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FantoVision40 Edge AI with FPGA Frame Grabbers

The FantoVision40 Family delivers compact NVIDIA Jetson systems with built-in FPGA frame grabbers, combining high-bandwidth camera acquisition with deterministic, low-latency FPGA processing. Supporting up to four CXP-12 links with optional connectivity for up to four 10GigE Vision cameras, these systems reduce processing overhead on Jetson and preserve resources for CUDA-based imaging and AI.

Gidel FantoVision40 Edge AI: Jetson Orin with Quad CoaXPress 12 links and optional Quad 10 GigE Vision FPGA Frame Grabber for imaging & vision applications displayed against a digital network connectivity background with Hand

FantoVision40 Mini NVIDIA Jetson Frame Grabber Systems: Overview & Comparison

Features & Bandwidth
Product Name FantoVision40-CXP12 FantoVision40
Product Image Gidel FantoVision40-CXP12: NVIDIA Jetson + Quad CXP-12 FPGA frame grabber- Edge AI Vision displayed against a digital network connectivity background Gidel FantoVision40: NVIDIA Jetson + Quad CXP-12 FPGA frame grabber and option for Quad 10GigE Vision Grabber - Edge AI Vision displayed against a digital network connectivity background
Jetson Model
  • Orin NX 16GB
  • Orin NX 16GB
Camera Input
  • Up to 4× CXP-12 links
  • PoCXP
  • Up to 4× CXP-12 links
  • PoCXP
  • Optional:
    Up to 4× 10GigE cameras
Camera Input Connectors 4× Micro-BNC
  • 4× Micro-BNC
  • Optional:
    4× SFP+ |4× RJ45
    (Fiber optic / Copper)
Aggregate Bandwidth Up to 50 Gb/s Up to 50 Gb/s
Real-Time ROI Offload
Real-Time Encoders
(Optional)
Real-Time HDR Correction
Dimensions (L/W/H) 134 × 90 × 60 mm 134 × 90 × 60 mm
Weight 750 g 750 g
Cooling Options Active | Passive Active | Passive
Storage Up to 8TB Up to 8TB

FPGA-Based Camera Acquisition and Processing for Jetson Edge AI

In each FantoVision40 system, the built-in Altera FPGA frame grabber manages high-speed camera acquisition and can perform inline real-time processing, including CompressionHDR and image enhancements, before data reaches NVIDIA Jetson. This reduces processing overhead on Jetson and preserves resources for CUDA-based imaging and AI.

Need more information?




    Inline FPGA Image Processing Options

    Enhance FantoVision40 with FPGA processing options for real-time image enhancement and data optimization before Jetson-based imaging and AI processing.

    Related Videos

    Join Reuven Weintraub, founder and CTO of Gidel, as he reveals how to unlock exceptional image processing performance by adding FPGA’s processing to NVIDIA Jetson edge AI systems.

    Reuven Weintraub – Gidel Founder and CTO describes how to boost performance in Machine Vision and Imaging systems. This talk has been given at the Vision Show 2024 Stuttgart, during the Vision Days Forum.

    Gidel FantoVision40 edge AI and frame grabber systems at the Embedded World show 2024.

    A short video introduction of the FantoVision edge AI frame grabber systems – 2023.

    Gidel presented its FPGA-based architecture capable of processing Giga+ Pixels per second while maintaining exceptionally low power consumption.
    The session demonstrated how Gidel’s scalable FPGA solutions deliver real-time imaging performance, energy efficiency, and deterministic throughput for advanced vision and imaging systems.

    Related PCIe Frame Grabber Options

    Need a PCIe-based acquisition solution instead of an embedded NVIDIA Jetson system?
    Explore Gidel frame grabber options for CoaXPress and GigE Vision camera interfaces.

    Need Help Choosing?

    Our experts can help you find the right product for your specific requirements.

    • Free product consultation
    • Technical specifications review
    • Custom configuration options
    • Volume pricing available

    Or contact us directly:

    sales@gidel.com




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