# Gidel High-Performance Imaging & Vision Solutions > Official technical documentation and product index for Gidel, a global leader in high-performance FPGA-based imaging and vision solutions. This file contains detailed specifications for our complete portfolio of PCIe Frame Grabbers (Camera Link, CoaXPress, GigE Vision, and User-Defined Protocols), Edge AI Vision Systems (NVIDIA Jetson + FPGA), and Ultra-Compact FPGA Modules. It also covers our real-time image processing technologies, including SkyBoost (Aerial RAW to JPG Acceleration), SkyBoost-RT (Real-Time Aerial RAW to JPG Processing), and Compression IPs (Lossless, JPEG, Quality+). Additionally, it details our Camera Link and CoaXPress Camera Simulators, deterministic Image Acquisition Systems, Multi-Camera Vision Systems, and the ProcVision development suite for full Imaging & Vision ISP customization. > PCIe Frame Grabbers: Camera Link CoaXPress-12 GigE Vision (10, 40, 100+ GigE) User-Defined Protocols & custom options Edge AI Vision Systems (FantoVision) FantoVision: NVIDIA Jetson plus FPGA integrated systems for edge acquisition and real-time processing via 10GigE, CoaXPress-12, and Camera Link. Ultra-Compact FPGA Modules (Tiny) Embedded FPGA modules for custom imaging pipelines and system integration Real-Time Processing Technologies Full ISP pipelines, image enhancement, HDR Compression IPs: Lossless, JPEG, Quality+ SkyBoost: Batch RAW to JPG acceleration SkyBoost-RT: Real-time RAW to JPG processing Camera Simulation and Deterministic Replay Camera Link and CoaXPress camera simulators Deterministic, reproducible input streams for validation and debug Multi-camera synchronization and repeatable workloads Development and Customization ProcVision SDK and tools for implementing custom FPGA algorithms and proprietary IP --- ## Pages - [test](https://gidel-old.hostey.co.il/test/) - [Accessibility Statement](https://gidel-old.hostey.co.il/accessibility-statement/): Accessibility Statement Gidel Gidel is committed to ensuring digital accessibility for all visitors. This Accessibility Statement outlines how Gidel is... - [Custom FPGA Solutions](https://gidel-old.hostey.co.il/custom-fpga-solution/): Gidel’s Custom FPGA Solutions include both application-specific and open infrastructure solutions with tremendous flexibility to meet diverse compute acceleration and... - [Support](https://gidel-old.hostey.co.il/support-gidel/): Gidel support plays a critical role because our products are often key elements in customer systems. For this reason, we... - [About Us](https://gidel-old.hostey.co.il/about-us/): For over 30 years, Gidel has been a trusted provider of high-performance FPGA-based Imaging and Vision solutions, helping customers solve... - [News & Events](https://gidel-old.hostey.co.il/news-and-events/): News & Event blog, featuring Gidel’s latest FPGA-based vision & imaging technology developments, releases, and coming events. - [Contact Us](https://gidel-old.hostey.co.il/contact-us/): Reach out to Gidel to discuss your Imaging and Vision requirements and learn how our FPGA-based acceleration solutions can enhance... - [Privacy Policy & Cookie Policy](https://gidel-old.hostey.co.il/privacy-policy/): Privacy Policy Last Updated On: 28-Nov-2025Effective Date: 28-Nov-2025 This privacy policy describes how Gidel Ltd. collects, uses, and discloses your... - [Powering Real-Time Imaging & Vision Systems](https://gidel-old.hostey.co.il/): Real-Time Frame Grabber Solutions for Imagin & Vision Applications Gidel develops advanced FPGA-based frame grabber solutions to boost your high-performance... --- ## Posts - [ChipEx 2026: Meet Gidel at Israel’s Premier Semiconductor Event](https://gidel-old.hostey.co.il/chipex2026-exhibition/): Join Gidel at ChipEx 2026 to experience a live demo of FantoVision20-GigE, featuring real-time 10 GigE Vision acquisition, advanced single-exposure... - [2025: A Year of Breaking Barriers in Edge AI Vision](https://gidel-old.hostey.co.il/gidel-2025-milestones-edge-ai-vision/): We are proud to announce Gidel 2025 Milestones—a retrospective on how we redefined performance for Edge AI Vision. From smashing... - [Breaking the Jetson I/O Wall: Gidel’s FPGA-Powered Edge AI Vision Systems](https://gidel-old.hostey.co.il/edge-ai-vision-system/): Gidel Expands FantoVision with Three Dedicated Edge AI Vision Systems, introducing specialized models for CoaXPress 12, 10GigE Vision, and Camera... - [Meet Gidel at Vision & AI 2025](https://gidel-old.hostey.co.il/meet-gidel-at-vision-and-ai-2025/): Join us at Gidel Vision & AI 2025 to experience SkyBoost, a breakthrough technology that slashes high-resolution image processing time... - [Meeting the Challenges of High-Resolution Outdoor Imaging](https://gidel-old.hostey.co.il/meeting-the-challenges-of-high-resolution-outdoor-imaging/): High-resolution outdoor imaging faces critical challenges: extreme lighting, massive data streams, and strict SWaP limits. Discover how the partnership between... - [Meet Gidel at UVID 2025 – UAV & Defense Innovation Exhibition](https://gidel-old.hostey.co.il/meet-gidel-at-uvid-2025-uav-defense-innovation-exhibition/): Join Gidel at UVID 2025 to experience SkyBoost, a breakthrough technology that accelerates high-resolution image processing from 20 seconds to... - [Improving Performance in Low Latency Systems Without Added Latency](https://gidel-old.hostey.co.il/low-latency-system-fpga/): In modern AI and vision applications, true performance requires more than just speed—it demands a balance of throughput, accuracy, and... - [Meet Gidel at the Military & Aviation Exhibition](https://gidel-old.hostey.co.il/meet-gidel-at-the-military-aviation-exhibition-fpga-imaging-solutions/): Join us at the Military & Aviation Exhibition 2025 to explore Gidel Defense Imaging solutions. We will showcase our FantoVision20-CL... - [Defense Solutions Exhibition](https://gidel-old.hostey.co.il/defense-solutions-exhibition/): Join Gidel at the Defense Solutions Exhibition to experience our live FantoVision-20 demo, featuring real-time 10 GigE acquisition, advanced single-exposure... - [ChipEX 2025 Exhibition](https://gidel-old.hostey.co.il/chipex2025-exhibition/): Join Gidel at the ChipEX2025 Exhibition to experience our live FantoVision-20 demo, featuring real-time 10 GigE acquisition, advanced single-exposure HDR,... - [Meet Gidel at Vision China 2025](https://gidel-old.hostey.co.il/vision-china-2025/): Join Gidel at Vision China 2025 in Shanghai to experience the future of machine vision. Visit Hall W5, Booth 5417... - [Israel Machine Vision Conference (IMVC) 2025](https://gidel-old.hostey.co.il/join-us-at-imvc-2025-gidel/): Join Gidel at IMVC 2025 to experience our next-generation vision solutions. Visit Pavilion 10, Booth 7 to see live demos... - [Gidel Quality+ Compression Recognized as a Top Innovation for 2025 by inVISION Magazine](https://gidel-old.hostey.co.il/gidel-quality-plus-compression-top-innovation-2025/): Gidel Quality+ compression has been honored as a Top 10 Innovation of 2025 by inVISION Magazine. Discover how this award-winning... - [2024: A Year of Innovation and Milestones](https://gidel-old.hostey.co.il/2024-a-year-of-innovation-and-milestones-gidel/): Reflecting on a transformative year, Gidel 2024 Milestones highlight our launch of ruggedized edge computing solutions and enhanced modular FPGA... - [New Tech Military & Aviation Exhibition 2024](https://gidel-old.hostey.co.il/military-aviation-2024/): Join us at Gidel Military Aviation 2024 to explore mission-critical imaging solutions. Visit the Eastronics booth at Pavilion 10 to... - [AI Breast Cancer Screening Device Uses Gidel’s FantoVision](https://gidel-old.hostey.co.il/breast-cancer-screening-device-thermomind-case-study/): ThermoMind introduces Vision One, a radiation-free breast cancer screening device powered by Gidel’s FantoVision40. By combining multimodal sensing with real-time... - [Gidel Embedded Vision Platform at Embedded World 2024](https://gidel-old.hostey.co.il/gidel-embedded-vision-platform-embedded-world-2024/): Join us at Embedded World 2024 in Nuremberg to experience the Gidel Embedded Vision Platform. Visit booth 2-559 to see... - [Edge Imaging Bandwidth Webinar: Overcoming Bandwidth Limits on the Edge](https://gidel-old.hostey.co.il/webinar-overcoming-bandwidth-limitations-when-imaging-on-the-edge/): Join Reuven Weintraub, Founder and CTO of Gidel, as he demonstrates how to overcome high-bandwidth imaging challenges at the edge.... - [Gidel CamSim-X Camera Simulator Now Supports CXP-12 Interface](https://gidel-old.hostey.co.il/gidel-camsim-camera-simulator-now-supports-cxp-12-interface/): Upgrade your testing capabilities with Gidel’s updated CamSim platform, now featuring full CXP-12 support. This enhancement doubles CoaXPress speeds from... - [Gidel’s FantoVision Honored by the 2023 Vision Systems Design Award for Edge Computer Vision](https://gidel-old.hostey.co.il/fantevision-edge-computer-vision-award-2023/): Innovative edge computer vision takes center stage as Gidel’s FantoVision platform receives the Silver Award from Vision Systems Design. Recognized... - [High-Speed Image Acquisition | Gigapixel Processing per second in Vision Systems](https://gidel-old.hostey.co.il/high-speed-image-acquisition/): Achieving reliable high-speed image Acquisition now requires handling massive data loads, often demanding Gigapixel Processing per second in Vision Systems.... - [First Heterogeneous Embedded Vision Systems Combining Jetson and FPGA](https://gidel-old.hostey.co.il/embedded-vision-system-fantovision20-40/): Gidel integrates the NVIDIA Jetson Orin NX 16GB into the FantoVision series, creating a breakthrough heterogeneous embedded vision system. With... - [Enabling High-Speed AOI Machines in Mail Sorting](https://gidel-old.hostey.co.il/enabling-high-speed-aoi-machines-for-sorting-applications/): Discover how a leading mail sorting manufacturer leveraged Gidel’s FPGA-based vision infrastructure to optimize high-speed AOI Machines. By integrating the... - [High Quality Image Compression — Compressing Image Data, Not Image Quality](https://gidel-old.hostey.co.il/compressing-image-data-not-image-quality/): As modern sensors drive data rates to gigapixel levels, standard codecs often sacrifice detail for bandwidth. This article explores how... - [FPGA Wireless Research Powered by Gidel Technology](https://gidel-old.hostey.co.il/fpga-wireless-research/): Discover how TU Berlin utilizes Gidel technology in their latest FPGA wireless research to enable real-time Massive MIMO processing. This... - [Fast & Furious Embedded Computer Vision Platform for 20 Gb/s Processing](https://gidel-old.hostey.co.il/embedded-computer-vision-fantovision-20/): Discover the FantoVision 20, an ultra-compact embedded computer vision solution delivering real-time processing at up to 20 Gb/s. Combining NVIDIA... - [Stratix 10 NX Module and PCIe Board for AI and Vector Processing](https://gidel-old.hostey.co.il/stratix-10-nx-fpga-module/): Gidel introduces the Proc10N module and Proc1C10N PCIe board, the first commercial platforms powered by the Intel Stratix 10 NX.... - [FPGA vs GPU | Is This the End of FPGA?](https://gidel-old.hostey.co.il/fpga-vs-gpu-interview/): In the Next FPGA Platform conference, Gidel Founder & CTO Reuven Weintraub explains why FPGAs are reclaiming the spotlight in... - [CertifEye Speeds Up FPGA and ASIC Development by 3×](https://gidel-old.hostey.co.il/fpga-image-processing-certifeye/): Accelerate your FPGA imaging projects with CertifEye, Gidel’s real-time validation tool. By enabling developers to inject and analyze test images... - [Gidel First to Market with 100Gb/s CoaXPress CXP 12 Frame Grabber](https://gidel-old.hostey.co.il/news-cxp-12-frame-grabber-8-link-100gbps/): Gidel, a technology leader in cutting-edge Vision and Imaging solutions based on FPGAs, today announced the Proc1C10N-CXP12, a new CoaXPress... - [Gidel Launches Real-Time JPEG Compression IP](https://gidel-old.hostey.co.il/jpeg-fpga-compression-ip/): Gidel, a technology leader in cutting-edge Vision and Imaging solutions based on FPGAs, today announced a new real-time JPEG Compression... - [Gidel Launches Real-Time Reversible Compression IP](https://gidel-old.hostey.co.il/fpga-reversible-compression-ip/): Gidel, a technology leader in high-performance accelerators utilizing FPGAs, today announced a new Reversible Compression IP. This breakthrough solution reduces... - [FPGA Acceleration Powers CHREC’s Reconfigurable Supercomputer](https://gidel-old.hostey.co.il/fpga-acceleration-chrec-supercomputer/): Discover how CHREC utilized Gidel’s FPGA acceleration technology to build Novo-G, the world’s fastest research-focused reconfigurable supercomputer. Learn how our... - [Gidel Powers New 360 Degree Camera Solution for VR and AR](https://gidel-old.hostey.co.il/360-degree-camera-system/): Discover how Gidel’s InfiniVision technology powers next-gen VR with a fully synchronized 24-camera array. Learn how our scalable FPGA architecture... --- ## Products - [SkyBoost-RT](https://gidel-old.hostey.co.il/product/skyboost-rt-aerial-imaging/): Product Overview SkyBoost-RT is a dedicated solution for real-time aerial imaging and similar applications, designed to accelerate End-to-End processing directly... - [SkyBoost](https://gidel-old.hostey.co.il/product/skyboost-fastest-raw-to-jpg-acceleration/): Product Overview SkyBoost is a workstation-grade acceleration solution designed to eliminate post-processing bottlenecks by performing high-volume and high quality RAW... - [ProcFG](https://gidel-old.hostey.co.il/product/image-acquisition-system-procfg/): ProcFG: Deterministic Image Acquisition System ProcFG is Gidel’s deterministic image acquisition system, engineered to reliably capture every frame produced by... - [Proc1C10N-CXP12](https://gidel-old.hostey.co.il/product/octo-cxp-12-frame-grabber/): Proc1C10N-CXP12: Octo CXP 12 Frame Grabber with Real-Time Image Processing The Proc1C10N-CXP12 is a high-performance Octo CXP 12 Frame Grabber... - [FantoVision40-CXP12](https://gidel-old.hostey.co.il/product/jetson-coaxpress/): FantoVision40‑CXP12: Jetson CoaXPress Vision Frame Grabber System The FantoVision40-CXP12 is a rugged Jetson system with a fully integrated CoaXPress-12 frame... - [FantoVision20-GigE](https://gidel-old.hostey.co.il/product/jetson-gige/): FantoVision20-GigE: Jetson GigE Vision Frame Grabber System The FantoVision20-GigE is a rugged Jetson system with a fully integrated GigE Vision... - [FantoVision20-CL](https://gidel-old.hostey.co.il/product/jetson-camera-link/): FantoVision20-CL: Jetson Camera Link Frame Grabber System The FantoVision20-CL is a rugged Jetson system with a fully integrated Camera Link... - [CamSim-X](https://gidel-old.hostey.co.il/product/coaxpress-simulator/): CamSim-X: CoaXPress Camera Simulator The CamSim-X is a high-performance CoaXPress camera simulator designed for testing and validating imaging systems and... - [ProcWizard](https://gidel-old.hostey.co.il/product/fpga-programming-sdk/): FPGA Programming SDK Gidel’s FPGA Programming SDK streamlines development by offering both Board Support Packages (BSPs) and Application Support Packages... - [HDR Correction](https://gidel-old.hostey.co.il/product/high-dynamic-range-hdr-ip/): HDR IP Correction: High Performance Single Exposure While traditional HDR relies on multiple exposures — a method often impractical for... - [ProcVision Suite](https://gidel-old.hostey.co.il/product/modular-vision-sdk-for-fpga/): Modular Vision SDK for FPGA Development Gidel’s ProcVision Suite is a Modular Vision SDK for FPGA Development. It provides a... - [Proc1C10M](https://gidel-old.hostey.co.il/product/proc1c10m-accelerator-card/): Proc1C10M – High-Performance FPGA Accelerator Card with HBM2 Technology The Proc1C10M™ is a compact, ultra-high-performance accelerator card built on Altera... - [Proc1C10N](https://gidel-old.hostey.co.il/product/proc1c10n-fpga-accelerator/): Proc1C10N: AI-Optimized FPGA Accelerator with HBM2 Technology The Proc1C10N™ is a compact, ultra-high-performance FPGA accelerator built on Altera Stratix® 10... - [Proc10A-40GigE](https://gidel-old.hostey.co.il/product/proc10a-40-gige-card-smart-nic/): High-Performance GigE Card Frame Grabber: Proc10A-40GigE The Proc10A-40GigE is a high-performance GigE card designed for real-time image acquisition, processing, and... - [Quality+ Compression](https://gidel-old.hostey.co.il/product/improved-snr-real-time-lossless-compression/): Gidel’s Quality+ lossless Compression Alternative for High-Speed Imaging & Vision Gidel’s Quality+ compression is an FPGA-based real-time compression for Color... - [HawkEye-20GigE](https://gidel-old.hostey.co.il/product/hawkeye-20gige-frame-grabber/): HawkEye-20GigE: Dual 10 GigE Frame Grabber The HawkEye-20GigE is a high-performance GigE frame grabber designed for real-time image acquisition, processing,... - [Lossless Compression](https://gidel-old.hostey.co.il/product/lossless-compression/): Gidel’s lossless Image Compression IP targets FPGA-based Imaging & Vision applications. This lossless image compression IP performs real-time compression for... - [JPEG Compression](https://gidel-old.hostey.co.il/product/jpeg-encoder/): Gidel’s real-time JPEG encoder delivers high-performance JPEG compression directly on FPGA. This JPEG encoder features fast processing, ultra-low latency, and... - [CamSim-CL](https://gidel-old.hostey.co.il/product/camera-link-simulator/): CamSim-CL: Camera Link Simulator The CamSim-CL is a high-performance Camera Link simulator designed for testing and validating imaging systems and... - [FDB Modules](https://gidel-old.hostey.co.il/product/tiny-fpga-modules/): FDB Series: Tiny FPGA Modules for High-Performance Embedded Systems The FDB series includes FDB16 (49 × 54 mm), FDB27 (58... - [HawkEye](https://gidel-old.hostey.co.il/product/low-power-accelerator-board/): HawkEye: Low Power Accelerator Board The HawkEye™ is a low-profile, low power accelerator board built on Altera Arria 10 GX... - [Proc10N](https://gidel-old.hostey.co.il/product/fpga-for-ai/): Proc10N: Compact FPGA for AI and High-Performance Embedded Systems The Proc10N™ is a compact FPGA for AI module powered by... - [Proc10M](https://gidel-old.hostey.co.il/product/small-fpga-module/): Proc10M: Small FPGA Module for High-Performance Embedded Systems The Proc10M™ is a compact, high-performance FPGA module designed for embedded and... - [Proc1C10N-120GigE](https://gidel-old.hostey.co.il/product/proc10n-100-gige-vision-frame-grabber/): Proc1C10N-120GigE: 100GigE Vision Frame Grabber for AI & High-Bandwidth Applications The Proc1C10N-120GigE is a high-performance 100GigE Vision Frame Grabber designed... - [Proc1C10M-120GigE](https://gidel-old.hostey.co.il/product/proc10m-100gige-frame-grabber/): Proc1C10M-120GigE: 100GigE Frame Grabber for High-Bandwidth Vision Systems The Proc1C10M-120GigE is a high-performance 100GigE frame grabber designed for compute-intensive, high-throughput,... - [InfiniVision](https://gidel-old.hostey.co.il/product/multi-camera-vision-system/): InfiniVision: Scalable Multi-Camera Vision System InfiniVision is a high-performance multi-camera system that powers Gidel’s scalable Imaging & Machine Vision platform,... - [Proc10S](https://gidel-old.hostey.co.il/product/proc10s-accelerator-board/): Proc10S: Accelerator Board The Proc10S™ is a high-performance, scalable accelerator board built on Altera Stratix® 10 GX FPGA technology. Designed... - [Proc10A](https://gidel-old.hostey.co.il/product/fpga-accelerator-card/): Proc10A: High-Performance FPGA Accelerator Card The Proc10A™ is a flexible, high-performance, low-power FPGA accelerator card built on Altera’s Arria® 10... - [HawkEye-CXP12](https://gidel-old.hostey.co.il/product/hawkeye-cxp-12-frame-grabber/): HawkEye-CXP12: Quad CoaXPress 12 Frame Grabber The HawkEye-CXP12 is a high-performance Quad CoaXPress 12 Frame Grabber designed for real-time image... - [Proc10A-CXP](https://gidel-old.hostey.co.il/product/proc10a-cxp-6-frame-grabber/): Proc10A-CXP: Octo CXP 6 Frame Grabber with Real-Time Image Processing The Proc10A-CXP is a high-performance Octo CXP 6 Frame Grabber... - [HawkEye-CL](https://gidel-old.hostey.co.il/product/camera-link-frame-grabber/): HawkEye-CL: Camera Link Frame Grabber The HawkEye-CL is a high-performance Camera Link Frame Grabber designed for real-time acquisition and FPGA-based... - [FantoVision40](https://gidel-old.hostey.co.il/product/jetson-frame-grabber/): FantoVision40: Jetson Frame Grabber (Quad CoaXPress-12 & 10GigE) The FantoVision40 is a rugged Jetson system with a fully integrated frame... - [FantoVision20](https://gidel-old.hostey.co.il/product/jetson-dual-interface-frame-grabber/): FantoVision20: Jetson Dual Interface Frame Grabber (10GigE & Camera Link) The FantoVision20 is a rugged Jetson system with a fully... --- ## Applications - [UAV / Drone Computer Vision Systems](https://gidel-old.hostey.co.il/application/drone-computer/): Drone Computer for Imaging & Vision Applications A drone computer must process data instantly. UAV missions demand low latency and... - [High-Speed Solutions for Optical Sorting Machines](https://gidel-old.hostey.co.il/application/sorting-machines/): Scalable Vision Architecture for Optical Sorting Machines Modern optical sorting machines depend on advanced vision architectures to deliver high accuracy... - [Volumetric Imaging & Augmented Reality Solutions](https://gidel-old.hostey.co.il/application/volumetric-imaging-augmented-reality/): Gidel provides a modular FPGA-based vision infrastructure designed to support real-time volumetric imaging and augmented reality applications. These systems enable... - [Modular Medical Imaging Solutions](https://gidel-old.hostey.co.il/application/modular-medical-imaging/): Gidel delivers advanced medical imaging solutions built on FPGA-based image acquisition and processing architectures. These solutions address the demanding requirements... - [Embedded FPGA Solutions for Embedded Vision](https://gidel-old.hostey.co.il/application/embedded-fpga-solutions-for-embedded-vision/): Gidel’s embedded FPGA solutions address the growing demand for high-performance, compact, and power-efficient embedded systems. Gidel delivers a broad portfolio... - [Automation Vision in Automatic Test Equipment](https://gidel-old.hostey.co.il/application/automation-vision-automatic-test-equipment/): Automation Vision enables modern Automatic Test Equipment (ATE) to test electronic systems and components with high precision. As a result,... - [Defense Imaging Solutions](https://gidel-old.hostey.co.il/application/defense-imaging-solutions/): Gidel builds FPGA-based defense imaging solutions on a modular vision architecture that supports high-performance, mission-critical defense applications. These systems deliver... - [High-Performance Imaging Solutions](https://gidel-old.hostey.co.il/application/vision-imaging-solutions/): Gidel’s imaging solutions empower companies to deliver high-performance, real-time vision systems. With over 30 years of FPGA expertise, we combine... --- # # Detailed Content ## Pages - Published: 2025-12-28 - Modified: 2025-12-28 - URL: https://gidel-old.hostey.co.il/test/ test - Gidel test - Gidel Applications Vision & Imaging UAV/Drone Imaging Systems Defense Imaging Solutions Medical Imaging Sorting Machines Volumetric Imaging Embedded Vision Automatic Test Equipment Solutions PCIe Frame Grabbers GigE Vision Frame Grabbers Dual 10GigE Vision Quad 10GigE Vision 12x 10GigE Vision 12x 10GigE Vision + AI Option CoaXPress Frame Grabbers Octo CoaXPress 12 Quad CoaXPress 12 Octo CoaXPress 6 Camera Link Frame Grabbers Camera Link Card Mini Jetson Frame Grabbers Dual 10GigE System Quad Coaxpress-12 System Camera Link System Dual 10GigE + Camera Link System Quad CXP-12 & 10GigE System Aerial RAW to JPG Acceleration Post-Processing RAW to JPG Real-Time RAW to JPG Camera Simulators Camera Link simulator CoaXPress Simulator Mini Powerful FPGA Modules FDB Modules Proc10M Proc10N Image Acquisition Systems Multi-Camera Vision System Deterministic Image Acquisition GIL- Gidel Imaging Library (IPs) Image Compression Options JPEG Compression Lossless Compression Quality+ Compression High Dynamic Range (HDR) Customization options FPGA Accelerator Cards HawkEye Proc10A Proc1C10M Proc1C10N Proc10S Recording & Streaming Modular Solutions Development Tools Support About Us News & Events Contact Us test SearchSearchRecent Posts2025: A Year of Breaking Barriers in Edge AI Vision Breaking the Jetson I/O Wall: Gidel’s FPGA-Powered Edge AI Vision Systems Meet Gidel at Vision & AI 2025 Meeting the Challenges of High-Resolution Outdoor Imaging Meet Gidel at UVID 2025 – UAV & Defense Innovation Exhibition Recent CommentsNo comments to show.Archives January 2026 December 2025 November 2025 May 2025 February 2025 January 2025 November 2024 July 2024 April 2024 September 2023 June 2023 May 2023 February 2023 January 2023 December 2022 October 2022 March 2022 July 2021 February 2021 February 2020 October 2019 September 2019 November 2018 June 2018 November 2017 Categories Technical Articles Events Case Studies Press release Webinars & Tech Talks Company Updates 12 Ha’ilan St., Northern Ind. 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You can find out more about which cookies we are using or switch them off in settings. Accept Reject Close GDPR Cookie Settings Privacy Overview Strictly Necessary Cookies Powered by  GDPR Cookie Compliance Privacy Overview This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful. Strictly Necessary Cookies Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings. Enable or Disable Cookies Enabled Disabled Enable All Save Settings --- - Published: 2025-08-28 - Modified: 2025-11-28 - URL: https://gidel-old.hostey.co.il/accessibility-statement/ Accessibility Statement Gidel Gidel is committed to ensuring digital accessibility for all visitors. This Accessibility Statement outlines how Gidel is working to make Gidel. com usable and accessible to people with disabilities. Current Status We are in the process of organizing and updating our website to improve accessibility for all users. While accessibility features are not yet fully implemented, we are actively working toward alignment with recognized standards such as the Web Content Accessibility Guidelines (WCAG) 2. 1 AA. To learn about our broader practices, you may visit our Privacy Policy & Cookie Policy. Our Commitment We are committed to the following principles: Providing an inclusive online experience for every user. Reviewing our content, design, and development practices to identify and remove accessibility barriers. Implementing improvements as part of our ongoing website updates. Following industry-recognized standards and consulting WCAG documentation when planning upgrades. (WCAG reference: https://www. w3. org/WAI/standards-guidelines/wcag/) Feedback and Contact Information We welcome your feedback regarding the accessibility of our website. If you experience difficulty accessing any content on Gidel. com, or if you have recommendations for improvement, please contact us: Email: support@gidel. comPhone: +972-4-6102500 We will make every effort to respond promptly and provide the information you need in an accessible format. --- - Published: 2023-06-28 - Modified: 2026-02-12 - URL: https://gidel-old.hostey.co.il/custom-fpga-solution/ Gidel’s Custom FPGA Solutions include both application-specific and open infrastructure solutions with tremendous flexibility to meet diverse compute acceleration and Machine Vision possibilities. We offer three levels of custom FPGA solutions, catering to different market needs: A fully developed solution ready for immediate use with options for off-the-shelf modular FPGA modification. Examples of such solutions include edge computer, frame grabbers, and camera simulators. A fully open FPGA solution enabling modifying the data flow and implementing algorithms on the FPGA of Gidel's products, including edge computer, frame grabbers, and accelerator boards. For this type of solution, the Gidel Proc Dev Kit and the Proc Vision suite significantly simplify the development and optimizes system performance. A fully tailored solution based on Gidel’s existing infrastructure and vast R&D experience, including algorithm research and customization for optimized FPGA usage. This option provides users with optimal acquisition capability and subsystem acceleration tailored to their application specifications. --- - Published: 2023-04-04 - Modified: 2026-01-05 - URL: https://gidel-old.hostey.co.il/support-gidel/ Gidel support plays a critical role because our products are often key elements in customer systems. For this reason, we provide top-class assistance and continuously improve the quality of our products. Our FPGA-Based solutions meet demanding imaging and vision needs. Our support team helps you adopt them smoothly and keep your system running reliably. We assist you with: • selecting the right technology. • customizing your solution. • integrating our products into your system. • troubleshooting any issues. For modular Imaging and Vision solutions, please contact us. --- - Published: 2023-04-03 - Modified: 2026-03-22 - URL: https://gidel-old.hostey.co.il/about-us/ For over 30 years, Gidel has been a trusted provider of high-performance FPGA-based Imaging and Vision solutions, helping customers solve complex imaging challenges with accuracy, precision, and modularity. We specialize in real-time high-resolution imaging, supporting advanced applications that require low latency, power efficiency, and custom FPGA-based processing. Gidel imaging and vision solutions are designed for mission-critical applications. Our customers rely on Gidel to deliver complete system solutions — from camera interfacing and image enhancement to real-time compression and HDR. Whether you're developing a full solution or need to integrate FPGA capabilities into your system, Gidel offers a seamless path. Our Mini Jetson Frame Grabbers, frame grabbers (10, 40, and 100+ GigE Vision, CoaXPress-12, Camera Link), and Mini FPGA Modules can be delivered as off-the-shelf or customized products. In addition, Gidel provides a flexible Development Tools for customers who want to design their own FPGA imaging pipelines. With Gidel’s development tools, engineers can implement custom algorithms, integrate proprietary IP, and create tailored workflows on the FPGA — significantly reducing development effort and time to market. Our technology is trusted across industries, including: Military & Defense Recording & Streaming Applications Aerospace (including drones and UAVs) Medical Imaging Outdoor Imaging Sports Analytics ATE (Automated Test Equipment) Electron Microscopy Industrial Inspection & Sorting Machines Agriculture Scientific Research --- - Published: 2022-11-22 - Modified: 2025-11-30 - URL: https://gidel-old.hostey.co.il/news-and-events/ News & Event blog, featuring Gidel's latest FPGA-based vision & imaging technology developments, releases, and coming events. --- - Published: 2022-07-27 - Modified: 2025-11-28 - URL: https://gidel-old.hostey.co.il/contact-us/ Reach out to Gidel to discuss your Imaging and Vision requirements and learn how our FPGA-based acceleration solutions can enhance your system performance. Our team is ready to answer your questions, provide pricing and technical guidance, and help you choose the ideal solution for your application. --- - Published: 2022-07-10 - Modified: 2025-12-09 - URL: https://gidel-old.hostey.co.il/privacy-policy/ Privacy Policy Last Updated On: 28-Nov-2025Effective Date: 28-Nov-2025 This privacy policy describes how Gidel Ltd. collects, uses, and discloses your information when you visit or interact with Gidel. com. By using the Service, you agree to the practices outlined here. If you do not agree, please stop using the Service. We may update this Privacy Policy without prior notice. Updates become effective 180 days after posting. We recommend reviewing this page periodically. 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We may also disclose your information when required to: Comply with legal obligations Enforce our agreements Respond to claims regarding your use of the Service Transfer assets if our company is merged or acquired Retention of Your Information We retain your personal information for 90 days after your request has been answered, or as long as necessary to fulfill the purposes described in this Privacy Policy. Some information may be kept longer if required by law, for record-keeping, fraud prevention, or enforcement of legal rights. Anonymous or aggregated data may be stored indefinitely. Your Rights Depending on applicable law, you may have the right to: Access, correct, or delete your personal data Request a copy of your data Restrict or object to processing Request transfer of your data Withdraw consent File a complaint with a regulator To exercise these rights, contact us at support@gidel. com. We will respond in accordance with applicable laws. If you choose not to provide required information, or withdraw consent, you may not be able to access certain services. Cookies For details on how we use cookies and tracking technologies, please refer to our Cookie Policy below. Security We use reasonable technical measures to protect your information. Despite this, no method of transmission or storage is fully secure. You provide information at your own risk. Links to Third-Party Sites Our Service may contain links to external websites. We are not responsible for their content, policies, or practices. We recommend reviewing their privacy policies. Grievance / Data Protection Officer If you have concerns about how your information is handled, you may contact our Grievance Officer: Gidel Ltd. 12 Ha’ilan St. , Northern Industrial Zone, P. O. Box 281Email: support@gidel. com We will address your concerns in accordance with applicable law. Cookie Policy Effective Date: 28-Nov-2025Last Updated: 28-Nov-2025 What Are Cookies? This Cookie Policy explains what cookies are, how we use them, the types of cookies we use, the information we collect through cookies, how that information is used, and how you can manage your cookie settings. Cookies are small text files stored on your device when a website loads in your browser. They help the website function properly, improve security, enhance user experience, and provide performance insights so we can understand what works well and what needs improvement. How We Use Cookies Like most online services, our website uses both first-party and third-party cookies. First-party cookies are essential for website functionality. They do not collect personally identifiable information. Third-party cookies help us understand how the website performs, how users interact with specific pages, keep our services secure, deliver relevant advertisements, and improve the overall user experience. These cookies also help speed up future visits to our website. Types of Cookies We Use We use several categories of cookies, including essential cookies, performance cookies, functional cookies, and advertising cookies. Each category supports a different part of your browsing experience and system performance. (If you want, I can generate a detailed cookie table that matches your actual setup. ) Manage Cookie Preferences You can change your cookie preferences anytime by clicking the Cookie Settings button on this page. This will reopen the cookie consent banner, where you can update your choices or withdraw your consent. Managing Cookies Through Your Browser Most browsers allow you to block or delete cookies. You can modify your browser settings to manage cookies directly. Below are links to support pages for major browsers: Chrome: https://support. google. com/accounts/answer/32050 Safari: https://support. apple. com/en-in/guide/safari/sfri11471/mac Firefox: https://support. mozilla. org/en-US/kb/clear-cookies-and-site-data-firefox Internet Explorer: https://support. microsoft. com/en-us/topic/how-to-delete-cookie-files-in-internet-explorer-bca9446f-d873-78de-77ba-d42645fa52fc If you use another browser, please refer to its official support documentation. --- - Published: 2022-07-10 - Modified: 2026-05-26 - URL: https://gidel-old.hostey.co.il/ Real-Time Frame Grabber Solutions for Imagin & Vision Applications Gidel develops advanced FPGA-based frame grabber solutions to boost your high-performance imaging and vision applications. With over 30 years of experience, we serve industries including defense, medical, industrial automation, aerospace, and AI vision. Portfolio: PCIe cards, Mini Vision Edge PCs & FPGA modules & Tools Our frame grabber solutions portfolio includes PCIe Frame Grabbers, Mini Jetson Frame Grabber systems and FPGA development tools. Gidel’s hardware supports 1, 2. 