Gidel at ChipEx 2026 Exhibition

ChipEx 2026 Exhibition: Gidel Demonstrated FPGA Imaging and Embedded AI

At the ChipEx 2026 Exhibition, Gidel demonstrated FPGA-based imaging and embedded AI vision technologies for high-performance acquisition, deterministic real-time processing, image enhancement, compression, and Edge AI applications.

FantoVision20-GigE: Real-Time 10 GigE Vision Demo

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

The live demonstration featured Gidel’s FantoVision20-GigE, combining NVIDIA Jetson Orin NX computing with an Altera FPGA in a compact embedded vision platform.

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

Key capabilities included:

• Real-time 10 GigE Vision acquisition for high-speed, low-latency imaging
• High-quality single-exposure HDR to improve visibility in dark regions while preserving detail in bright areas
• Quality+ Compression for efficient image-quality-to-compression performance
• Sub-frame latency enabled by FPGA-based processing

By performing image enhancement and compression on the FPGA, the architecture reduces the processing burden on the NVIDIA Jetson and leaves more CPU/GPU resources available for AI workloads.

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 AI Vision

The ChipEx demonstration showed how FPGA processing can provide deterministic acquisition, low-latency image enhancement, compression, and application-specific processing before data reaches the Jetson CPU/GPU.

This architecture is particularly useful in systems where camera bandwidth, latency, predictable processing, and efficient use of AI computing resources are critical.

FPGA Frame Grabbers for High-Bandwidth Imaging

Gidel also presented its FPGA-based frame grabber portfolio for demanding machine vision and imaging applications.

Gidel PCIe frame grabbers combine high-bandwidth image acquisition with programmable FPGA resources for optional real-time 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.

Applications for FPGA Imaging and Embedded AI

The technologies demonstrated at ChipEx 2026 are relevant to applications including:

• Semiconductor inspection
• Industrial machine vision
• Embedded Edge AI
• High-speed image acquisition and processing
• Multi-camera imaging
• Defense imaging
• Advanced sensing systems
• Robotics and autonomous systems

Explore Gidel FPGA Imaging Solutions

• FantoVision Edge AI Systems
• Real-Time HDR IP Core
• Quality+ Compression

ChipEx 2026 Exhibition Event Details

📆 May 12, 2026
📌 Pavilion 10, EXPO Tel Aviv