FantoVision40-CXP12
Mini Edge AI System with:
Built-in Quad CXP-12 Frame Grabber
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 10 GigE Vision cameras, these systems reduce processing overhead on Jetson and preserve resources for CUDA-based imaging and AI.
FantoVision40 Mini NVIDIA Jetson Frame Grabber Systems: Overview & Comparison
| Product Name | FantoVision40-CXP12 | FantoVision40 |
|---|---|---|
| Product Image | 
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| Jetson Model | Orin NX 16GB | Orin NX 16GB |
| Camera Input Options |
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| Camera Input Connectors |
4 × Micro-BNC |
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| Aggregate Bandwidth | Up to 50 Gb/s | Up to 50 Gb/s |
| Real-Time ROI Offload | ✓ | ✓ |
| Real-Time Encoders |
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| Real-Time FPGA Image Processing |
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| Dimensions (L/W/H) |
134 × 90 × 60 mm | 134 × 90 × 60 mm |
| Weight | 750 g | 750 g |
| Cooling Options |
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| 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 Compression, HDR, Detection, and image enhancements, before data reaches NVIDIA Jetson. This reduces processing overhead on Jetson and preserves resources for CUDA-based imaging and AI.
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FantoVision40 Edge AI System Options
Compact NVIDIA Jetson Systems with Built-In FPGA Frame Grabber Configurations:
Quad CXP-12 with Optional 10 GigE Vision Connectivity
Quad CXP-12 with Optional 10 GigE Vision Connectivity
Inline FPGA Image Processing Options
Enhance FantoVision40 systems with FPGA processing options for real-time image enhancement, detection, 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.
Reuven Weintraub, Founder and CTO of Gidel, presented Gidel’s solutions to perform high-bandwidth imaging on the edge at InVision TechTalk webinar held on September 2023.
Gidel founder and CTO Reuven Weintraub present the new FantoVision edge computers for CoaXPress and 10 GigE Vision interface for embedded vision on the edge at the Embedded World Show 2022 in Nuremberg, Germany.
Presented by Reuven Weintraub, this talk highlighted Gidel’s expertise in real-time processing over Gigapixel/s image streams, demonstrating how FPGA-based architectures enable deterministic latency, scalable throughput, and efficient handling of ultra–high-resolution vision data.
Ron Muller presenting Gidel’s first heterogeneous Edge AI System combining FPGA and NVIDIA Jetson at Industrial Vision Days conference at VISION 2021 show in Stuttgart, Germany.
Related Frame Grabbers & Camera Simulator Solutions
Explore Gidel FPGA-based PCIe frame grabbers for CoaXPress and GigE Vision acquisition, along with a CoaXPress Camera Simulator for system testing and validation.
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