5, 5, 10, 20, 40, and 100+ GigE Vision, CoaXPress, and Camera Link interfaces. We offer compact PCIe boards and ruggedized Nvidia Mini Jetson Frame Grabber Systems for embedded and airborne platforms. Our Edge imaging systems combine an FPGA Frame Grabbers with NVIDIA Jetson Orin and Nvidia Jetson Xavier for powerful, low-latency frame grabber solutions. This makes them ideal for UAVs, drones, and mobile applications where size, weight, and power (SWaP) are critical. Gidel’s systems can capture data from multiple cameras simultaneously, offering up to 40 Gb/s of acquisition bandwidth. We provide real-time image processing on FPGAs, including advanced features such as HDR, white balance, image enhancement, and pre-processing. Our compression options include JPEG, lossless, H. 264, H. 265, and Gidel’s proprietary Quality+ compression, ensuring a superior image-quality-to-compression ratio. Gidel also supports long-duration recording with up to 2 TB SSDs and real-time streaming. This is essential for applications like inspection systems, scientific research, autonomous platforms, and security systems. We design our compact FPGA modules for easy integration and customization. Gidel’s solutions are modular, enabling customers to start with an off-the-shelf platform and expand to support their specific protocols and needs. Whether you require camera protocol adaptation, dataflow customization, or unique AI pipelines, our tools and IPs make it possible. Gidel’s ProcVision Suite and Proc Dev Kit streamline development, offering a powerful environment to test, simulate, and implement your vision system—from acquisition to processing and from software to FPGA integration. We are dedicated to providing reliable, scalable, and innovative frame grabber solutions. Whether for machine vision, volumetric video, medical diagnostics, or autonomous systems, Gidel helps customers push the boundaries of real-time imaging and edge computing. --- --- ## Posts - Published: 2026-04-20 - Modified: 2026-05-05 - URL: https://gidel-old.hostey.co.il/chipex2026-exhibition/ - Categories: Events - Tags: HDR, Image Enhancements, Acquisition, High-Bandwidth, Edge AI Vision, Embedded Vision, CoaXPress, Quality+ Compression, Edge computer, ChipEX, FantoVision, Acceleration, GigE Vision, FPGA, Camera Link, Image Algorithms, Image Processing, Jetson, Low-Latency, Frame Grabber Join Gidel at ChipEx 2026 to experience a live demo of FantoVision20-GigE, featuring real-time 10 GigE Vision acquisition, advanced single-exposure HDR, and Quality+ compression. Discover how Gidel’s Altera-based FPGA platforms deliver sub-frame latency and deterministic performance for demanding semiconductor and embedded AI vision systems. Gidel will present its latest breakthroughs in FPGA-based imaging and AI vision technologies at ChipEx 2026 exhibition, Israel’s premier international event for the chip and semiconductor industry. Date: May 12, 2026 Location: Pavilion 10 Expo, Tel Aviv Visit Gidel at the exhibition to experience cutting-edge FPGA-based solutions for high-performance imaging, real-time processing, and embedded AI applications. Live Demo at ChipEx 2026 Exhibition At this year’s show, Gidel will showcase a live demo of our latest innovation: Real-Time 10 GigE Vision Acquisition with Advanced HDR & Industry-Leading Compression Powered by Gidel’s FantoVision20-GigE Edge AI Vision system combining NVIDIA Jetson Orin NX and Altera’s FPGA, this demo highlights several advanced capabilities: Real-time 10 GigE Vision acquisition for high-speed, low-latency imaging. High-quality, single-exposure HDR, improving brightness in dark regions and preserving contrast in bright areas. Gidel’s Quality+ compression IP, ensuring unmatched image-quality-to-compression efficiency. Sub-frame latency made possible by an extremely efficient FPGA architecture. Why This Matters This demonstration shows how Gidel’s modular IPs and edge platforms enable deterministic performance, real-time image enhancement, and ultra-low-latency processing, capabilities essential for AI-driven vision systems in demanding semiconductor, defense, and industrial environments. In addition, Gidel will present its complete frame grabber portfolio, based on Altera FPGAs. These platforms address the most demanding high-bandwidth imaging requirements and are available for GigE Vision, Camera Link, and CoaXPress applications. As a result, developers gain stable and predictable acquisition pipelines for modern production and inspection systems. Explore Gidel Solutions Quality+ Real-Time Compression Real-Time HDR IP Core Gidel Frame Grabbers Portfolio Join us at the ChipEx 2026 exhibition on May 12 to see firsthand how Gidel is shaping the next generation of imaging, processing, and embedded vision systems. --- - Published: 2026-01-01 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/gidel-2025-milestones-edge-ai-vision/ - Categories: Company Updates - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, NVIDIA, FantoVision, Acceleration, GigE Vision, FPGA Acceleration, Camera Link, illunis, Image Algorithms, 1stVision, Image Processing, inVISION, Jetson, Viewsitec, Low-Latency We are proud to announce Gidel 2025 Milestones—a retrospective on how we redefined performance for Edge AI Vision. From smashing the 'Jetson I/O Wall' to mastering high-resolution outdoor imaging, discover how we solved critical bottlenecks for mission-critical applications this past year. Gidel 2025 Milestones This past year has been defined by specialized innovation, industry recognition, and global engagement. We successfully broke the 'Jetson I/O Wall' with our FantoVision series, tackled the toughest challenges in high-resolution imaging, and were honored with prestigious awards. The following sections summarize the Gidel 2025 Milestones that shaped this success. 1. Three New Dedicated Edge AI Vision Systems We launched the new FantoVision series, delivering interface-specific optimization for developers requiring peak performance and determinism: FantoVision40-CXP12: Mini Ruggedized NVIDIA Jetson + Quad PoCXP-12 links (50 Gb/s) Altera FPGA Frame Grabber FantoVision20-GigE: Mini Ruggedized NVIDIA Jetson + Dual 10GigE Vision (20 Gb/s) Altera FPGA Frame Grabber FantoVision20-CL: Mini Ruggedized NVIDIA Jetson + Full Camera Link (6. 8 Gb/s) Altera FPGA Frame Grabber 2. Mastering High-Resolution Acquisition & Low-Latency Imaging We released comprehensive solutions to tackle the toughest environmental and timing challenges: High-Resolution Outdoor Imaging: In partnership with illunis, we implemented real-time FPGA preprocessing (HDR, white balance, dynamic luminance balance) and on-the-fly 10× compression directly at the edge. This architecture managed massive 103 MP data streams with zero frame loss, reducing mission storage needs from 12 TB to 1. 2 TB. Adding System Performance Without adding Latency: We optimized the imaging pipeline by offloading heavy computational tasks—specifically: Demosaicing, HDR Correction, compression, protocol parsing, and binning—directly to the FPGA. This leaves the CPU free for high-level decision logic, ensuring deterministic low latency and throughput exceeding 1 gigapixel per second. 3. Industry Recognition & Expansion Top Innovation Award: Our Quality+ Compression technology was honored with the inVISION Award 2025 for its ability to deliver Alternative Lossless Compression with Uncompromised real-time Image quality at 10:1+ ratio. Strategic Partnership: We signed a new exhibitor contract with 1stVision (US) to expand our reach in the Vision & Imaging market and celebrated 5 years of strong collaboration with Viewsitec. Global Exhibitions: Gidel showcased its innovations worldwide, participating in: Vision China (Shanghai) IMVC (Tel-Aviv) ChipEX (Tel Aviv) Defense Solutions (Herzliya) Vision China (Beijing) Vision China (Shenzen) Military & Aviation (Tel Aviv) UVID DroneTech (Tel Aviv) Vision & AI (Tel Aviv) Vision for 2026 – Building on Gidel 2025 Milestones As we enter the new year, we remain dedicated to pushing the boundaries of what’s possible in FPGA-based Imaging & Vision. Gidel 2025 Milestones set the stage for deeper integration of Edge AI Vision in mission-critical applications—from the factory floor to the open sky. We look forward to achieving new breakthroughs with our partners and clients in 2026. Wishing you all a successful and fulfilling year ahead. Gidel Team --- - Published: 2025-12-12 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/edge-ai-vision-system/ - Categories: Technical Articles - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Orin NX, FantoVision, NVIDIA, GigE Vision, Acceleration, Camera Link, ISP, Image Algorithms, Xavier NX, Image Processing, Jetson, Low-Latency Gidel Expands FantoVision with Three Dedicated Edge AI Vision Systems, introducing specialized models for CoaXPress 12, 10GigE Vision, and Camera Link. By pairing NVIDIA Jetson Orin NX with Gidel’s FPGA acceleration, these ruggedized units break the 'Jetson I/O Wall,' ensuring sustained 157 TOPS performance and ultra-low CPU load for mission-critical applications. Gidel Expands FantoVision with Three Dedicated Edge AI Vision Systems After the groundbreaking success of the FantoVision20 and FantoVision40, combining NVIDIA Jetson Orin NX with FPGA AI accelerator technology, Gidel now introduces three dedicated models designed for applications requiring CoaXPress 12, 10GigE Vision, or Camera Link. These systems do not replace existing capabilities. Instead, they offer optimized, interface-specific edge AI vision systems for developers who need maximum bandwidth, determinism, and sustained AI performance at the edge. The promise of Edge AI Vision is the ability to perform real-time inference directly at the point of image capture. The NVIDIA Jetson Orin NX, delivering up to 157 TOPS, provides server-level AI in a compact form factor. Yet as modern imaging systems demand higher aggregate I/O bandwidth through increased resolution, higher frame rates, and simultaneous multi-camera acquisition, developers encounter a persistent bottleneck: "the Jetson I/O Wall". In practice, standard embedded computers struggle to handle raw, high-bandwidth video streams without overwhelming the CPU. The FantoVision family was designed specifically to solve this problem. Understanding the Jetson I/O Wall While the NVIDIA Jetson Orin NX delivers exceptional edge AI vision performance, its ability to ingest data is constrained by standard interfaces. As modern industrial cameras push far beyond 10 Gb/s and transmit millions of packets per second, the Jetson’s ARM CPU must process every interrupt, decode every packet, and rebuild every frame in software. As a result, this creates a hard limit on how much data the Jetson can accept before the CPU becomes saturated. Once this limit, the "I/O Wall", is reached, camera streams begin to drop frames, latency increases, and AI performance collapses due to CPU overload and thermal pressure. Gidel’s architecture eliminates this bottleneck by moving packet handling, protocol termination, and raw data movement into a deterministic FPGA AI accelerator redefining what is possible in modern edge vision. CPU Load Wall: While standard systems saturate the CPU at high bandwidths, FantoVision’s FPGA offload keeps CPU load below 25%, breaking the I/O Wall. The Challenge: When Jetson Chokes on Pixels High-end Machine Vision Solutions, particularly those deploying edge vision AI, require not only compute power but also deterministic, high-bandwidth image acquisition. A typical embedded system forces the CPU to act as the frame grabber. With streams reaching 10 Gb/s, 20 Gb/s, or even 50 Gb/s, the ARM CPU spends most of its time handling interrupts, stripping headers, and copying data. This overhead is the "CPU Tax". The CPU Tax of High-Bandwidth Acquisition In software-based acquisition, every incoming packet triggers a CPU action. When millions of packets per second arrive, CPU utilization can easily reach 100% per core. This leaves little headroom for inference, application logic, PLC messaging, or compression tasks. Multi-camera setups make this problem even worse and often cause dropped frames or instability. Multi Camera Scale: Adding cameras to a standard system causes CPU load to skyrocket. FantoVision maintains a flat, efficient profile regardless of camera count. Latency and Synchronization Problems Industrial imaging requires deterministic latency. Standard operating systems introduce jitter in the millisecond range. This jitter disrupts multi-camera synchronization, breaks high-speed inspection pipelines, and prevents precise timing between image capture, PLCs, and robotic motion. Pipeline Latency: Traditional serial processing on a CPU creates bottlenecks. The FPGA pipeline processes data in parallel, drastically reducing latency. Frame Stability: Under sustained high load, standard systems begin dropping frames as buffers overflow. The FantoVision maintains zero dropped frames stability over time. Crucially, when the CPU is overwhelmed by jitter and interrupts, frames start to drop. This data loss is unacceptable in medical, defense, or high-speed inspection applications. Thermal Implications Consequently, running the CPU at high load drastically increases thermal output. When acquisition overhead consumes the thermal budget, the Jetson cannot sustain its full 157 TOPS performance. Thermal throttling becomes inevitable, so the system never reaches its intended AI capacity in real production conditions. The Solution: Heterogeneous Computing in an Edge AI Vision System Each FantoVision model integrates a Jetson Orin NX with an Intel Arria 10 FPGA, forming a heterogeneous edge AI vision system that splits responsibilities between GPU, CPU, and FPGA. The FPGA is not a passive peripheral but a Smart I/O Engine. Optimized Acquisition Path for Edge AI Vision and Minimal CPU Load The FPGA terminates the camera protocol, manages timing, validates data, and performs DMA transfers directly into Jetson memory that is immediately accessible by the GPU. The CPU is only notified when a complete frame is ready. This eliminates software packet handling and reduces CPU acquisition load to below 25%, even under sustained high throughput. The result is a cooler CPU, more stable system behavior, and significantly more thermal headroom for edge AI vision inference. AI Headroom: High CPU overhead in standard systems effectively reduces available AI performance. FantoVision unlocks the full 157 TOPS for your algorithms. FPGA-Based Pre-Processing & Streaming The FPGA can offload ISP and other pixel-intensive operations, reducing Jetson CPU load and ensuring deterministic real-time performance. Capabilities include: Image Processing: Debayering, Non-Uniformity Correction (NUC), Bad Pixel Replacement (BPR), White Balance, Gamma Correction, HDR correction and dynamic luminance balancing. RTSP Output: The system supports Real-Time Streaming Protocol (RTSP) output, enabling low-latency video streaming to remote clients or control centers, ideal for drones and security applications. Data Optimization: ROI cropping, scaling, and compression including JPEG, Lossless, and Quality+. Gidel's Compression Savings: Gidel’s real-time compression technologies significantly reduce bandwidth and storage requirements, with adjustable JPEG ratios to balance quality and size. The Gidel Architecture Advantage Standard Jetson System vs. Gidel FantoVision Edge AI Vision System Feature Standard Jetson System Gidel FantoVision System Supported Interfaces USB, MIPI, Standard GigE CoaXPress 2. 1, 10GigE Vision, Camera Link (Deca) Processing Resources Jetson only Jetson (AI) + FPGA (ISP and pre-processing) Acquisition CPU Load High, often > 60% per core Low, typically < 25% Streaming CPU-heavy encoding Optimized RTSP Out Latency Consistency OS dependent, variable jitter Hardware-driven, deterministic timing High-Bandwidth Ingestion Limited by standard interfaces and CPU load Optimized for high-speed cameras Swipe horizontally to view all columns → Three New Dedicated Edge AI Vision Systems These models bring interface-specific optimization to developers who require peak performance, reliability, and determinism in their Machine Vision Solutions. The NVIDIA CXP System: FantoVision40-CXP12 Target Applications: High-speed inspection, defense, volumetric capture, drones, sports analytics, medical imaging... Performance: Quad CXP-12 links, delivering up to 50 Gb/s bandwidth. FPGA Integration: Built-in CoaXPress 2. 1 frame grabber tightly integrated with the FPGA. Power: Supports PoCXP (Power over CoaXPress) with up to 13W per cable, simplifying cabling and power in weight-sensitive platforms... Connectivity: Micro-BNC connectors for compact, secure locking in high-vibration environments. Ideal For: ultra-fast area scan sensors and line-scan cameras. The NVIDIA 10GigE Vision System: FantoVision20-GigE Target Applications: Intelligent Traffic Systems (ITS), stadium security, Military, surveillance, UAV imaging, and Aerial Inspection... Performance: Dual independent 10GigE Vision ports (SFP+ or RJ45), supporting up to 20 Gb/s total bandwidth. Offload Engine: Full FPGA-based UDP and GVSP offload engine for parsing, error checking, and resend handling. Stability: Eliminates "interrupt storms" that typically overload embedded CPUs with high-bandwidth Ethernet. Versatility: Supports multi-camera aggregation or single high-bandwidth dual-link cameras. The NVIDIA Camera Link System: FantoVision20-CL Target Applications: Legacy modernization, line scan inspection, medical imaging, military & defense... Compatibility: Supports Base, Medium, Full, and 80-bit Deca Camera Link configurations. Dual Base: Unique Dual Base mode allows for the connection of two independent Camera Link Base cameras. Determinism: Provides the rock-solid triggering accuracy required for long-established production lines. Retrofit: Ideal for replacing large PC-based vision systems with compact, AI-native edge computing. FantoVision Model Specifications Overview Model FantoVision40-CXP12 FantoVision20-GigE FantoVision20-CL Primary Interface CoaXPress 2. 1 (4x CXP-12) 10GigE Vision (2x Ports) Camera Link Max Bandwidth 50 Gb/s 20 Gb/s 6. 8 Gb/s (Deca) Configuration Quad-link CXP-12 Dual port, SFP+ or RJ45 Deca, Full, Medium, Dual Base Power Over Cable Yes, PoCXP No No Connector Type Micro-BNC SFP+ or RJ45 SDR or MDR IP Rating IP51 IP53 IP53 Swipe horizontally to view all columns → Compact, Rugged, and Built for the Extremes The FantoVision family is not just about electronic performance; it is engineered for physical resilience in the harshest environments. Unmatched SWaP-C Optimization Dimensions: 134 x 90 x 60 mm Weight: 750 g By packing workstation-class I/O into a palm-sized chassis, Gidel enables high-performance Edge AI Vision on payload-sensitive platforms like drones and robotics, where every gram counts. Industrial-Grade Ruggedization Unlike standard commercial electronics, the FantoVision systems are built to withstand the rigors of industrial and outdoor deployment: IP Ratings: FantoVision20 (GigE/CL): Rated IP53 (Protected against dust and spraying water). FantoVision40-CXP12: Rated IP51 (Protected against dust and vertically falling drops). Vibration & Shock: The reinforced chassis and compact mechanical design support reliable operation in vibration-prone environments. The system has been tested and deployed on UAV and drone platforms, as well as on moving machinery and AGVs. Industrial Temperature: For extreme climates, the systems support an industrial temperature range, ensuring reliable operation in environments ranging from freezing cold warehouses to sweltering outdoor installations. SWaP Analysis: A comparison of Size, Weight, Power (SWaP), and Performance. FantoVision outperforms traditional Industrial PCs in compactness and ruggedness while maintaining high AI performance. Conclusion: A New Standard for Edge AI Vision Architecture The expanded FantoVision family marks an inflection point for Edge AI Vision and next-generation edge vision AI architectures. It acknowledges that different industries require specialized pipelines and that no single interface can serve all high-end applications. Whether the goal is 50 Gb/s volumetric acquisition on a drone, long-distance 10GigE Vision streaming, or deterministic Camera Link timing, Gidel now provides targeted systems that preserve the Jetson thermal envelope, prevent CPU overload, and unlock sustained 157 TOPS performance in the field. FantoVision breaks the Jetson I/O Wall and enables developers to transform pixels into intelligence without compromise. © 2025 Gidel Ltd. All rights reserved. --- - Published: 2025-11-27 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/meet-gidel-at-vision-and-ai-2025/ - Categories: Events - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Quality+ Compression, FantoVision, Orin NX, GigE Vision, NVIDIA, Camera Link, Acceleration, Image Algorithms, AI, Image Processing, Xavier NX, Jetson, Low-Latency Join us at Gidel Vision & AI 2025 to experience SkyBoost, a breakthrough technology that slashes high-resolution image processing time from 20 seconds to under 0.5 seconds. See live demos of our FantoVision20-GigE, Real-Time HDR, and Edge AI solutions at Pavilion 10, Expo Tel-Aviv. Gidel Vision & AI Show 2025 is approaching, and Gidel will showcase its latest FPGA-based imaging technologies, introducing SkyBoost — a groundbreaking solution for ultra-fast high-resolution image processing — alongside real-time HDR and advanced compression for Vision, AI, industrial automation, and demanding outdoor imaging applications. Key Highlights from Gidel at the Vision and AI Show 2025 FantoVision20-GigE with Real-Time HDR and Compression Demonstrating real-time image enhancement and efficient compression directly from a 10 GigE camera — delivering ultra-low latency, reduced bandwidth, and deterministic performance for AI-driven imaging, industrial automation, UAV, and rugged outdoor systems. SkyBoost – Breakthrough High-Resolution Imaging Technology A revolutionary application that transforms high-resolution image processing from over 20 seconds per image to more than 2 images per second. As a result, SkyBoost dramatically accelerates post-processing workflows, significantly cutting tasks that previously took many hours, sometimes even days, to a fraction of the time. This breakthrough enables faster inspection, mapping, analysis, and decision-making across AI vision, industrial automation, and aerial imaging ecosystems. Accelerated Imaging for Vision, AI & Industrial Automation These technologies are ideal for AI vision systems that require real-time determinism. In addition, they support outdoor imaging, mapping, and photogrammetry. Furthermore, they improve factory automation and inspection with tight processing limits. Moreover, they power edge AI platforms with bandwidth or latency constraints. Finally, they enable multi-camera high-speed applications that need consistent performance. As Vision and AI applications grow in resolution and complexity, Gidel’s FPGA-based approach ensures true real-time edge performance. From HDR to compression to fast post-processing, these technologies deliver consistent and proven results. Visitors at the Vision and AI Show 2025 will see how these capabilities integrate into modern AI, industrial automation, and aerial imaging workflows. Learn More about Gidel’s Edge Imaging Solutions FantoVision20-GigE — Jetson GigE Vision System Real-Time HDR IP Real-Time JPEG Encoder Quality+: Lossless Compression — High-Speed | Gidel Pavilion 10, EXPO — Tel Aviv | Tuesday, Dec 2, 2025 To sign in, visit the official event page: https://www. new-techevents. com/ --- - Published: 2025-11-16 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/meeting-the-challenges-of-high-resolution-outdoor-imaging/ - Categories: Technical Articles - Tags: Frame Grabber, ISP, HDR, illunis, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, High-Resolution Imaging, FantoVision, High-Resolution Sensors, GigE Vision, Drones, Camera Link, UAV, Image Algorithms, Aerial Imaging, Image Processing, Photogrammetry, Jetson, Orin NX, Low-Latency, Acceleration High-resolution outdoor imaging faces critical challenges: extreme lighting, massive data streams, and strict SWaP limits. Discover how the partnership between Gidel and illunis solves these hurdles by combining High-Resolution Global Shutter cameras with FantoVision’s real-time FPGA compression and HDR—reducing mission data by 90% while delivering zero-loss image quality. Meeting the Challenges of High-Resolution Imaging When I think about outdoor imaging, the first challenge that always comes to mind is lighting. Harsh sunlight, deep shadows, glare, and sudden changes in weather can all disrupt image consistency in ways that are difficult to predict. But lighting is only one piece of the puzzle. In high-resolution imaging, the demands quickly multiply vibration from airborne platforms, overwhelming data streams from modern sensors, and the struggle to store or offload that data efficiently all add layers of complexity. Together, these factors make outdoor imaging one of the most technically demanding environments for vision systems. Key Challenges in High-Resolution Imaging Handling extreme and inconsistent lighting conditions. Managing motion and vibration that cause image blur or distortion. Maintaining high optical precision for superior image resolution. Capturing and processing massive high-bandwidth data streams. Delivering real-time results without delays. Recording for extended durations without exhausting storage. Staying within strict SWaP limits (size, weight, and power). Efficiently offloading and processing data post-capture. Each of these hurdles is significant on its own. Combine them, and you get a serious engineering challenge. Why Standard Solutions Fall Short Most off-the-shelf systems—pairing a high-resolution camera with a standard recorder or PC—work fine in controlled environments. But outdoors, their weaknesses quickly show: limited bandwidth, rigid architectures, restricted storage, and bulky, power-hungry designs can’t keep up with modern mission demands. That gap is what motivated us to rethink how imaging systems can work together more efficiently. A Partnership Built for Real-World Demands illunis and Gidel have partnered to deliver a cost-effective, high-performance solution that’s flexible, modular, and ready for high-resolution imaging, high-bandwidth outdoor applications. The synergy between the two technologies is what makes this collaboration powerful. illunis contributes decades of expertise in ultra-high-resolution cameras (51–250 MP) featuring global shutter sensors that eliminate distortion and provide consistent results, even in motion. These cameras are rugged, lightweight, power-efficient, and built for customization—perfect for outdoor deployments. illunis also offers a range of 35 mm to large-format lens solutions and active Canon EF and RF lens mounts with electronic focus, aperture, and stabilization control, including power zoom RF support. Gidel provides FPGA-based imaging platforms that handle real-time acquisition, preprocessing, and compression of massive data streams. With features such as HDR, white balance, dynamic luminance balance and AI-assisted image processing, Gidel’s systems manage bandwidth efficiently and can extend recording capacity by up to 10×. Compact edge computers, like the FantoVision20, are engineered for low-SWaP environments where efficiency is mission-critical. Together, this partnership bridges the gap between raw sensor performance and field-deployable imaging systems. A Real-World Example: Aerial Infrastructure Monitoring Imagine an aerial inspection mission to monitor power lines using the illunis EMC2-103MP Global Shutter CMOS camera paired with the Gidel FantoVision20 edge computer. The Application Demands Resolution & Frame Rate: The EMC2-103MP delivers 103 MP (11,276 × 9,200) images at 7. 0 fps over 10GigE, outputting 12-bit precision. Each frame is approximately 155 MB, generating a continuous 1. 09 GB/s (~8. 7 Gb/s) data stream. Mission Duration: A 3-hour flight at 7. 0 fps would yield nearly 12 TB of uncompressed data. Motion Reliability: The global shutter design ensures distortion-free capture under UAV vibration or turbulence. SWaP Efficiency: With a 440 g body and ~7 W power draw, the EMC2-103MP is lightweight and power-efficient, ideal for airborne payloads. Turnaround Speed: Post-mission data offload must be fast to minimize downtime between flights. How illunis and Gidel Solve It: The Camera – illunis EMC2-103MP Global Shutter CMOS 103 MP global shutter CMOS sensor for ultra-detailed, distortion-free imaging. 3. 2 µm pixel pitch balances resolution and light sensitivity. 10GigE interface for high-speed, long-distance data transmission. 440 g weight and low power (~7 W) ensure easy UAV integration. RF Lens Controller supports aperture, focus, and zoom control for Canon RF lenses. The Processing & Recording – Gidel FantoVision20 FPGA-based frame grabber handles the 1. 09 GB/s stream with zero frame loss. Real-time preprocessing: HDR, white balance, dynamic luminance balance and filtering on-the-fly. On-the-fly 10× compression reduces mission data from ~12 TB to ~1. 2 TB while preserving full inspection quality. High-speed NVMe storage (>1 GB/s sustained) prevents bottlenecks. Compact design (~750g, ~30 W) ideal for UAV or aircraft integration. Optional Jetson Orin AI module enables in-flight defect detection and real-time analytics. Data Flow in Practice Parameter Uncompressed System With Compression (10×) Data Rate ~1. 09 GB/s ~109 MB/s 3-Hour Mission Data Volume ~12 TB ~1. 2 TB Storage Required 12× NVMe drives 1× NVMe drive Offload Time (10 GbE link) ~5 hours ~30 minutes Swipe horizontally to view all columns → The Outcome: Real-Time Processing of >100MP Outdoor Imaging With illunis and Gidel working together, this system transforms a challenging imaging workflow into a streamlined, deployable solution: No dropped frames or image distortion, even under demanding conditions. 10× data reduction enables long-duration missions without constant storage swaps. SWaP goals met, keeping payloads light and power efficient. Post-mission turnaround reduced from hours to under one hour. Instead of wrestling with data overload, teams gain a refined, ready-to-analyze image stream that drives faster, smarter decision-making. Looking Ahead to High-Resolution Imaging Solutions Outdoor imaging no longer means choosing between performance, cost, and practicality. By combining illunis’s high-resolution sensor and lens-control technology with Gidel’s FPGA-based real-time processing and compression platforms, integrators and developers now have a complete toolkit built for real-world field operations. It’s a partnership founded on a shared goal: to make cutting-edge imaging both technically robust and deployable, turning complex missions into achievable, efficient solutions. For more information and High-Resolution Imaging solutions, refer to: www. illunis. com and www. gidel. com. © 2025 illunis, LLC. and © 2025 Gidel Ltd. All rights reserved. --- - Published: 2025-11-10 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/meet-gidel-at-uvid-2025-uav-defense-innovation-exhibition/ - Categories: Events - Tags: Image Enhancements, UVID, JPG Compression, Acquisition, High-Bandwidth, Edge AI Vision, Embedded Vision, Lossless Compression, High-Resolution Imaging, Edge computer, High-Resolution Sensors, FantoVision, Drones, GigE Vision, UAV, Image Algorithms, Aerial Imaging, Image Processing, Photogrammetry, Jetson, Defense, Low-Latency, Quality+ Compression, Frame Grabber, Acceleration, HDR, ISP Join Gidel at UVID 2025 to experience SkyBoost, a breakthrough technology that accelerates high-resolution image processing from 20 seconds to under 0.5 seconds. See live demos of our FantoVision20-GigE, Real-Time HDR, and mission-critical compression solutions for defense and UAV systems at Pavilion 1, Expo Tel-Aviv. Gidel UVID 2025 is approaching, and Gidel will showcase its latest FPGA-based imaging technologies, introducing SkyBoost — a groundbreaking solution for ultra-fast high-resolution image processing — alongside real-time HDR and advanced compression for mission-critical defense and airborne applications. Key Highlights from Gidel at UVID 2025 SkyBoost – Breakthrough High-Resolution Imaging Technology A revolutionary application that transforms high-resolution image processing from over 20 seconds per image to more than 2 images per second. Beyond real-time operation, SkyBoost dramatically accelerates post-processing workflows, reducing imaging tasks that previously took many hours — sometimes even days — to complete. This breakthrough enables faster analysis, mission reporting, and decision-making across defense, intelligence, and aerial imaging domains. FantoVision20-GigE with Real-Time HDR and Compression Demonstrating real-time image enhancement and efficient compression directly from a 10 GigE camera — delivering ultra-low latency and reduced bandwidth for defense, UAV, and rugged imaging systems. Mission-Critical Imaging for Defense & UAV Systems Defense, aerospace & UAV platforms (ISR, EO/IR, tactical imaging) High-speed recording systems with data-link constraints Vision and inspection systems requiring maximum reliability and deterministic performance As the defense and UAV industries continue to evolve, Gidel’s FPGA-based approach ensures real-time performance in demanding airborne missions. From compression to HDR to accelerated post-processing, these technologies deliver consistent, field-proven results. Visitors at Gidel UVID 2025 will see firsthand how these capabilities integrate into modern UAV and intelligence workflows. Learn More about Gidel’s Edge Imaging Solutions FantoVision20-GigE — Jetson GigE Vision System Real-Time HDR IP Real-Time JPEG Encoder Quality+: Lossless Compression — High-Speed | Gidel Pavilion 1, EXPO — Tel-Aviv | Wednesday, Nov 26, 2025 To sign in, visit the official event page: https://www. uvidtech. com/ --- - Published: 2025-11-02 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/low-latency-system-fpga/ - Categories: Technical Articles - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Acceleration, FantoVision, ISP, GigE Vision, GIL, Camera Link, Image Algorithms, Image Processing, Jetson, Low-Latency In modern AI and vision applications, true performance requires more than just speed—it demands a balance of throughput, accuracy, and power efficiency. This article explores how hybrid computing and FPGA acceleration enable processing massive data loads in real time without compromising latency. Understanding Performance in Low Latency Systems In modern vision and AI applications, system performance in low latency systems isn’t only about raw speed. It’s a balance between throughput, latency, accuracy, power efficiency, and time-to-market. Higher resolutions, faster frame rates, and multi-camera configurations significantly increase data loads. However, improving one parameter (such as throughput) can often compromise another, like latency or power. The true challenge lies in boosting overall performance while maintaining responsiveness and stability. For engineers looking to optimize throughput and responsiveness across high-speed vision systems, exploring Gidel’s Frame Grabbers is a great starting point. These FPGA-based solutions form the foundation for many of the concepts discussed below. What Performance Looks Like in Real-World Low Latency Systems In algorithmic trading, computers compete to “buy” and “sell” in microseconds. A system that reacts even one millisecond faster can secure a transaction worth millions, illustrating how performance and latency directly impact real-world outcomes. In algorithmic trading, a millisecond can make or break a deal - a clear reminder that system performance is about much more than speed. The Performance Dilemma in Low Latency Systems Every vision system faces a fundamental engineering trade-off: the more data you process, the harder it becomes to maintain real-time responsiveness. This balance between computational power and latency defines the limits of many imaging systems, from autonomous vehicles to medical devices. Instead of simply adding more processing power, the real breakthrough comes from rethinking the system architecture - designing a pipeline where each component contributes to higher performance without slowing the response time. That’s where hybrid computing comes into play. Hybrid Computing: Low Latency FPGA Acceleration Where It Counts Gidel’s hybrid computing architecture combines FPGA, CPU, GPU, and AI engines, allowing each to do what it does best. Task Type Optimal Processor Key Advantage Random logic, decision branches, control loops CPU / GPU / AI Engine Flexibility for adaptive algorithms Vector or repetitive data processing (histograms, gamma, compression) FPGA No speed limit, ultra-low latency, low power This division enables the system to process more data in parallel, increasing throughput without extending latency. In edge deployments that combine FPGA acceleration with embedded AI, solutions like the Mini Jetson Frame Grabber family deliver full hybrid performance within compact, power-efficient units. Example: Hybrid Histogram Processing A practical example of this hybrid approach is histogram-based image analysis. The FPGA performs fast number-crunching — incrementing pixel counts and building the histogram table. The CPU analyzes the completed table, detecting patterns, peaks, or applying corrections. In a hybrid architecture, the FPGA handles repetitive number-crunching - incrementing pixel data - while the CPU analyzes the resulting histogram. Each processor does what it does best Go Beyond CPU limits with Gidel Imaging Libraries Offload heavy imaging compute to FPGA for faster processing, lower latency, and ultra-efficient real-time vision pipelines using GIL - Gidel Imaging Libraries. One of the strongest demonstrations of this concept is Gidel's HDR IP (High Dynamic Range Correction) image processing. Traditionally, HDR requires multiple exposures, reducing frame rate and increasing latency. Gidel’s FPGA-based processing pipeline eliminates that bottleneck by performing multiple steps simultaneously: Single-frame HDR output Gamma correction, white balance and dynamic luminance balance Optional edge enhancement for better object detection On-FPGA JPEG compression - Explore Gidel’s Image Compression IPs to learn more about real-time FPGA-based compression and data reduction technologies. Processing speeds exceeding 1 gigapixel per second The result is superior image quality at real-time speed - without increasing latency. To see how this works in practice, explore the High Dynamic Range (HDR) IP, which performs single-frame HDR with real-time gamma, white-balance, dynamic luminance balance and enhancement directly on the FPGA. Original Image >100MP - Real-Time Processing Beyond Raw Speed: What Really Defines Performance in Low Latency Systems Reducing Development Cycles True system performance isn’t limited to runtime metrics. Long development and validation loops can slow innovation just as much as inefficient code. Gidel’s modular FPGA environment, combined with tools such as the Camera Simulator, allows engineers to accelerate every stage of development - from design to validation. Running live video streams through FPGA hardware shortens test cycles, reduces rework, and helps teams reach proof-of-concept and production faster. Shorter development time means products reach the market sooner, an often overlooked but critical part of overall performance. Power Efficiency as a Competitive Advantage As data rates and AI workloads grow, power efficiency becomes a defining factor in performance. Unlike traditional CPUs or GPUs, FPGAs execute logic in parallel hardware paths, minimizing wasted cycles and heat generation. This results in lower energy