Fully Integrated NVIDIA Jetson with Dual 10 GigE & Camera Link Interfaces
- NVIDIA Jetson Orin NX | Xavier NX + Altera Arria 10 FPGA
- High-speed FPGA-based Edge AI system: up to 26.8 Gb/s
- Integrated Dual 10 GigE Vision and Camera Link acquisition interfaces
- Direct transfer of image buffers from FPGA to GPU memory
- Dimensions: 134 × 90 × 60 mm | Weight: 750 g
- Supports 100+ synchronized GV and CL cameras using InfiniVision
- Inline FPGA image processing options include:
- Real-time detection for object, event, or feature identification
- On-FPGA real-time compression: JPEG, Lossless, Quality+
- Real-time High Dynamic Range (HDR) correction
- Jetson processing options:
- Compression: H.264 | H.265
- RTSP output option
Jetson with 10 GigE Vision & Camera Link Frame Grabbers
The FantoVision20 is a rugged Jetson system with a fully integrated dual interface frame grabber. Powered by the NVIDIA Jetson Orin NX or Xavier NX, it simultaneously captures and processes data from up to 2 × 10 GigE Vision cameras and from Camera Link Deca, Full, Medium, Base, or Dual Base camera configurations. It combines high-end image acquisition on an Arria 10™ FPGA with real-time GPU processing on Jetson, enabling low-latency recording, streaming, and Edge AI in an ultra-compact, low-SWaP form factor.
Jetson GigE Vision & Camera Link Acquisition with Real-Time FPGA Image Processing
The FantoVision20 is available as a plug-and-play dual-interface frame grabber system supporting GigE Vision and Camera Link acquisition, or as part of a complete imaging & vision solution with real-time FPGA preprocessing, image enhancement, and compression options.
The built-in FPGA can process image data during acquisition, before the data reaches the Jetson module. This helps reduce bandwidth, storage, and Jetson processing load while preserving low-latency performance for high-speed camera streams.
Optional FPGA processing includes Compression, HDR correction, Detection, and additional image enhancement modules.
Real-Time FPGA Processing Helps Enable:
- Reduced bandwidth for high-throughput image acquisition
- Low-latency processing directly in the acquisition flow
- Extended recording time through real-time compression
- Lower Jetson processing load by offloading selected tasks to the FPGA
- Custom image pipelines using Gidel IPs or user FPGA logic
For the full list of available image processing and enhancement options, please refer to the Options tab.
Flexible Development Tools
- Open architecture: split/chain processing between FPGA and GPU
- GPU development: CUDA | C/C++ and NVIDIA AI libraries on Jetson
- FPGA development: rapid pre‑processing deployment with ProcVision Suite
Integrated Vision Acquisition and Processing
Deploy a single compact Jetson + FPGA node for Camera Link and GigE camera acquisition, real-time preprocessing, Edge AI inference, recording, and streaming. This approach reduces cabling, latency, and overall system cost while improving reliability and maintainability.
For large-scale, synchronized camera deployments, Gidel’s InfiniVision multi-camera vision system enables synchronization and processing across 100+ sensors within a flexible acquisition framework.
For applications that require strict determinism, line-scan optimization, or guaranteed frame capture with fixed timing, ProcFG provides a dedicated deterministic image acquisition layer.
Both approaches integrate seamlessly into Gidel’s FPGA-based vision platforms and scale from single-node systems to multi-unit topologies.
Why Choose the FantoVision20?
- Compact NVIDIA Jetson + FPGA system with integrated 10 GigE Vision and Camera Link frame grabber
- Up to 26.8 Gb/s aggregate input bandwidth
- FPGA + GPU architecture for low-latency acquisition, processing, recording, streaming, and Edge AI
- Optional real-time FPGA image processing, enhancement, and compression IPs
The FantoVision20 is the ideal choice when you need simultaneous GigE Vision and Camera Link camera acquisition in a compact, low-latency Jetson platform.
