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Integrated Quad CXP-12 Interface with NVIDIA Jetson

  • NVIDIA Jetson Orin NX + Altera Arria 10 FPGA
  • High-speed FPGA-based Edge AI system: up to 50 Gb/s
  • Integrated Quad CXP-12 frame grabber with PoCXP
  • Direct transfer of image buffers from FPGA to GPU memory
  • Dimensions: 134 × 90 × 60 mm | Weight: 750 g
  • Supports 100+ synchronized CXP cameras using InfiniVision
  • Inline FPGA image processing options include:
  • Jetson processing options:
    • Compression: H.264 | H.265
    • RTSP output option

Jetson with Quad CoaXPress-12 Frame Grabber

The FantoVision40-CXP12 is a rugged Jetson system with a fully integrated CoaXPress-12 frame grabber. Powered by the NVIDIA Jetson Orin NX, it captures and processes data from up to 4 × CoaXPress CXP-12 links in real time with PoCXP. It combines 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, low-SWaP form factor.


Jetson CXP-12 Acquisition with Real-Time FPGA Image Processing

The FantoVision40-CXP12 is available as a plug-and-play CXP 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 the data 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 Jetson + FPGA node for CXP camera acquisition, real-time preprocessing, Edge AI inference, recording, and streaming.  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 FantoVision40‑CXP12?

  • Compact NVIDIA Jetson + FPGA system with integrated Quad CXP-12 frame grabber
  • PoCXP support for long-reach, robust camera connectivity
  • Up to 50 Gb/s aggregate CXP-12 link bandwidth
  • FPGA + GPU architecture for low-latency acquisition, processing, recording, streaming, and Edge AI
  • Optional real-time FPGA image processing, enhancement, and compression IPs

The FantoVision40-CXP12 is the ideal choice when you need high-throughput CoaXPress-12 camera acquisition in a compact, low-latency Jetson platform.

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