consumption, higher stability, and consistent real-time operation - even under intensive workloads. Power efficiency doesn’t just reduce cost; it ensures reliability and predictability, especially in mission-critical or embedded environments. Scalability for Future Demands Performance requirements rarely stay constant. Systems that can scale - in resolution, frame rate, or algorithmic complexity - maintain their value over time. Gidel’s hybrid architecture allows incremental scaling: new FPGA modules can be integrated alongside existing CPU or GPU systems without redesigning the entire pipeline. This flexibility helps companies keep up with evolving demands in vision, robotics, and AI without compromising latency or stability. The Bottom Line - Faster, Smarter, and Ready for Tomorrow Boosting performance without increasing latency isn’t about adding more power — it’s about using the right power in the right place. By combining FPGA acceleration, modular design, and hybrid computing, Gidel helps engineers achieve measurable improvements across all key metrics: Higher throughput at real-time speeds Deterministic low latency under any workload Power efficiency and scalability Reduced time-to-market Organizations that adopt this architectural approach gain more than performance - they gain agility and long-term competitive advantage. Gidel’s solutions, including Frame Grabbers, FPGA Modules, FantoVision Edge Computers, and Camera Simulators providing the building blocks to create faster, smarter, and more efficient imaging and vision systems. Ready to see what your system can do when latency is no longer the limit? Request a demo or contact our team to explore how Gidel’s FPGA-powered solutions can accelerate your next-generation vision platform. © 2025 Gidel Ltd. All rights reserved. --- - Published: 2025-11-02 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/meet-gidel-at-the-military-aviation-exhibition-fpga-imaging-solutions/ - Categories: Events - Tags: HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, Edge AI Vision, CoaXPress, Embedded Vision, Lossless Compression, Defense, Edge computer, Aviation, FantoVision, Military, Camera Link, Orin NX, Image Algorithms, NVIDIA, Image Processing, Acceleration, Jetson, ISP, Low-Latency, Frame Grabber Join us at the Military & Aviation Exhibition 2025 to explore Gidel Defense Imaging solutions. We will showcase our FantoVision20-CL and FantoVision40-CXP12 systems, delivering ultra-low-latency FPGA acquisition, real-time HDR, and efficient compression for mission-critical airborne and tactical environments. Visit Pavilion 10 on November 10th to see these technologies in action. Gidel Defense Imaging will be highlighted at this year’s Military & Aviation Exhibition, where Gidel will showcase its FantoVision20-CL and FantoVision40-CXP12 Mini Jetson Frame Grabber systems. These platforms deliver ultra-low-latency FPGA acquisition, real-time image enhancement, and efficient compression for high-performance imaging and vision applications used in modern defense, airborne, and tactical environments. Furthermore, the combined FPGA–Jetson approach provides a reliable foundation for mission-ready imaging systems. Gidel Defense Imaging Key Advantages High-speed acquisition interfaces Full Camera Link and CoaXPress-12 support with deterministic FPGA timing & sync, ensuring stable and consistent data capture. Real-time HDR correction This feature delivers superior image quality across bright-to-dark transitions, which is essential for defense missions. On-board real-time JPEG compression This capability reduces bandwidth and storage demands for airborne and rugged recording systems, allowing smoother data handling. SWaP-optimized edge processing Combining FPGA speed with Jetson Orin NX flexibility provides efficient performance for size-constrained platforms. Designed for Mission-Critical Imaging Defense & aerospace platforms (ISR, EO/IR, UAVs) Tactical recording systems with data-link constraints Vision applications requiring maximum reliability and low latency As imaging systems evolve, defense platforms increasingly require deterministic performance, efficient data handling, and stable operation in harsh environments. Gidel Defense Imaging addresses these needs by combining high-bandwidth FPGA acquisition with edge compute acceleration. Consequently, workloads such as UAV reconnaissance, airborne surveillance, and EO/IR mission data capture benefit from predictable latency and robust throughput. In addition, by pairing Jetson computing with FPGA processing, Gidel provides flexible, SWaP-optimized capabilities that enhance real-time intelligence gathering and improve mission efficiency. Therefore, these strengths make Gidel’s solutions a dependable foundation for next-generation airborne, rugged, and tactical imaging systems. Learn More FantoVision20-CL — Jetson Camera Link System https://gidel. com/product/jetson-camera-link/ FantoVision40-CXP12 — Jetson CoaXPress-12 System https://gidel. com/product/jetson-coaxpress/ Real-Time HDR IP https://gidel. com/product/high-dynamic-range-hdr-ip/ Real-Time JPEG Encoder https://gidel. com/product/jpeg-encoder/ Pavilion 10, EXPO — Tel Aviv | Monday, Nov 10 --- - Published: 2025-05-23 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/defense-solutions-exhibition/ - Categories: Events - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Defense, FantoVision, Military, GigE Vision, Quality+ Compression, Camera Link, Acceleration, Image Algorithms, Image Processing, Jetson, Low-Latency Join Gidel at the Defense Solutions Exhibition to experience our live FantoVision-20 demo, featuring real-time 10 GigE acquisition, advanced single-exposure HDR, and Quality+ compression. Discover how Gidel’s Altera-based FPGA platforms deliver the sub-frame latency and deterministic performance required for next-gen defense systems. Defense Solutions Exhibition is where Gidel will present its latest breakthroughs in FPGA imaging and AI vision technology. To begin with, Gidel will be participating in the event to introduce new technological solutions specifically designed for engineering and technology leaders in the defense industry. Additionally, visitors will be able to explore our cutting-edge platforms and learn how real-time FPGA acceleration transforms modern imaging systems. Key Highlights from the Defense Solutions Exhibition At this show, Gidel will showcase a live demo of our latest innovation: Real-Time 10 GigE Vision Acquisition with Advanced HDR & Industry-Leading Compression Real-Time FPGA Imaging for Defense Applications Powered by Gidel’s FantoVision-20 edge computer and built on Altera’s Arria 10 FPGA, this demo highlights several key capabilities, including: Real-time 10 GigE Vision acquisition for high-speed, low-latency imaging. High-quality, single-exposure HDR, enhancing brightness and detail in dark regions while maintaining contrast in bright areas. Gidel’s Quality+ compression IP, delivering an unmatched image-quality-to-compression ratio. Sub-frame latency, enabled by Gidel’s low-footprint and highly efficient FPGA implementation. Most importantly, this demonstration reflects how Gidel’s modular IPs and edge platforms enable deterministic performance, real-time image enhancement, and low-latency processing – ideal for next-generation, AI-driven vision systems used in challenging defense missions. Explore Gidel’s FPGA Vision Solutions Furthermore, Gidel will present its complete frame grabber portfolio, based on Arria 10 and Stratix 10 FPGAs, built to meet the most demanding high-bandwidth imaging challenges. Whether your system requires GigE Vision, Camera Link, or CoaXPress, Gidel’s architecture delivers stable and predictable acquisition that defense developers can rely on. Join us at the Defense Solutions Exhibition and discover how Gidel is shaping the next generation of vision and imaging systems for the defense industry. Moreover, the event offers a valuable opportunity to speak with our specialists and explore how these technologies fit your operational and mission requirements. For additional details on our FPGA imaging portfolio, you may also explore the following solutions: Quality+ Real-Time Compression Real-Time HDR IP Core Gidel Frame Grabbers Portfolio --- - Published: 2025-05-06 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/chipex2025-exhibition/ - Categories: Events - Tags: HDR, Image Enhancements, Acquisition, High-Bandwidth, Edge AI Vision, Embedded Vision, CoaXPress, Quality+ Compression, Edge computer, ChipEX, FantoVision, Acceleration, GigE Vision, Camera Link, Image Algorithms, Image Processing, Jetson, Low-Latency, Frame Grabber Join Gidel at the ChipEX2025 Exhibition to experience our live FantoVision-20 demo, featuring real-time 10 GigE acquisition, advanced single-exposure HDR, and Quality+ compression. Discover how Gidel’s Altera-based FPGA platforms deliver the sub-frame latency and deterministic performance required for next-gen semiconductor and AI vision systems. ChipEX2025 Exhibition is where Gidel will present its latest breakthroughs in FPGA-based imaging and AI vision technologies. Gidel will be participating in ChipEX 2025, Israel’s premier international event for the chip and semiconductor industry. Visit us at the exhibition to experience cutting-edge FPGA-based solutions for high-performance imaging, real-time processing, and embedded AI applications. Live Demo at ChipEX2025 Exhibition At this year’s show, Gidel will showcase a live demo of our latest innovation: Real-Time 10 GigE Vision Acquisition with Advanced HDR & Industry-Leading Compression Powered by Gidel’s FantoVision-20 edge computer and built on Altera’s Arria 10 FPGA, this demo highlights several advanced capabilities: Real-time 10 GigE Vision acquisition for high-speed, low-latency imaging. High-quality, single-exposure HDR, improving brightness in dark regions and preserving contrast in bright areas. Gidel’s Quality+ compression IP, ensuring unmatched image-quality-to-compression efficiency. Sub-frame latency made possible by an extremely efficient FPGA architecture. Why This Matters for the ChipEX2025 Exhibition This demonstration showcases how Gidel’s modular IPs and edge platforms enable deterministic performance, real-time image enhancement, and ultra-low-latency processing—capabilities that are essential for AI-driven vision systems used in challenging semiconductor, defense, and industrial environments. Furthermore, Gidel will present its complete frame grabber portfolio, based on Arria 10 and Stratix 10 FPGAs. These platforms address the most demanding high-bandwidth imaging requirements and are available for GigE Vision, Camera Link, and CoaXPress applications. As a result, developers gain stable, predictable acquisition pipelines needed for modern production and inspection systems. Explore Gidel Solutions Quality+ Real-Time Compression Real-Time HDR IP Core Gidel Frame Grabbers Portfolio Join us at the ChipEX2025 Exhibition and see firsthand how Gidel is shaping the next generation of imaging, processing, and embedded vision systems. --- - Published: 2025-02-23 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/vision-china-2025/ - Categories: Events - Tags: HDR, Image Enhancements, Acquisition, High-Bandwidth, Edge AI Vision, Embedded Vision, CoaXPress, Quality+ Compression, Edge computer, Machine Vision, FantoVision, Image Compression, GigE Vision, NVIDIA, Camera Link, Acceleration, Image Algorithms, Vision China, Image Processing, Jetson, Low-Latency, Frame Grabber Join Gidel at Vision China 2025 in Shanghai to experience the future of machine vision. Visit Hall W5, Booth 5417 to see live demos of our Compact AI Vision Computer, real-time Quality+ compression, and scalable multi-camera systems powered by FPGA technology. Vision China 2025 is one of the most influential exhibitions in the global machine vision industry, and Gidel is proud to participate once again. At the China (Shanghai) Machine Vision Exhibition, we will present our latest modular FPGA-based technologies, designed to deliver high-speed machine vision solutions with real-time processing, low latency, and seamless multi-camera integration. As a result, visitors will gain a clear understanding of how Gidel enables advanced automation, inspection, and quality-control workflows. What You’ll See at Our Vision China 2025 Booth To begin with, Gidel will demonstrate a range of next-generation vision solutions: Compact AI Vision Computer A powerful combination of NVIDIA Jetson and Gidel’s advanced frame-grabber technology, integrating GigE Vision, Camera Link, and CoaXPress to support real-time, AI-ready machine vision applications. Modular Frame Grabbing & Processing System A fully scalable and reconfigurable platform supporting CXP, GigE Vision, Camera Link, and custom protocols for high-speed, real-time image acquisition. Multi-Camera & High-Bandwidth Processing Designed for industrial automation, robotics, and inspection, Gidel technology synchronizes and processes 100+ cameras with unprecedented responsiveness. Real-Time Image Compression Featuring Gidel’s Quality+ Compression, delivering 1:10+ compression ratios while preserving critical vision data integrity for optimized storage and transmission. Advanced Image Enhancement & HDR Gidel’s real-time HDR engine improves contrast and detail, ensuring precise and reliable results for defect detection, metrology, and quality control. High-End Vision Demos Powered by Gidel Real-time CoaXPress-12 acquisition with advanced HDR and high-efficiency compression using Altera Arria 10 270 GX. Advanced Imaging & Vision IP development for real-time testing & validation using Altera Arria 10 480 GX. Furthermore, our engineers will demonstrate how Gidel’s FPGA-based architecture delivers deterministic timing, high bandwidth, and extreme scalability. These benefits make our solutions ideal for manufacturers seeking to improve throughput, minimize latency, and streamline advanced inspection pipelines. Moreover, Vision China 2025 offers an excellent opportunity to learn how Gidel enables future-proof vision applications across robotics, semiconductors, precision manufacturing, and automated inspection environments. Explore Gidel Technologies To learn more before the show, you can explore the following solutions: Quality+ Real-Time Compression Real-Time HDR IP Core Gidel Frame Grabbers External Event Page: Vision China 2025 — Official Website Visit Our Booth — Experience the Future of Machine Vision Shanghai New International Expo Centre (SNIEC) Hall: W5 Booth: 5417 March 26–28, 2025 --- - Published: 2025-02-20 - Modified: 2026-03-03 - URL: https://gidel-old.hostey.co.il/join-us-at-imvc-2025-gidel/ - Categories: Events - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Quality+ Compression, FantoVision, Machine Vision, GigE Vision, Camera Link, Image Algorithms, Image Processing, Jetson, Low-Latency Join Gidel at IMVC 2025 to experience our next-generation vision solutions. Visit Pavilion 10, Booth 7 to see live demos of our AI-Driven Edge Vision Computer, real-time HDR, and Quality+ compression technologies accelerating next-gen inspection pipelines. Join Us at IMVC 2025 – Gidel’s Next-Generation Vision Solutions IMVC 2025 Gidel will highlight our latest advancements in high-performance vision and imaging. We’re excited to present new FPGA-based technologies that accelerate AI, enable real-time edge processing, and support next-generation imaging pipelines. Moreover, visitors will be able to meet our team, see live demonstrations, and explore how these solutions integrate smoothly into AI-driven applications. What You’ll Discover at the Gidel Booth – IMVC 2025 AI-Driven Edge Vision Computer Our compact edge computer, powered by NVIDIA Jetson, integrates GigE Vision, Camera Link, and CoaXPress interfaces. As a result, developers can achieve high-speed acquisition, efficient data handling, and low-latency AI inference—all on a SWaP-optimized platform. Modular Frame Grabbing & Image Processing This flexible solution supports all Gidel Frame Grabbers - CXP, GigE Vision, Camera Link, and custom protocols. Therefore, it is ideal for AI-powered pipelines that require deterministic processing, rapid synchronization, and consistent throughput. Multi-Camera & High-Bandwidth Imaging Gidel’s systems synchronize and process up to 100+ cameras simultaneously. Consequently, the platform is suitable for robotics, inspection, industrial automation, and any setup demanding extreme data rates and minimal latency. Real-Time Image Compression Featuring Quality+ Compression, our solution provides 1:10+ ratios while preserving the original SNR. This allows teams to reduce bandwidth and storage requirements without compromising essential imaging data. Advanced Image Enhancement & HDR Additionally, Gidel’s real-time HDR IP technology enhances contrast and detail, making it ideal for defect detection, measurement, and high-precision quality control. Live Demonstrations at the IMVC 2025 Gidel Booth Real-time CoaXPress12 acquisition with advanced HDR and superior compression using the Altera Arria 10 270 GX FPGA Advanced imaging and vision IP development for real-time testing and validation on Altera Arria 10 480 GX See the Future of Imaging with Gidel Meet our experts, experience hands-on demos, and learn how IMVC 2025 Gidel technologies can optimize your vision and imaging workflows—from AI enhancement to high-speed acquisition. Event Details When: Tuesday, April 1, 2025 — 8:30 AM to 4:00 PM Where: Pavilion 10, Tel Aviv Expo — Main Hall, Booth 7 Event link: IMVC 2025 --- - Published: 2025-01-30 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/gidel-quality-plus-compression-top-innovation-2025/ - Categories: Technical Articles - Tags: Edge AI Vision, Embedded Vision, Quality+ Compression, Machine Vision, Image Compression, Acceleration, CoaXPress, inVISION, Edge computer, GigE Vision, Camera Link, Image Algorithms, Image Processing, Frame Grabber, Image Enhancements, Acquisition, High-Bandwidth Gidel Quality+ compression has been honored as a Top 10 Innovation of 2025 by inVISION Magazine. Discover how this award-winning technology achieves near-lossless quality with sub-frame latency, processing over a gigapixel per second to revolutionize industrial and aerial imaging workflows. Why Gidel Quality+ Compression Stands Out Gidel Quality+ compression is one of the Top 10 Innovations of 2025 selected by inVISION Magazine. This recognition marks an important milestone for Gidel’s imaging technology. It also shows how Quality+ continues to influence modern vision workflows and support high-performance imaging pipelines. Near-Lossless Image Quality with Quality+ Compression The inVISION Top Innovations 2025: Quality+ award highlights the technology’s ability to deliver high compression ratios while preserving original image quality. Quality+ keeps fine details intact even in challenging environments such as industrial inspection, aerial imaging, and long-duration recording. As a result, teams can maintain accuracy without sacrificing performance. High-Speed Throughput for Demanding Vision Workflows The Quality+ engine handles more than a gigapixel per second and still remains under a single frame of latency. This speed allows imaging pipelines to stay responsive, even when processing large image volumes. Developers benefit from smooth acquisition, streaming, and recording without the bottlenecks that traditional software compression often introduces. Modular and Adaptable Compression Gidel’s modular hardware and software ecosystem integrates Gidel Quality+ compression directly into existing imaging systems. Users can tailor Quality+ to fit specific recording or streaming needs, ensuring consistent performance across many applications. These include robotics, defense imaging, industrial inspection, and large-scale deployments. Quality+ also supports long-term system growth, making it ideal for evolving vision requirements. As data rates continue to increase, Quality+ helps developers maintain real-time operation while managing much larger image streams. This capability positions the technology as a future-ready solution and explains its selection for the inVISION Top Innovations 2025: Quality+ award. Explore Gidel Quality+ compression: Quality+: Lossless Compression Alternative | Gidel Read the full inVISION announcement: Real-Time Compression – inVISION NEWS Contact Gidel experts: Contact Us This continued recognition shows how Quality+ empowers imaging teams to achieve reliable results, higher efficiency, and long-term scalability across diverse real-world workflows. --- - Published: 2025-01-13 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/2024-a-year-of-innovation-and-milestones-gidel/ - Categories: Company Updates - Tags: High-Bandwidth, Edge AI Vision, Embedded Vision, Quality+ Compression, Machine Vision, Acceleration, Edge computer, FPGA, FantoVision, Image Algorithms, Image Processing, Jetson, Low-Latency, Frame Grabber, HDR, Image Enhancements, Acquisition Reflecting on a transformative year, Gidel 2024 Milestones highlight our launch of ruggedized edge computing solutions and enhanced modular FPGA technologies. Discover how our global expansion and commitment to 20+ year lifecycle support are shaping the future of mission-critical imaging. 2024: A Year of Innovation and Milestones Gidel 2024 Milestones highlight a year of major technological progress, global expansion, and long-term commitment to reliable FPGA-based imaging solutions. Throughout the year, we introduced new capabilities, strengthened our product lineup, and deepened our collaborations worldwide. The following sections summarize the key developments that shaped this successful year. 1. Enhanced Modular FPGA Technology We introduced advanced modular capabilities, allowing customers to tailor FPGA-based systems to specific application requirements. Additionally, these improvements provided greater flexibility for defense, industrial, and high-performance imaging workflows. 2. Launch of Edge Computing Solutions We expanded our edge-computing line with extra ruggedization and an extended industrial temperature range. As a result, our platforms became even more suitable for drones, outdoor vision systems, and mission-critical, real-time edge deployments. 3. Strengthened Global Presence Our customer base grew across North America, Europe, the Middle East, and Asia. We participated in major exhibitions that featured Gidel’s latest innovations: Embedded World 2024 (Nuremberg), Machine Vision 2024 (Stuttgart), Vision China Shanghai 2024, Military & Aviation 2024 (Tel Aviv), and the Industry 4. 0 Delegation hosted by the Israeli Ministry of Economy and Industry in Italy & Germany. Explore our technology: Frame Grabbers | Quality+ Compression | Real-Time HDR IP 4. Long-Life Production Commitment We continued providing long-life production and more than 20 years of lifecycle support. Consequently, customers benefit from long-term stability, reliability, and uninterrupted availability of our hardware. Vision for 2025 – Building on Gidel 2024 Milestones As we move into the new year, we remain committed to delivering smarter, faster, and more connected solutions. Looking ahead, Gidel 2024 Milestones serve as a strong foundation for continued innovation in FPGA image processing, AI-driven vision, and advanced edge-computing technologies. Together with our partners and clients, we aim to achieve new breakthroughs in 2025. Wishing you all a successful and fulfilling year ahead. — Gidel Team --- - Published: 2024-11-21 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/military-aviation-2024/ - Categories: Events - Tags: Frame Grabber, Acceleration, HDR, Xavier NX, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Drones, FantoVision, UAV, GigE Vision, Defense, Camera Link, Aviation, Image Algorithms, Military, Image Processing, Quality+ Compression, Jetson, Orin NX, Low-Latency, NVIDIA Join us at Gidel Military Aviation 2024 to explore mission-critical imaging solutions. Visit the Eastronics booth at Pavilion 10 to see live demos of our FPGA-powered recording systems, real-time Quality+ compression, and Jetson-integrated frame grabbers designed for defense and aerospace innovation. New Tech Military & Aviation Exhibition 2024 Gidel Military Aviation 2024 marks another opportunity to present our latest real-time imaging technologies to defense, aerospace, and UAV innovators. Come and visit us at the Military & Aviation Exhibition by New Tech Events, where Gidel will demonstrate at the Eastronics booth a series of high-speed, compact, and FPGA-powered solutions designed for mission-critical applications. Gidel Military Aviation 2024 – Key Highlights During the exhibition, visitors will be able to explore several advanced capabilities that improve performance in demanding defense environments. These demonstrations illustrate how Gidel combines FPGA acceleration, Jetson computing, and efficient compression to ensure reliable real-time operation. Image Compression & Quality+ Real-time compression technology that reduces bandwidth and storage while preserving mission-critical imaging details. Learn more: Quality+ Real-Time Compression Recording Systems & Streaming Ultra-low-latency streaming pipelines designed for airborne, rugged, and tactical deployments. Additionally, our architecture ensures deterministic timing for stable recording. Image Enhancements & Detection Real-time FPGA-based enhancement suitable for extreme weather, low visibility, and challenging lighting conditions. Explore related HDR technology: Real-Time HDR IP Jetson + Frame Grabbers + Storage A flexible combination of NVIDIA Jetson with Gidel Frame Grabbers for high-speed Camera Link, CoaXPress, or GigE Vision acquisition. Learn More: Gidel Frame Grabbers | Mini Jetson Frame Grabbers On-The-Fly FPGA Image Processing Low-latency pipelines designed to process data immediately as it arrives, enabling faster intelligence, recognition, and decision-making. Why Gidel Solutions Matter Defense imaging systems must operate reliably in harsh environmental conditions. Therefore, Gidel’s FPGA-based processing, combined with high-speed sensor interfaces, ensures that each component—from acquisition to compression—remains stable, deterministic, and mission-ready. Moreover, our SWaP-efficient edge platforms enable rugged deployment while meeting strict performance requirements for ISR, detection, tracking, and onboard analytics. Event Details When: Thursday, November 28, 2024, 8:30 AM–4:00 PM Where: Pavilion 10, Tel Aviv Expo Hosted at: Eastronics Booth --- - Published: 2024-07-23 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/breast-cancer-screening-device-thermomind-case-study/ - Categories: Technical Articles, Case Studies - Tags: Acceleration, AI, Medical Imaging, Breast Cancer, CoaXPress, Edge computer, FantoVision, Jetson, Image Enhancements, Edge AI Vision, Modular System, Image Compression, Orin NX, NVIDIA ThermoMind introduces Vision One, a radiation-free breast cancer screening device powered by Gidel’s FantoVision40. By combining multimodal sensing with real-time FPGA acceleration, this solution delivers safe, high-resolution early detection without invasive procedures or ionizing radiation. A New Approach to Early Breast Cancer Detection The ThermoMind Vision One breast cancer screening device uses multimodal sensing and advanced AI to track digital biomarkers for safe, radiation-free detection. The system relies on Gidel’s FantoVision edge computer to acquire high-speed, high-resolution image data in real time. Breast cancer is a major global health concern, and early detection dramatically improves outcomes. Standard imaging tools such as mammography, ultrasound, and MRI involve challenges such as ionizing radiation, false positives, or high operational costs. ThermoMind Breast Cancer Screening Device and Multimodal Imaging ThermoMind developed a supplementary technology that combines multimodal sensors with advanced AI to identify metabolic abnormalities linked to cancer. The device captures over 300 data points using infrared and depth-sensing technology to create a digital skin model and monitor vascular and metabolic patterns. The screening takes only four minutes and requires no radiation, no physical contact, and no invasive procedures. Unlike mammography or ultrasound, which focus on anatomical structures, ThermoMind detects physiological changes such as vascular flow and thermal anomalies. Non-Invasive, No-Radiation Breast Cancer Screening Approach ThermoMind’s Vision One is designed for comfort and privacy. The chest-height imaging ring houses infrared and depth sensors that capture a 180-degree view of the chest and axillae. Real-time AI algorithms analyze these thermal and depth images and provide insights such as vascular mapping and metabolic irregularities. The system integrates LWIR, NIR, and 3D imaging technologies. It includes user-friendly software for technicians and supports remote consultations with oncologists and radiologists. FantoVision Inside: High-Bandwidth Image Acquisition and Processing ThermoMind partnered with Gidel to address the challenge of capturing multiple high-resolution data streams at once. “We needed to acquire many high-resolution sensor streams simultaneously and process them in real time,” says Najeeb Ayoub, CEO of ThermoMind. Gidel’s FantoVision40 was the ideal choice. This compact embedded vision computer combines an NVIDIA Jetson module with Gidel’s FPGA frame grabbers supporting high-bandwidth interfaces such as 10GigE Vision and CoaXPress 12. Its footprint is only 134 × 90 × 60 mm, and the weight is 750 g, making it easy to integrate into medical systems with tight space constraints. Because Vision One relies on CoaXPress cameras, the FantoVision40 delivers up to 40 Gb/s of imaging throughput. Fifteen sensors capture high-resolution images at 30–60 fps, and Gidel’s real-time compression prevents bottlenecks by processing data during acquisition. “The real-time compression was essential. It let us analyze the data during acquisition rather than after it,” Ayoub explains. Making Next-Generation Breast Cancer Screening Accessible The breast cancer screening device is easier and more affordable to deploy than traditional imaging systems. It requires only a climate-controlled room and power supply, making it suitable for emerging regions with limited medical infrastructure. ThermoMind is conducting a global multi-center clinical trial in collaboration with major institutions such as the University of Heidelberg, MD Anderson Cancer Center, and Assuta Medical Centers. The study evaluates thermal video streams combined with AI algorithms for early-stage breast cancer detection. The goal is to validate a safe, cost-effective imaging modality suitable for women of all ages and breast densities, enabling earlier detection and improved patient monitoring. Want to understand how ThermoMind’s workflow uses FantoVision for high-bandwidth imaging? Watch the overview video below. https://www. youtube. com/watch? v=wv3dPIv_4Cg&t=6s --- - Published: 2024-04-08 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/gidel-embedded-vision-platform-embedded-world-2024/ - Categories: Events - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Machine Vision, FantoVision, Orin NX, GigE Vision, NVIDIA, Camera Link, Acceleration, Image Algorithms, Xavier NX, Image Processing, Jetson, Low-Latency Join us at Embedded World 2024 in Nuremberg to experience the Gidel Embedded Vision Platform. Visit booth 2-559 to see how our FantoVision edge computers deliver high-speed, low-latency imaging with real-time HDR and Quality+ compression on compact, power-efficient systems. At the event in Nuremberg (April 9–11, 2024), Gidel will demonstrate the Gidel Embedded Vision Platform to show how high-resolution and high-speed imaging can run on compact and low-power embedded systems. This includes single-camera, multi-camera, and 10GigE setups that maintain full throughput with no frame loss. Gidel, a leader in high-bandwidth imaging and FPGA processing, will present its modular platform built on FantoVision edge computers and Gidel’s image-processing and compression libraries. Together, they deliver real-time processing directly on the FPGA. FantoVision in the Gidel Embedded Vision Platform FantoVision edge computers let developers build embedded vision systems on NVIDIA Jetson SoMs. The hardware supports high-resolution and high-speed cameras with interfaces such as dual 10GigE, 4× PoCXP-12, and Camera Link. You can choose different FPGA devices for pre-processing and several Jetson modules, including Xavier NX and Orin NX 16 GB. For small embedded systems, visit the Mini Jetson Frame Grabber. FPGA Processing and Developer Tools The platform offloads image correction, HDR, and compression to the FPGA. This reduces CPU load and gives the Jetson module more room for AI tasks. Processing runs in real time with almost no added latency. In addition, Gidel provides a comprehensive Imaging and Vision SDK that allows FPGA developers to implement their own custom algorithms directly on the FPGA. Learn more on the ProcVision page. HDR and Compression in the Gidel Embedded Vision Platform Visitors will see Gidel’s new HDR engine. It delivers high precision at high speed and handles difficult outdoor or high-contrast scenes. Gidel will also demo Quality+ compression. It reaches ratios of 1:10 and higher while maintaining excellent SNR and image quality. This removes the usual trade-off between compression rate and visual clarity. The Gidel Embedded Vision Platform delivers strong performance in SWaP-limited environments. Engineers working on aerial imaging, mapping, and mobile vision systems should visit Gidel at booth 2-559 to see the real-time demo. Come and visit us at booth 2-559 to see the real-time demo. Learn more about the show here: Embedded World. --- - Published: 2023-09-21 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/webinar-overcoming-bandwidth-limitations-when-imaging-on-the-edge/ - Categories: Technical Articles, Webinars & Tech Talks - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Machine Vision, FantoVision, Imaging, GigE Vision, NVIDIA, Camera Link, Acceleration, Image Algorithms, Image Processing, Jetson, Low-Latency Join Reuven Weintraub, Founder and CTO of Gidel, as he demonstrates how to overcome high-bandwidth imaging challenges at the edge. In this presentation, he showcases Gidel’s integrated solution featuring advanced frame grabber technology, FantoVision edge computers, and Quality+ lossless compression to achieve efficient, real-time performance. Edge Imaging Bandwidth Webinar Is it possible to perform high-resolution, high-frame rate imaging on an embedded edge computer? The answer is yes. The webinar explains how to sustain high data rates at the edge while preserving deterministic behavior, image quality, and system stability. For related products, visit the FantoVision Edge Computers page. For more videos, visit our YouTube Channel. --- - Published: 2023-06-26 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/gidel-camsim-camera-simulator-now-supports-cxp-12-interface/ - Categories: Press release - Tags: Camera Simulator, CXP-12, CoaXPress, Camera Simulation, Validation, Acceleration Upgrade your testing capabilities with Gidel’s updated CamSim platform, now featuring full CXP-12 support. This enhancement doubles CoaXPress speeds from CXP-6, enabling developers to validate high-bandwidth imaging systems with generated video streams and test patterns using the intuitive CamSim-X simulator. The updated camera simulator with CXP-12 support is now available on Gidel’s CamSim platform. This upgrade doubles the CoaXPress speed from CXP-6 to CXP-12, allowing developers to test systems with higher image acquisition bandwidth. The CamSim-X camera simulator generates CoaXPress video streams and test patterns for validating frame grabbers and imaging systems. The kit includes the CamSim hardware and an intuitive GUI and API for fast development, testing, and integration. --- - Published: 2023-05-31 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/fantevision-edge-computer-vision-award-2023/ - Categories: Press release - Tags: Edge AI Vision, Embedded Vision, Machine Vision, Imaging, Orin NX, NVIDIA, CoaXPress, Acceleration, Edge computer, Xavier NX, FantoVision, VSD, GigE Vision, Camera Link, Jetson, Low-Latency, Frame Grabber, Acquisition, High-Bandwidth Innovative edge computer vision takes center stage as Gidel’s FantoVision platform receives the Silver Award from Vision Systems Design. Recognized for merging high-bandwidth FPGA frame grabbing with NVIDIA Jetson processing, FantoVision delivers up to 40 Gb/s throughput for demanding industrial, robotic, and autonomous applications. Innovative edge computer vision combines high-bandwidth camera interfaces and FPGA-based frame grabbing with NVIDIA Jetson processing and AI capabilities. The FantoVision Vision Award highlights Gidel’s continued innovation in industrial imaging. On May 22, 2023, during the Automate show in Detroit, MI, Gidel received a Silver Award from the Vision Systems Design Innovators Awards program. The jury recognized the FantoVision Edge Computer platform for merging advanced frame-grabbing technology with NVIDIA Jetson Xavier and Orin NX™ 16GB modules. This blend of technologies enables reliable and efficient solutions for modern vision systems. For more information about the event, you can visit the Automate Show. Unique Offering Each year, the Vision Systems Design Innovators Awards highlight technologies that help shape the future of vision applications. In addition, the jury includes specialists from established system integrators and leading end-user companies. Linda Wilson, Editor-in-Chief of Vision Systems Design magazine, noted: “We congratulate Gidel for their score in the 2023 Innovators Award program. ” She added that the team should be very proud of this achievement. FantoVision: Ready-to-Use Computer for Vision on the Edge FantoVision systems help developers build advanced applications that require compact size, low power consumption, and consistent performance. The platform combines high-bandwidth camera interfaces with Gidel’s FPGA-based processing technology. As a result, it offers real-time acquisition speeds of up to 40 Gb/s. This capability makes it