Related Products
View the Full FantoVision System Range
View the Full Range of PCIe GigE Vision Frame Grabbers
View the PCIe Camera Link Frame Grabber
View the Camera Link Simulator
General
- GigE Vision 2.1
- Camera Link 2.0
- 2 × 10 GigE cameras
- 4 × 5 GigE cameras
- 8 × 2.5 GigE cameras
- 15 × 1 GigE cameras
- Deca, Full, Medium, or Base
- Dual Base
- Optional PoCL support
- 2 × SFP+, fiber optic
- 2 × RJ45, copper
- 2 × SDR26
(mini-Camera Link))
- On-the -fly selective ROI acquisition
- Link Aggregation mode
- Chunk Data
- 1 × GbE
- 1 × USB 3.2 Gen 2 (single lane)
- 1 × USB 2.0
- 1 × HDMI Out
- 1 × Recovery
- 1 × Restart
- 1 × UART
- Up to 8TB
- Mono, Bayer, RGBA (8, 10, 12, 14 and 16 bits/color)
- RGB (8, 10 and 12 bits/color)
- Horizontal: 16 K pixels (64-bit)
- Vertical: 65 K lines
- For configurations supporting higher resolutions- Contact Us
For the full list, please refer to the Options tab.
For the full list, please refer to the Options tab.
- Area
- Line Scan
- 2 × RS422 deferential pairs
- 2 × Opto-Isolators
- 2 × High-Drive output
- 3 × LVTTL
- GPIO power out: 2 × 12V @ 1.0A aggregate
- CAN bus
- Customizable streaming & communication using NVIDIA tools
- RTSP streaming option
- Passive cooling
- Active cooling (Fan)
>650Kh (With Passive Cooling)
- CE
- FCC
- CCI
Processors:
- NVIDIA Jetson Orin NX
- NVIDIA Jetson Xavier NX
- NVIDIA Jetson Nano NX (Subject to minimum order quantity)
- JetPack 6.2.1
- Up to 8-core Arm Cortex-A78AE 2MB L2 + 4MB L3
- 1024 Core Ampere, with 32 Tensor Cores
- Up to 157 TOPS AI computation
- Up to 16GB @ 102.4 GB/s
- Video encode: 1 × 4K60, 3 × 4K30, 6 × 1080p60, 12 × 1080p30 (H.265), H.264, H.265, AV1
- Video decode: 1 × 8K30,2 × 4K60, 4 × 4K30, 9 × 1080p60, 18 × 1080p30 (H.265), H.264, H.265, VP9, AV1
- JetPack 5.1.3
- Up to 6-core NVIDIA Carmel (Arm v8.2) 6MB L2 + 4MB L3
- 384 Core Volta, with 48 Tensor Cores
- Up to 21 TOPS AI computation
- Up to 16GB @ 51.2 GB/s
- Video encode: 1 × 4K60, 2 × 4K30, 4 × 1080p60, 8 × 1080p30 (H.265), H.264, H.265
- Video decode: 2 × 4K60, 4 × 4K30, 8 × 1080p60, 16 × 1080p30 (H.265), H.264, H.265, VP9
- JetPack 5.1.3
- Up to 6-core NVIDIA Carmel (Arm v8.2) 6MB L2 + 4MB L3
- 384 Core Volta, with 48 Tensor Cores
- Up to 21 TOPS AI computation
- Up to 8GB @ 51.2 GB/s
- Video encode: 1 × 4K60, 2 × 4K30, 4 × 1080p60, 8 × 1080p30 (H.265), H.264, H.265
- Video decode: 2 × 4K60, 4 × 4K30, 8 × 1080p60, 16 × 1080p30 (H.265), H.264, H.265, VP9
- 160 GX
- 270 GX
- 660 GX
Environmental Conditions
- Commercial: 0 °C - 65 °C case temperature
- Industrial: -25 °C - 65 °C case temperature. (Limited FPGA options)
- IP53-compliant
- For configurations meeting higher IP standards, contact Gidel
FantoVision20 offers unmatched modularity: select the Jetson SoM, FPGA, storage, cooling, and beyond to fit your exact needs.
Looking to adapt the FantoVision20 Edge AI according to your Vision?
The FantoVision20 edge AI offers two powerful customization paths to meet specific application requirements:
- Pre-Configured FPGA Features
Gidel develops a range of pre-embedded modules tailored to your specifications, including real-time compression, image processing, and enhancement options.
For the full list of image processing and enhancements, please refer to the Options tab. - User-Level FPGA Customization
Leverage Gidel’s development tools and IP libraries to integrate your proprietary FPGA logic and extend the system’s capabilities for acquisition, image processing, and control.
The Gidel ProcVision Suite delivers a complete toolchain for advanced user-level FPGA customization of the data flow, image pipeline, image processing, and more, ensuring optimal performance for your vision or imaging application.
