Mini FPGA Modules
Gidel Mini FPGA Modules provide compact, high-performance FPGA processing platforms for integration on Gidel PCIe carrier boards or custom user-defined boards. With flexible carrier-board connectivity...
View ProductsUAV / Drone Computer Vision Systems
High-Performance Drone Computer Vision
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.
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UAVs / Drones Related Solutions
FantoVision Edge AI with FPGA Frame Grabbers
The FantoVision Family delivers compact NVIDIA Jetson systems with built-in FPGA frame grabbers, combining high-bandwidth camera acquisition with deterministic, low-latency FPGA processing. Supporting 10GigE Vision,...
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Frame Grabbers & Image Processing
Gidel’s FPGA-based PCIe frame grabbers support the major high-performance camera interfaces used in demanding vision systems, including GigE Vision, CoaXPress, and Camera Link. The lineup...
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GIL: FPGA Imaging Libraries (IPs)
Gidel Imaging Libraries (GIL) provide ready-to-integrate FPGA IPs for CPU offloading and real-time vision processing, including acquisition, image enhancement, Compression, HDR, and additional imaging functions.
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Development Tools for Imaging & Vision Applications
Gidel’s development tools enable the customization of FPGA based platforms for advanced Imaging & Vision applications. From API-based software development to real-time on-FPGA processing, interface...
View ProductsResources
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.
Other Applications
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