Powerful Embedded FPGA processing 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.
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.
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:
Designers of embedded vision systems face strict constraints that drive system architecture decisions:
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.
For edge vision and AI workloads, Gidel also offers Mini Jetson Frame Grabbers that tightly integrate embedded FPGA processing with GPU-based AI acceleration.
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?
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.
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 explain the benefits of Gidel’s Altera-based high-performance FPGA modules for fast and easy development.
Key features of all modules at a glance.
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.
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.
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