Gidel can also integrate customer algorithms into the FPGA or develop custom FPGA logic according to specific application requirements.
FantoVision20: FPGA resources comparison
| Model | FV2016/164 | FV20272/27/27I | FV2066 |
|---|---|---|---|
| FPGA |
Arria 10 160 GX |
Arria 10 270 GX |
Arria 10 666 GX |
| FPGA-ALM | 61,000 | 101,620 | 250,540 |
| FPGA-M20K | 440 | 750 | 2,133 |
| FPGA-18*19 Multipliers | 312 | 1,660 | 3,556 |
|
|
2GB (Industrial) | 4GB | 2GB (Industrial) | 10GB | 4GB | 9GB |
|
|
Up to 12.8GB/s | Up to 24GB/s | Up to 15.2GB/s |
|
|
12.5Gb/s | 12.5Gb/s | 12.5Gb/s |
| Camera Link Support | Deca | Full | Medium | Base | Base | Base |
Grabbers SDK
Application Interfaces
- CameraConfig- For camera discovery and configuration.
- ggvcon- For setting GigE Vision network communication.
- ProcFG with supporting examples
- InfiniVision with supporting examples
- Gen<i>Cam GenTL producer libraries compatible with C/C++ compilers
- InitCam for developing user Gen<i>Cam camera configuration application
- GigE for developing camera network communication applications
Software Compatibility
- Ubuntu 20
- JetPack 6.2.1
- Ubuntu 20
- JetPack 5.1.3
| Name | Description | Type | Size | |
|---|---|---|---|---|
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FantoVision20
|
Datasheet | 383.8 KB | ||
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FantoVision20
|
Block Diagram | PNG | 154.5 KB | |
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FantoVision20 Family
|
Getting Started User Guide | 2.0 MB |
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FAQ
The FantoVision20 is a rugged multi-interface Jetson system designed for demanding multi-camera vision workloads. It supports:
-
Up to 2 × 10 GigE, 4 × 5 GigE, 8 × 2.5 GigE, or 15 × 1 GigE cameras.
-
1 × 80-bit Deca, Full, Medium, or Base Camera Link camera.
-
Dual Base operation for connecting two Base cameras simultaneously.
-
Optional PoCL (Power over Camera Link) support for simplified camera power and cabling.
The system uses an Altera Arria 10 FPGA dedicated to camera acquisition, synchronization, buffering, and optional real-time processing. By offloading these high-bandwidth tasks to the FPGA, image data can be transferred efficiently to the Jetson while preserving Jetson CPU and GPU resources for Edge AI inference, analytics, and application logic.
Yes. One of the core strengths of the FantoVision20 is optional inline FPGA processing for real-time compression, image enhancement, and detection directly in the acquisition flow. This allows selected tasks to run on the FPGA before the data reaches the Jetson module. For the full list of available options, please refer to the Options tab.
Virtually zero for the acquisition, synchronization, and selected FPGA processing flow. These tasks are performed by the internal FPGA, helping free the Jetson CPU from raw data handling and selected preprocessing tasks. This enables more of the NVIDIA Jetson Orin NX or Xavier NX processing resources to be used for AI inference and application logic.
The FantoVision20 provides a dual-development environment. For the GPU, you have full access to NVIDIA CUDA, C/C++, and AI libraries. The FPGA acquisition and preprocessing layer is supported by Gidel’s ProcVision™ Suite, enabling rapid deployment and customization of the imaging pipeline across both interfaces.
By utilizing Gidel’s InfiniVision™ architecture, the FantoVision20 supports deterministic, synchronized acquisition from 100+ GigE Vision and Camera Link cameras across scalable multi-system configurations. Combined with its FPGA-based acquisition architecture and integrated NVIDIA Jetson processing, it delivers deterministic, zero-frame-loss performance in demanding multi-camera, high-speed, high-resolution GigE Vision and Camera Link workflows.
Yes. The FantoVision20 is well suited for real-time recording and streaming applications. It can perform inline FPGA processing, including HDR correction, detection, and compression options such as JPEG, Lossless, or Quality+. This reduces the data load before it reaches the Jetson, supporting longer recording times, efficient streaming, and low-latency system operation.
All Gidel products come with a 12-month warranty, dedicated technical support, and regular firmware and driver updates to ensure high-performance reliability in demanding, long-term deployments.