FantoVision20-GigE
Mini Edge AI System with:
Built-in Dual 10 GigE Vision Frame Grabber
FantoVision20 Edge AI with FPGA Frame Grabbers
The FantoVision20 Family delivers compact NVIDIA Jetson systems with built-in FPGA frame grabbers, combining high-bandwidth camera acquisition with deterministic, low-latency FPGA processing. Available with Dual 10 GigE Vision, Camera Link, or a combined interface configuration, FantoVision20 reduces processing overhead on Jetson and preserves resources for CUDA-based imaging and AI.
FantoVision20 Mini NVIDIA Jetson Frame Grabber Systems: Overview & Comparison
| Product Name | FantoVision20-GigE | FantoVision20-CL | FantoVision20 |
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| Product Image | 
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| Jetson Model |
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| Camera Input options |
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| Camera Input Connectors |
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2 × SDR26 (mini-Camera Link) |
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| Aggregate Bandwidth | Up to 20 Gb/s | Up to 6.8 Gb/s | Up to 26.8 Gb/s |
| Real-Time ROI Offload | ✓ | ✓ | ✓ |
| Real-Time Encoders | |||
| Real-Time FPGA Image Processing |
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| Dimensions (L/W/H) |
134 × 90 × 60 mm | 134 × 90 × 60 mm | 134 × 90 × 60 mm |
| Weight | 750 g | 750 g | 750 g |
| Cooling Options |
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| Storage | Up to 8TB | Up to 8TB | Up to 8TB |
FPGA-Based Camera Acquisition and Processing for Jetson Edge AI
In each FantoVision20 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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FantoVision20 Edge AI System Options
Compact NVIDIA Jetson Systems with Built-In FPGA Frame Grabber Configurations:
Dual 10 GigE Vision and Camera Link Connectivity
Dual 10 GigE Vision and Camera Link Connectivity
Inline FPGA Image Processing Options
Enhance FantoVision20 systems with FPGA processing options for real-time image enhancement, detection, and data optimization before Jetson-based imaging and AI processing.
Related Videos
Image processing acceleration on NVIDIA Jetson embedded computer at the Embedded World 2024 show.
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 FantoVision20 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 10 GigE Vision and Camera Link 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 GigE Vision and Camera Link acquisition, along with a Camera Link Camera Simulator for system testing and validation.
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