FantoVision20-GigE:

Mini Jetson GigE Vision Frame Grabber & Edge AI System

Integrated Dual 10 GigE Vision Interface with NVIDIA Jetson

High-speed Jetson GigE bandwidth up to 20 Gb/s
Integrated Dual 10 GigE Vision Frame Grabber interface
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-GigE: Jetson GigE Vision Frame Grabber System

The FantoVision20-GigE is a rugged Jetson system with a fully integrated GigE Vision frame grabber. Based on the NVIDIA Jetson Orin NX / Xavier NX, it is specifically designed to capture and process data from 10 GigE Vision cameras in real-time.

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 GigE Performance and Real-Time Processing

The FantoVision20-GigE is a plug-and-play dual 10GigE Vision frame grabber available as 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.
Dynamic Luminance Balance – Preserves consistent brightness under changing illumination.
Gamma Correction – Optimizes brightness and contrast for improved clarity.

Real-time compression with Dynamic ROI delivers:

- Extended recording times without compromising quality.
- Lower transmission bandwidth for efficient data handling.

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‑GigE?

Built-in Dual 10GigE Vision Frame Grabber for flexible, long-reach Ethernet integration
Up to 20 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-GigE is the ideal choice when your workload lies on GigE Vision High Speed cameras in a compact, low-latency Jetson platform.

For Jetson Multi interfaces system with Camera Link & Dual 10GigE, see FantoVision20.
Looking for Jetson system with Camera Link interface? visit FantoVision20-CL.
For Jetson Multi interfaces system with Quad CoaXPress-12 & optional 4× 10 GigE, see FantoVision40.
Looking for Jetson system with Quad CoaXPress-12 only? refer to FantoVision40-CXP12.

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.

General

Camera Interface

2 x 10 GigE Cameras
4 x 5 GigE Cameras
8 x 2.5 GigE Cameras
15 x 1 GigE Cameras

Complient Interfaces

GigE Vision 2.1

Camera Input Connectors

2 x SFP+ | 2 x RJ45
(Fiber optic / Copper)

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

Max USB 3.x power allocation: ≤ 4 W

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

On Jetson Compression:

H.264
H.265

On FPGA Compression Options:

On FPGA Image Enhancements Options:

High Dynamic Range (HDR) correction

For more modular image-processing options - Contact Us

Maximum Acquisition Throughput

20 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)

Certifications

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

NVIDIA Jetson Xavier NX 16GB:

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

NVIDIA Jetson Xavier NX 8GB:

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

NVIDIA Jetson Model

Orin NX 16GB
Xavier NX 8GB | 16GB
Nano NX: (Subject to minimum order quantity)

FPGA

Arria 10 160 GX: 2GB | 4GB
Arria 10 270 GX: 2GB | 10GB and 4GB (Industrial Temperature)
Arria 10 660 GX: 9GB
DRAM Throughput: 2GB – 10GB DDR4 @ up to 24GB/s

Camera Interface

Customized User Protocol Option

Storage

NVMe interface: Gen 3 ×1 / Gen 4 ×2 (Depends on the Jetson model)

100GB
2TB
4TB
8TB
1TB (Subject to minimum order quantity)

Modular Real-Time
Image Processing

Gidel FPGA flow can integrate advanced image processing algorithms, including:

Compression encoders: JPEG | Lossless | Quality+
High Dynamic Range (HDR) correction from a single exposure
White Balance – Maintains color accuracy across variable lighting conditions
Dynamic Luminance Balance – Preserves consistent brightness under changing illumination
Morphological operations such as Open/Close using a round structuring element

User FPGA code

Users can integrate their own FPGA code with Gidel’s IPs

For more information, refer to the FPGA Processing tab

Streaming & Communication Protocols

RTSP streaming Option

Cooling

Passive cooling
Active cooling (fan) option

Ruggedized

Extended Vibration Resistance (Recommended for harsh environments)

Temperature Range

Industrial: -25 °C - 65 °C case temperature. (Limited FPGA options)

IP Compliance

For custom IP ratings or ratings above IP53, contact Gidel

FantoVision20-GigE offers unmatched modularity: select the Jetson SoM, FPGA, storage, cooling, and beyond to fit your exact needs.

Looking to adapt the FantoVision20-GigE Edge Computer according to your Vision?

Contact Our Experts

The FantoVision20-GigE Edge Computer offers two powerful customization paths to meet specific application requirements:

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-GigE: FPGA resources comparison

Model	FV20GV16/164	FV20GV272/27/27I	FV20GV66
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
DRAM capacity	2GB \| 4GB	2GB \| 10GB \| 4GB (Industrial)	9GB
DRAM sustain bandwidth	Up to 12.8GB/s	Up to 24GB/s	Up to 15.2GB/s
Max Bandwidth for SFP+	12.5Gb/s	12.5Gb/s	12.5Gb/s

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

Jetson Xavier NX:

Ubuntu 20
JetPack 5.1.3

Name	Description	Type	Size
FantoVision20-GigE	Datasheet	PDF	385.5 KB
FantoVision20-GigE	Block Diagram	PNG	165.7 KB
FantoVision20	Getting Started User Guide	PDF	2.0 MB

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 computers and frame grabbers at the Embedded World show 2024.

A short video introduction to FantoVision edge computers - 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 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 Computer 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.