VISION Show 2026: Gidel Demonstrates Real-Time FPGA Imaging and Edge AI
At VISION Show 2026, Gidel will demonstrate how FPGA-based imaging platforms combine high-bandwidth camera acquisition, deterministic real-time processing, compression, and NVIDIA Jetson Edge AI in compact machine vision systems.
Visitors can explore Gidel solutions for CoaXPress, GigE Vision, and Camera Link cameras, ranging from high-performance PCIe FPGA frame grabbers to complete embedded NVIDIA Jetson + FPGA vision systems.
FantoVision40-CXP12: Real-Time Embedded Imaging and Edge AI
FantoVision40-CXP12: Mini Edge AI System with FPGA
The live demonstration will show a complete embedded AI vision pipeline combining Gidel FPGA technology with NVIDIA Jetson Orin NX. The FPGA handles deterministic acquisition from multiple sensors, performs real-time preprocessing, and applies Gidel’s proprietary Quality+ Compression before transferring image data to the Jetson for AI workloads such as detection, tracking, and classification.
The system simultaneously acquires images from two CoaXPress-12 cameras, one IR and one RGB Bayer, processing 13MP images at 30 FPS while maintaining high image quality.
This heterogeneous FPGA + Jetson architecture reduces CPU/GPU workload, lowers system latency, and leaves more Jetson computing resources available for AI application processing.
Engineers evaluating high-bandwidth camera configurations can also review Gidel’s guide to CoaXPress cameras for bandwidth, link count, cabling, synchronization, and acquisition considerations.
SkyBoost: High-Resolution FPGA Post-Processing Acceleration
SkyBoost: High-Resolution RAW-to-JPEG Imaging Acceleration
Gidel will also demonstrate SkyBoost, its FPGA-based image-processing accelerator for very large images, including image sizes above 100MP.
SkyBoost uses a PCIe FPGA accelerator installed in the host PC, with image processing running directly on the FPGA. This offloads the main imaging workload from the host CPU or GPU and accelerates high-resolution post-processing.
In the live demonstration, SkyBoost will reduce processing time from 30 seconds or more per image to more than two images per second. This can significantly shorten high-resolution imaging workflows that otherwise require hours or, in some cases, days.
The technology supports demanding applications including industrial inspection, defense, intelligence, aerial imaging, scientific imaging, and other high-resolution vision systems.
For real-time image processing during acquisition, Gidel also provides SkyBoost-RT.
FPGA Frame Grabbers for CoaXPress, GigE Vision, and Camera Link
Gidel will also present FPGA-based acquisition platforms for demanding machine vision and imaging systems. Gidel PCIe frame grabbers combine high-bandwidth camera acquisition with programmable FPGA resources for optional real-time image processing, image enhancement, compression, data reduction, and application-specific processing.
Solutions include CoaXPress frame grabbers, GigE Vision frame grabbers, and the Camera Link frame grabber.
FPGA Processing Across the Imaging Workflow
Gidel FPGA platforms address different stages of the imaging workflow. A PCIe FPGA frame grabber is well suited to systems where image acquisition and optional FPGA processing operate inside a host workstation or server.
FantoVision Mini Edge AI systems provide a different architecture by combining camera acquisition, FPGA processing, and NVIDIA Jetson CPU/GPU computing in a compact standalone system.
Both architectures support applications where bandwidth, latency, deterministic processing, and efficient use of CPU/GPU resources are critical.
Applications for FPGA Imaging and Edge AI
Gidel technologies support high-performance vision systems across industrial, scientific, aerospace, defense, and advanced embedded imaging applications.
- Industrial inspection and AOI
- High-speed machine vision
- Multi-camera imaging systems
- Robotics and autonomous systems
- Aerospace and defense imaging
- Scientific imaging
- Aerial imaging and ISR
- High-resolution image processing
- Embedded Edge AI vision
Meet Us at VISION Show 2026
Meet our expert team and see how FPGA acceleration can improve real-time image acquisition, processing, compression, and Edge AI performance.
Whether you are developing a high-bandwidth machine vision system, a multi-camera platform, or a compact embedded AI solution, visit Gidel to discuss how FPGA technology can offload demanding imaging workloads from the CPU and GPU while improving determinism and overall system performance.
VISION Show 2026 Event Details
📆 October 6–8, 2026
📌 Messe Stuttgart, Germany
📍 Hall 8, Booth 8D20
Event link: VISION Show 2026
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