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.
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Products & Solutions
At Gidel, we specialize in modular, customizable technology to suit your exact requirements.
Let us help you find the ideal solution – ContactUS.
FPGA-Based Camera Acquisition and Processing for Jetson Edge AI
In each FantoVision20 system, the built-in Altera FPGA frame grabber manages high-speed camera acquisition and can perform inline real-time processing, including Compression, HDR, and image enhancements, before data reaches NVIDIA Jetson. This reduces processing overhead on Jetson and preserves resources for CUDA-based imaging and AI.
For advanced development, ProcWizard and Gidel templates enable real-time on-FPGA processing and system architecture customization, including software, I/O interfaces, and HDL design code. The suite can automatically generate the board’s Application Support Package (ASP), including software drivers, the HDL top-level envelope, interface bridges, and Gidel proprietary IPs such as Compression and HDR.
Gidel’s MultiPort memory controller can also be seamlessly integrated, enabling simultaneous multi-application access to the frame grabber and supporting flexible, scalable Imaging & Vision development.
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Gidel PCIe frame grabbers manage high-bandwidth camera acquisition directly on the Altera FPGA, enabling deterministic, low-latency data capture while reducing CPU overhead. Optional inline FPGA processing supports real-time image enhancement, Compression, HDR, and data optimization before host-side processing.
Open FPGA for customer development. Use our platforms as a base to modify data flow and implement custom algorithms on the FPGA. The ProcVision Suite streamlines development and optimizes system performance.
Tailored FPGA flows. Built on Gidel’s proven infrastructure and R&D expertise—algorithm research, customization, and optimized FPGA utilization for best-in-class acquisition and subsystem acceleration, aligned to your specs.
As a result, your Imaging & Vision Solutions reach market faster and deliver higher performance.
We want to hear more about your requirements!
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JPEG Encoder IP – Real-time JPEG compression on FPGA with ultra-low latency, adjustable compression, and efficient silicon use.
Lossless Compression IP – Preserves full image data with zero quality loss, perfect for precision-critical applications.
Quality+ compression IP – Patented, training-based algorithm achieving up to 10:1 compression while preserving and enhancing image SNR, ideal for demanding Imaging & Vision applications.
Gidel’s compression solutions reduce bandwidth, minimize storage, and enhance overall system performance—all in real time.
Join Reuven Weintraub, founder and CTO of Gidel, as he reveals how to unlock exceptional image processing performance by adding FPGA’s processing to NVIDIA Jetson edge AI systems.
Reuven Weintraub – Gidel Founder and CTO describes how to boost performance in Machine Vision and Imaging systems. This talk has been given at the Vision Show 2024 Stuttgart, during the Vision Days Forum.
Image processing acceleration on NVIDIA Jetson embedded computer at the Embedded World 2024 show.
Gidel edge computers and frame grabbers at the Embedded World show 2024.
A short video introduction to FantoVision edge computers – 2023.
Boost your vision! Gidel’s high-performance GigE Vision, Camera Link and CoaXPress frame grabbers help overcome bandwidth bottlenecks in high-resolution and/or high-speed computer vision applications.
Gidel presented its FPGA-based architecture capable of processing Giga+ Pixels per second while maintaining exceptionally low power consumption.
The session demonstrated how Gidel’s scalable FPGA solutions deliver real-time imaging performance, energy efficiency, and deterministic throughput for advanced vision and imaging systems.
Reuven Weintraub, Founder and CTO of Gidel, presented Gidel’s solutions to perform high-bandwidth imaging on the edge at InVision TechTalk webinar held on September 2023.
Gidel founder and CTO Reuven Weintraub present the new with FantoVision edge computers for 10GigE Vision, Camera Link and CoaXPress interface for embedded vision on the edge at the Embedded World Show 2022 in Nuremberg, Germany.
Gidel founder and CTO Reuven Weintraub explain the benefits of Gidel’s Altera-based high-performance FPGA modules for fast and easy development.
Gidel founder and CTO Reuven Weintraub present the performance and versatility of Gidel’s GigE Vision, Camera Link and CoaXPress frame grabbers for high-speed image acquisition and pre-processing at the Embedded World 2022 in Nuremberg, Germany.
Presented by Reuven Weintraub, this talk highlighted Gidel’s expertise in real-time processing over Gigapixel/s image streams, demonstrating how FPGA-based architectures enable deterministic latency, scalable throughput, and efficient handling of ultra–high-resolution vision data.
Ron Muller presenting Gidel’s first heterogeneous Edge Computer Vision combining FPGA and NVIDIA Jetson at Industrial Vision Days conference at VISION 2021 show in Stuttgart, Germany.
Advanced vision systems rely on one or multiple high-resolution, high-speed cameras. These capture and deliver multiple gigapixels per second that need to be processed and/or compressed in real-time. While camera sensor technology and supporting interfaces are quicky evolving, traditional PCIe/CPU/GPU-based PC-architectures are lacking the required performance to capture, process, and store images at such data rates.
Other Applications
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