ideal for high-resolution, high-speed, low-latency, and multi-camera workflows. The FantoVision family supports interfaces such as 10GigE, CoaXPress-12, and Camera Link. These options allow integrators to connect many industrial cameras with ease. Thanks to this flexibility, the systems can be used in inspection, robotics, autonomous navigation, and other demanding fields where edge computer vision offers clear benefits. Ultimately, recognition from Vision Systems Design reinforces FantoVision’s role as a versatile platform that simplifies development while maintaining industrial-grade performance. The award also highlights Gidel’s ongoing commitment to delivering reliable solutions for real-world imaging challenges. --- - Published: 2023-02-10 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/high-speed-image-acquisition/ - Categories: Technical Articles - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Embedded Vision, Lossless Compression, Machine Vision, Edge computer, Imaging, FantoVision, Orin NX, GigE Vision, NVIDIA, Camera Link, Acceleration, Image Algorithms, Xavier NX, Image Processing, Jetson, Low-Latency Achieving reliable high-speed image Acquisition now requires handling massive data loads, often demanding Gigapixel Processing per second in Vision Systems. This white paper explores the architectural challenges of sustaining these rates and outlines how FPGA-based edge solutions like FantoVision eliminate bottlenecks to ensure real-time performance. Gigapixel image processing is becoming a central requirement in modern vision systems. New generations of high-resolution and high-speed cameras now deliver several gigapixels per second. These massive image acquisition rates place significant pressure on processing pipelines, especially when real-time results or low-latency responses are required. Gigapixel Image Acquisition in Modern Vision Systems As camera technology evolves, image acquisition speed continues to rise. Moreover, interface standards such as 10GigE, CoaXPress, and Camera Link enable cameras to transmit more data than ever before. Systems must therefore handle continuous gigapixel flows while also supporting image correction, compression, and application-specific processing. Traditional CPU and GPU architectures often fall short because they were not designed for sustained high-bandwidth acquisition at these extreme rates. Architectural Challenges and Approaches for High-Speed Imaging Developers can explore solutions that combine efficient acquisition paths with edge computing techniques. For example, FPGA-based systems reduce bottlenecks by streaming data directly from the sensor into dedicated processing logic. This approach minimizes latency and frees CPU and GPU resources for higher-level tasks. To see how these methods apply in practice, you can review Gidel’s FantoVision Edge Computers, which integrate high-bandwidth camera interfaces with embedded computing modules. In addition, many imaging teams now rely on bandwidth-aware design strategies. These include preprocessing near the sensor, intelligent buffering, and selective compression. Approaches like these make high-speed image acquisition more feasible, even on systems with size, weight, and power constraints. For further background on vision trends and interface standards, visit the A3 Vision site. Understanding Bandwidth and Image Acquisition Limits This white paper provides a clear overview of the challenges created by multi-gigapixel data rates and outlines the architectural considerations required to ensure reliable performance. It also explains how developers can evaluate their acquisition bandwidth paths and identify bottlenecks early in the design process. These insights help developers better understand the limits and opportunities created by gigapixel image acquisition speeds. --- - Published: 2023-01-29 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/embedded-vision-system-fantovision20-40/ - Categories: Technical Articles, Press release - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Machine Vision, FantoVision, Imaging, GigE Vision, Orin NX, Camera Link, NVIDIA, Image Algorithms, Acceleration, Image Processing, Xavier NX, Jetson, Low-Latency Gidel integrates the NVIDIA Jetson Orin NX 16GB into the FantoVision series, creating a breakthrough heterogeneous embedded vision system. With 157 TOPS of AI performance and FPGA-based acceleration, this platform sustains over 1 gigapixel per second, redefining real-time high-bandwidth imaging at the edge. Redefining Edge Imaging with Breakthrough Heterogeneous Computing Big news for vision, imaging, and AI applications. Gidel introduces the first heterogeneous computer that combines NVIDIA Jetson Orin NX with an FPGA-based acquisition and acceleration engine, creating an exceptionally powerful embedded vision system for real-time, high-bandwidth imaging at the edge. The new configuration brings the NVIDIA Jetson Orin NX 16GB module into the FantoVision20 and FantoVision40 product line. This combination provides up to 157 sparse TOPS, delivering a five-fold performance increase over the previous Jetson Xavier NX generation. As a result, developers gain industry-leading AI throughput, deterministic latency, and real-time image processing capabilities. When paired with Gidel’s FPGA-based frame grabbing, pre-processing, and compression, the platform sustains more than 1 gigapixel per second of imaging throughput. FantoVision: A Complete Embedded Vision System for High-Speed Imaging The FantoVision series provides a ready-to-use environment for advanced imaging and AI applications. Each system integrates: NVIDIA Jetson Orin NX 16GB Gidel’s FPGA image acquisition and acceleration engine High-bandwidth camera connectivity Real-time compression and enhancement options Compact, industrial-grade mechanics SWaP-optimized design: 134 × 90 × 60 mm, 750 g Therefore, developers can deploy real-time and high-resolution vision systems with shorter integration cycles and improved reliability. Multi-Interface Flexibility for Demanding Vision Applications The FantoVision20 integrates Camera Link and GigE Vision within the same compact edge computer. Consequently, system designers gain flexibility when selecting the right camera interface for their industrial vision pipeline. The FantoVision40 model supports high-bandwidth imaging through a combination of 10GigE Vision and CoaXPress 12 connectivity. This allows developers to run high-speed or multi-camera setups with consistent, deterministic performance. Together, the FantoVision20 and FantoVision40 platforms deliver versatile, multi-interface embedded vision systems that address a wide range of machine vision requirements Jetson Orin NX + FPGA Acceleration Enables Real-Time AI Vision The NVIDIA Jetson Orin NX module offers a next-generation CPU, GPU and FPGA architecture with 157 TOPS of AI performance. It runs deep-learning models at the edge with outstanding efficiency. In addition, the integrated FPGA performs: High-speed frame grabbing and ROI extraction Real-time image enhancements such as HDR Compression (JPEG, lossless, H. 264/H. 265, Quality+) This heterogeneous architecture transforms FantoVision into a high-performance embedded vision system capable of sustaining over 1 gigapixel per second through the NVIDIA JetPack SDK. A Turn-Key Platform for Embedded AI Vision Systems “The combination of Gidel’s FPGA and image-processing expertise with NVIDIA accelerated computing breaks another barrier between AI and machine vision,” said Reuven Weintraub, Founder and CTO of Gidel. This heterogeneous architecture, which brings FPGA and GPU processing together in one embedded vision system, gives engineers a turn-key platform for running AI workloads alongside real-time, high-speed imaging. Gidel will showcase the Jetson Orin NX-enabled FantoVision systems at Embedded World, held in Nuremberg, Germany, from March 14–16, 2023. --- - Published: 2022-12-27 - Modified: 2026-03-13 - URL: https://gidel-old.hostey.co.il/enabling-high-speed-aoi-machines-for-sorting-applications/ - Categories: Case Studies - Tags: JPG Compression, Acquisition, High-Bandwidth, Embedded Vision, Machine Vision, Imaging, Lossless Compression, NVIDIA, FantoVision, Acceleration, Camera Link, AOI, Image Algorithms, Image Processing, Jetson, Low-Latency, Frame Grabber, HDR, Image Enhancements Discover how a leading mail sorting manufacturer leveraged Gidel’s FPGA-based vision infrastructure to optimize high-speed AOI Machines. By integrating the HawkEye-CL frame grabber, this solution achieves the deterministic latency and multi-camera synchronization required for accurate, continuous automated inspection. Overview AOI machines are a fundamental element in modern mail sorting environments, where envelopes and parcels move continuously and inspection must keep pace with the mechanical speed of the line. In high-speed AOI machines, visual verification, identification, and routing decisions must happen within a fixed timing window. Otherwise, even small delays or variability can directly affect sorting accuracy and operational efficiency. For this reason, a leading mail sorting equipment manufacturer integrated Gidel’s FPGA-based vision infrastructure into its AOI machines. This integration enables a hardware-driven inspection pipeline that combines high-speed operation with reliable and accurate inspection results in production. As a result, the system operates on a continuous sorting line, where items pass through the inspection zone without stopping or buffering. At the same time, multiple cameras capture image data simultaneously, covering different regions of each envelope. The system then delivers inspection results in time to trigger downstream sorting actions. This operational model places strict demands on synchronization, latency consistency, and sustained throughput. The Challenge of High-Speed AOI Machines Designing AOI machines for high-speed mail sorting presents several interconnected challenges that grow as throughput and camera count increase. The inspection system must process images from multiple cameras in parallel and operate continuously without performance degradation. At the same time, it must deliver results that align precisely with mechanical actuators and routing logic. If the system relies too heavily on host CPU load or operating system scheduling, timing jitter can appear. Consequently, inspection reliability and sorting accuracy can degrade over time. To avoid this risk, the vision architecture must prioritize predictable behavior under sustained load. High-speed continuous motion: The system must inspect items on the fly without slowing the sorting line. Multi-camera inspection: Multiple cameras must cover different inspection regions in a single pass. Deterministic timing: The system must deliver inspection and routing decisions within a fixed latency budget. Continuous operation: AOI machines must run reliably for long periods under sustained throughput. Vision Infrastructure Inside the AOI Machines To address these challenges, the AOI machines rely on a hardware-centric vision architecture. In this design, FPGA-based frame grabbers handle image acquisition and preprocessing directly. This approach significantly reduces dependence on host CPU resources and operating system scheduling. As a result, the system maintains consistent acquisition timing and stable data delivery even during peak throughput. At the same time, the architecture preserves inspection accuracy under continuous operation. The customer used the HawkEye-CL Camera Link frame grabber as the core acquisition platform for multiple Camera Link cameras installed in the AOI machines. By anchoring acquisition on the FPGA, the system delivers deterministic frame timing, reliable camera synchronization, and stable data transfer into the processing pipeline, providing clean, consistent images that maximize the accuracy of downstream OCR and barcode reading algorithms. In addition, this implementation reflects Gidel’s broader portfolio of FPGA Frame Grabbers, which target high-bandwidth, low-latency, multi-camera AOI applications where predictable behavior and inspection quality are equally important. What the Frame Grabber Enables in AOI Machines At the system level, the frame grabber serves as both a data capture device and a timing anchor for the inspection process. By performing acquisition and preprocessing close to the cameras, the AOI machines maintain consistent behavior regardless of downstream processing load. Deterministic multi-camera image acquisition FPGA-based preprocessing close to the sensor Stable latency under sustained inspection load Reliable synchronization across inspection zones Managing Data Volume with FPGA-Based Compression High-speed AOI machines generate large volumes of image data, especially during continuous multi-camera operation. Without data reduction, bandwidth and storage can quickly become system bottlenecks. To prevent this, the OEM leveraged FPGA-based image compression directly on the frame grabber. This approach reduces downstream data rates while preserving image quality required for inspection, verification, and classification tasks. As a result, the system maintains predictable behavior even at high line speeds. Embedded Processing with Mini Jetson Frame Grabber Systems In AOI machine designs that require compact, embedded processing close to the inspection point, the architecture aligns naturally with Gidel’s Mini Jetson Frame Grabber Systems. These platforms combine FPGA-based image acquisition with NVIDIA Jetson processing. Consequently, OEMs can integrate inspection logic, AI inference, recording, and control applications in a single platform. At the same time, the system preserves a deterministic hardware foundation that supports both speed and accuracy. Operational Impact on High-Speed AOI Machines By integrating FPGA-based vision infrastructure into the AOI machines, the OEM achieved stable throughput during continuous high-speed operation. The system also delivers predictable inspection latency that supports accurate routing decisions. In addition, FPGA offload reduces sensitivity to CPU load and operating system variability. Together, these improvements translate into higher system reliability and smoother long-term operation on the sorting line. Stable throughput under continuous operation Consistent inspection latency for accurate sorting Reduced CPU load through FPGA offload Improved operational stability and inspection reliability Conclusion This case study demonstrates how Gidel’s technology enables high-speed AOI machines while maintaining reliable, real-time, and accurate inspection. By anchoring the vision pipeline on deterministic FPGA-based acquisition and preprocessing, and by integrating frame grabbers, compression technologies, and embedded vision platforms, the system achieves the combination of speed, accuracy, and long-term stability required in demanding mail sorting environments. --- - Published: 2022-10-19 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/compressing-image-data-not-image-quality/ - Categories: Technical Articles - Tags: Acceleration, compression, Lossless Compression, FantoVision, Frame Grabber, Acquisition, High-Bandwidth, High-Resolution Sensors, Quality+ Compression, Image Compression, infiniVision As modern sensors drive data rates to gigapixel levels, standard codecs often sacrifice detail for bandwidth. This article explores how Gidel Quality+ technology solves this trade-off by delivering high quality image compression directly on the FPGA, enabling real-time processing without compromising image quality. High quality image compression is becoming essential as today’s cameras deliver higher resolutions and higher frame rates, while edge-based systems often operate under strict bandwidth limits. As a result, compression has become a key requirement for advanced image processing. The challenge is clear: how can developers reduce data throughput without jeopardizing inspection accuracy or overall image quality? Growth of High-Resolution Sensors A major trend in the machine vision industry has been the rise of new-generation CMOS sensors that deliver high-resolution images at high frame rates. In earlier inspection systems, cameras below one megapixel were standard, and even five megapixels was once considered a high resolution for industrial applications. Today, 12-, 16-, 20-, or 25-megapixel sensors—such as Sony’s IMX54x family—are common across the industry. You can also find cameras with resolutions above 100 megapixels for advanced vision tasks. Rising Bandwidth Requirements Higher resolutions and faster frame rates naturally require higher interface bandwidth. This is why interfaces such as USB3 Vision, 5GigE, 10GigE, CoaXPress, and Camera Link have expanded rapidly in recent years. These standards deliver the bandwidth required for demanding machine vision applications. Impact on Host Systems As image sizes grow, host computers and processing software must handle enormous data volumes. Traditionally, machine vision systems were stand-alone stations using powerful PCs to process everything locally. Today, vision is increasingly deployed in mobile and outdoor applications that rely on embedded computers and network connectivity for cloud or edge computing. Even when sensors and interfaces manage the raw image flow efficiently, the host still faces significant bandwidth pressure. This makes efficient compression essential. Trade-Offs of Compression Lossless compression algorithms preserve the original image but typically achieve only about a 2:1 compression ratio. This is often insufficient for high-resolution or high-frame-rate applications. Developers face a difficult trade-off: prioritize compression ratio or maintain image quality. Algorithms such as MPEG can reduce image volume by factors of ten and beyond. However, they introduce visible degradation, especially around object edges. While this may be acceptable in consumer video or simple archival use, precision imaging tasks can suffer from even small quality losses. Edge artifacts, noise amplification, and fine-detail loss may all degrade final inspection or analysis results. Generic video codecs are also designed for YUV 4:2:2 or 4:2:0 or RGB movies. They reduce color resolution by design. They also assume that high-frequency noise is acceptable—or even desirable—to enhance perceived sharpness. Many of today’s industrial applications require clean edges, reliable zooming, and stable fine-detail reconstruction. In such cases, high-frequency noise becomes a serious limitation. Gidel’s Approach to High-Quality Compression Gidel, an Israeli company specializing in FPGA development for vision applications, has addressed this challenge for more than 25 years. The company patented Gidel Imaging, a software tool that enhanced compressed images by estimating DCT values before quantization to reduce high-frequency noise during zooming. With its current Quality+ technology, Gidel eliminates or significantly reduces this noise at the source, supporting high quality image compression in demanding applications. Today, Gidel introduces Gidel Quality+ Compression, developed to meet the needs of modern imaging systems. Quality+ provides high compression ratios while maintaining the image quality required for inspection. It can process more than one gigapixel per second per camera in real time on an FPGA with low power consumption, making it ideal for embedded computing. Image Compression at the Acquisition Stage Quality+ Compression supports multi-camera vision systems at full line speed. It runs on FPGAs integrated into Gidel’s high-performance frame grabbers and FantoVision embedded computers. System engineers can also build custom acquisition devices using Gidel’s FPGA modules. Performing compression at the earliest acquisition stage reduces the load on CPU and GPU resources. It prevents bottlenecks between the frame grabber and the host processor and reduces the amount of data that must be processed, stored, or uploaded in edge-based systems. Quality+ uses minimal FPGA resources, enabling Gidel’s InfiniVision platform to grab and compress ten or more cameras running at one gigapixel per second each in real time. This supports high-speed and high-resolution imaging in systems with strict SWaP constraints. Balancing Compression Ratio and Image Quality To meet today’s high-resolution and high-speed imaging requirements, compression algorithms must deliver high ratios while preserving the quality required for inspection. Each application defines image quality differently, so the optimal balance requires a flexible and customizable approach. (This article was published in German in Inspect magazine. ) --- - Published: 2022-03-28 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/fpga-wireless-research/ - Categories: Case Studies, Press release - Tags: Low-Latency, FPGA Accelerator, TU Berlin, research Discover how TU Berlin utilizes Gidel technology in their latest FPGA wireless research to enable real-time Massive MIMO processing. This project demonstrates how Gidel’s FPGA Accelerator Cards accelerate 5G and 6G innovation by delivering the deterministic performance and extremely low latency required for next-generation communication systems. This FPGA wireless research project from TU Berlin shows how Gidel’s FPGA technology enables real-time Massive MIMO processing for advanced wireless communication. As a result, researchers can accelerate 5G and 6G innovation with deterministic performance and extremely low latency. This FPGA wireless research highlights the importance of real-time processing in next-generation communication systems. As a result, researchers can accelerate 5G and 6G innovation with deterministic performance and extremely low latency. Learn more about Gidel FPGA Accelerator Cards. About the TU Berlin EECS Department: TU Berlin EECS. Advancing FPGA-Based Wireless Research for Massive MIMO As 5G continues to expand, researchers are exploring ways to deliver higher bandwidth efficiency. With the rapid growth of IoT devices and autonomous systems, networks must exchange data with many terminals in real time. Consequently, the demand for new wireless architectures is increasing. Massive MIMO is one of the leading technologies addressing this need. It uses large antenna arrays that communicate with multiple users simultaneously. SDMA (Space Division Multiple Access) analyzes the unique characteristics of each terminal, optimizing the downlink and ensuring efficient use of available radio resources. Real-Time Challenges in Next-Generation Wireless Systems The main obstacle in Massive MIMO is the requirement for extremely fast, deterministic processing. Because every antenna interacts with every terminal, complex encoding and decoding must happen immediately. However, mobile users constantly move, which means the system must update calculations continuously. FPGAs are ideal for this task due to their predictable timing, parallelism, and very low latency. How TU Berlin Advances FPGA Wireless Research with Gidel Technology The research team led by Prof. Giuseppe Caire at TU Berlin investigates new models for 5G and 6G communication. Their experimental system validates advanced beamforming and real-time wireless processing concepts. Furthermore, the team selected Gidel FPGA hardware—recommended by Intel—to ensure high throughput and precise timing. Real-Time Processing for Wireless FPGA Research The prototype demonstrates that a single Gidel FPGA board can communicate with eight terminals at once, often with fewer radio resources than a traditional base station needs for one user. All antenna streams pass through a single FPGA platform, which connects to RF front-ends and network infrastructure using multi-gigabit transceivers and PCIe. Additionally, Intel Arria 10 FPGAs were chosen for their floating-point performance and exceptional data bandwidth. Scaling Wireless Infrastructure Efficiently Massive MIMO systems depend on beamforming to reduce interference and improve link quality. Adding antennas improves accuracy. For example, TU Berlin’s prototype—designed by Dr. -Ing. Andreas Benzin—uses 64 antennas driven by a single Gidel FPGA board. In commercial designs, one Gidel board could support up to 192 antennas. Moreover, multiple boards can be added to scale the platform further. This work is an important milestone in ongoing FPGA wireless research focused on scaling antenna arrays and improving spectral efficiency. Long-Term Engineering Partnership Gidel has supported the TU Berlin research team for more than 15 years. “It all started in 2005,” notes Dr. -Ing. Andreas Kortke. “We were able to focus on our algorithms from day one instead of wasting time building drivers or host interfaces. ” In addition, upgrading to newer Gidel platforms remained simple thanks to consistent hardware architecture and a stable API across generations. Enabling the Future of Wireless Connectivity As IoT, autonomous vehicles, and edge computing continue to evolve, the demand for fast and reliable wireless systems will grow. Gidel’s FPGA technology helps meet these requirements by providing high throughput, deterministic real-time processing, and a scalable platform for advanced communication research. As Gidel CEO Reuven Weintraub explains: “This application demonstrates the potential of our FPGA technology whenever high throughput and real-time processing are required. ” Download chart (JPG) --- - Published: 2021-07-21 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/embedded-computer-vision-fantovision-20/ - Categories: Press release - Tags: Acquisition, High-Bandwidth, Edge AI Vision, Embedded Vision, Machine Vision, Imaging, Lossless Compression, NVIDIA, Edge computer, Acceleration, FantoVision, GigE Vision, Camera Link, Image Processing, Jetson, Low-Latency, Frame Grabber, JPG Compression Discover the FantoVision 20, an ultra-compact embedded computer vision solution delivering real-time processing at up to 20 Gb/s. Combining NVIDIA Jetson computing with Altera Arria 10 FPGA acceleration, this SWaP-optimized platform empowers high-speed industrial, mobile, and outdoor imaging applications. The ultra-compact vision computer FantoVision 20 delivers real-time image acquisition, compression, and processing at up to 20 Gb/s. Designed for embedded computer vision workloads, it enables high-speed, high-resolution imaging in systems with strict SWaP limits. As a result, it serves demanding industrial, mobile, and outdoor applications. For more details regarding the FantoVision20 edge computer, visit: FantoVision20 Ultra-compact embedded computer vision system for 20 Gb/s imaging Gidel, a technology leader in high-performance FPGA systems, introduces a small and robust platform tailored for embedded computer vision and high-throughput processing. FantoVision 20 allows image processing, compression, and recording of video streams up to 20 Gb/s in real time. It delivers this performance in an extremely compact form factor, enabling integration where size and power budgets are limited. High-speed image acquisition and real-time processing With 2×10GigE and Camera Link 80-bit (DECA) inputs, FantoVision 20 provides high-bandwidth camera interfaces. This allows the system to capture and process high-resolution images at fast frame rates in real time. The architecture combines an NVIDIA Jetson embedded computer with an Altera Arria 10 FPGA for high-end frame grabbing, AI, and image processing. Users can work in C/C++, CUDA, or NVIDIA’s full imaging and compression libraries. Meanwhile, the FPGA enables advanced pre-processing and compression. With multiple FantoVision 20 units and Gidel’s open-FPGA InfiniVision flow, integrators can capture and synchronize more than 1,000 camera streams in scalable systems. Thanks to its 134×90×60 mm³ form factor, FantoVision 20 fits easily into tight installations. Its rugged housing withstands harsh industrial environments, and both passive and active cooling configurations are available. New possibilities for industrial, outdoor, and mobile embedded vision With its strong processing capabilities and compact design, FantoVision 20 enables new embedded computer vision deployments. Typical applications include high-speed inspection, ITS, broadcast, medical imaging, agriculture, and aerial mapping. High-bandwidth interfaces and real-time processing also enable sorting and inspection tasks at high resolution. A 10GigE switch can connect multiple GigE cameras for 360° inspection or 3D scanning. NVIDIA AI tools support machine learning and inference pipelines. Due to its compression support and size, it can also serve as a portable offline recording system. For surveillance or traffic monitoring, FantoVision 20 enables compression, local recording, and streaming. Its compact housing installs easily on poles or gantries, and long cable interfaces allow flexible placement relative to cameras. The lightweight, low-power design also supports vehicle-based systems, such as 360° mapping, agricultural vision tools, weed detection, targeted fertilization, and autonomous harvesting. With high-bandwidth interfaces, AI-ready processing, and advanced FPGA acceleration, FantoVision 20 is a powerful solution for high-speed embedded computer vision. It supports demanding real-time imaging, compression, and recording needs while remaining SWaP-efficient and cost-optimized. Download press release (PDF) --- - Published: 2021-02-22 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/stratix-10-nx-fpga-module/ - Categories: Press release - Tags: HBM, Acceleration, Stratix 10, AI, FPGA Gidel introduces the Proc10N module and Proc1C10N PCIe board, the first commercial platforms powered by the Intel Stratix 10 NX. Discover how this compact FPGA solution utilizes Tensor blocks and HBM2 memory to deliver industry-leading acceleration for AI, vector processing, and high-bandwidth edge applications. The Stratix 10 NX module marks a major step forward in AI acceleration and vector processing for embedded and high-bandwidth systems. Gidel now brings Intel’s newest FPGA technology to a ready-to-use module and PCIe board, allowing developers to reach real-time performance levels that previously required large GPUs. Stratix 10 NX FPGA Module Technology in Proc10N and Proc1C10N Gidel has officially released its Proc10N FPGA module and Proc1C10N PCIe board, the first commercial platforms built around the Intel Stratix 10 NX. These compact, high-performance solutions target compute-intensive applications that require high data rates and low latency. The Stratix 10 NX integrates advanced Tensor blocks for deep learning acceleration and pairs them with high-bandwidth HBM2 memory, offering exceptional compute density and memory throughput. Gidel, a Titanium member of the Intel Partner Alliance, is among the first to bring this device to the market. AI, vector processing, security, and more The combination of Tensor blocks and HBM2 memory enables the Stratix 10 NX to excel in real-time, high-throughput tasks. As a result, developers can use these boards for demanding workloads such as AI inference, video analytics, cybersecurity, 5G processing, radar, and other bandwidth-intensive algorithms. Thanks to its small size and efficient architecture, it also fits well in embedded, low-power, and weight-constrained systems. High-Bandwidth Performance of the Stratix 10 NX Module The Proc10N module supports 1,600 Gb/s of customizable I/O, Tensor compute blocks capable of 143 INT8 TOPS per block, and 400 GB/s of HBM2 throughput. Developers can use this performance for convolution layers, FFTs, encoders, linear algebra, filtering, and similar operations. Despite its capabilities, the module remains extremely compact at only 97. 4 × 101 mm, making integration simple even in space-restricted designs. Intel’s benchmark tests show strong results. For example, Stratix 10 NX delivers up to a 9. 5× acceleration factor for LSTM batch processing compared to NVIDIA’s V100 GPU. It also achieves superior performance-per-watt compared to many GPUs and other FPGAs. Fast development with ProcVision and ProcDevKit modular tools Gidel’s modular tools allow developers to build FPGA-based solutions quickly. They also reduce project risk, complexity, and cost. The Proc10N module fits Gidel carrier boards or a user-designed board through the ProcDevKit. This flexibility supports fast prototyping and smooth product deployment. The ProcVision development suite accelerates FPGA development and system integration. It offers a unified toolchain for acquisition, buffering, FPGA flows, debugging, and simulation. Developers can focus on algorithms instead of low-level infrastructure. The Proc Dev Kit tool simplifies hardware setup and real-time system testing. It generates Application Support Packages (ASP) that match each project’s configuration. These packages speed up FPGA–host integration and reduce development time. ProcVision also supports distributed multi-unit acquisition. This allows synchronized capture across many cameras or sensors. The capability is essential for robotics, autonomous systems, 360° imaging, and high-volume inspection. Availability and custom designs Gidel currently ships the Proc10N and Proc1C10N in limited quantities. The company and its partners are already working on custom system designs for a wide range of industries. Developers interested in evaluating the Stratix 10 NX module or planning new FPGA-based systems are invited to contact Gidel’s support team for guidance and design assistance. Download press release (PDF) --- - Published: 2020-02-11 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/fpga-vs-gpu-interview/ - Categories: Technical Articles, Webinars & Tech Talks - Tags: Frame Grabber, HDR, Image Enhancements, JPG Compression, Acquisition, High-Bandwidth, CoaXPress, Edge AI Vision, Lossless Compression, Embedded Vision, Edge computer, Machine Vision, FantoVision, Imaging, GigE Vision, NVIDIA, Camera Link, Acceleration, Image Algorithms, FPGA, Image Processing, GPU, Jetson, Low-Latency In the Next FPGA Platform conference, Gidel Founder & CTO Reuven Weintraub explains why FPGAs are reclaiming the spotlight in high-performance computing. Learn how combining FPGA determinism with GPU intelligence creates superior hybrid architectures that solve critical bottlenecks in latency, bandwidth, and massive multi-camera synchronization. This FPGA vs GPU interview features Gidel’s Founder & CTO, Reuven Weintraub, speaking at The Next FPGA Platform conference in San Jose. He elaborates why FPGAs are regaining momentum in high-performance computing, and how modern workloads benefit from FPGA architectures where GPUs face bottlenecks. FPGA vs GPU Interview – Key Insights from the Conference During the session, Mr. Weintraub emphasized that the traditional view of FPGAs as “hard to program” is rapidly changing. With improved toolchains, modular IP libraries, and higher-level development frameworks, FPGAs are becoming far more accessible. This shift allows developers to reach performance levels that GPUs often cannot achieve due to architectural constraints. One major topic discussed was memory bandwidth. GPUs achieve high throughput, but they are often limited by fixed memory hierarchies. FPGAs, on the other hand, allow developers to build data pipelines tailored to the exact processing flow. As a result, they eliminate unused cycles, reduce latency, and handle non-uniform or sparse workloads efficiently. Where FPGAs Outperform GPUs Streaming and real-time processing – FPGAs process data as it arrives, without batching or queuing delays. Deterministic latency – Ideal for systems where GPUs cannot guarantee consistent timing. Vector processing and custom compute engines – The architecture adapts to the workload rather than forcing the workload to adapt to the architecture. Lower power consumption – FPGAs often deliver superior performance per watt in AI inference, vision, and signal processing. Fine-grained parallelism – Enables massive concurrency tailored to the real-time dataflow. Gidel’s Founder and CTO also explained that many modern applications—such as cybersecurity, video analytics, radar, and real-time AI—require predictable performance. FPGAs supply this determinism naturally, while GPUs rely on shared compute and memory resources that introduce jitter and latency. FPGA + GPU: Why the Future Isn’t Either–Or While the interview highlights the shifting balance between FPGAs and GPUs, Gidel’s CTO emphasizes that the strongest systems do not choose between them. Instead, the real advantage comes from combining both technologies in the same architecture. The GPU excels at AI inference, analytics, and massively parallel workloads, while the FPGA delivers deterministic capture, high-bandwidth I/O, pre-processing, and sensor-level logic. A major benefit of the FPGA is the ability to build custom hardware algorithms that run at wire speed. These include HDR pipelines, debayering, noise reduction, quality enhancement, region-of-interest extraction, timestamping, multi-stream alignment, real-time compression, and even neural-network pre-processing. Because these operations run directly on the FPGA fabric, they offload the CPU and GPU entirely, reducing power, bandwidth, and latency. This hybrid approach is exactly what powers Gidel's FantoVision embedded computers. Each unit combines an NVIDIA Jetson GPU with a Gidel Arria-10 FPGA, forming a unified edge platform for real-time imaging. In this setup, the FPGA handles 20–40 Gb/s acquisition, low-latency triggering, camera control, on-FPGA compression, and advanced pre-processing, while the GPU focuses on AI models, analytics, and application-level logic. Accelerating FPGA Development with ProcVision To simplify and accelerate FPGA development, Gidel provides the ProcVision Suite, a modular vision SDK designed for imaging and high-speed acquisition systems. ProcVision enables developers to build fully customized acquisition and processing flows using Gidel’s InfiniVision and ProcFG architectures. It supports inline ISP, HDR, debayering, noise reduction, and on-FPGA compression engines such as Quality+, Lossless, and JPEG. Developers can insert their own proprietary algorithms directly into the FPGA pipeline, enabling real-time preprocessing and significant offloading of CPU and GPU resources. The suite