FantoVision20 Family
Mini Edge AI Systems with:
Built-in Camera Link and Dual 10 GigE Vision Frame Grabbers
FantoVision Edge AI with FPGA Frame Grabbers
The FantoVision Family delivers compact NVIDIA Jetson systems with built-in FPGA frame grabbers, combining high-bandwidth camera acquisition with deterministic, low-latency FPGA processing. Supporting 10 GigE Vision, Camera Link, CXP-12, and combined interface configurations, FantoVision systems reduce processing overhead on Jetson and preserve resources for CUDA-based imaging and AI.
FantoVision Mini NVIDIA Jetson Frame Grabber Systems: Overview & Comparison
| Product Name | FantoVision20-GigE | FantoVision20-CL | FantoVision20 | FantoVision40-CXP12 | FantoVision40 |
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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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4 × Micro-BNC |
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| Aggregate Bandwidth |
Up to 20 Gb/s | Up to 6.8 Gb/s | Up to 26.8 Gb/s | 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 | 134 × 90 × 60 mm | 134 × 90 × 60 mm | 134 × 90 × 60 mm |
| Weight | 750 g | 750 g | 750 g | 750 g | 750 g |
| Cooling Options |
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| Storage | Up to 8TB | Up to 8TB | Up to 8TB | Up to 8TB | Up to 8TB |
FPGA-Based Camera Acquisition and Processing for Jetson Edge AI
In each FantoVision 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.
Need more information?
FantoVision Edge AI System Options
Compact NVIDIA Jetson Systems with Built-In FPGA Frame Grabber Configurations:
CXP-12, 10 GigE Vision, and Camera Link Connectivity
CXP-12, 10 GigE Vision, and Camera Link Connectivity
Inline FPGA Image Processing Options
Enhance FantoVision 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.
Image processing acceleration on NVIDIA Jetson embedded computer at the Embedded World 2024 show.
Gidel edge AI systems and frame grabbers 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 AI for 10 GigE Vision, Camera Link and CoaXPress 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.
FAQ
The correct FantoVision system depends primarily on the camera interface and required acquisition bandwidth. Gidel offers FantoVision systems for Camera Link, GigE Vision, CoaXPress, and dual-interface configurations combining Camera Link with GigE Vision or CoaXPress with GigE Vision. All systems combine NVIDIA Jetson processing with FPGA-based camera acquisition and optional real-time image processing in a compact Edge AI platform.
Yes. FantoVision systems use an integrated FPGA to perform selected image processing directly in the acquisition flow before the data reaches the NVIDIA Jetson module. Available options include real-time Compression, HDR correction, Detection, image enhancement, and custom FPGA processing, helping reduce bandwidth, storage requirements, and Jetson processing load.
Yes. By utilizing Gidel’s InfiniVision™ architecture, FantoVision systems can support deterministic, synchronized acquisition from 100+ cameras across scalable multi-system configurations. The FPGA-based acquisition layer provides precise synchronization and deterministic data handling for demanding multi-camera, high-speed, and high-resolution vision applications.
FantoVision provides a dual-development environment. NVIDIA CUDA, C/C++, and AI libraries can be used for GPU and application development on Jetson, while Gidel’s ProcVision™ Suite supports FPGA acquisition, preprocessing, and custom image-processing development. This allows processing to be split or chained between the FPGA and Jetson according to application requirements.
A Gidel FantoVision system is a complete embedded vision platform that combines camera acquisition, an NVIDIA Jetson processor, and optional real-time FPGA image processing in one compact Edge AI system. A PCIe frame grabber is an acquisition card installed in a host computer and transfers image data through PCIe for processing by the host system. The correct platform depends on whether the application requires a complete embedded Jetson + FPGA vision system or a host-based PCIe acquisition card.
Related Frame Grabbers & Camera Simulator Solutions
Explore Gidel FPGA-based PCIe frame grabbers for CXP-12, GigE Vision, and Camera Link acquisition, along with Camera Link and CoaXPress Camera Simulators for system testing and validation.
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