Gidel at Vision China 2025

Vision China 2025: Gidel Demonstrated FPGA Machine Vision and Edge AI

At Vision China 2025, Gidel demonstrated modular FPGA-based technologies for high-speed machine vision, real-time processing, Edge AI, and multi-camera acquisition.

The demonstrations showed how Gidel combines FPGA-based image acquisition and processing with high-bandwidth camera interfaces and NVIDIA Jetson computing to support demanding automation, inspection, robotics, and quality-control applications.

FantoVision: Compact Edge AI Vision with FPGA Acquisition

Gidel presented its FantoVision Edge AI Systems, combining NVIDIA Jetson computing with FPGA-based camera acquisition and real-time image processing in compact embedded platforms.

The FPGA can handle deterministic acquisition, image enhancement, HDR, compression, and data preparation before transferring processed image data to the Jetson for AI and application processing.

By moving these pixel-intensive operations to the FPGA, the architecture can reduce acquisition and image-processing overhead on the Jetson, leaving more CPU/GPU resources available for inference, detection, tracking, classification, and application logic.

High-Bandwidth Machine Vision Acquisition and Processing

Vision China 2025 highlighted Gidel’s modular FPGA architecture for high-speed image acquisition and real-time processing.

Gidel’s platforms support multiple machine vision interfaces, including:

• CoaXPress frame grabbers for very high-bandwidth acquisition, including CXP-12
• GigE Vision frame grabbers for flexible high-bandwidth Ethernet-based imaging
• Camera Link frame grabbers for deterministic acquisition with established industrial camera interfaces
• Custom sensor and imaging interfaces for specialized system requirements

Gidel’s FPGA-based architecture enables image acquisition and processing to operate within the same deterministic pipeline, supporting machine vision systems that require high throughput, low latency, and predictable timing.

Engineers comparing camera interfaces can also review Gidel’s guides to CoaXPress cameras, GigE Vision cameras, and Camera Link cameras. The guides cover bandwidth, connectivity, synchronization, cabling, and acquisition considerations.

Real-Time HDR and Image Compression

Gidel also demonstrated FPGA-based image enhancement and data-reduction technologies.

Real-Time HDR improves visibility across challenging lighting conditions while maintaining real-time processing within the FPGA pipeline.

Quality+ Compression reduces image data volume while maintaining high image quality, helping reduce bandwidth and storage requirements in high-resolution and high-frame-rate imaging systems.

These capabilities are particularly relevant to inspection, semiconductor, robotics, precision manufacturing, and other machine vision applications where large image volumes must be processed continuously.

High-End Vision Demos at Vision China 2025

The demonstrations included:

• Real-time CoaXPress-12 acquisition with FPGA-based HDR and compression using Altera Arria 10
• Advanced Imaging & Vision IP development for real-time processing, testing, and validation
• Multi-camera FPGA acquisition and processing for high-bandwidth machine vision architectures
• Edge AI integration combining FPGA preprocessing with NVIDIA Jetson computing

Together, these demonstrations showed how FPGA processing can address bandwidth, latency, acquisition, and image-processing challenges across advanced machine vision systems.

Explore Gidel Machine Vision Solutions

• FantoVision Edge AI Systems
• Quality+ Real-Time Compression
• Real-Time HDR IP
• Gidel PCIe Frame Grabbers

Vision China 2025 Event Details

📆 March 26 to 28, 2025
📌 Shanghai New International Expo Centre, SNIEC
📌 Hall W5, Booth 5417

Official event website: Vision China