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.
Fully Integrated NVIDIA Jetson with Dual 10GigE & Camera Link Interfaces
- High-speed Jetson Dual Interface Frame Grabber bandwidth up to 26.8 Gb/s
- Integrated Dual 10 GigE Vision Frame Grabber interface
- Integrated Camera Link Frame Grabber interface (Deca | Full | Medium | Base | Dual Base)
- NVIDIA Jetson Orin | Xavier NX SoM
- Altera Arria 10 FPGA for image acquisition and pre-processing
- Ideal for Recording & Streaming solutions
- Dimensions: 134 x 90 x 60mm | Weight: 750g
- Inline Image Processing option including:
- On-FPGA real-time Compression (.JPEG, Lossless, Quality+)
- Real-Time High Dynamic Range (HDR) correction
- On Jetson Compression options: H.264 | H.265
- Direct transfer of image buffers from grabber to GPU memory
- RTSP output Option
FantoVision20: Jetson Dual Interface Frame Grabber (10GigE & Camera Link)
The FantoVision20 is a rugged Jetson system with a fully integrated dual interface frame grabber. Based on the NVIDIA Jetson Orin NX / Xavier NX, it captures and processes from dual 10 GigE Vision and Camera Link (Deca | Full | Medium | Base | Dual Base) cameras simultaneously. It merges 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 form factor.
Jetson Dual Interface Grabber Performance and Real-Time Image Processing
The FantoVision20 is available as a plug-and-play dual interface frame grabber system supporting Dual 10GigE Vision and Camera Link, or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (.JPEG, Lossless, Quality+).
Inline enhancement features include:
-
High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions.
-
White Balance – Maintains color accuracy across variable lighting conditions.
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Dynamic Luminance Balance – Preserves consistent brightness under changing illumination.
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Gamma Correction – Optimizes brightness and contrast for improved clarity.
Real-time compression with Dynamic ROI delivers:
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Extended recording times without compromising quality.
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Lower transmission bandwidth for efficient data handling.
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Accelerated offline compression, reducing storage needs and post-processing time.
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 node for acquisition, real-time pre-processing, Edge AI inference, and recording. 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?
- Supports Dual 10GigE Vision plus Camera Link Deca | Full | Medium | Base | Dual Base grabbing and processing.
- Up to 26.8 Gb/s aggregate input bandwidth
- FPGA‑plus‑GPU pipeline with Compression (.JPEG, Lossless, Quality+) option
- Real-Time High Dynamic Range (HDR) correction option
- Mini, rugged System for recording & streaming and Edge AI
The FantoVision20 is the ideal choice when your workload lies on GigE Vision & Camera Link High Speed cameras in a compact, low-latency Jetson platform.
Looking for Jetson system with Dual 10GigE only? see FantoVision20-GigE.
Searching for Jetson system with Quad CoaXPress-12 interface? visit FantoVision40-CXP12.
Looking for Jetson system with Camera Link Frame Grabber? refer to FantoVision20-CL.
For Jetson Multi interfaces system with Quad CoaXPress-12 & optional 4× 10 GigE, see FantoVision40.
Looking for a GigE Vision Frame Grabber PCIe card options?
Check out HawkEye-20GigE, Proc10A-40GigE and Proc1C10M-120GigE.
Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE.
Looking for a Camera Link Frame Grabber PCIe card option? Check out HawkEye-CL.
General
Camera Interface
- 2 x 10 GigE Cameras
- 4 x 5 GigE Cameras
- 8 x 2.5 GigE Cameras
- 15 x 1 GigE Cameras
- 1x 80-bit (Deca), Full, Medium or Base Camera Link
- Dual Base
- Optional: PoCL
Complient Interfaces
- GigE Vision 2.1
- Camera Link 2.0
Camera Input Connectors
- 2× SFP+ | 2x RJ45
(Fiber optic / Copper) - 2x SDR26
(mini–Camera Link)
Advanced Features
- On-the -fly selective ROI acquisition
- Link Aggregation mode
- Chunk Data
Host interfaces
- 1x GbE
- 1x USB 3.2 Gen 2 (single lane)
- 1x USB 2.0
- 1x HDMI Out
- 1x Recovery
- 1x Restart
- 1x UART
Storage
NVMe interface: Gen 3 ×1 / Gen 4 ×2 (Depends on the Jetson model)
- Up to 8TB
Image Formats
- Mono, Bayer, RGBA (8, 10, 12, 14 and 16 bits/color)
- RGB (8, 10 and 12 bits/color)
Max. Resolution
- Horizontal: 16 K pixels (64-bit)
- Vertical: 65 K lines
- For configurations supporting higher resolutions- Contact Us
Compression & Image Enhancements
Maximum Acquisition Throughput
26.8 Gb/s
Camera Types
- Area
- Line Scan
GPIO
- 2x RS422 deferential pairs
- 2x Opto-Isolators
- 2x High-Drive output
- 3x LVTTL
- GPIO power out: 2x 12V @ 1.0A aggregate
Streaming & Communication Protocols
- Customizable streaming & communication using NVIDIA tools
- RTSP streaming option
Dimensions
134L x 90W x 60H mm
Weight
750g
Cooling
- Passive cooling
- Active cooling (fan) option
MTBF
MTBF values at 60% confidence and 40 °C case temperature are:
>650Kh (With Passive Cooling)
>650Kh (With Passive Cooling)
Certifications
- CE
- FCC
- CCI
Processors:
Embedded computer
- NVIDIA Jetson Orin NX
- NVIDIA Jetson Xavier NX
- NVIDIA Jetson Nano NX (Subject to minimum order quantity)
Jetson computer resources
NVIDIA Jetson Orin NX 16GB:
- 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: 1x 4K60, 3x 4K30, 6x 1080p60, 12x 1080p30 (H.265), H.264, H.265, AV1
- Video decode: 1x 8K30,2x 4K60, 4x 4K30, 9x 1080p60, 18x 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: 1x 4K60, 2x 4K30, 4x 1080p60, 8x 1080p30 (H.265), H.264, H.265
- Video decode: 2x 4K60, 4x 4K30, 8x 1080p60, 16x 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: 1x 4K60, 2x 4K30, 4x 1080p60, 8x 1080p30 (H.265), H.264, H.265
- Video decode: 2x 4K60, 4x 4K30, 8x 1080p60, 16x 1080p30 (H.265), H.264, H.265, VP9
FPGA Types
Altera Arria 10:
- 160 GX
- 270 GX
- 660 GX
GPU-FPGA interconnectivity
PCIe Gen 3 x4 @ up to 26.4 Gb/s
Environmental Conditions
Temperature Range
- Commercial: 0 °C - 65 °C case temperature
- Industrial: -25 °C - 65 °C case temperature. (Limited FPGA options)
IP Compliance
- IP53-compliant
- For configurations meeting higher IP standards, contact Gidel
Environmental Compliance
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:
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Modular Pre-Configured Features
Gidel provides a range of pre-embedded modules tailored to your specifications—such as real-time compression, HDR, and other advanced features. (See the Options tab for available configurations.) -
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.
