Mini Jetson Frame Grabber Systems (Computer Vision) deliver high-bandwidth acquisition with deterministic, low-latency edge processing. The family spans Dual 10GigE, Camera Link (Deca/Full/Medium/Base), Quad CoaXPress-12, hybrid Quad CXP-12 + Quad 10GigE or Dual 10GigE with Camera Link configuration—so you can match interfaces precisely to your cameras and bandwidth needs.
| Model | FantoVision20-GigE | FantoVision20-CL | FantoVision20 |
|---|---|---|---|
| Product Image |
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| Jetson Model |
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| Camera Input |
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| Camera Input Connectors |
2× SFP+ | 2x RJ45 (Fiber optic / Copper) |
2x SDR26 (mini Camera Link) |
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| Aggregate Bandwidth |
Up to 20 Gb/s (Dual 10GigE configuration) |
Up to 6.8 Gb/s (Camera Link Configuration) |
Up to 50 Gb/s (Dual 10GigE + Camera Link configuration) |
| Real-Time ROI Offload |
✓ | ✓ | ✓ |
| Real-Time Encoders (Optional) |
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| Real-Time HDR Correction |
✓ | ✓ | ✓ |
| 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 |
Active | Passive | Active | Passive | Active | Passive |
| Storage | Up to 8TB | Up to 8TB | Up to 8TB |
| Model | FantoVision40-CXP12 | FantoVision40 |
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| Product Image |
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| Jetson Model |
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| Camera Input |
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| Camera Input Connectors |
4x Micro-BNC |
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| Aggregate Bandwidth | Up to 50Gb/s (CXP configuration) |
Up to 50 Gb/s (CXP), plus 10GigE option |
| Real-Time ROI Offload |
✓ | ✓ |
| Real-Time Encoders (Optional) |
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| 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 |
The FantoVision line pairs an NVIDIA Jetson computer with an Altera Arria 10 FPGA. The FPGA handles real-time pre-processing—Compression, HDR, and image enhancements—while Jetson runs CUDA-based imaging and AI.
Need more information?
Rugged NVIDIA Jetson with:
Dual 10GigE Frame Grabber
Rugged NVIDIA Jetson with:
Quad Coaxpress-12
Frame Grabber
Rugged NVIDIA Jetson with:
Camera Link Frame Grabber
Modular Edge Computers Options with Gidel
Rugged NVIDIA Jetson with:
Camera Link +
Dual 10GigE Frame Grabber
Rugged NVIDIA Jetson With:
Quad CoaXPress-12 +
Optional 10GigE Frame Grabber
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.
WatchReuven 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.
WatchImage processing acceleration on NVIDIA Jetson embedded computer at the Embedded World 2024 show.
WatchGidel edge computers and frame grabbers at the Embedded World show 2024.
WatchA short video introduction of the FantoVision edge computers – 2023.
WatchGidel 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.
WatchGidel founder and CTO Reuven Weintraub present the new FantoVision edge computers for 10GigE Vision, Camera Link and CoaXPress interface for embedded vision on the edge at the Embedded World Show 2022 in Nuremberg, Germany.
WatchPresented 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.
WatchRon Muller presenting Gidel’s first heterogeneous Edge Computer Vision combining FPGA and NVIDIA Jetson at Industrial Vision Days conference at VISION 2021 show in Stuttgart, Germany.
Watch