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Gidel at Embedded Technologies 2026

Events
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Embedded Technologies 2026 Gidel FPGA Embedded AI and 10 GigE Vision Demo

Embedded Technologies 2026: Gidel Demonstrated FPGA Embedded AI Vision

At Embedded Technologies 2026, Gidel demonstrated an FPGA-based embedded AI vision system designed for compact, high-performance imaging applications. The live demonstration showed how Gidel combines NVIDIA Jetson computing with FPGA processing to support high-speed image acquisition, deterministic real-time processing, HDR, compression, and AI at the edge.

FantoVision20-GigE: Real-Time Embedded AI Vision Demo

FantoVision20-GigE: NVIDIA Jetson + FPGA Edge AI Vision System

The live demonstration featured FantoVision20-GigE, combining NVIDIA Jetson and FPGA technology in a compact Edge AI vision platform.

The system demonstrated real-time 10 GigE Vision acquisition with FPGA-based image processing, advanced HDR, and Gidel’s proprietary Quality+ Compression.

By performing image enhancement and compression on the FPGA, the system reduced the processing load on the NVIDIA Jetson, leaving more CPU/GPU resources available for real-time AI workloads such as detection, tracking, and classification.

Engineers evaluating GigE Vision camera selection can also review Gidel’s guide to GigE Vision cameras to compare bandwidth, connectivity, cabling, synchronization, and acquisition requirements.

Why FPGA Processing Matters for Embedded Vision

Embedded AI systems often need to process high-resolution image streams within tight power, size, latency, and computing constraints.

Gidel’s FPGA-based architecture processes image data close to acquisition before transferring it to the NVIDIA Jetson CPU/GPU. This can reduce latency and data volume while providing predictable, deterministic processing for demanding embedded vision applications.

The architecture also allows image processing, enhancement, HDR, compression, and other application-specific functions to run in FPGA hardware while Jetson computing resources remain focused on AI inference and application processing.

Embedded AI Vision Applications

The architecture demonstrated at Embedded Technologies 2026 is relevant to applications including:

  • Robotics and autonomous systems
  • Smart mobility
  • Industrial automation
  • Machine vision
  • Advanced sensing systems
  • Embedded Edge AI
  • High-speed image acquisition and processing
  • Multi-camera imaging

Explore Gidel FPGA Imaging Solutions

Embedded Technologies 2026 Event Details

📆 Wednesday, June 17, 2026

📌 Daniel Hotel, Herzliya

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