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.
Gidel structures its defense imaging infrastructure around modular building blocks that system designers can combine and scale to meet specific requirements:
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.
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:
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.
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:
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?
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.
Modular Recording & Streaming Solutions for Vision and Imaging Systems.
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.
Real-time processing used by German research team in experimental wireless communication base station.
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