includes the CertifEye validation environment, which streamlines testing and verification of custom IP. By using ProcVision, teams can deploy FPGA-accelerated imaging pipelines much faster and more reliably than with traditional FPGA flows. Scaling to 100+ Cameras with InfiniVision Gidel’s approach scales even further through InfiniVision, the company’s open-FPGA acquisition and synchronization framework. InfiniVision enables distributed imaging systems that can capture, stream, and precisely synchronize 100+ cameras across multiple FantoVision units—maintaining deterministic timing and real-time performance. This level of synchronization is extremely difficult to achieve with GPU-only or software-driven architectures. By combining FPGA determinism, GPU flexibility, ProcVision’s accelerated development flow, and InfiniVision’s large-scale synchronization, Gidel demonstrates that the future of computing is not FPGA versus GPU but FPGA + GPU working together—delivering higher throughput, lower latency, and more reliable system behavior than either technology could achieve alone. Read the Full FPGA vs GPU Interview You can read the full interview on The Next Platform: FPGA vs GPU – Time for a Compute Rematch --- - Published: 2019-10-24 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/fpga-image-processing-certifeye/ - Categories: Press release - Tags: Acceleration, FPGA, Development Tools, Dev Kit, SDK, ISP, ASIC Accelerate your FPGA imaging projects with CertifEye, Gidel’s real-time validation tool. By enabling developers to inject and analyze test images directly within the pipeline, CertifEye reduces compilation time by up to 50% and ensures bit-accurate performance for complex vision systems. The CertifEye FPGA development tool accelerates FPGA image processing workflows by allowing engineers to inject, process, and analyze test images in real time. It shortens development cycles for advanced machine vision, broadcast, medical imaging, and multisensory systems. Explore CertifEye here: CertifEye-Dev-Kit-Datasheet. pdf Learn about Gidel’s Imaging and Vision tools: ProcVision Suite How CertifEye Speeds Up FPGA Image Processing Development CertifEye provides a complete environment for building, debugging, and validating FPGA image processing IP. Engineers can inject known images or video streams into an FPGA or ISP pipeline, process them in real time, and return the results to the host for visual inspection. This workflow enables early correctness checks, which helps teams identify issues long before full system integration. Because the tests are repeatable, teams gain predictable and stable outcomes. As a result, image-processing pipelines become easier to refine and validate. Using CertifEye for FPGA Image Processing Workflows CertifEye integrates seamlessly with the ProcVision Suite, Gidel’s plug-and-play development environment for ISP pipelines on FPGA. Developers can work in C/C++, tune parameters with macros, and use advanced debug modes to optimize performance. The workflow ensures bit-accurate validation and supports deployment on Gidel hardware or other Intel-based FPGA devices. Accelerating Debug, Validation, and Compilation The CertifEye FPGA development tool reduces compilation time by up to 50%. Developers can debug their algorithms on a smaller FPGA and generate a final build for the target device later. This approach shortens iteration cycles and lowers development risks, especially in complex FPGA image processing projects. IP vendors also benefit from the ability to demonstrate multiple configurations—such as pixel widths, pixel-per-clock settings, or different FPGA architectures—without rebuilding a full system each time. Proven Technology for Demanding Vision Applications Gidel has delivered FPGA-based imaging tools for more than 25 years. CertifEye started as a solution built for a partner with rigorous development demands. Its value quickly expanded to a wider audience working on real-time imaging, high-speed pipelines, and integrated vision systems. Customers frequently report faster time-to-market and more reliable image-processing pipelines, as CertifEye simplifies IP development and prevents costly late-stage redesigns. End-to-End Integration for Image and Vision Systems CertifEye connects with Gidel’s hardware modules, frame grabbers, IP library, and host tools. As a result, engineers can move smoothly from algorithm design to grabbing, FPGA acceleration, and application-level processing—all within a unified workflow. This approach supports industries that depend on deterministic, high-performance FPGA image processing, including robotics, medical devices, autonomous platforms, and industrial inspection. --- - Published: 2019-09-16 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/news-cxp-12-frame-grabber-8-link-100gbps/ - Categories: Press release - Tags: Image Compression, Imaging, Acceleration, ISP, CXP-12, CoaXPress, Image Algorithms, Image Processing, Low-Latency, Frame Grabber, Image Enhancements, Acquisition, High-Bandwidth, Machine Vision Gidel, a technology leader in cutting-edge Vision and Imaging solutions based on FPGAs, today announced the Proc1C10N-CXP12, a new CoaXPress Frame Grabber delivering 100 Gb/s throughput. Featuring eight CXP-12 links and on-board Lossless/JPEG compression, this Intel® Arria 10-based solution enables real-time processing at 500+ MP/s, significantly reducing host system load. Gidel launches High-end CoaXPress CXP 12 Frame grabber featuring 8× CXP-12 links Gidel, a technology leader in FPGA-based Vision & Imaging solutions, today announced a new CoaXPress CXP 12 Frame Grabber delivering up to 100 Gb/s aggregate throughput: the Proc1C10N-CXP12. Built on Intel® Arria 10 FPGA technology, Proc1C10N-CXP12 combines deterministic acquisition across eight CXP-12 links with on-board Lossless / JPEG Compression and customizable FPGA ISP. As a result, it enables real-time processing at 500+ MPixels/s per encoder while significantly reducing host load in high-speed machine-vision systems. Alongside Proc1C10N-CXP12, Gidel’s HawkEye-CXP12 provides additional CXP-12 configurations, and the Proc10A-CXP6 offers a more cost-effective alternative with 8× CXP-6 links for projects that do not require full CXP-12 bandwidth yet still need deterministic acquisition and on-FPGA processing. High-Throughput CoaXPress CXP 12 Capture with On-FPGA Compression The 100 Gb/s Proc1C10N-CXP12 and the broader family support Line-scan and Area-scan cameras and comply with GenICam. In addition, they utilize Power-over-CoaXPress (PoCXP) and provide up to 33 GB of on-board memory for deep buffering. Together with InfiniVision recording, Gidel’s compact compression engines enable synchronized capture across 100+ cameras/sensors. Furthermore, Gidel’s CoaXPress-12 APIs allow parallel on-line processing and recording, because compression runs directly on the grabber. This preserves original data while minimizing PCIe bandwidth and CPU/GPU load. “Delivering eight CXP-12 links with on-FPGA processing and on-the-fly compression reduces the number of grabbers and host machines required, as well as total power,” said Ofer Pravda, VP Sales & Marketing at Gidel. “Consequently, the Proc1C10N-CXP12 pushes aggregate throughput to 100 Gb/s, enabling acquisition from top-tier cameras at hundreds of frames per second and cutting cost and footprint in large-scale systems. ” On-FPGA ISP and Compression for CoaXPress Systems Teams can accelerate ISP on the FPGA using their IP with Gidel templates. They may choose Lossless or JPEG compression for offline workflows, reducing data rates. Optimize cost and performance: select the affordable 8× CXP-6, or higher-end CXP-12 with abundant logic. ProcVision Suite streamlines integration, auto-generates ASPs, and includes CamSim plus debugging and verification tools. “Camera resolutions and frame rates keep climbing, so bandwidth and deterministic processing become the bottlenecks,” added Reuven Weintraub, Founder & CTO at Gidel. “Therefore, pairing CXP-12 with on-FPGA feature extraction, deep on-board buffering, and selective ROI transfer via ProcFG API reduces PCIe bandwidth and host processing, while our compression engines can further lower data rates without sacrificing quality. ” Availability and Options The Proc1C10N-CXP12 (100 Gb/s) is available now. Complementary choices include HawkEye-CXP12 and the more affordable Proc10A-CXP6 with 8× CXP-6 links to address diverse performance, integration, and budget requirements. For custom needs, Gidel also offers ODM services—from FPGA control and data-flow design to custom ISP. For more information, visit CoaXPress Frame Grabbers - High Performance Solutions | Gidel. --- - Published: 2018-11-06 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/jpeg-fpga-compression-ip/ - Categories: Press release - Tags: Imaging, Acceleration, JPEG Compression, CoaXPress, GigE Vision, Camera Link, Image Processing, Low-Latency, Frame Grabber, JPG Compression, Acquisition, High-Bandwidth, Machine Vision Gidel, a technology leader in cutting-edge Vision and Imaging solutions based on FPGAs, today announced a new real-time JPEG Compression IP. This compact solution offers 4× higher throughput utilization and supports unlimited image widths, enabling ultra-low latency compression for high-bandwidth vision and embedded systems. The new Gidel JPEG Compression IP delivers real-time JPEG encoding with very low latency, compact FPGA resource usage, and a throughput utilization ratio 4× higher than comparable solutions. Learn more about Gidel’s JPEG Compression here: JPEG Compression. FPGA JPEG Compression IP Expands Gidel’s Portfolio Gidel, a long-time leader in FPGA-based Vision and Imaging solutions, has introduced a new JPEG Compression IP designed for real-time processing on high-speed and embedded systems. This JPEG FPGA solution combines low FPGA resource usage with very high performance, making it both compact and exceptionally efficient. It also supports virtually unlimited image widths — a rare capability among hardware-based JPEG engines. Designed for High-Bandwidth JPEG on FPGA Vision Applications The Gidel JPEG Compression IP targets demanding applications that require real-time compression at high pixel rates. It is suitable for large-format cameras, multi-camera systems, and memory-limited devices that must compress data immediately on the FPGA. Typical use cases include field recording systems, broadcasting, surveillance, smart cities, embedded vision, and autonomous vehicles. Benefits of real-time JPEG compression According to Ofer Pravda, VP Marketing & Sales at Gidel, real-time compression offers several system-level advantages. Compressed data can be saved directly during acquisition rather than stored uncompressed in large memory banks. Additionally, compressed data transfers more efficiently to host memory, improving total storage bandwidth and reducing system load — an important benefit of JPEG FPGA processing. Supported by a full FPGA development ecosystem The JPEG Compression IP integrates into Gidel’s FPGA infrastructure, allowing customers to create optimized frame grabbers or embedded imaging pipelines quickly. It is supported by Gidel’s established development ecosystem, including infrastructure cores, FPGA processing tools, and application frameworks. This reduces integration time and helps customers deploy advanced systems under tight project deadlines. Part of Gidel’s Broader FPGA JPEG and Image-Processing Library This new JPEG IP joins Gidel’s existing lossless compression capabilities and multi-camera acquisition IPs. When combined with Gidel’s developer tools and hardware, customers gain a complete end-to-end platform for real-time video compression, image pre-processing, and FPGA-accelerated algorithms. Gidel’s unique portfolio—spanning infrastructure, IPs, tools, and long-standing Vision expertise—helps customers develop powerful imaging systems efficiently. These solutions support projects across industries, from early-stage startups to global enterprises. See the JPEG Compression IP in action Gidel demonstrated the new FPGA JPEG compression IP at the VISION show in Stuttgart, Germany. Visitors were able to view real-time demos and evaluate the performance of Gidel’s compression engines. --- - Published: 2018-06-21 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/fpga-reversible-compression-ip/ - Categories: Press release - Tags: Imaging, Acceleration, HPC, CoaXPress, Lossless Compression, GigE Vision, Camera Link, Image Processing, Low-Latency, Frame Grabber, Acquisition, High-Bandwidth, Machine Vision Gidel, a technology leader in high-performance accelerators utilizing FPGAs, today announced a new Reversible Compression IP. This breakthrough solution reduces storage needs by 50% while consuming under 0.2 W, delivering real-time 1 GB/sec encoding for HPC and vision systems. The new Gidel FPGA-based reversible compression IP reduces storage needs by over 50%, uses as little as 1% of the FPGA, and consumes under 0. 2 W. This ultra-efficient design enables real-time 1 GB/sec encoding and makes the IP ideal for high-bandwidth, vision, and data-intensive applications. Learn more about Gidel’s reversible compression IP here: Lossless Compression. Why FPGA-Based Reversible Compression Matters Today Renewed focus on compression and encryption IPs Gidel announced its new real-time reversible compression IP for FPGAs, offering a breakthrough combination of speed, efficiency, and ultra-low resource usage. The solution targets the HPC, Vision, and data-center markets—where bandwidth limits, power constraints, and storage requirements are becoming increasingly critical. This new IP enables real-time, mathematically reversible compression—allowing the original data to be perfectly reconstructed with zero degradation. Gidel developed the IP in response to customers requiring much higher performance than commercial software compression formats can deliver. Early evaluations showed superior compression ratios, faster computation time, and dramatically lower power consumption than CPU-based alternatives. Ultra-efficient FPGA reversible compression design (1% FPGA usage) The Gidel FPGA reversible compression core uses only a small number of logic elements and consumes less than 0. 2 W. For example, when running on the HawkEye Arria 10-480 board, the complete IP occupies just 1% of the FPGA silicon. This compact footprint makes it suitable for all Gidel high-performance boards—including FPGA modules and frame grabbers. Real-time reversible compression improves system efficiency on multiple fronts. Data can be stored immediately in compressed form rather than waiting for offline processing. Memory bandwidth is also significantly improved, as less data must be transferred to host memory or SSD storage. Boosting storage efficiency and sensor-based system performance Real-time reversible compression is especially critical for systems capturing large volumes of sensor data in the field. Applications with limited storage capacity or restricted uplink bandwidth benefit immediately. By reducing data size by more than 50%, the IP effectively doubles available capacity, increases sensor count, or increases acquisition speed—depending on system requirements. Initial tests were performed using hundreds of images supplied by Gidel’s strategic partners. The new IP is now available for customer deployments. Part of a broader compression and encryption roadmap Gidel offers multiple compression IPs and is preparing a family of FPGA-based encryption IPs. When deployed together—reversible compression followed by encryption—customers can build efficient and secure pipelines for cloud applications, edge systems, and imaging workflows. Both IP types are available as modular components in the Gidel tools library. This expanded focus on compression and encryption provides strong ROI for customers by reducing power consumption and lowering storage and processing needs. Combined with Gidel’s established vision processing capabilities, the IP family is ideal for applications such as recording systems, mapping, autonomous vehicles, homeland security, and other high-bandwidth workload environments. Gidel presented the reversible compression IP at ISC 2018 in Frankfurt, Germany (booth G-814). Visitors were able to see live demonstrations of the technology. --- - Published: 2017-11-09 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/fpga-acceleration-chrec-supercomputer/ - Categories: Case Studies - Tags: Low-Latency, HPC, Super Computing, CHREC, FPGA Acceleration, NOVO-G Discover how CHREC utilized Gidel’s FPGA acceleration technology to build Novo-G, the world’s fastest research-focused reconfigurable supercomputer. Learn how our direct FPGA-to-FPGA connectivity enables massive parallelism, ultra-low latency, and superior power efficiency for HPC clusters. The new FPGA acceleration technology from Gidel enables ultra-low-latency, full-duplex connectivity for reconfigurable supercomputers. This capability allows HPC researchers to design flexible, power-efficient clusters using direct FPGA-to-FPGA links with no CPU overhead. Learn more about Gidel’s FPGA Acceleration cards: Gidel FPGA Accelerators. Read more about reconfigurable computing research at CHREC: National Science Foundation. Gidel FPGA Acceleration for Reconfigurable HPC Systems Data centers face exponential data growth and increasing power demands. Traditional CPU-based architectures struggle to scale without major increases in power and cooling. Gidel’s FPGA acceleration technology provides a high-performance alternative, offering massive parallelism with significantly lower power consumption. Gidel’s direct FPGA connectivity replaces CPU involvement entirely, enabling real-time computation across FPGA clusters. This connectivity supports advanced topologies such as 3D and 12D Torus, and 6D or 24D Hypercube, making it ideal for HPC workloads that require extreme throughput. CHREC Builds a Reconfigurable Supercomputer Using Gidel FPGA Boards The Center for High Performance Reconfigurable Computing (CHREC), funded by the National Science Foundation, set out to create the fastest research-focused reconfigurable supercomputer in the world. Their goal was to evaluate architectures that deliver both high performance and low energy consumption. Initially, CHREC researchers explored CPU-socket accelerators but encountered instability, high costs, and under-performing I/O bandwidth. They shifted toward PCIe FPGA boards and evaluated multiple vendors. After extensive testing, Gidel was selected for its performance, stability, and superior technical support. Why Gidel Was Chosen for the Novo-G Supercomputer Highest FPGA speed grades available at the time Best-in-class FPGA-to-host and FPGA-to-FPGA throughput Large on-board memory with low latency Mature API and run-time environment for rapid development The resulting system, called Novo-G, used hundreds of Gidel FPGA cards (ProcStar III/IV and ProceV D8). These cards were interconnected using Gidel’s direct FPGA links, forming a high-speed 3D torus network that enabled FPGA-to-FPGA computation without CPU involvement. 2×4×4 Torus configuration (expandable) Record-Setting FPGA Acceleration Performance The Novo-G cluster delivered performance thousands of times more power-efficient than conventional supercomputers. It won the 2012 Alexander Schwarzkopf Prize for technology innovation and demonstrated nearly double the performance of Anton and fifty times the performance of BlueGene/L on the 3D FFT kernel. This success validated Gidel’s approach to high-throughput, low-latency FPGA acceleration for large-scale HPC infrastructure. Long-Term Collaboration and Scalable Architecture Gidel and the CHREC team have collaborated for more than a decade. According to the researchers, migrating between Gidel FPGA platforms was straightforward because the hardware architecture and API remained consistent across generations. The design supports scalability. One Gidel FPGA board can manage a large multi-dimensional communication network, and additional nodes can be added seamlessly to expand the cluster. --- - Published: 2017-11-03 - Modified: 2026-03-05 - URL: https://gidel-old.hostey.co.il/360-degree-camera-system/ - Categories: Case Studies - Tags: infiniVision, Acceleration, Intel Sport, AR, VR, MIPI, 360-degree camera system Discover how Gidel’s InfiniVision technology powers next-gen VR with a fully synchronized 24-camera array. Learn how our scalable FPGA architecture delivers seamless 360-degree imaging through precise timing, custom backplanes, and high-bandwidth fiber-optic transmission for next generation immersive fan experiences across media, sports, and entertainment. Gidel’s InfiniVision technology enables a complete 360-degree camera system for VR and AR applications. It allows developers to capture synchronized, high-quality images from large camera arrays and create immersive panoramic content for next-generation media, sports, and interactive experiences. Learn more about Gidel InfiniVision. Watch the demonstration here: InfiniVision Example. 360 Degree Camera System Built with Gidel InfiniVision A leading semiconductor company selected Gidel to help develop a highly scalable 360-degree camera system for its VR product division. The system captures panoramic content using 24 synchronized MIPI sensors. Intel, acting as a technology advisor to the customer, recommended Gidel because of its strong expertise in FPGA-based imaging and vision systems. To support this project, Gidel designed a custom FPGA I/O card that enables simultaneous acquisition from all 24 cameras. This infrastructure allows the semiconductor company to generate high-resolution VR content with precise control over timing, exposure, and sensor behavior. FPGA Architecture for 360 Degree Camera Arrays Each Gidel FPGA I/O card supports up to six MIPI cameras. Therefore, the full solution uses four synchronized cards to capture the entire 24-camera array. This modular design makes the system scalable, flexible, and easy to adapt to new VR or AR devices. Furthermore, Gidel’s hardware handles frame aggregation and timing alignment. As a result, the system maintains strict synchronization across all cameras—an essential requirement for stitching accurate 360-degree images. Synchronized Capture for 360 Degree Imaging Gidel’s FPGA technology ensures that every camera in the array operates with matching exposure timing, white balance, color processing, and gamma correction. This alignment dramatically improves stitching quality and reduces image mismatches during panoramic reconstruction. Additionally, the FPGA I/O cards manage camera enumeration, initialization, and control operations. Developers gain predictable, deterministic behavior for all 24 sensors, which is crucial for real-time VR pipelines. Software API for Full Camera-Array Control Alongside the hardware, Gidel created a dedicated software API that exposes system-level control to application developers. The API simplifies tasks such as camera reset, initialization, frame synchronization, and data handling. Consequently, software teams can integrate the solution into larger VR/AR platforms without needing FPGA expertise. This combination of FPGA hardware, real-time acquisition, and a flexible software API delivers an end-to-end imaging pipeline that is extremely difficult to achieve using conventional architectures. Download the InfiniVision Datasheet (PDF) --- --- ## Products - Published: 2025-12-29 - Modified: 2026-02-24 - URL: https://gidel-old.hostey.co.il/product/skyboost-rt-aerial-imaging/ Product Overview SkyBoost-RT is a dedicated solution for real-time aerial imaging and similar applications, designed to accelerate End-to-End processing directly on mission-critical airborne platforms. It enables High-Quality on-the-fly Image Signal Processing (ISP) and compression while the HRS is actively capturing RAW data, allowing high-quality imagery to be processed, recorded, or streamed in real time for Military & Defense ISR, Search & Rescue, and Situational Awareness. Built for pipelines where deterministic behavior, low latency, and continuous operation are critical, the solution processes and compresses RAW image data immediately during acquisition. This ensures seamless data flow without buffering delays or the need for intensive post-processing. Solving Data Bottlenecks in Aerial Imaging In many airborne systems, storing or transferring uncompressed RAW image data is not practical. High-resolution sensors (HRS) quickly generate terabytes of data, creating significant challenges for storage capacity, bandwidth, and real-time usability. SkyBoost-RT addresses these challenges by performing image processing and compression on the fly: The system processes High-Resolution RAW (Bayer) image data in real time while the camera is filming FPGA-based ISP enhances image quality before compression JPG compression significantly reduces data volume during acquisition, often exceeding a 10:1 compression ratio Deterministic behavior ensures continuous operation without dropped frames Furthermore, this approach enables long-duration recording without accumulating massive storage requirements and makes real-time streaming substantially easier due to the reduced data bandwidth. High-Quality Processing Pipeline Optimized for Aerial Imaging An FPGA-based image processing pipeline optimized for aerial imaging and real-time operation performs all stages deterministically. Specifically, the pipeline includes: Demosaicing – Converts raw Bayer data into sharp, full-color RGB imagery High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions Chromatic Aberration Correction – Corrects color fringing and lens-related color misalignments for crisper edges Non-Uniformity Correction (NUC) – Calibrates individual pixel responses to ensure a uniform image across the entire sensor Bad Pixel Replacement (BPR) – Automatically identifies and compensates for defective pixels in real time Dynamic Luminance Balance – Preserves consistent brightness under changing illumination White Balance – Maintains color accuracy across variable lighting conditions JPG compression exceeding a 10:1 ratio directly on the FPGA Optional: H. 264 / H. 265 – Industry-standard video compression for efficient recording and transmission RTSP Output Options – Enables bandwidth-efficient video streaming and recording All processing stages operate with controlled buffering and predictable latency, ensuring stable performance under sustained high data rates. Throughput for High-Resolution Aerial Sensors (HRS) The architecture is purpose-built for Ultra-Aerial-HRS, supporting image widths of up to 32K pixels. This corresponds to cameras of up to ~500MP, depending on the model and configuration. In real-time pipelines, the system can process over 7 images per second, depending on configuration and input format. Additionally, it sustains high frame rates even at very large frame sizes, enabling continuous acquisition, processing, and compression without interrupting the image stream. Performance at Scale Sensor Class Processing Speed Throughput 100 MP > 7 FPS > 2 Terapixels / Hour 150 MP > 4. 5 FPS > 2 Terapixels / Hour Swipe horizontally to view all columns → *Throughput values depend on specific pixel format and system configuration. Deployment on Airborne and Embedded Platforms Gidel supports deployment across multiple hardware platforms, depending on system architecture and operational constraints: Mini Jetson Frame Grabber Systems combining FPGA acceleration with embedded GPU processing FPGA Frame Grabbers installed in user PCs or servers FPGA modules for compact, embedded, and low-SWaP deployments This makes the solution particularly well suited for platforms where size, weight, and power matter, such as embedded airborne systems, compact payloads, and the broader aerial imaging environment. Supported Interfaces The system supports a wide range of high-end camera and sensor interfaces, including: 1-10 GigE Vision CoaXPress-12 and CoaXPress-6 All Camera Link configurations Custom user-defined protocols ISP Customization for UAV and Aerial Systems The ProcVision SDK provides full control over the Image Signal Processing pipeline through FPGA-level customization. This enables application-specific ISP design to meet precise imaging requirements. Additionally, the system calibrator handles pipeline optimization, allowing configuration of the processing flow to balance image quality, compression ratio, throughput, and system resource utilization. Why Choose SkyBoost-RT for Your Aerial Imaging Application? SkyBoost-RT overcomes the storage and bandwidth limitations of airborne platforms by processing and compressing massive RAW data streams in real time, ensuring you capture all images without overwhelming your downlink. It empowers mission-critical ISR and inspection operations with immediate visual intelligence, all within the tight power and weight limits of modern UAVs. Need to accelerate your workflow back at the office instead? Discover SkyBoost to drastically reduce your post-processing times. --- - Published: 2025-12-29 - Modified: 2026-02-27 - URL: https://gidel-old.hostey.co.il/product/skyboost-fastest-raw-to-jpg-acceleration/ Product Overview SkyBoost is a workstation-grade acceleration solution designed to eliminate post-processing bottlenecks by performing high-volume and high quality RAW to JPG conversion using a dedicated hardware accelerator. Unlike standard software that relies on CPU or GPU processing, this platform ensures rapid batch processing for Aerial Mapping, Orthophoto, and Large-Scale Inspection—especially when utilizing High-Resolution Sensors (HRS) in demanding Outdoor Imaging environments. By massively reducing the processing time per image, the solution processes terabytes of aerial imagery in less than an hour. It converts massive "data dumps" from flight missions into ready-to-use imagery at speeds 50x faster than standard market solutions. Solving the RAW to JPG Backlog In high-end aerial surveying, the challenge shifts from the aircraft to the office the moment the drone lands. A single flight can generate thousands of high-resolution RAW files, creating a massive data backlog. Standard software tools like Capture One™ or RawTherapee are excellent for interactive editing but struggle to handle this industrial scale, often tying up workstations for days. SkyBoost addresses these challenges by offloading the conversion to a dedicated hardware engine: The system performs Batch Processing of High-Resolution RAW (Bayer) data stored on local drives. FPGA-based ISP enhances image quality identically to high-end camera pipelines. Hardware acceleration delivers performance more than 50x faster than software-based conversion. Reduces project turnaround time from days to minutes (or hours for massive datasets). Furthermore, this approach frees up your standard workstations for other tasks, as the heavy lifting is handled entirely by the SkyBoost accelerator card. Performance at Scale Sensor Class Processing Speed Throughput 100 MP > 3 FPS > 1 Terapixel / Hour 150 MP > 2 FPS > 1 Terapixel / Hour Swipe horizontally to view all columns → *Throughput values depend on specific pixel format and system configuration. High Quality RAW to JPG Pipeline Optimized for Aerial Imaging An FPGA-based image processing pipeline optimized for aerial imaging performs all stages deterministically to ensure maximum quality. Specifically, the pipeline includes: Demosaicing – Converts raw Bayer data into sharp, full-color RGB imagery High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions Chromatic Aberration Correction – Corrects color fringing and lens-related color misalignments for crisper edges Non-Uniformity Correction (NUC) – Calibrates individual pixel responses to ensure a uniform image across the entire sensor Bad Pixel Replacement (BPR) – Automatically identifies and compensates for defective pixels in real time Dynamic Luminance Balance – Preserves consistent brightness under changing illumination White Balance – Maintains color accuracy across variable lighting conditions High-Speed JPG compression exceeding a 10:1 ratio directly on the FPGA. All processing stages operate with high-throughput buffering, ensuring stable performance even when processing massive folders of high-resolution imagery. High-Throughput RAW to JPG Conversion The architecture handles ultra-high-resolution sensors, supporting image widths of up to 32K pixels. This corresponds to cameras of up to ~500MP, ensuring compatibility with the most advanced mapping sensors. In high-volume batch workflows, the system can process over 3 images per second. Deployment on Workstations and Edge Systems SkyBoost is designed for easy integration into existing IT infrastructure via PCIe FPGA Accelerator cards or Embedded Edge Computers. This makes it the ideal engine for processing massive aerial imaging datasets across two primary deployment formats: PCIe FPGA Accelerator cards – Installed in standard office workstations or servers Embedded Edge Computers – Standalone units ISP Customization for RAW Image Processing The ProcVision SDK provides full control over the Image Signal Processing pipeline through FPGA-level customization. This enables application-specific ISP design to meet precise imaging requirements. Additionally, the system calibrator handles pipeline optimization, allowing configuration of the processing flow to balance image quality, compression ratio, and throughput based on the specific needs of the mapping project. Why Choose SkyBoost for Your Data Workflow? SkyBoost transforms the economics of aerial mapping by virtually eliminating the processing "wait time". By processing > 1 Terapixel / Hour, it allows you to deliver orthophotos and 3D models to clients faster than ever before. It provides the industrial speed required to match the industrial volume of modern aerial sensors. Looking for On-the-Fly processing? See SkyBoost-RT. --- - Published: 2025-12-24 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/image-acquisition-system-procfg/ - Product categories: PRODUCTS, Development Tools for Imaging & Vision Applications, GIL - Gidel Imaging Libraries (IPs) ProcFG: Deterministic Image Acquisition System ProcFG is Gidel’s deterministic image acquisition system, engineered to reliably capture every frame produced by connected cameras without loss. The system targets Machine Vision & Imaging applications that demand predictable timing, complete data integrity, and long-term operational stability. Unlike flexible multi-camera platforms that favor dynamic configurations, ProcFG enforces strict acquisition rules in hardware, preventing frame drops caused by host CPU contention or operating system scheduling. Acquisition Architecture for Guaranteed Frame Capture ProcFG operates as an acquisition application on top of Gidel’s FPGA-based frame grabbers. It controls how the system captures, buffers, and delivers image data to the host. Its primary goal is to prevent frame loss during continuous operation. ProcFG handles acquisition logic directly on the FPGA. This approach minimizes reliance on host-side software timing. As a result, downstream pipelines receive a complete and ordered image stream, even in high-throughput or long-duration deployments. ProcFG integrates seamlessly with Gidel PCIe Frame Grabbers. It can also run on Mini Jetson Frame Grabber Systems and FPGA Modules for compact or embedded installations. The platform works with GigE Vision, CoaXPress, and Camera Link interfaces. Gidel can also add custom sensor interfaces and protocols on request. Deterministic Image Acquisition Model and Operating Variants ProcFG uses a deterministic acquisition model. The system defines frame size, pixel format, and timing behavior in hardware. This approach simplifies system validation and reduces variability across operating conditions. ProcFG offers multiple variants to address specific acquisition needs. These include single-camera and multi-camera setups that require strict timing alignment and repeatable behavior. Designers can select the right balance between throughput, buffering, and synchronization without risking frame integrity. FPGA-Based Image Acquisition Preprocessing and Data Handling In addition to frame capture, ProcFG performs FPGA-based preprocessing directly on the frame grabber. Processing data close to the sensor reduces unnecessary data movement and lowers host-side load. ProcFG can also include optional inline processing blocks such as ISP. These blocks help manage bandwidth, storage, and processing efficiency while preserving deterministic acquisition behavior. Integration into Gidel Vision Architectures ProcFG integrates naturally into Gidel’s broader vision ecosystem. It serves as the deterministic acquisition layer within systems that also include FPGA-based image enhancement or embedded processing. Some applications require flexible camera configurations, dynamic frame sizes, or very large synchronized camera arrays. For these cases, Gidel offers the InfiniVision multi-camera vision system. ProcFG is the preferred choice when guaranteed frame capture and predictable behavior matter more than flexibility. Why Choose the ProcFG ProcFG provides a focused and reliable foundation for deterministic vision systems. It moves acquisition control into FPGA hardware and enforces strict capture behavior. This approach enables complete and repeatable image acquisition under sustained load. When frame integrity, timing predictability, and long-term stability are critical, ProcFG delivers a proven and purpose-built image acquisition system. --- - Published: 2025-10-01 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/octo-cxp-12-frame-grabber/ - Software Types: Imaging & Vision - Product categories: High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel Proc1C10N-CXP12: Octo CXP 12 Frame Grabber with Real-Time Image Processing The Proc1C10N-CXP12 is a high-performance Octo CXP 12 Frame Grabber designed for real-time image acquisition, preprocessing, and compression in demanding multi-camera vision environments. Built on Gidel’s Proc10N FPGA module with Altera Stratix 10 NX FPGA technology, it integrates embedded Tensor blocks and HBM2 memory, delivering 143 INT8 TOPS / FP16 TFLOPS of processing power. As a result, it can process and analyze data from up to 8× CXP-12 links, making it ideal for advanced vision-based AI systems. Performance and Real-Time Image Processing The Proc1C10N-CXP12 is available as a plug-and-play CXP-12 Frame Grabber, or, alternatively, as part of a complete solution that integrates image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). In practice, this means lower latency at the edge; moreover, teams can offload significant work from the host. Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera Octo CXP 12 Frame Grabber Gidel’s InfiniVision architecture enables deterministic, synchronized acquisition from 100+ CXP-12 cameras. As a result, it manages bandwidth, connectivity, and scalability across large systems. Meanwhile, a PCIe Gen3 x16 host interface ensures ultra-fast data transfer, and 8 × CXP-12 links provide up to 96 Gb/s aggregated bandwidth. In addition, on-board HBM2 and DDR4 memory sustain throughput even under extreme loads. Flexible Operating Modes The Proc1C10N-CXP12 supports two operating modes selectable via firmware: InfiniVision: Designed for synchronized multi-camera setups, combining all incoming data—even across multiple cards—into a single unified buffer with dynamic resolutions and formats. ProcFG: Tailored for precision and line-scan applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the Proc1C10N-CXP12 adapts to diverse workflows—from complex multi-camera systems to single-camera applications requiring consistent, high-performance acquisition. SDK and Development Tools for The Proc1C10N-CXP12 is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for easy integration. Moreover, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling rapid customization of data pipelines, real-time processing, and compression workflows—so teams can deploy optimized, application-specific solutions faster and with reduced risk. Why Choose the Proc1C10N-CXP12? (Octo CXP 12 Frame Grabber) Supports up to 8 × CXP-12 links for high-bandwidth acquisition. FPGA-based real-time processing with HDR, white balance, and gamma correction. Dynamic ROI compression for storage and bandwidth efficiency. Flexible operating modes to suit synchronized multi-camera and deterministic capture. Advanced SDK + ProcVision Suite for rapid development and integration. Looking for a compact Quad CXP-12 Frame Grabber? See HawkEye-CXP12. Need an Octo CoaXPress-6 Frame Grabber, refer to Proc10A-CXP6. For a Jetson-based Quad CoaXPress-12 solution, visit FantoVision40-CXP12 Edge Computer Vision System. For a Jetson with Quad CXP12 & 10GigE Vision Interfaces, see FantoVision40 Edge Computer Vision System. --- - Published: 2025-09-08 - Modified: 2026-03-25 - URL: https://gidel-old.hostey.co.il/product/jetson-coaxpress/ - Software Types: FantoVision40 - Product categories: Mini Jetson Frame Grabber Systems, GigE Vision Frame Grabbers, CoaXPress Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel FantoVision40‑CXP12: Jetson CoaXPress Vision Frame Grabber System The FantoVision40-CXP12 is a rugged Jetson system with a fully integrated CoaXPress-12 frame grabber. Powered by the NVIDIA Jetson Orin NX, it captures and processes up to 4x CoaXPress 2. 1 (CXP‑12) links with PoCXP. It merges high‑end image acquisition on an Arria 10™ FPGA with real‑time GPU processing on Jetson, enabling low‑latency recording, streaming, and Edge AI in an ultra‑compact, Low SWaP form factor. Jetson CoaXPress Performance and Real-Time Processing The FantoVision40-CXP12 is available as a plug-and-play CoaXPress-12 frame grabber system or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Flexible Development Tools Open architecture: split/chain processing between FPGA and GPU GPU development: CUDA | C/C++ and NVIDIA AI libraries on Jetson FPGA development: rapid pre‑processing deployment with ProcVision Suite Integrated Vision Acquisition and Processing Deploy a single compact node for acquisition, real-time pre-processing, Edge AI inference, and recording. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability. For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework. For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer. Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies. Why Choose the FantoVision40‑CXP12? Quad CXP‑12 with PoCXP for long‑reach, robust cabling, grabbing and processing Up to 50 Gb/s aggregate input bandwidth FPGA‑plus‑GPU pipeline with Compression (. JPEG, Lossless, Quality+) option Real-Time High Dynamic Range (HDR) correction option Mini, rugged System for recording & streaming and Edge AI The FantoVision40‑CXP12 is the ideal choice when you need maximum CoaXPress throughput in a compact, low‑latency Jetson platform. For Jetson Multi interfaces system with Quad CoaXPress-12 & optional 4× 10 GigE, see FantoVision40. Looking for Jetson system with Camera Link interface? refer to FantoVision20-CL. For Jetson Multi interfaces system with Camera Link & Dual 10GigE interfaces, visit FantoVision20. Looking for Jetson system with Dual 10GigE only? see FantoVision20-GigE. For an Octo CoaXPress-12 Frame Grabber PCIe Card solution? visit Proc1C10N-CXP12. Looking for a compact Quad CXP-12 Frame Grabber PCIe Card? refer to HawkEye-CXP12. --- - Published: 2025-09-08 - Modified: 2026-03-25 - URL: https://gidel-old.hostey.co.il/product/jetson-gige/ - Software Types: FantoVision20 - Product categories: Mini Jetson Frame Grabber Systems, GigE Vision Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Camera Link Grabber, Modular Imaging Solutions by Gidel FantoVision20-GigE: Jetson GigE Vision Frame Grabber System The FantoVision20-GigE is a rugged Jetson system with a fully integrated GigE Vision frame grabber. Based on the NVIDIA Jetson Orin NX / Xavier NX, it is specifically designed to capture and process data from 10 GigE Vision cameras in real-time. It merges high-end image acquisition on an Arria 10™ FPGA with real-time GPU processing on Jetson, enabling low-latency recording, streaming, and Edge AI in an ultra-compact form factor. Jetson GigE Performance and Real-Time Processing The FantoVision20-GigE is a plug-and-play dual 10GigE Vision frame grabber available as a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Flexible Development Tools Open architecture: split/chain processing between FPGA and GPU GPU development: CUDA | C/C++ and NVIDIA AI libraries on Jetson FPGA development: rapid pre‑processing deployment with ProcVision Suite Integrated Vision Acquisition and Processing Deploy a single compact node for acquisition, real-time pre-processing, Edge AI inference, and recording. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability. For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework. For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer. Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies. Why Choose the FantoVision20‑GigE? Built-in Dual 10GigE Vision Frame Grabber for flexible, long-reach Ethernet integration Up to 20 Gb/s aggregate input bandwidth FPGA‑plus‑GPU pipeline with Compression (. JPEG, Lossless, Quality+) option Real-Time High Dynamic Range (HDR) correction option Mini, rugged System for recording & streaming and Edge AI The FantoVision20-GigE is the ideal choice when your workload lies on GigE Vision High Speed cameras in a compact, low-latency Jetson platform. For Jetson Multi interfaces system with Camera Link & Dual 10GigE, see FantoVision20. Looking for Jetson system with Camera Link interface? visit FantoVision20-CL. For Jetson Multi interfaces system with Quad CoaXPress-12 & optional 4× 10 GigE, see FantoVision40. Looking for Jetson system with Quad CoaXPress-12 only? refer to FantoVision40-CXP12. Looking for a GigE Vision Frame Grabber PCIe card options? Check out HawkEye-20GigE, Proc10A-40GigE and Proc1C10M-120GigE. Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE. --- - Published: 2025-09-07 - Modified: 2026-03-25 - URL: https://gidel-old.hostey.co.il/product/jetson-camera-link/ - Software Types: FantoVision20 - Product categories: Mini Jetson Frame Grabber Systems, GigE Vision Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Camera Link Grabber, Modular Imaging Solutions by Gidel FantoVision20-CL: Jetson Camera Link Frame Grabber System The FantoVision20-CL is a rugged Jetson system with a fully integrated Camera Link frame grabber. Based on the NVIDIA Jetson Orin NX / Xavier NX, it captures and processes from Camera Link (Deca | Full | Medium | Base | Dual Base) cameras in real-time. It merges high-end image acquisition on an Arria 10™ FPGA with real-time GPU processing on Jetson, enabling low-latency recording, streaming, and Edge AI in an ultra-compact, Low SWaP form factor. Jetson Camera Link Performance and Real-Time Processing The FantoVision20-CL is a plug-and-play Camera Link frame grabber available as a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Flexible Development Tools Open architecture: split/chain processing between FPGA and GPU GPU development: CUDA | C/C++ and NVIDIA AI libraries on Jetson FPGA development: rapid pre‑processing deployment with ProcVision Suite Integrated Vision Acquisition and Processing Deploy a single compact node for acquisition, real-time pre-processing, Edge AI inference, and recording. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability. For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework. For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer. Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies. Why Choose the FantoVision20-CL? Built-in Camera Link Frame Grabber (Deca | Full | Medium | Base | Dual Base) for grabbing and processing FPGA-plus-GPU real-time imaging pipeline optimized for low-latency AI and vision workloads Compression options: (. JPEG, Lossless, Quality+) option Real-Time High Dynamic Range (HDR) correction option Mini, rugged System for recording & streaming and Edge AI The FantoVision20-CL is the ideal choice when you need deterministic Camera Link capture with modern, low-latency Jetson analytics. For Jetson Multi interfaces system with Camera Link & Dual 10GigE, see FantoVision20. Looking for Jetson system with Dual 10GigE only? visit FantoVision20-GigE. For Jetson Multi interfaces system with Quad CoaXPress-12 & optional 4× 10 GigE, see FantoVision40. Looking for Jetson system with Quad CoaXPress-12 interface? refer to FantoVision40-CXP12. Looking for a Camera Link Frame Grabber PCIe card option? Check out HawkEye-CL. --- - Published: 2025-09-04 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/coaxpress-simulator/ - Software Types: CamSim-X - Product categories: Development Tools for Imaging & Vision Applications, GIL - Gidel Imaging Libraries (IPs) CamSim-X: CoaXPress Camera Simulator The CamSim-X is a high-performance CoaXPress camera simulator designed for testing and validating imaging systems and Frame Grabbers. Fully compliant with CoaXPress standards, it generates video streams and test patterns that accelerate development, ensure robust validation, and reduce time-to-market. Performance and Simulation Capabilities The CamSim-X supports all CoaXPress pixel formats and delivers unmatched flexibility for developers. It transmits BMP and RAW image files as well as grayscale and color test patterns using its built-in generator. Moreover, users can program image timing and data parameters through an intuitive GUI, providing full control over simulation accuracy and flexibility. As a result, engineers gain both precision and efficiency during testing. Flexible Development Tools The CamSim-X offers a complete development environment: Application Software: GUI-based control for transmitting images, configuring parameters, defining timing, and displaying results. API Methods: A robust set of APIs for Windows and Linux, enabling tailored simulator applications. User-Configurable CC Lines: Programmable Camera Control lines for versatile triggering and synchronization. In addition, these tools ensure seamless integration into diverse workflows and simplify the process of creating custom test setups. Boosting Productivity and Reducing Costs By enabling simulation in a low-cost lab environment, the CamSim-X eliminates reliance on expensive cameras during early-stage development. Furthermore, its data-flow repetition capability ensures reproducible testing, allowing engineers to validate algorithms and quickly identify and resolve rare bugs. Consequently, teams achieve higher productivity, lower costs, and stronger confidence in their imaging systems. Why Choose the CamSim-X? (CoaXPress Camera Simulator) Fully compliant with CoaXPress standards. Flexible test pattern generation with BMP/RAW and color/grayscale options. FPGA-based transmission for accurate, repeatable simulations. GUI and API support for fast customization. Cost-effective solution for developing and validating imaging pipelines. The CamSim-X provides engineers with a reliable, flexible, and cost-effective CoaXPress simulator. Therefore, it is the ideal choice for teams aiming to streamline development, accelerate testing, and improve long-term system reliability. Need a CoaXPress frame grabber? Check out the HawkEye-CXP and the Proc10A-CXP Grabbers. For a Jetson-based CoaXPress grabber solutions, see FantoVision40-CXP12 and FantoVision40 Edge Computers. Looking for a Camera Link Simulator solution? visit Camsim-CL product. --- - Published: 2025-06-09 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/fpga-programming-sdk/ - Product categories: Development Tools for Imaging & Vision Applications FPGA Programming SDK Gidel's FPGA Programming SDK streamlines development by offering both Board Support Packages (BSPs) and Application Support Packages (ASPs). Optimized for Altera FPGA technology, each serves a unique role in simplifying hardware integration and performance optimization. The BSP provides the essential foundation for FPGA engineers. It includes low-level drivers, configuration files, and host interfaces required to bring up the hardware and ensure seamless communication between the FPGA board and the host system. This setup handles board initialization, memory interfaces, PCIe connectivity, and I/O definitions, forming a reliable base for system development. Gidel further enhances this with its Application Support Package (ASP)—a high-level automation layer that goes beyond traditional BSP functionality. The ASP maps FPGA resources to match the specific needs of your application. It automatically detects active IPs within the FPGA, configures the appropriate data flow, and allows multiple processes to run simultaneously without interference through multi-program parallel access. The ASP’s automation eliminates manual resource allocation and reduces the risk of configuration errors, significantly lowering the overall engineering effort. It enables the system to adapt quickly to changes, improves long-term maintainability, and supports faster deployment cycles. A key benefit of Gidel’s approach is FPGA virtualization. This enables multiple programs or developers to work on the same FPGA simultaneously, each accessing only the required resources. This approach enhances modularity and is ideal for demanding environments such as AI pipelines, high-speed vision, and data acquisition. The ASP can also dynamically allocate any unused FPGA resources, boosting flexibility and ensuring maximum hardware utilization. Whether the workload is heavy or spread across several smaller modules, system performance remains optimized. By simplifying integration and maximizing performance, the ASP helps users' lower development costs and reduce time-to-market. Gidel's FPGA Programming SDK is an integral part of Gidel's ProcVision Suite— a comprehensive environment for developing customizable vision & imaging systems. --- - Published: 2025-03-12 - Modified: 2026-03-31 - URL: https://gidel-old.hostey.co.il/product/high-dynamic-range-hdr-ip/ - Product categories: Development Tools for Imaging & Vision Applications, Image Compression Options, GIL - Gidel Imaging Libraries (IPs) HDR IP Correction: High Performance Single Exposure While traditional HDR relies on multiple exposures — a method often impractical for applications involving motion or high data rates — Gidel’s High Dynamic Range IP overcomes these limitations with an innovative single-exposure algorithm. This FPGA-based solution delivers uncompromised HDR quality and real-time performance. Superior Image Quality with Unlimited Throughput Gidel’s IP provides real-time, high-quality HDR with virtually zero latency. It stands out by analyzing not only the luminance data of each pixel but also the surrounding pixels, dynamically adjusting HDR processing to account for local luminance variations. This environment-sensitive approach enhances subtle details, even in challenging HRS lighting, to deliver data with exceptional fidelity. HDR IP High-Volume Processing Gidel’s proprietary HDR algorithm uses FPGA architecture to process multiple pixels simultaneously. This enables high-speed, efficient performance across an ultra-wide field of view. It is the ideal solution for high-throughput, outdoor HRS pipelines. Integration in ISP Pipeline Gidel’s HDR correction provides powerful CPU offloading, integrating seamlessly into Gidel’s Mini Jetson Frame Grabbers, PCIe Frame Grabbers and FPGA Modules. This technology is essential for high-dynamic-range requirements in high-end Imaging & Vision applications. High-Quality Demosaicing White Balance Dynamic Luminance Balance Compression IPs (. JPEG, Lossless, Quality+) This modular and customizable approach allows for a fully optimized end-to-end solution to meet the specific demands of any imaging application, ensuring maximum performance with minimal host intervention. --- - Published: 2024-05-28 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/modular-vision-sdk-for-fpga/ - Product categories: PRODUCTS, Development Tools for Imaging & Vision Applications, GIL - Gidel Imaging Libraries (IPs) Modular Vision SDK for FPGA Development Gidel’s ProcVision Suite is a Modular Vision SDK for FPGA Development. It provides a unique ecosystem for building high-performance, custom imaging and vision systems. Gidel offers fully customizable image acquisition and processing platforms that combine FPGA acceleration, smart IP cores, and seamless host integration. This flexibility enables developers to quickly build and deploy tailored solutions, offering a real competitive edge in vision development. The ProcVision Suite allows full customization of the acquisition and processing path for imaging and vision applications. Developers can insert proprietary image processing or AI algorithms directly into the FPGA pipeline. These algorithms combine with Gidel’s robust IPs to optimize performance for real-time applications. Additionally, the platform also supports Gidel’s advanced compression technologies, including the proprietary Quality+ enhancement compression, as well as JPEG and Lossless compression options - vital for reducing bandwidth and storage without compromising image fidelity. Gidel provides the CertifEye toolchain to ensure robust development and fast debugging. It enables real-time verification of user algorithms with live or simulated data. Gidel’s InfiniVision provides flexible infrastructure for multi-Camera grabbing and processing. It supports simultaneous acquisition of over 100 cameras or sensors Gidel’s FantoVision series mini edge computer combines Gidel’s grabbing and processing technology with NVIDIA Jetson. Moreover, this powerful integration transforms the ProcVision Suite into a complete solution for AI edge computing applications. As a result, this system delivers an ideal platform for AI, recording, and streaming applications. In summary, ProcVision Suite is more than a standard development kit. It is a Modular Vision SDK for FPGA-based systems. As a result, this suite empowers developers to accelerate innovation in imaging, AI, and high-speed data acquisition. Moreover, it includes powerful tools, reusable IP cores, and seamless integration features for efficient system development. Consequently, these capabilities enable faster development cycles, easier customization, and scalable deployment across various vision & imaging applications. --- - Published: 2024-05-27 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc1c10m-accelerator-card/ - Software Types: FPGA Compute Acceleration - Product categories: FPGA Accelerator Cards Proc1C10M - High-Performance FPGA Accelerator Card with HBM2 Technology The Proc1C10M™ is a compact, ultra-high-performance accelerator card built on Altera Stratix 10 MX. Designed for compute-intensive, low-latency, and high-bandwidth applications, it not only delivers massive processing power but also integrates HBM technology with up to 1,600 Gb/s of I/O bandwidth. As a result, this FPGA accelerator ensures unmatched data throughput for today’s most demanding workloads. Unmatched Performance This compute accelerator integrates 16 × 25 Gb/s full-duplex transceivers and a multi-level memory architecture. Additionally, the memory ecosystem includes embedded MLABs and M20K, tightly coupled HBM and eSRAM, and up to 128 GB DDR4. Therefore, the Proc1C10M offers exceptional processing capabilities and consistent low-latency performance for HPC, AI acceleration, storage, networking, and high-end imaging workloads. Connectivity & Scalability The half-length PCIe Gen3 x16 accelerator card includes 4 × QSFP28 ports, a Gidel PHS connector for daughterboards, and 19 GPIOs for peripheral control. Furthermore, the PHS supports up to 128 Gb/s Rx/Tx, enabling seamless integration with 8× CoaXPress-12 cameras via a Gidel CXP daughterboard. Consequently, the Proc1C10M is ideal for vision-intensive and real-time applications. Development Tools Supported by Gidel’s advanced development suite, the Proc1C10M FPGA accelerator card simplifies complex project deployment. Moreover, it supports development in both C and HDL, reducing integration time, improving reliability, and accelerating time-to-market. Why Choose the Proc1C10M Accelerator Card? HBM technology for 10X more DRAM and eSRAM bandwidth 1,600 Gb/s I/O bandwidth for high-throughput applications Compact PCIe design with flexible I/O Optimized for HPC, acceleration, networking, storage, and imaging workloads For more accelerator card options, visit FPGA Compute Acceleration - Gidel Target applications: Broadcasting, Image-Processing and Video Analytics: grabbing from 100+ high-bandwidth sensors with real-time image processing, compression and AI application, all running on a single FPGA. Security: deep packet inspection, fraud detection, etc. 5G and Radar: high-bandwidth real-time edge computing Natural Language Processing: speech recognition and speech synthesis --- - Published: 2024-05-27 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc1c10n-fpga-accelerator/ - Software Types: FPGA Compute Acceleration - Product categories: FPGA Accelerator Cards Proc1C10N: AI-Optimized FPGA Accelerator with HBM2 Technology The Proc1C10N™ is a compact, ultra-high-performance FPGA accelerator built on Altera Stratix® 10 NX FPGA. Designed for AI-driven, compute-intensive, and high-bandwidth applications, it not only integrates embedded Tensor blocks with HBM2 memory but also delivers 143 INT8 TOPS / FP16 TFLOPS of processing power. As a result, this FPGA accelerator provides exceptional throughput and efficiency for advanced AI workloads. AI Performance and Memory This AI-focused compute accelerator combines 16 × 25 Gb/s full-duplex transceivers with a robust multi-level memory architecture. Additionally, it features embedded MLABs and M20K, tightly coupled HBM2 and eSRAM, and supports up to 128 GB DDR4. Therefore, the Proc1C10N achieves ultra-low latency and high bandwidth, making it ideal for AI acceleration, HPC, networking, and edge-compute environments. Connectivity and Expansion Options The half-length PCIe Gen3 x16 board includes 4 × QSFP28 ports, a Gidel PHS connector for daughterboards, and 19 GPIOs for peripheral control. Furthermore, the PHS enables up to 128 Gb/s Rx/Tx, ensuring seamless integration with 8× CoaXPress-12 cameras via a Gidel CXP daughterboard. Consequently, the Proc1C10N is well-suited for real-time vision and edge AI applications. Development Tools Supported by Gidel’s advanced development suite, the Proc1C10N FPGA accelerator streamlines integration and shortens development cycles. Moreover, it supports C and HDL-based design, reducing engineering effort, enhancing reliability, and accelerating time-to-market. Why Choose the Proc1C10N FPGA Accelerator? Embedded Tensor blocks for optimized AI performance HBM2 memory for 10X more DRAM and SRAM bandwidth 143 INT8 TOPS / FP16 TFLOPS for high-demand AI workloads Compact PCIe design for versatile system integration For more accelerator card options, visit FPGA Compute Acceleration - Gidel Target applications: Broadcasting, Image-Processing and Video Analytics: grabbing from 100+ high-bandwidth sensors with real-time image processing, compression and AI application, all running on a single FPGA. Security: deep packet inspection, fraud detection, etc. 5G and Radar: high-bandwidth real-time edge computing Natural Language Processing: speech recognition and speech synthesis --- - Published: 2024-05-13 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc10a-40-gige-card-smart-nic/ - Software Types: Imaging & Vision - Product categories: FPGA Accelerator Cards High-Performance GigE Card Frame Grabber: Proc10A-40GigE The Proc10A-40GigE is a high-performance GigE card designed for real-time image acquisition, processing, and compression in demanding multi-camera vision environments. Powered by Altera Arria 10 FPGA technology, it supports up to 4 × 10 GigE Vision cameras natively and can also scale to dozens of synchronized cameras via a network switch. Furthermore, with 33 GB of on-board memory, it guarantees zero frame loss, ultra-low latency, and negligible CPU load, thereby making it ideal for mission-critical applications. Performance and Real-Time Image Processing The Proc10A-40GigE is available as a plug-and-play GigE card or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera GigE Card Gidel’s InfiniVision architecture addresses critical multi-camera challenges, including bandwidth, synchronization, connectivity, and scalability. Consequently, the Proc10A-40GigE GigE card supports up to 4 × 10 GigE Vision cameras directly and can manage large-scale synchronized setups via switches. A PCIe Gen3 x8 interface ensures CPU-free, ultra-fast data transfer, while on-board 33 GB buffers enhance acquisition stability and enable real-time FPGA-based image processing. As a result, the Proc10A-40GigE provides reliable performance in high-speed, high-resolution imaging systems. Flexible Operating Modes The Proc10A-40GigE supports two operating modes selectable via firmware: InfiniVision: Ideal for synchronized multi-camera setups, combining all data—even across multiple cards—into a single buffer with dynamic resolutions and formats. ProcFG: Tailored for precision applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the Proc10A-40GigE adapts seamlessly to a variety of workflows, from complex multi-camera systems to streamlined single-camera operations. SDK and Development Tools The Proc10A-40GigE is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for streamlined integration. Additionally, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling developers to customize data flows, real-time processing, and compression pipelines with ease. Consequently, they can create optimized, application-specific solutions faster and with reduced risk. Why Choose the GigE Card Proc10A-40GigE? Supports up to 4 × 10 GigE Vision cameras, scalable via switches. FPGA-based real-time processing with HDR, white balance, and gamma correction. Dynamic ROI compression for storage and bandwidth efficiency. Flexible operating modes for multi-camera and precision setups. Advanced SDK and ProcVision Suite for rapid development and integration. Looking for a lower-power GigE Vision option? Visit HawkEye-20GigE. Need higher-bandwidth GigE Vision card option? Check out Proc1C10M-120GigE. For a GigE Vision card with AI option? Visit Proc1C10N-120GigE For a Jetson-based GigE Vision solutions, see FantoVision20-GigE, FantoVision20 and FantoVision40 Edge Computer Vision Systems. --- - Published: 2023-08-16 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/improved-snr-real-time-lossless-compression/ - Product categories: Development Tools for Imaging & Vision Applications, Image Compression Options, GIL - Gidel Imaging Libraries (IPs) Gidel’s Quality+ lossless Compression Alternative for High-Speed Imaging & Vision Gidel’s Quality+ compression is an FPGA-based real-time compression for Color Filter Array (CFA – e. g. , Bayer), Monochrome, and RGB images and videos. Designed for high-speed, high-bandwidth imaging, Q+ achieves up to 10:1+ compression ratios while preserving original image quality. Unlike conventional methods, such as visually lossless, that compromise fidelity, Quality+ maintains the original SNR, replacing unnecessary noise with compression-efficient data to maximize bandwidth efficiency without quality degradation. With on-the-fly adaptive training, Q+ continuously optimizes compression for each video stream in real time. Operating entirely on all Gidel's FPGA Frame Grabbers systems, it removes CPU/GPU load, supporting gigapixel-per-second throughput with near-zero latency (under one frame). Ideal for High-Bandwidth Imaging & Vision Systems, such as medical imaging, surveillance, and defense, Gidel’s Quality+ offers a powerful alternative to traditional lossless cutting data rates, reducing storage needs, and preserving image integrity in real time. --- - Published: 2023-07-10 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/hawkeye-20gige-frame-grabber/ - Software Types: Imaging & Vision - Product categories: GigE Vision Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel HawkEye-20GigE: Dual 10 GigE Frame Grabber The HawkEye-20GigE is a high-performance GigE frame grabber designed for real-time image acquisition, processing, and compression in demanding multi-camera vision applications. Powered by Altera Arria 10 FPGA technology, it supports up to 2 × 10 GigE Vision cameras directly and can scale to multiple synchronized cameras via a network switch. With dual SFP+ ports delivering 20 Gb/s bandwidth and a low-profile PCIe form factor, it guarantees zero frame loss, ultra-low latency, and negligible CPU load, making it ideal for mission-critical environments. Performance and Real-Time Image Processing The HawkEye-20GigE is available as a plug-and-play GigE frame grabber or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera GigE Frame Grabber Gidel’s InfiniVision architecture addresses critical multi-camera challenges, including bandwidth, synchronization, connectivity, and scalability. Consequently, the HawkEye-20GigE supports dual 10 GigE Vision interfaces and can manage larger synchronized camera networks via switches. A PCIe Gen3 x8 interface ensures CPU-free, ultra-fast data transfer, while FPGA-based on-board buffers enhance acquisition stability and enable real-time image processing. As a result, the HawkEye-20GigE delivers reliable, deterministic performance in high-speed, high-resolution vision systems. Flexible Operating Modes The HawkEye-20GigE supports two operating modes, selectable via firmware, allowing system designers to adapt the frame grabber to different GigE Vision workflows and acquisition requirements. InfiniVision: Ideal for synchronized multi-camera setups, combining all data—even across multiple cards—into a single buffer with dynamic resolutions and formats. ProcFG: Tailored for precision applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the HawkEye-20GigE frame grabber adapts to a wide range of GigE Vision workflows, from complex multi-camera AOI systems to single-camera applications that demand reliable, high-performance, and deterministic image acquisition. SDK and Development Tools The HawkEye-20GigE is supported by Gidel’s SDK, offering intuitive GUIs and APIs for streamlined system integration. Additionally, the ProcVision Suite provides advanced FPGA programming, debugging, and validation tools. Consequently, developers can rapidly customize data flows, implement real-time processing, and optimize compression pipelines, reducing development time and risk. Why Choose the HawkEye-20GigE GigE Frame Grabber? 20 Gb/s acquisition via dual 10 GigE Vision interfaces. FPGA-based real-time processing with HDR, white balance, and gamma correction. Dynamic ROI compression for efficient storage and bandwidth use. Scalable InfiniVision architecture for synchronized multi-camera systems. Advanced SDK and ProcVision Suite for rapid development and integration. Looking for a higher-bandwidth GigE Vision card options? Check out Proc10A-40GigE and Proc1C10M-120GigE. Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE For a Jetson-based GigE Vision solutions, see FantoVision20-GigE, FantoVision20 and FantoVision40 Edge Computer Vision Systems. --- - Published: 2023-06-29 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/lossless-compression/ - Software Types: Compression IP's - Product categories: Development Tools for Imaging & Vision Applications, Image Compression Options, GIL - Gidel Imaging Libraries (IPs) Gidel’s lossless Image Compression IP targets FPGA-based Imaging & Vision applications. This lossless image compression IP performs real-time compression for Color Filter Array (CFA – e. g. , Bayer), Monochrome, and RGB images and videos. It supports multi-camera/sensor systems at pixel clock rates exceeding 1 Gpixel/s, using minimal FPGA resources and power. In real-world video tests, it achieves a 1:2. 3 compression ratio at 8 bits/pixel. Higher bit configurations are available upon request. The IP integrates seamlessly with Gidel’s comprehensive eco-system, enabling tailored solutions with image processing, vision algorithms, and concurrent recording. Recording can also be enhanced by Gidel’s CamSim playback system. Two compression modes are available: Frame compression – compress individual images. Video compression – compress video using I and P frames. Compression can be optimized via pre-training on sample image data or on-the-fly training from real-time data. --- - Published: 2023-06-29 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/jpeg-encoder/ - Product categories: Development Tools for Imaging & Vision Applications, Image Compression Options, GIL - Gidel Imaging Libraries (IPs) Gidel’s real-time JPEG encoder delivers high-performance JPEG compression directly on FPGA. This JPEG encoder features fast processing, ultra-low latency, and compact silicon utilization—ideal for both small FPGAs handling high-performance camera streams or multiple parallel instances on larger devices. The IP includes a host interface and API suite for easy software integration. The encoder supports YCbCr input with optional conversion from RGB or Monochrome formats. Compression ratio is adjustable, enabling the right balance between storage and image quality. Operates at 8 bits/component, with higher bit-depth options available on request. Example performance: 4:2:2 encoding at 540 MPixels/s and up to 1. 84 GPixels/s, with latency as low as 130 μs. Additional Compression IPs – Lossless & Quality+ Beyond JPEG, Gidel offers FPGA-based Lossless Compression IP for preserving full image data with zero quality degradation and Quality+ Compression IP, which enhances signal-to-noise ratio while reducing bandwidth and storage needs. Both IPs integrate seamlessly with Gidel’s FPGA solutions for Imaging & Vision, providing real-time performance and minimizing host CPU load. --- - Published: 2023-03-25 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/camera-link-simulator/ - Software Types: CamSim-CL - Product categories: Development Tools for Imaging & Vision Applications, GIL - Gidel Imaging Libraries (IPs) CamSim-CL: Camera Link Simulator The CamSim-CL is a high-performance Camera Link simulator designed for testing and validating imaging systems and Frame Grabbers. Fully compliant with Camera Link v2. 0, it generates test patterns and video streams that accelerate development, ensure robust system validation, and reduce time-to-market. Performance and Simulation Capabilities The CamSim-CL supports all Camera Link v2. 0 configurations and delivers unmatched flexibility for developers. It transmits BMP and RAW image files as well as grayscale and color test patterns using its built-in generator. Moreover, users can program image timing and data parameters through an intuitive GUI, providing full control over simulation accuracy and flexibility. As a result, developers gain both precision and efficiency during testing. Flexible Development Tools The CamSim-CL offers a complete development environment: Application Software: GUI-based control for transmitting images, configuring parameters, defining timing, and displaying results. API Methods: A robust set of APIs for Windows and Linux, enabling tailored simulator applications. User-Configurable CC Lines: Programmable Camera Control lines for versatile triggering and synchronization. In addition, these tools ensure seamless integration into diverse workflows and simplify the process of creating custom test setups. Boosting Productivity and Reducing Costs By enabling simulation in a low-cost lab environment, the CamSim-CL eliminates reliance on expensive cameras during early-stage development. In addition, its data-flow repetition capability ensures reproducible testing, allowing engineers to validate algorithms and quickly identify and resolve rare bugs. Consequently, teams gain higher productivity and stronger confidence in their imaging systems. Why Choose the CamSim-CL? (Camera Link Simulator) Fully compliant with Camera Link v2. 