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 | 4GB | 2GB | 10GB | 4GB (Industrial) | 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
InfiniVision
Designed for acquisition from a large number of cameras (100+), with an option for embedded real-time compression.
ProcFG
Optimized for line-scan camera acquisition, offering dynamic ROI support along with advanced debugging and analysis tools.
Application Interfaces
GUI Applications
- CameraConfig- For camera discovery and configuration.
- ggvcon- For setting GigE Vision network communication.
APIs
- 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
Third-party software
Camera control Gen<i>Cam based application.
Operation System
Jetson Orin NX:
- Ubuntu 20
- JetPack 6.2.1
- Ubuntu 20
- JetPack 5.1.3
| Name | Description | Type | Size | |
|---|---|---|---|---|
|
FantoVision20
|
Datasheet | 383.8 KB | ||
|
FantoVision20
|
Block Diagram | PNG | 154.5 KB | |
|
FantoVision20 Family
|
Getting Started User Guide | 2.0 MB |
Related Videos
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 vision and frame grabbers at the Embedded World show 2024.
A short video introduction to FantoVision edge AI vision - 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 vision for 10GigE 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 vision combining FPGA and NVIDIA Jetson at Industrial Vision Days conference at VISION 2021 show in Stuttgart, Germany.
Gidel demonstrated a complete real-time object tracking pipeline implemented directly on the FPGA-based frame grabber, eliminating host dependency and overcoming PCIe bandwidth limitations.
The demo showcased deterministic low-latency processing, highlighting Gidel’s ability to execute full vision workflows on FPGA hardware.
Gidel presented a step-by-step demonstration of its FPGA-based object tracking algorithm, highlighting the internal processing stages and real-time debugging capabilities.
The demo illustrated how developers can visualize, analyze, and optimize the complete tracking flow directly on FPGA hardware, enabling faster development and deterministic performance.
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FAQ
The FantoVision20 is a rugged, multi-interface Jetson system designed for hybrid vision environments. It can capture and process from 10GigE Vision and Camera Link cameras simultaneously, supporting:
-
Up to 2 × 10 GigE (or 4 × 5G, 8 × 2.5G, 15 × 1G) cameras.
-
1 × 80-bit (Deca), Full, Medium, or Base Camera Link camera.
-
Dual Base Camera Link cameras.
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Optional PoCL (Power over Camera Link) support.
The system utilizes an Altera FPGA dedicated to the acquisition and synchronization of both the GigE Vision and Camera Link layers. By offloading these intensive hardware tasks, the system ensures low latency and fast data transfer directly to the Jetson’s memory, keeping the Jetson CPU and GPU resources fully available for advanced Edge AI inference and analytics.
Yes. One of the core strengths of the FantoVision20 is the option for modular inline FPGA pre-processing using Gidel’s off-the-shelf IPs. You can immediately implement real-time enhancements—such as High Dynamic Range (HDR), Real-Time Compression (Lossless, JPEG, or Quality+), Dynamic Luminance Balance, and beyond. By performing these tasks on the FPGA, you process the data before it even reaches the host memory.
Virtually zero. Because the acquisition path, synchronization, and modular ISP/compression tasks are performed entirely on the internal FPGA, the Jetson CPU is freed from the heavy lifting of raw data handling. This enables you to dedicate the full power of the NVIDIA Orin NX / Xavier NX to high-level AI inference and complex application logic without performance bottlenecks.
The FantoVision20 provides a dual-development environment. For the GPU, you have full access to NVIDIA CUDA, C/C++, and AI libraries. For the FPGA acquisition and pre-processing layer, it is supported by Gidel’s ProcVision™ Suite, allowing for rapid deployment and customization of the imaging pipeline across both interfaces.
By utilizing Gidel’s InfiniVision™ architecture, the system provides a hardware-based, flexible, and deterministic infrastructure for synchronized acquisition across multiple sensors, even when mixing GigE Vision and Camera Link interfaces. This ensures zero-frame-loss performance and precise temporal alignment across all cameras—a critical requirement for accurate multi-view Edge AI inference.
Absolutely. The FantoVision20 is an ideal choice for recording and streaming applications requiring diverse camera support. It can perform all necessary on-the-fly preprocessing—including high-quality deBayer, HDR, and JPEG compression—on the FPGA. This significantly reduces the data load, allowing for extended recording times and efficient streaming while the Jetson handles real-time control.
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.
Need more? Check out our other products!
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