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Integrated Dual 10 GigE Vision Interface with NVIDIA Jetson

  • High-speed FPGA-based Edge AI system: up to 20 Gb/s
  • Integrated Dual 10 GigE Vision frame grabber interface
  • NVIDIA Jetson Orin | Xavier NX SoM
  • Altera Arria 10 FPGA for image acquisition and pre-processing
  • Direct transfer of image buffers from FPGA to GPU memory
  • Dimensions: 134 x 90 x 60 mm | Weight: 750 g
  • Inline FPGA image processing options include:
  • Jetson processing options:
    • Compression: H.264 | H.265
    • RTSP output option

Jetson GigE Vision Frame Grabber System

The FantoVision20-GigE is a rugged Jetson system with a fully integrated GigE Vision frame grabber. Based on the NVIDIA Jetson Orin NX / Xavier NX, it is specifically designed to capture and process data from 10 GigE Vision cameras in real-time.

It merges high-end image acquisition on an Arria 10™ FPGA with real-time GPU processing on Jetson, enabling low-latency recording, streaming, and Edge AI in an ultra-compact form factor.


Jetson GigE Vision Acquisition with Real-Time FPGA Image Processing

The FantoVision20-GigE is available as a plug-and-play GigE Vision frame grabber system or as part of a complete Imaging & Vision solution with real-time FPGA preprocessing, image enhancement, and compression options.

The built-in FPGA can process image data during acquisition, before it reaches the Jetson module. This helps reduce bandwidth, storage, and Jetson processing load while preserving low-latency performance for high-speed camera streams.

Optional FPGA processing includes Compression, HDR correction, Detection, and additional image enhancement modules.

Real-Time FPGA Processing Helps Enable:

  • Reduced bandwidth for high-throughput image acquisition
  • Low-latency processing directly in the acquisition flow
  • Extended recording time through real-time compression
  • Lower Jetson processing load by offloading selected tasks to the FPGA
  • Custom image pipelines using Gidel IPs or user FPGA logic

For the full list of available image processing and enhancement options, please refer to the Options tab.


Flexible Development Tools

  • Open architecture: split/chain processing between FPGA and GPU
  • GPU development: CUDAC/C++ and NVIDIA AI libraries on Jetson
  • FPGA development: rapid pre‑processing deployment with ProcVision Suite

Integrated Vision Acquisition and Processing

Deploy a single compact node for acquisition, real-time pre-processing, Edge AI inference, and recording. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability.

For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework.
For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer.

Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies.


Why Choose the FantoVision20‑GigE?

  • Compact NVIDIA Jetson system with built-in Dual 10 GigE Vision FPGA frame grabber
  • Up to 20 Gb/s aggregate input bandwidth
  • FPGA-plus-GPU architecture for low-latency acquisition, processing, recording, streaming, & Edge AI
  • Optional real-time FPGA processing, image enhancement and compression IPs

The FantoVision20-GigE is the ideal choice when your workload lies on GigE Vision High Speed cameras in a compact, low-latency Jetson platform.

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