0. Flexible test pattern generation with BMP/RAW and color/grayscale options. FPGA-based transmission for accurate, repeatable simulations. GUI and API support for fast customization. Cost-effective solution for developing and validating imaging pipelines. The CamSim-CL provides engineers with a reliable, flexible, and cost-effective Camera Link simulator built to streamline imaging system development. Need a Camera Link frame grabber? Check out the HawkEye-CL Grabber For a Jetson-based Camera Link grabber solutions, see FantoVision20-CL and FantoVision20 Edge Computers. Looking for a CoaXPress Camera Simulator solution? visit CamSim-X. --- - Published: 2023-03-24 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/tiny-fpga-modules/ - Software Types: Imaging & Vision - Product categories: Mini FPGA Modules FDB Series: Tiny FPGA Modules for High-Performance Embedded Systems The FDB series includes FDB16 (49 × 54 mm), FDB27 (58 × 58 mm), and FDB66 (58 × 58 mm). These modules rank among the tiniest FPGA modules available on the market today, making them ideal for custom PCIe-based or standalone, space-constrained systems. Moreover, their ultra-compact form factor enables seamless integration into embedded designs while maintaining full performance capability. Performance and Memory in the FDB Tiny FPGA Modules Each FDB module uses an Altera Arria 10 GX FPGA, supports up to 10 GB DRAM at 24 GB/s, and includes 16 × 14. 2 Gb/s transceivers (10 full duplex plus 2 RX only). Consequently, this tiny FPGA platform delivers high performance at a competitive price. In addition, the robust design supports mission-critical tasks and long-term deployment. Therefore, the platform suits applications that require efficiency, durability, and scalability. Real-Time Image Processing Gidel’s FDB ultra-light FPGA modules enable real-time image acquisition, preprocessing, and enhancement directly at the edge — ideal for drones, gimbals, UAV payloads, robotics, and compact embedded systems. All processing is powered by Gidel’s modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Integrated Vision Architecture for Embedded FPGA Processing Gidel’s vision architecture, implemented within the FDB tiny FPGA modules, supports both the InfiniVision multi-camera vision system and the ProcFG deterministic image acquisition system. Together, they address critical embedded vision challenges, including bandwidth handling, synchronization, connectivity, and system scalability. InfiniVision enables flexible, synchronized multi-camera acquisition across large sensor arrays, while ProcFG provides a deterministic acquisition model optimized for fixed timing, guaranteed frame capture, and line-scan–oriented pipelines. This architectural flexibility allows the FDB platform to manage multiple high-speed data sources, merge parallel sensor inputs, and maintain predictable real-time behavior. On-module FPGA memory, advanced buffering, and deterministic dataflow control ensure stable acquisition and enable real-time image processing. As a result, FDB modules deliver reliable and predictable performance, even in compact, space-constrained, high-resolution embedded systems. Flexible Integration Options The FDB modules adapt to diverse integration needs. They can operate as standalone embedded processing engines inside miniature systems or as part of a fully customized solution incorporating on-board FPGA image enhancement, real-time compression, precise multi-sensor synchronization, and advanced I/O control. As a result, the FDB series provides exceptional flexibility and scalability for any embedded imaging or vision architecture. SDK, Development Tools, and Integration The FDB modules are supported by Gidel’s SDK with intuitive GUIs and APIs for fast system integration. The ProcVision Suite provides advanced FPGA programming, debugging, and validation tools, enabling rapid customization of data flows and real-time processing pipelines. In addition, the FDB series features an advanced multi-port DRAM controller that splits memory into up to 16 parallel logical banks with simultaneous access. Each module is supplied with a PCIe carrier board and development utilities, allowing engineers to begin testing immediately. As a result, development cycles are shorter, reliability is higher, and time-to-market is significantly improved. Why Choose the FDB modules? Ultra-compact footprints: FDB16 (49 × 54 mm), FDB27/FDB66 (58 × 58 mm). Extremely light: FDB16 (30g), FDB27/FDB66 (35g). Altera Arria® 10 FPGA for mid-range processing power. Up to 10 GB DRAM @ 24 GB/s with 16 high-speed transceivers. Tiny FPGA design optimized for embedded and space-limited systems. Complete development environment with carrier board and advanced tools. For larger FPGA modules with even greater performance, explore the Proc10M and Proc10N modules. --- - Published: 2023-03-23 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/low-power-accelerator-board/ - Software Types: FPGA Compute Acceleration - Product categories: FPGA Accelerator Cards HawkEye: Low Power Accelerator Board The HawkEye™ is a low-profile, low power accelerator board built on Altera Arria 10 GX FPGA technology. Designed for compact, power-sensitive environments, it combines robust computational performance with exceptional energy efficiency. The HawkEye delivers up to 480K logic elements (LEs), IEEE-compliant floating-point capability, and peak data transfer rates of 28 Gb/s through 2 × SFP+ links. With its PCIe Gen3 x8 host interface and on-board memory up to 18 GB DDR4, the HawkEye provides a powerful yet efficient solution for modern embedded and industrial computing applications. Performance and Memory The HawkEye integrates 1–2 GB DDR4, embedded SRAM, and up to 16 GB DDR4 SoDIMM (for larger FPGA devices), supporting 48 parallel memory ports for maximum bandwidth utilization. As a result, it offers high-throughput data handling and low-latency operation while maintaining exceptional power efficiency, starting at less than 12 W. Connectivity and Expansion Options The HawkEye features 2 SFP+ links providing up to 28 Gb/s, alongside a variety of I/O options including RS422, Opto-coupler, external clock, LVDS, LVTTL (3V), and 30V/0. 9A output. Furthermore, the platform can operate either as a PCIe-based compute accelerator or in stand-alone mode, delivering flexibility for diverse deployment scenarios. Consequently, it is ideal for applications demanding reliability and low power in a compact footprint. Optional SoC Capability The HawkEye family also includes an SoC variant with a dual-core ARM processor based on Arria® 10 GX devices. In addition, a MicroSD slot supports large program images for fully stand-alone operation, enhancing versatility in embedded use cases. Development Tools and Reliability Supported by Gidel’s advanced development suite, the HawkEye low power accelerator board simplifies system integration and accelerates deployment. Moreover, the platform has been engineered for high reliability with an MTBF exceeding 1 million hours, ensuring long-term dependability in mission-critical environments. Why Choose the HawkEye Accelerator Board? Altera Arria® 10 FPGA with up to 480K logic elements Under 12 W power consumption for energy-efficient performance Up to 18 GB DDR4 memory with 48 parallel ports 28 Gb/s connectivity via dual SFP+ and PCIe Gen3 x8 SoC variant with dual-core ARM processor and stand-alone operation High reliability with MTBF beyond 1 million hours For more accelerator card options, visit FPGA Compute Acceleration - Gidel Application examples: Network Security, Processing and Analysis DSP and High-Performance Reconfigurable Computing (HPRC) Computational Finance and High Frequency Trading (HFT) Deep Packet Inspection Life Science Applications Data Analytics Surveillance, Machine Vision, and Imaging --- - Published: 2023-03-23 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/fpga-for-ai/ - Software Types: Imaging & Vision - Product categories: Mini FPGA Modules Proc10N: Compact FPGA for AI and High-Performance Embedded Systems The Proc10N™ is a compact FPGA for AI module powered by the Altera Stratix® 10 NX FPGA. It delivers exceptional performance for AI acceleration, compute-intensive processing, and low-latency edge systems. With integrated Tensor Blocks, HBM2 memory, and high-bandwidth data interfaces, the Proc10N offers unparalleled throughput for high-speed embedded designs. Moreover, its compact form factor ensures seamless integration into advanced embedded platforms while maintaining maximum compute capability. Performance and Memory in the Proc10N Module Each Proc10N module integrates HBM2 memory, providing 10× higher DRAM/SRAM bandwidth compared to discrete DDR4 and QDR technologies. It also delivers 143 INT8 TOPS / FP16 TFLOPS through dedicated Tensor Blocks and offers 1,600 Gb/s of customizable I/O for extreme data throughput. Consequently, the Proc10N delivers industry-leading compute density at a competitive SWaP profile. Additionally, its robust hardware architecture ensures reliable operation in demanding, mission-critical environments and provides a long-term, cost-efficient solution for complex embedded systems. Therefore, it is ideal for applications requiring deep learning, real-time inference, high-bandwidth acquisition, and deterministic system behavior. Real-Time Image Processing Even though the Proc10N is designed for AI and high-bandwidth compute applications, it fully supports Gidel’s image-processing ecosystem for systems that require real-time acquisition and enhancement. All processing is powered by Gidel’s modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Integrated Vision Architecture for Embedded FPGA Processing Gidel’s vision architecture, implemented on the Proc10N FPGA modules, supports both the InfiniVision multi-camera vision system and the ProcFG deterministic image acquisition system. Together, they address high-bandwidth acquisition, synchronization, buffering, and scalable processing requirements in demanding vision platforms. InfiniVision enables flexible, synchronized acquisition across large camera arrays and multi-stream configurations, while ProcFG provides a deterministic acquisition model optimized for fixed timing, guaranteed frame capture, and line-scan–oriented pipelines. This dual approach allows Proc10N module to handle multiple high-speed data sources, merge parallel sensor inputs, and maintain predictable real-time behavior under sustained load. With high-performance FPGA resources, on-board memory, and deterministic dataflow control, the Proc10N module support stable acquisition and real-time image processing at scale. As a result, they deliver reliable and predictable performance in high-throughput, high-resolution vision systems where bandwidth density and timing control are critical. Flexible Integration Options The Proc10N adapts to diverse integration needs. It can operate as a standalone AI/processing engine or as part of a fully customized solution including FPGA-based image enhancement, real-time compression, multi-sensor aggregation, and advanced I/O control. As a result, the Proc10N provides exceptional flexibility and scalability for high-bandwidth vision, AI, and sensing architectures. SDK, Development Tools, and Integration The Proc10N is supported by Gidel’s SDK, providing intuitive GUIs and APIs for streamlined system integration. Additionally, the ProcVision Suite offers advanced FPGA programming, debugging, and validation tools. Consequently, developers can rapidly build custom dataflows, AI pipelines, and high-bandwidth processing systems while reducing development time and integration risk. The module also benefits from Gidel’s advanced multi-port memory architecture, enabling efficient access to HBM2 resources and supporting hundreds of simultaneous operations. Furthermore, each module is supported by Gidel or customer-designed carrier boards, enabling immediate system bring-up and rapid prototyping. As a result, development cycles are shortened, reliability is improved, and time-to-market is accelerated — making the Proc10N ideal for fast-paced, mission-critical industries. Why Choose the Proc10N? (FPGA for AI module) Altera Stratix® 10 NX FPGA with embedded Tensor Blocks. HBM2 memory delivering 10× higher DRAM/SRAM bandwidth. 143 INT8 TOPS / FP16 TFLOPS for state-of-the-art AI workloads. 1,600 Gb/s customizable I/O for high-throughput applications. InfiniVision IP for synchronized acquisition from 100+ sensors. Compact design suitable for advanced embedded/edge systems. For smaller FPGA modules, see the FDB series. --- - Published: 2023-03-23 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/small-fpga-module/ - Software Types: Imaging & Vision - Product categories: Mini FPGA Modules Proc10M: Small FPGA Module for High-Performance Embedded Systems The Proc10M™ is a compact, high-performance FPGA module designed for embedded and edge computing applications. Powered by the Altera Stratix® 10 MX FPGA, it delivers up to 10× higher memory bandwidth than traditional DDR4/QDR systems. Moreover, it integrates 300 GB/s DRAM throughput, up to 128 GB DDR4 on the carrier, and 1,600 Gb/s I/O bandwidth, ensuring seamless integration into high-bandwidth embedded designs while providing exceptional processing capability. Performance and Memory in the Proc10M Module Supporting transceiver speeds up to 26 Gb/s and up to 374 FPGA I/Os, the Proc10M offers extreme I/O flexibility for high-speed embedded systems. Consequently, it delivers outstanding data throughput in a compact footprint of 97. 4 × 101 mm. Additionally, its robust hardware architecture ensures reliable operation in demanding environments and provides a cost-efficient solution for long-term deployment. Therefore, it is well-suited for applications requiring high bandwidth, real-time processing, and scalable embedded compute. Real-Time Image Processing Like all Gidel FPGA modules, the Proc10M supports the full suite of real-time imaging pipelines for systems that require on-module enhancement or compression. All processing is powered by Gidel’s modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Integrated Vision Architecture for Embedded FPGA Processing Gidel’s vision architecture, implemented on the Proc10M FPGA modules, supports both the InfiniVision multi-camera vision system and the ProcFG deterministic image acquisition system. Together, they address high-bandwidth acquisition, synchronization, buffering, and scalable processing requirements in demanding vision platforms. InfiniVision enables flexible, synchronized acquisition across large camera arrays and multi-stream configurations, while ProcFG provides a deterministic acquisition model optimized for fixed timing, guaranteed frame capture, and line-scan–oriented pipelines. This dual approach allows Proc10M module to handle multiple high-speed data sources, merge parallel sensor inputs, and maintain predictable real-time behavior under sustained load. With high-performance FPGA resources, on-board memory, and deterministic dataflow control, the Proc10M module support stable acquisition and real-time image processing at scale. As a result, they deliver reliable and predictable performance in high-throughput, high-resolution vision systems where bandwidth density and timing control are critical. Flexible Integration Options The Proc10M integrates easily into diverse system architectures. It can serve as a standalone processing engine or as part of a customized solution featuring FPGA-based enhancement, real-time compression, synchronized acquisition, and advanced I/O control. As a result, the Proc10M provides exceptional flexibility and scalability for embedded vision, sensing, and high-bandwidth applications. SDK, Development Tools, and Integration The Proc10M is supported by Gidel’s SDK and ProcVision Suite, providing intuitive GUIs, APIs, debugging, programming, and validation tools. Consequently, developers can rapidly design custom pipelines, optimize FPGA resources, and accelerate integration with reduced engineering risk. The Proc10M also benefits from Gidel’s advanced DRAM/memory architecture and is fully compatible with Gidel or customer-designed carrier boards, enabling immediate system start-up and rapid prototyping. As a result, teams can shorten development cycles, improve reliability, and accelerate time-to-market for high-bandwidth embedded applications. Why Choose the Proc10M? Altera Stratix® 10 MX FPGA for superior performance. 300 GB/s DRAM throughput with up to 128 GB DDR4. 1,600 Gb/s I/O for high-bandwidth systems. Compact 97. 4 × 101 mm footprint for space-constrained designs. Transceiver speeds up to 26 Gb/s and 374 I/Os. For an FPGA module ideal for AI, visit the Proc10N page. For smaller FPGA modules, refer the FDB series page. --- - Published: 2023-03-22 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc10n-100-gige-vision-frame-grabber/ - Software Types: Imaging & Vision - Product categories: High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel Proc1C10N-120GigE: 100GigE Vision Frame Grabber for AI & High-Bandwidth Applications The Proc1C10N-120GigE is a high-performance 100GigE Vision Frame Grabber designed for AI-driven, compute-intensive, and low-latency applications. Built on Gidel’s Proc10N FPGA module with Altera Stratix 10 NX FPGA technology, it integrates embedded Tensor blocks and HBM2 memory, delivering 143 INT8 TOPS / FP16 TFLOPS of processing power. As a result, it can process and analyze data from 100+ GigE Vision cameras in real time, making it ideal for advanced vision-based AI systems. Performance and Real-Time Image Processing The Proc1C10N-120GigE is available as a plug-and-play 100+ GigE Vision frame grabber or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera 100GigE Vision Frame Grabber Gidel’s InfiniVision architecture enables deterministic, synchronized acquisition from 100+ GigE Vision cameras. It manages bandwidth, connectivity, and scalability in large-scale systems. A PCIe Gen3 x16 host interface ensures ultra-fast data transfer, while 4 × QSFP28 ports provide up to 400 Gb/s aggregated bandwidth. Additionally, on-board HBM2 and DDR4 memory guarantee consistent throughput, even under extreme data loads. Therefore, the Proc1C10N-120GigE seamlessly integrates into complex, high-performance multi-camera environments, providing unmatched scalability and reliability. Flexible Operating Modes The Proc1C10N-120GigE supports two operating modes selectable via firmware: InfiniVision: Ideal for synchronized multi-camera setups, combining all data—even across multiple cards—into a single buffer with dynamic resolutions and formats. ProcFG: Tailored for precision applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the Proc1C10N-120GigE adapts seamlessly to a variety of workflows, from complex multi-camera systems to streamlined single-camera operations. SDK and Development Tools The Proc1C10N-120GigE is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for streamlined integration. Additionally, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling developers to customize data flows, real-time processing, and compression pipelines with ease. Consequently, they can create optimized, application-specific solutions faster and with reduced risk. Why Choose the Proc1C10N-120GigE? (100GigE Vision Frame Grabber) Support for multiple 100+ GigE Vision cameras with real-time synchronization. Embedded Tensor blocks for AI-driven performance and acceleration. HBM2 memory delivering 10X more DRAM and SRAM bandwidth. 143 INT8 TOPS / FP16 TFLOPS for on-board processing and inference. Up to 400 Gb/s I/O with PCIe Gen3 x16 and QSFP28 connectivity. Looking for a lower-power GigE Vision option? Visit HawkEye-20GigE and Proc10A-40GigE. Need higher-bandwidth GigE Vision card option? Check out Proc1C10M-120GigE. For a Jetson-based GigE Vision solutions, see FantoVision20-GigE, FantoVision20 and FantoVision40 Edge Computer Vision Systems. --- - Published: 2023-03-22 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc10m-100gige-frame-grabber/ - Software Types: Imaging & Vision - Product categories: GigE Vision Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel Proc1C10M-120GigE: 100GigE Frame Grabber for High-Bandwidth Vision Systems The Proc1C10M-120GigE is a high-performance 100GigE frame grabber designed for compute-intensive, high-throughput, and low-latency applications. Built on Gidel’s Proc10M FPGA module with Altera Stratix 10 MX FPGA technology, it delivers 10X more DRAM and SRAM bandwidth than conventional DDR4 and QDR solutions. As a result, it can capture, process, and manage data from 100+ GigE Vision cameras in real time, making it ideal for demanding industrial, scientific, and mission-critical imaging systems. Performance and Real-Time Image Processing The Proc1C10M-120GigE is available as a plug-and-play 100GigE frame grabber or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera 100GigE Frame Grabber Gidel’s InfiniVision architecture enables deterministic, synchronized acquisition from 100+ GigE Vision cameras. It manages bandwidth, connectivity, and scalability in large-scale systems. A PCIe Gen3 x16 host interface ensures ultra-fast data transfer, while 4 × QSFP28 ports provide up to 400 Gb/s aggregated bandwidth. Additionally, on-board HBM2 and DDR4 memory guarantee consistent throughput, even under extreme data loads. Therefore, the Proc1C10M-120GigE seamlessly integrates into complex, high-performance multi-camera environments, providing unmatched scalability and reliability. Flexible Operating Modes The Proc1C10M-120GigE supports two operating modes, selectable via firmware: InfiniVision: Designed for synchronized multi-camera setups, combining all incoming data—even across multiple cards—into a single unified buffer with dynamic resolutions and formats. ProcFG: Tailored for precision and line-scan applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the Proc1C10M-120GigE adapts effortlessly to a variety of workflows, from large-scale multi-camera systems to dedicated single-camera operations. SDK and Development Tools The Proc1C10M-120GigE is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for streamlined integration. Additionally, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling developers to customize data flows, real-time processing, and compression pipelines with ease. Consequently, they can create optimized, application-specific solutions faster and with reduced risk. Why Choose the Proc1C10M-120GigE? (100GigE Frame Grabber) Supports 100+ GigE Vision cameras with synchronized acquisition. Provides 10X more DRAM and SRAM bandwidth via Stratix 10 MX. Offers real-time FPGA-based processing, compression, and enhancement. Delivers up to 400 Gb/s I/O with PCIe Gen3 x16 and QSFP28. Compact, scalable PCIe-based design for high-throughput systems. Looking for a lower-power GigE Vision options? Check out HawkEye-20GigE and Proc10A-40GigE. Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE For a Jetson-based GigE Vision solutions, see FantoVision20-GigE, FantoVision20 and FantoVision40 Edge Computer Vision Systems. --- - Published: 2023-03-22 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/multi-camera-vision-system/ - Product categories: PRODUCTS, Development Tools for Imaging & Vision Applications, GIL - Gidel Imaging Libraries (IPs) InfiniVision: Scalable Multi-Camera Vision System InfiniVision is a high-performance multi-camera system that powers Gidel’s scalable Imaging & Machine Vision platform, enabling synchronized acquisition, processing, and recording across up to 100+ sensors for applications that demand massive throughput and coordinated operation at scale. Scalable Architecture for Server and Edge InfiniVision is designed for both centralized server-based architectures and compact embedded deployments: Hardware Support: Deploy on Gidel PCIe Frame Grabbers, Mini Jetson Frame Grabber Systems, or PGA Modules. Control: Includes a ready-to-use GUI and a comprehensive API for full control over the FPGA-based acquisition and recording pipeline. Interfaces: Supports GigE Vision, CoaXPress, and Camera Link, with custom protocol support available upon request. Synchronized Dynamic Multi-Camera Acquisition and Recording As a multi-camera vision system, InfiniVision coordinates acquisition across large camera arrays. It keeps image data from all cameras aligned in time. This capability is critical for systems that rely on spatial or temporal correlation between multiple viewpoints. The platform handles very high aggregate throughput and high-speed recording. Some configurations can exceed 100,000 FPS for uncompressed image streams, depending on the hardware setup. FPGA resources distribute acquisition and preprocessing tasks, which helps maintain stable operation under sustained load as camera counts and data rates grow. Flexible Frame Handling and Inline Image Processing InfiniVision captures image data on the fly and does not enforce static frame definitions. Each camera, and even each frame, can use different resolutions, pixel formats, or dynamic ROIs. This approach allows designers to combine heterogeneous camera types and adapt acquisition behavior in real time. It also avoids reconfiguration or downtime. The acquisition path includes modular inline processing blocks such as Image Signal Processing (ISP) and image compression. These FPGA-based blocks help balance image quality, bandwidth, storage, and latency. They do so while preserving synchronized multi-camera operation. For applications that require strict determinism, guaranteed frame capture, or line-scan–oriented acquisition, Gidel also offers ProcFG. While InfiniVision focuses on flexible, large-scale, synchronized multi-camera systems, ProcFG is optimized for deterministic image acquisition pipelines where fixed timing, controlled buffering, and complete frame integrity take priority. Why Choose the InfiniVision Multi-Camera Vision System? InfiniVision targets vision systems that must scale to large camera counts. It maintains synchronized acquisition and reliable high-speed recording as systems grow. OEMs and system integrators can capture, process, and record large volumes of image data without rigid frame definitions or camera limitations. By combining flexible multi-camera acquisition, inline FPGA processing, and scalable recording in one architecture, InfiniVision reduces system complexity. It also lowers long-term integration risk. This approach lets designs evolve from early prototypes to fleet deployments while preserving software investment, acquisition behavior, and performance consistency. --- - Published: 2023-03-22 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc10s-accelerator-board/ - Software Types: FPGA Compute Acceleration - Product categories: FPGA Accelerator Cards Proc10S: Accelerator Board The Proc10S™ is a high-performance, scalable accelerator board built on Altera Stratix® 10 GX FPGA technology. Designed for compute-intensive, high-bandwidth, and low-latency workloads, it not only delivers peak single-precision performance of up to 10 TFLOPS but also ensures the flexibility needed for next-generation Data Centers applications. With 2. 8 million logic elements, 260 GB DDR4 memory, and an optional Quad-core 64-bit ARM Cortex-A53 processor, the Proc10S provides the processing power and adaptability required for evolving infrastructures. Performance and Memory This powerful accelerator integrates a 16-lane PCIe Gen3 interface with 25/14. 1 Gb/s SERDES transceivers for ultra-fast connectivity. Additionally, it supports up to 400 Gb/s throughput via 4 × QSFP28 or a combination of 2 × QSFP28, 2 × SFP28, and Gidel’s proprietary high-speed PHS connector. As a result, the Proc10S delivers unmatched bandwidth and responsiveness for HPC, storage, networking, and real-time data-processing environments. Connectivity and Expansion Options The Proc10S offers abundant I/O and expansion capabilities, ensuring seamless integration into diverse Data Centers infrastructures. Furthermore, its flexible architecture supports a wide range of applications, including broadcasting, video analytics, 5G infrastructure, and security tasks such as deep packet inspection and fraud detection. Consequently, it provides the scalability and versatility required to address the most demanding workloads. Development Tools Supported by Gidel’s advanced development suite, the Proc10S accelerator board streamlines integration and simplifies development. Moreover, it supports C and HDL-based workflows, reducing engineering effort, enhancing reliability, and shortening time-to-market for mission-critical solutions. In addition, its robust toolchain allows developers to maximize FPGA resources efficiently, ensuring long-term value in high-performance environments. Why Choose the Proc10S Accelerator Board? Altera Stratix® 10 FPGA with up to 2. 8 million logic elements. 260 GB DDR4 memory with optional ARM Cortex-A53 SoC. Up to 10 TFLOPS single-precision performance. 400 Gb/s total I/O bandwidth with PCIe Gen3 × 16 and QSFP28 ports. Ideal for Data Centers, HPC, 5G, security, and AI workloads. For more accelerator board options, refer to FPGA Compute Acceleration - Gidel Application examples: Digital Signal Processing (DSP) and High-Performance Reconfigurable Computing (HPRC) High Speed, Low-latency Networking and Network Analysis Life Science Applications Data Centers Linear Algebra and 3D Applications Computational Finance and HFT Data Analytics Deep Packet Inspection Surveillance, Machine Vision, and Imaging High Performance Acquisition Systems --- - Published: 2023-03-21 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/fpga-accelerator-card/ - Software Types: FPGA Compute Acceleration - Product categories: FPGA Accelerator Cards Proc10A: High-Performance FPGA Accelerator Card The Proc10A™ is a flexible, high-performance, low-power FPGA accelerator card built on Altera’s Arria® 10 FPGA. Designed for networking, and demanding data-processing workloads, it not only delivers robust computing power but also ensures excellent energy efficiency, making it ideal for modern systems. FPGA Accelerator Card Architecture and Memory Capabilities With up to fifteen 14. 2 Gb/s full-duplex transceivers and extensive memory options, the Proc10A FPGA accelerator card delivers outstanding I/O throughput and on-board processing performance. Additionally, its multi-level memory architecture includes: Up to 32 GB DDR3 ECC SODIMM for high-capacity requirements. On-board 1 GB DDR3 SDRAM for low-latency local operations. Dedicated FPGA memory blocks (M20K and MLABs) for real-time data handling. As a result, the Proc10A is particularly effective for low-latency, high-bandwidth storage, networking, and advanced imaging applications. In addition, its architecture enables engineers to meet demanding performance goals without sacrificing efficiency. High-Speed Connectivity in a Compute Accelerator The Proc10A integrates an 8-lane PCI Express Gen3 bridge, enabling fast and efficient co-processing between the host CPU and the FPGA. Furthermore, for applications requiring tightly coupled FPGA-CPU functionality, the Proc10A SoC family includes an embedded ARM processor based on Arria® 10 SoC FPGAs, providing developers with even greater design flexibility. Consequently, the Proc10A supports a wide range of high-performance, mission-critical applications. Development Tools for High-Performance FPGA Platforms Supported by Gidel’s advanced development suite, the Proc10A FPGA accelerator card simplifies integration and accelerates deployment. Moreover, it supports C and HDL-based workflows, reducing engineering time, improving system reliability, and shortening time-to-market. Therefore, teams can bring powerful FPGA-based solutions to market faster and with greater confidence. Why Choose the Proc10A FPGA Accelerator Card? Built on Altera Arria® 10 FPGA for reliable, proven performance. Up to 15 full-duplex 14. 2 Gb/s transceivers for high-speed data processing. Multi-level memory architecture with up to 32 GB DDR3 ECC SODIMM. PCIe Gen3 x8 connectivity for seamless FPGA-CPU interaction. SoC variant with ARM processor for tightly coupled processing. Backed by Gidel’s development tools, ensuring faster and more efficient delivery. For more accelerator card options, visit FPGA Compute Acceleration - Gidel Target applications: DSP (Digital Signal Processing) and HPRC (High Performance Reconfigurable Computing) High-speed, Low-latency Networking and Network Analysis Life Science Applications Linear Algebra and 3D Applications Computational Finance and HFT Data Analytics Deep Packet Inspection Surveillance, Machine Vision, and Imaging High Performance Acquisition Systems --- - Published: 2023-03-21 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/hawkeye-cxp-12-frame-grabber/ - Software Types: Imaging & Vision - Product categories: CoaXPress Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel HawkEye-CXP12: Quad CoaXPress 12 Frame Grabber The HawkEye-CXP12 is a high-performance Quad CoaXPress 12 Frame Grabber designed for real-time image acquisition, preprocessing, and compression in demanding multi-camera vision systems. Powered by Altera Arria 10 FPGA technology, it delivers up to 50 Gb/s bandwidth via 4 × CXP-12 links. As a result, it ensures zero frame loss, ultra-low latency, and negligible CPU load, making it ideal for mission-critical applications. Performance and Real-Time Image Processing The HawkEye-CXP12 is available as a plug-and-play CoaXPress grabber or as part of a complete system. This full system integrates image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera CoaXPress 12 Frame Grabber Gidel’s InfiniVision architecture addresses key multi-camera challenges, including bandwidth, synchronization, connectivity, and scalability. As a result, the HawkEye-CXP12, Quad CoaXPress 12 Frame Grabber supports up to four CXP-12 links, enabling 1–4 cameras to operate simultaneously with precision. In addition, a PCIe Gen. 3 x8 interface delivers CPU-free, ultra-fast data transfer, while on-board buffers of up to 16 GB boost acquisition stability and real-time image processing. Consequently, users achieve smooth, reliable performance in high-speed, high-resolution systems. Flexible Operating Modes The HawkEye-CXP12 can switch between InfiniVision Mode and ProcFG Mode via firmware update: InfiniVision: Ideal for synchronized multi-camera setups, combining all camera data—even across multiple cards—into a single buffer with support for dynamic resolutions and formats. ProcFG: Optimized for line-scan cameras, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the HawkEye-CXP12 adapts seamlessly to various workflows, supporting everything from dynamic multi-camera systems that require precise synchronization to streamlined single-camera operations demanding consistent performance. SDK and Development Tools The HawkEye-CXP12 is supported by Gidel’s SDK, which includes intuitive GUIs and APIs for streamlined integration. In addition, the ProcVision Suite provides FPGA programming, debugging, and validation tools, enabling rapid customization of data flows, image processing, and compression pipelines. Consequently, developers can create optimized, application-specific solutions faster and with reduced risk. Why Choose the HawkEye-CXP12 Quad CoaXPress 12 Frame Grabber? Up to 4 × CXP-12 links for 50 Gb/s bandwidth. Real-time preprocessing, HDR, white balance, and gamma correction. Dynamic ROI compression for bandwidth and storage efficiency. Flexible operating modes to support diverse camera setups. Advanced SDK and ProcVision Suite for rapid development. Looking for an Octo CoaXPress-12 Frame Grabber solution? see Proc1C10N-CXP12. Need an Octo CoaXPress-6 Frame Grabber, refer to Proc10A-CXP6. For a Jetson-based Quad CoaXPress-12 solution, visit FantoVision40-CXP12 Edge Computer Vision System. For a Jetson with Quad CXP12 & 10GigE Vision Interfaces, see FantoVision40 Edge Computer Vision System. --- - Published: 2023-03-21 - Modified: 2026-02-13 - URL: https://gidel-old.hostey.co.il/product/proc10a-cxp-6-frame-grabber/ - Software Types: Imaging & Vision - Product categories: CoaXPress Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel Proc10A-CXP: Octo CXP 6 Frame Grabber with Real-Time Image Processing The Proc10A-CXP is a high-performance Octo CXP 6 Frame Grabber designed for real-time image acquisition, processing, and compression in demanding multi-camera vision environments. Powered by Altera Arria 10 FPGA technology, it supports up to 8× CXP-6 links, delivering simultaneous acquisition from up to 8 cameras with 33 GB on-board memory. As a result, it ensures zero frame loss, ultra-low latency, and negligible CPU load, making it ideal for mission-critical applications. Performance and Real-Time Image Processing The Proc10A-CXP is available as a plug-and-play CXP frame grabber or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera CXP Frame Grabber Gidel’s InfiniVision architecture addresses critical multi-camera challenges, including bandwidth, synchronization, connectivity, and scalability. Consequently, the Proc10A-CXP, Octo CXP frame grabber supports up to 8x CXP-6 links, enabling 1–8 cameras to operate seamlessly with consistent high-speed throughput. Additionally, a PCIe Gen3 x8 interface ensures CPU-free, ultra-fast data transfer, while on-board 33 GB buffers enhance acquisition stability and enable real-time FPGA-based image processing. As a result, the Proc10A-CXP delivers reliable performance in high-resolution, high-speed imaging systems. Flexible Operating Modes The Proc10A-CXP supports two operating modes selectable via firmware: InfiniVision: Ideal for synchronized multi-camera setups, combining all camera data—even across multiple cards—into a single buffer with support for dynamic resolutions and formats. ProcFG: Optimized for line-scan cameras, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the Proc10A-CXP adapts to diverse workflows, from complex multi-camera systems to single-camera applications requiring consistent, high-performance acquisition. SDK and Development Tools The Proc10A-CXP is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for easy integration. Moreover, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling rapid customization of data pipelines, real-time processing, and compression workflows. Consequently, developers can deploy optimized, application-specific solutions faster and with reduced risk. Why Choose the Proc10A-CXP? (Octo CXP 6 Frame Grabber) Supports up to 8× CXP-6 links for high-bandwidth acquisition. FPGA-based real-time processing with HDR, white balance, and gamma correction. Dynamic ROI compression for storage and bandwidth efficiency. Flexible operating modes to suit multi-camera and line-scan setups. Advanced SDK and ProcVision Suite for rapid development and integration. Looking for an Octo CoaXPress-12 Frame Grabber solution? see Proc1C10N-CXP12. Need a compact Quad CXP-12 Frame Grabber? refer to HawkEye-CXP12. For a Jetson-based Quad CoaXPress-12 solution, visit FantoVision40-CXP12 Edge Computer Vision System. For a Jetson with Quad CXP12 & 10GigE Vision Interfaces, see FantoVision40 Edge Computer Vision System. --- - Published: 2023-03-21 - Modified: 2026-02-10 - URL: https://gidel-old.hostey.co.il/product/camera-link-frame-grabber/ - Software Types: Imaging & Vision - Product categories: High-Bandwidth PCIe Frame Grabbers, Camera Link Grabber, Modular Imaging Solutions by Gidel HawkEye-CL: Camera Link Frame Grabber The HawkEye-CL is a high-performance Camera Link Frame Grabber designed for real-time acquisition and FPGA-based image processing in demanding vision systems. Powered by the Altera Arria 10 FPGA, it is fully compliant with Camera Link Rev. 2. 0 and supports Camera Link 80-bit (DECA) acquisition with up to 17 GB of on-board memory and PCIe Gen3 x8 host connectivity. As a result, it delivers industry-leading bandwidth and reliability for applications where speed and precision are critical. Performance and Real-Time Image Processing The HawkEye-CL Camera Link Frame Grabber is available as a plug-and-play solution or as part of a complete system integrating image acquisition, modular FPGA-based preprocessing, and advanced real-time compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. InfiniVision Architecture – Multi-Camera solution for Camera Link Frame Grabber Built on Gidel’s InfiniVision architecture, the HawkEye-CL addresses common multi-camera challenges such as synchronization, bandwidth, and scalability. Furthermore, its FPGA-based design ensures deterministic data handling while enabling real-time preprocessing. A PCIe Gen3 x8 host interface provides CPU-free, ultra-fast transfer, while large on-board buffers (up to 17 GB) guarantee stable acquisition. As a result, the HawkEye-CL delivers reliable performance in high-speed, high-resolution vision environments. Flexible Operating Modes The HawkEye-CL supports two operating modes selectable via firmware: InfiniVision: Ideal for synchronized multi-camera setups, combining all data—even across multiple cards—into a single buffer with dynamic resolutions and formats. ProcFG: Tailored for precision applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed). As a result, the HawkEye-CL adapts seamlessly to a variety of workflows, from complex multi-camera systems to streamlined single-camera operations. SDK and Development Tools The HawkEye-CL is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for streamlined integration. Additionally, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling developers to customize data flows, real-time processing, and compression pipelines with ease. Consequently, they can create optimized, application-specific solutions faster and with reduced risk. Why Choose the Camera Link Frame Grabber HawkEye-CL? Camera Link Rev. 2. 0 compliant with 80-bit (DECA) acquisition. Up to 17 GB on-board memory with PCIe Gen3 x8 interface. FPGA-based processing with real-time compression and ROI offloading. 1+ GPixels/s encoding with Lossless, JPEG, and Quality+ options. Supported by the ProcVision Suite for streamlined customization and integration. Looking for CoaXPress or GigE Vision Frame Grabber cards? visit Gidel's frame grabbers. For a Jetson-based Camera Link solutions, see FantoVision20-CL and FantoVision20 Edge Computer Vision Systems. --- - Published: 2022-07-27 - Modified: 2026-03-25 - URL: https://gidel-old.hostey.co.il/product/jetson-frame-grabber/ - Software Types: FantoVision40 - Product categories: Mini Jetson Frame Grabber Systems, GigE Vision Frame Grabbers, CoaXPress Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Modular Imaging Solutions by Gidel FantoVision40: Jetson Frame Grabber (Quad CoaXPress-12 & 10GigE) The FantoVision40 is a rugged Jetson system with a fully integrated frame grabber. Based on the NVIDIA Jetson Orin NX, it captures and processes up to 4x CoaXPress 2. 1 (CXP‑12) links with PoCXP and an option for 4x 10 GigE Vision cameras in real-time. It merges high‑end image acquisition on an Arria 10™ FPGA with real‑time GPU processing on Jetson, enabling low‑latency recording, streaming, and Edge AI in an ultra‑compact form factor. Jetson Frame Grabber Performance and Real-Time Image Processing The FantoVision40 is available as a plug-and-play high-performance Jetson Frame Grabber system combining a CoaXPress-12 and 10GigE Vision frame grabber or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Flexible Development Tools Open architecture: split/chain processing between FPGA and GPU GPU development: CUDA | C/C++ and NVIDIA AI libraries on Jetson FPGA development: rapid pre‑processing deployment with ProcVision Suite Integrated Vision Acquisition and Processing Deploy a single compact node for acquisition, real-time pre-processing, Edge AI inference, and recording. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability. For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework. For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer. Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies. Why Choose the FantoVision40? Quad CXP‑12 links with PoCXP for long‑reach, robust cabling, grabbing and processing Up to 50 Gb/s aggregate input bandwidth FPGA‑plus‑GPU pipeline with Compression (. JPEG, Lossless, Quality+) option Real-Time High Dynamic Range (HDR) correction option Mini, rugged System for recording & streaming and Edge AI The FantoVision40 is the ideal choice when you need to use CoaXPress & 10GigE High-Speed cameras simultaneously —in a compact, low-latency Jetson platform. Looking for Jetson system with Quad CoaXPress-12 only? see FantoVision40-CXP12. Searching for Jetson system with Dual 10GigE Interface? visit FantoVision20-GigE. Looking for Jetson system with Camera Link Frame Grabber? see FantoVision20-CL. For Jetson Multi interfaces system with Camera Link & Dual 10GigE, refer to FantoVision20. For an Octo CoaXPress-12 Frame Grabber Card solution? see Proc1C10N-CXP12. Looking for a compact Quad CXP-12 Frame Grabber Card? visit HawkEye-CXP12. Looking for a GigE Vision Frame Grabber card options? Check out HawkEye-20GigE, Proc10A-40GigE and Proc1C10M-120GigE. Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE. --- - Published: 2022-07-23 - Modified: 2026-03-25 - URL: https://gidel-old.hostey.co.il/product/jetson-dual-interface-frame-grabber/ - Software Types: FantoVision20 - Product categories: Mini Jetson Frame Grabber Systems, GigE Vision Frame Grabbers, High-Bandwidth PCIe Frame Grabbers, Camera Link Grabber, Modular Imaging Solutions by Gidel FantoVision20: Jetson Dual Interface Frame Grabber (10GigE & Camera Link) The FantoVision20 is a rugged Jetson system with a fully integrated dual interface frame grabber. Based on the NVIDIA Jetson Orin NX / Xavier NX, it captures and processes from dual 10 GigE Vision and Camera Link (Deca | Full | Medium | Base | Dual Base) cameras simultaneously. It merges high-end image acquisition on an Arria 10™ FPGA with real-time GPU processing on Jetson, enabling low-latency recording, streaming, and Edge AI in an ultra-compact form factor. Jetson Dual Interface Grabber Performance and Real-Time Image Processing The FantoVision20 is available as a plug-and-play dual interface frame grabber system supporting Dual 10GigE Vision and Camera Link, or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (. JPEG, Lossless, Quality+). Inline enhancement features include: High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions. White Balance – Maintains color accuracy across variable lighting conditions. Dynamic Luminance Balance – Preserves consistent brightness under changing illumination. Gamma Correction – Optimizes brightness and contrast for improved clarity. Real-time compression with Dynamic ROI delivers: Extended recording times without compromising quality. Lower transmission bandwidth for efficient data handling. Accelerated offline compression, reducing storage needs and post-processing time. Flexible Development Tools Open architecture: split/chain processing between FPGA and GPU GPU development: CUDA | C/C++ and NVIDIA AI libraries on Jetson FPGA development: rapid pre‑processing deployment with ProcVision Suite Integrated Vision Acquisition and Processing Deploy a single compact node for acquisition, real-time pre-processing, Edge AI inference, and recording. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability. For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework. For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer. Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies. Why Choose the FantoVision20? Supports Dual 10GigE Vision plus Camera Link Deca | Full | Medium | Base | Dual Base grabbing and processing. Up to 26. 8 Gb/s aggregate input bandwidth FPGA‑plus‑GPU pipeline with Compression (. JPEG, Lossless, Quality+) option Real-Time High Dynamic Range (HDR) correction option Mini, rugged System for recording & streaming and Edge AI The FantoVision20 is the ideal choice when your workload lies on GigE Vision & Camera Link High Speed cameras in a compact, low-latency Jetson platform. Looking for Jetson system with Dual 10GigE only? see FantoVision20-GigE. Searching for Jetson system with Quad CoaXPress-12 interface? visit FantoVision40-CXP12. Looking for Jetson system with Camera Link Frame Grabber? refer to FantoVision20-CL. For Jetson Multi interfaces system with Quad CoaXPress-12 & optional 4× 10 GigE, see FantoVision40. Looking for a GigE Vision Frame Grabber PCIe card options? Check out HawkEye-20GigE, Proc10A-40GigE and Proc1C10M-120GigE. Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE. Looking for a Camera Link Frame Grabber PCIe card option? Check out HawkEye-CL. --- --- ## Applications - Published: 2025-06-16 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/drone-computer/ Drone Computer for Imaging & Vision Applications A drone computer must process data instantly. UAV missions demand low latency and high reliability. Therefore, Gidel FantoVision edge computers are built for real-time imaging at the edge. They combine a compact form factor, rugged construction, and FPGA-accelerated processing. As a result, UAVs can make fast decisions in the air. High-Bandwidth Multi-Camera Support Our Low SWaP systems are 13. 4 × 9 × 6 cm and 750 g. They fit easily into multirotor, fixed wing, and VTOL platforms. They also support 10GigE Vision, CoaXPress, and Camera Link. This enables synchronized multi-camera capture up to 40 Gb/s throughput. Therefore, they are ideal for: High-resolution imaging workflows Aerial inspection and surveying Real-time mapping and 3D reconstruction Situational awareness, defense, and ISR Search and rescue and environmental monitoring FPGA + AI Hybrid Edge Processing in Drone Computers FPGA pipelines handle deterministic real-time data flow while the NVIDIA Jetson performs onboard AI inference. This heterogeneous approach is designed to overcome common UAV vision bottlenecks such as excessive CPU load, unpredictable latency, bandwidth saturation between processing stages, and limited scalability as camera count or resolution increases. Up to 2 TB internal storage supports long autonomous missions and extended data capture when required. Flexible Drone Computer Architecture and Real-Time Image Enhancement All image signal processing runs inline on the FPGA to preserve deterministic, low-latency behavior. This includes debayering, non-uniformity correction (NUC), bad pixel correction (BPC), white balance, gamma correction, and dynamic luminance balancing. Gidel’s real-time HDR processing enhances visibility and contrast under challenging lighting conditions. To optimize bandwidth and storage, the FPGA also supports real-time data reduction using JPEG, Lossless, and Quality+ compression, along with region-of-interest extraction and scaling. These capabilities reduce data movement and prevent downstream processing bottlenecks without compromising image quality. Development and customization are supported through Gidel’s Software Development Tools, which enable developers to design, integrate, and optimize FPGA-based imaging and vision pipelines while maintaining full control over latency, determinism, and system behavior. Gidel provides a scalable, low-latency drone computer for edge imaging. We also offer Mini Powerful FPGA modules for even tighter SWaP constraints or advanced customization. This gives UAV integrators full flexibility while ensuring mission success and real-time decision-making. Need more information? Full Name Email Phone --- - Published: 2024-12-08 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/sorting-machines/ Scalable Vision Architecture for Optical Sorting Machines Modern optical sorting machines depend on advanced vision architectures to deliver high accuracy and consistent performance. As production lines become faster and more complex, vision systems must support higher resolutions and tighter timing constraints. Consequently, fixed-function designs often struggle to scale or adapt over time. Modular Infrastructure for Optical Sorting Machines Gidel provides a flexible vision infrastructure that allows system designers to build, enhance, or upgrade optical sorting machines using modular building blocks. These architectures rely on high-performance Frame Grabbers, which provide deterministic image acquisition and stable real-time processing. As a result, system performance can scale over time without requiring a complete redesign, while preserving predictable behavior and long-term flexibility. Deterministic Vision Processing for High-Speed Sorting In high-speed sorting machines, latency and synchronization are critical. Vision systems must process image data in real time while maintaining deterministic behavior. Otherwise, even small timing variations can reduce sorting accuracy. Deterministic Processing at High Throughput Gidel’s FPGA-based vision architecture is designed for predictable, real-time image processing. Moreover, hardware-based Compression IPs reduce data bandwidth while preserving the image fidelity required for accurate decisions: JPEG Encoder: High-speed standard compression. Lossless Compression: Bit-perfect data preservation. Quality+ Compression: Optimized balance of ratio and quality. As a result, high-speed sorting machines can scale throughput while maintaining deterministic, low-latency operation. Compact Architectures for Embedded Sorting Systems For space- and power-constrained environments, Gidel also supports compact sorting platforms using Mini Jetson Frame Grabbers. These systems combine deterministic FPGA-based vision processing with NVIDIA Jetson Modules, allowing sorting machines to balance throughput, accuracy, and system footprint. Optical Inspection Architecture for Sorting Machines Many systems combine inspection and sorting within a single platform. An optical inspection machine typically performs image analysis, defect detection, or classification before triggering sorting actions. However, inspection workloads can interfere with real-time behavior if they are not carefully managed. Custom FPGA Algorithm Development To address this, Gidel enables a unified vision architecture where inspection and sorting coexist efficiently. System designers can design, develop, and deploy custom imaging and vision algorithms directly on the FPGA using the ProcVision Suite. This approach provides full control over latency, precision, and processing flow. As a result, optical inspection machines can implement proprietary algorithms, optimize performance for specific materials or products, and maintain deterministic behavior even in demanding, high-speed environments. Learn more about Gidel’s real-world advantages in High-Speed AOI Machines: Enabling High-Speed AOI Machines | Gidel Need more information? Full Name Email Phone --- - Published: 2024-12-08 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/volumetric-imaging-augmented-reality/ Gidel provides a modular FPGA-based vision infrastructure designed to support real-time volumetric imaging and augmented reality applications. These systems enable synchronized capture and processing of data from multiple cameras. As a result, they can reconstruct three-dimensional scenes with high accuracy, low latency, and deterministic performance. Volumetric imaging places unique demands on vision architectures. In particular, multi-camera synchronization, sustained high bandwidth, and real-time processing must operate predictably. Otherwise, accurate 3D reconstruction and stable augmented reality overlays cannot be achieved. As system complexity grows, software-centric approaches often struggle to scale. Hardware Platforms for Volumetric Imaging & AR Gidel supports volumetric imaging system design with a portfolio of modular hardware building blocks. These offerings allow system integrators to tailor acquisition, processing, and deployment to the needs of each 3D capture and AR pipeline. A key component is Gidel’s InfiniVision multi-camera vision system. It enables deterministic grabbing and synchronization across large-scale camera arrays, including configurations exceeding 100 cameras. Depending on system requirements, developers can select from: High-Performance Frame Grabbers: For deterministic multi-camera acquisition. Mini Jetson Frame Grabbers: Combining Altera FPGA's and NVIDIA Jetson Orin NX for integrated processing at the source. Scalable FPGA Modules: For ultra-compact designs and deep customization. Real-Time FPGA Image Processing & Compression All FPGA processing runs inline to preserve low latency and predictable timing. This ensures image quality remains consistent across all views, which is essential for accurate volumetric alignment. Standard Processing Capabilities: Debayering, White Balance, and Gamma Correction. Non-Uniformity Correction (NUC) and Bad Pixel Correction (BPC). Dynamic Luminance Balancing and Real-Time HDR for mixed lighting. Bandwidth Optimization: To optimize storage, the FPGA supports real-time data reduction using JPEG, Lossless, and Quality+ compression, alongside region-of-interest extraction and scaling. High-Resolution Imaging with Deterministic Performance Volumetric imaging applications increasingly rely on high-resolution sensors to enable fine spatial detail and precise depth estimation. Gidel’s FPGA-based architecture handles these high-resolution workflows without introducing additional latency or timing jitter. By combining inline processing with deterministic data handling, the system maintains stable performance as image resolution and processing complexity increase. High-Bandwidth Recording Solutions Many volumetric imaging workflows require reliable recording of multi-camera streams for offline 3D reconstruction, algorithm validation, and post-session analysis. To address these needs, Gidel provides dedicated Recording Solutions. These recording platforms integrate with Gidel’s architecture to capture and store image streams deterministically, without disrupting real-time processing. As a result, volumetric imaging systems can support both live operation and high-quality offline reconstruction. Development Tools and Customization for volumetric imaging Development is supported through Gidel’s Software Development Tools. These tools enable developers to design, integrate, and optimize FPGA-based imaging pipelines. They provide fine-grained control over latency, data flow, and processing behavior, which is critical for advanced volumetric imaging and augmented reality systems. Need more information? Full Name Email Phone --- - Published: 2024-12-05 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/modular-medical-imaging/ https://youtu. be/wv3dPIv_4Cg Gidel delivers advanced medical imaging solutions built on FPGA-based image acquisition and processing architectures. These solutions address the demanding requirements of modern medical imaging systems, where real-time performance, high data throughput, and deterministic behavior are critical. By combining high-speed image acquisition, efficient memory management, and flexible processing pipelines, Gidel enables medical imaging systems to deliver precise, reliable, and actionable imaging results for clinical use. Gidel’s portfolio includes high-performance Frame Grabbers, Mini Jetson Frame Grabbers, and Powerful Mini FPGA Modules designed for embedded and clinical environments. Why FPGA Technology Matters in Medical Imaging Medical imaging applications demand consistent low latency, high-resolution data handling, and predictable system behavior. Gidel’s FPGA-based solutions provide real-time processing, high-throughput data handling, and a flexible architecture that integrates seamlessly into diverse medical imaging platforms. As a result, system designers can meet strict performance, reliability, and regulatory requirements while maintaining long-term system stability, even when working with multi-sensor, high-bandwidth imaging modalities. High-Resolution Imaging with Minimal Latency One of the key advantages of Gidel’s technology is its ability to handle high-resolution imaging data with minimal latency. This capability ensures the delivery of high-quality video streams that are essential for diagnostics, monitoring, and image-guided procedures. Gidel’s architectures support advanced imaging features such as HDR processing, real-time overlays, and feature extraction, all of which play a central role in modern medical imaging workflows. Compact and Power-Efficient System Design Gidel’s solutions combine a compact form factor with low power consumption, making them well suited for space-constrained and energy-sensitive environments. These include operating rooms, mobile imaging carts, and portable medical devices where thermal management and system size are critical. Mini FPGA modules and embedded vision platforms enable deterministic performance while meeting tight SWaP constraints. Real-World Medical Imaging Applications Advanced Diagnostic Imaging Devices In diagnostic imaging systems such as CT and MRI, Gidel’s technology accelerates image reconstruction by enabling high-speed data transfer and parallel processing. This improves overall system throughput and reduces the time required to generate clear, high-quality diagnostic images. ThermoMind Case Study – Early Breast Cancer Detection Multimodal, Radiation-Free Screening: ThermoMind’s Vision One device combines infrared, depth sensing, and AI to detect physiological changes linked to early-stage breast cancer. The system captures over 300 data points per scan and operates with no radiation, no contact, and no invasive procedures. High-Bandwidth Real-Time Imaging: Powered by Gidel’s FantoVision40-CXP12 edge computer and FPGA-based frame grabbers, the system acquires and processes multiple high-resolution sensor streams simultaneously. Up to 15 sensors capture data at 30–60 fps, while real-time FPGA Compression IPs eliminate acquisition bottlenecks. Compact, Deployable Medical Platform: This mini system architecture enables easy integration into space-constrained medical environments. Its performance and efficiency support global deployment, including multi-center clinical trials with leading medical institutions. Read the full article: Revolutionizing Breast Cancer Screening Device Laparoscopic Visualization Systems Gidel’s Proc10A-40GigE platform supports advanced laparoscopic systems such as 270 Surgical’s SURROUND SCOPE™, which provides a 270-degree field of view. Through efficient DRAM utilization, real-time image overlays, and uncompressed 4K video output over 12G-SDI, Gidel’s solution enhances surgical visualization and intraoperative decision-making. Real-Time Image-Guided Surgery Gidel’s medical imaging solutions enable real-time image overlays that assist surgeons during complex procedures. The FPGA-based architecture ensures deterministic, low-latency feedback, which is essential for maintaining precision and reducing procedural risk. Mini Jetson Frame Grabbers enable tight integration between image acquisition, FPGA processing, and GPU-based AI inference. Reliable Medical Imaging Solutions from Gidel System developers achieve greater efficiency by integrating Gidel’s customizable medical imaging solutions. These include frame grabbers, Mini Jetson Frame Grabbers, and compact FPGA modules. These capabilities contribute to improved patient outcomes and enhanced healthcare delivery Gidel’s Software Development Tools simplify system integration and FPGA configuration. This enables faster development cycles and easier long-term maintenance of medical imaging systems. Need more information? Full Name Email Phone --- - Published: 2023-03-28 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/embedded-fpga-solutions-for-embedded-vision/ Gidel’s embedded FPGA solutions address the growing demand for high-performance, compact, and power-efficient embedded systems. Gidel delivers a broad portfolio of modular embedded FPGA platforms, combining compact hardware building blocks with advanced software tools to support a wide range of embedded vision and computing applications. As a market leader in FPGA architectures and algorithms, Gidel enables both rapid deployment using off-the-shelf solutions and deeper customization for advanced users. Embedded Vision Applications Enabled by Embedded FPGA As processors become more powerful and increasingly miniaturized, Embedded Vision systems continue to expand into new application domains. These include industrial automation, automotive systems, drones, robotics, and portable devices. Thanks to advances in Embedded Computing and AI, applications that once required stationary and power-hungry PCs can now operate at the edge, integrated directly into vehicles, mobile platforms, or compact devices. Real-Time Image Processing IPs In many embedded vision systems, image quality and bandwidth efficiency are critical. Gidel provides a range of hardware-based Compression IPs optimized for real-time embedded imaging: JPEG Encoder: High-performance standard compression. Lossless Compression: Perfect preservation of raw data. Quality+ Compression: Efficient data reduction without compromising image fidelity. HDR IP: Real-time contrast enhancement for dynamic lighting conditions. Design Constraints in Embedded FPGA Systems Designers of embedded vision systems face strict constraints that drive system architecture decisions: SWaP (Size, Weight, and Power): Keeping systems compact and battery-friendly. Thermal Efficiency: Managing heat in enclosed spaces. Bandwidth: Handling massive data flows between internal hardware and the cloud. Gidel Embedded FPGA Platforms With more than 30 years of expertise in FPGA development and acceleration, Gidel helps system designers overcome these challenges. Gidel’s Embedded FPGA Modules and heterogeneous platforms provide deterministic performance while meeting tight SWaP budgets. Embedded Vision and AI at the Edge For edge vision and AI workloads, Gidel also offers Mini Jetson Frame Grabbers that tightly integrate embedded FPGA processing with GPU-based AI acceleration. Software Tools and Customization To further simplify development, Gidel provides comprehensive Software Development Tools that streamline FPGA programming, system integration, and performance optimization. Together, these embedded FPGA solutions enable faster development cycles, scalable system designs, and reliable deployment of embedded vision and AI systems at the edge. Need more information? Full Name Email Phone --- - Published: 2023-03-27 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/automation-vision-automatic-test-equipment/ Automation Vision enables modern Automatic Test Equipment (ATE) to test electronic systems and components with high precision. As a result, manufacturers, R&D teams, and maintenance organizations validate devices faster and more consistently. ATE systems perform functional tests, parametric measurements, visual inspection, and reliability tests as part of automated production and validation workflows. Why Automation Vision Matters in ATE Automation Vision improves how ATE systems acquire, analyze, and validate data. Therefore, vision-driven inspection increases accuracy while reducing manual intervention and test variability across complex, high-volume production environments. Operational Demands on Automation Vision Systems To meet production demands, high-performance ATE systems must satisfy strict operational requirements. Consequently, Automation Vision workloads require deterministic behavior and sustained throughput under continuous operation and tight timing constraints. Key Performance Criteria for ATE Vision Test coverage: Executes a wide range of vision-based tests to verify devices meet electrical, functional, and visual specifications. Speed and throughput: High-bandwidth acquisition and real-time processing reduce test cycle time while maintaining result accuracy. Reliability and accuracy: Deterministic system behavior ensures consistent and repeatable results across long production runs. Flexibility and scalability: Adapts to new test requirements, supports multiple device types, and scales with production demand. Real-Time Compression for Automation Vision Pipelines In Automation Vision–based ATE systems, image and data streams can quickly become a throughput bottleneck. To address this, Gidel integrates real-time FPGA-based compression directly into the acquisition pipeline. Gidel’s Compression IPs reduce data bandwidth during capture while preserving test-relevant image fidelity: JPEG Encoder: Standard compression for efficient storage. Lossless Compression: Perfect data preservation for critical analysis. Quality+ Compression: Optimized balance of ratio and fidelity. As a result, ATE systems can sustain higher frame rates, support more cameras in parallel, and stream or store data efficiently without introducing latency or non-deterministic behavior. Because compression runs in hardware on the FPGA, it offloads the CPU and ensures predictable timing. This capability is especially critical in high-volume production testing, long-duration reliability testing, and multi-camera inspection setups where deterministic throughput is mandatory. Boost Your ATE Performance with Automation Vision For this reason, ATE developers rely on Gidel’s expertise in FPGA acceleration to increase system throughput and shorten testing cycles. Gidel’s ready-to-use platforms reduce development effort and accelerate time to market, integrating efficiently into Automation Vision architectures: PCIe Frame Grabbers: High-bandwidth data acquisition for reliable, high-speed automated testing. Mini Jetson Frame Grabbers: Combining Altera FPGA and NVIDIA Jetson for smart ATE systems. Mini Powerful FPGA Modules: Off-the-shelf acceleration for compact, custom test equipment. Customization Tools for ATE Vision Pipelines Furthermore, Gidel’s Software Development Tools and customization services allow developers to tailor imaging and vision pipelines to specific ATE requirements. Consequently, systems achieve deterministic performance, long-term reliability, and scalable test architectures. Need more information? Full Name Email Phone --- - Published: 2023-03-27 - Modified: 2026-02-09 - URL: https://gidel-old.hostey.co.il/application/defense-imaging-solutions/ Gidel builds FPGA-based defense imaging solutions on a modular vision architecture that supports high-performance, mission-critical defense applications. These systems deliver deterministic behavior, high accuracy, and real-time responsiveness in demanding operational environments. Defense imaging systems must operate with extreme reliability while processing large volumes of visual data under strict timing constraints. They also need to remain adaptable, maintainable, and cost-effective throughout long deployment lifecycles. For this reason, modern defense platforms rely on scalable architectures that can evolve without complete system redesigns or extensive retraining. Gidel provides a flexible FPGA-based infrastructure for imaging and vision applications that require real-time image acquisition, processing, and signal handling. These capabilities support a wide range of defense systems, including surveillance, tracking, targeting, and secure communications. In these environments, predictable performance and long-term system stability are essential. Modular Vision Platforms for Defense Imaging Gidel structures its defense imaging infrastructure around modular building blocks that system designers can combine and scale to meet specific requirements: Edge AI Vision Computers: Compact, ruggedized systems for onsite inference combining Altera FPGA and NVIDIA Jetson modules. High-Performance Frame Grabbers: Supporting GigE Vision, CoaXPress, and Camera Link. Mini Powerful FPGA Modules: For tight SWaP constraints. Together, they support real-time, high-resolution vision pipelines in constrained environments. This modular approach allows defense imaging systems to scale, upgrade, or extend functionality as mission requirements evolve, without disrupting existing system behavior. Development Ecosystem and Long-Term System Flexibility To support efficient development and long-term maintainability, Gidel provides a comprehensive Software Development Tools ecosystem based on a modular design philosophy. This environment lets developers offload pixel-intensive image signal processing tasks to the FPGA. As a result, systems reduce CPU load and maintain deterministic real-time behavior. Using this approach, developers can assemble imaging and vision pipelines with real-time image processing functions executed inline on the FPGA: Preprocessing: Debayering, White Balance, and Gamma Correction. Correction: Non-Uniformity Correction (NUC) and Bad Pixel Replacement (BPR). Enhancement: Dynamic Luminance Balancing and real-time HDR processing. In addition, optional data optimization features such as Compression IPs (JPEG, Lossless, and Quality+), region-of-interest cropping, and scaling help defense imaging systems manage bandwidth and storage efficiently. High-Bandwidth Recording Solutions for Defense Applications Many defense imaging systems require reliable recording of high-resolution, high-frame-rate data for post-mission analysis, validation, and evidence retention. Common use cases include: ISR missions Multi-sensor fusion and tracking Target acquisition and assessment High-bandwidth recording for post-mission analysis To support these needs, Gidel provides dedicated Recording Solutions for high-bandwidth defense imaging workflows. These recording platforms integrate with Gidel’s modular FPGA-based vision architecture to capture and store high-rate image streams while preserving predictable system behavior. By combining real-time processing, optional data optimization, and scalable recording capabilities, Gidel supports both live operation and detailed offline analysis without disrupting the real-time imaging pipeline. Need more information? Full Name Email Phone --- - Published: 2023-03-23 - Modified: 2026-02-10 - URL: https://gidel-old.hostey.co.il/application/vision-imaging-solutions/ Gidel’s imaging solutions empower companies to deliver high-performance, real-time vision systems. With over 30 years of FPGA expertise, we combine proven experience with innovative technology to provide unmatched flexibility, speed, and scalability. As a result, our solutions help you stay ahead in demanding markets. Why Gidel for Vision & Imaging Solutions? Our modular ecosystem integrates GigE Vision, CoaXPress, and Camera Link frame grabbers, Edge Computers, and FPGA Modules. We also offer advanced Compression options & Image enhancement IPs including HDR and beyond. This unified approach removes bottlenecks, ensures zero frame loss, and keeps CPU usage negligible. Moreover, it frees resources for mission-critical tasks, enabling greater system efficiency. Modular & Future-Proof: Mix and match hardware and IP cores to adapt quickly to changing standards. High Performance: Experience zero frame loss, low latency, and minimal CPU load, even in multi-camera setups. Proven Expertise: Trusted by industries from Industrial Inspection and Medical Imaging to Defense Systems, Broadcast, and Research. Fast Integration: Use advanced tools that simplify setup and reduce risk and time-to-market. AI Vision & Edge Intelligence Modern vision systems increasingly rely on AI to process vast amounts of image data in real time. Gidel’s imaging solutions are purpose-built to support these demanding AI applications. Our FantoVision Edge Computers family combine powerful Altera FPGA-based frame grabbers with integrated NVIDIA Jetson modules, enabling high-speed image acquisition, pre-processing, and AI inference directly at the edge. Seamless AI Integration: Acquire, pre-process, and feed data directly to AI models without overloading the CPU. High-Speed Interfaces: Support for CoaXPress, 10 GigE Vision, and Camera Link ensures compatibility with the most demanding cameras. Real-Time Processing: On-FPGA image enhancement, compression, and multi-camera synchronization enable ultra-low-latency AI workflows. As a result, our solutions empower developers to deploy complex AI-driven vision applications efficiently—from drones and robotics to medical diagnostics and autonomous systems. Development Tools & Expertise Gidel’s advantage goes beyond hardware. Our Software Development Suite supports seamless integration and fast customization. With automated memory management, flexible IP cores, and built-in camera protocol support, engineers can shorten development cycles, enhance system reliability, and adapt quickly to new requirements. Your Competitive Edge in Vision & Imaging Solutions Choosing Gidel means partnering with a proven leader in high-performance vision & imaging solutions. Our technology is designed to meet today’s needs while remaining ready for tomorrow’s demands. With modular hardware, powerful software, and decades of expertise, we help you build reliable, scalable vision systems that keep you ahead of the competition. Need more information? Full Name Email Phone --- --- > For additional information, support or sales inquiries, refer to: https://gidel-old.hostey.co.il/contact-us/ or email sales@gidel-old.hostey.co.il. (c) 2026 Gidel. ---