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FantoVision Series Edge Computer / AI Edge Calculator
Embedded Edge Computing for 20Gb/s & 40Gb/s High Bandwidth Image Acquisition, Recording and Processing Based on FPGA and GPUs
- Videos, Machine Vision, and Edge AI Inference
- Open and customizable image processing with embedded AI/image processing on GPUs and FPGAs
- New compact, cost-effective, scalable vision and imaging solutions for high-bandwidth, low-latency applications
Choosing the right edge calculator for your project
Hongke's partner Gidel carries a wide range of products, and the technological cornerstone of excellence.
VST FantoVision 20 Edge Calculator
- Up to 20 Gb/s bandwidth, 2x10GigE interfaces
- Camera Link: up to 80 bit/double Base
- FPGA: Arria 10 - 160/270/660
- Calculator: Nvidia Jetson Xavier NX
- Compact size: 134 x 90 x 60 mm
System Key Features
- Adopts a card camera interface:FantoVision 20: up to 2 x 10GigE-Vision or up to 2 x 12.5 G, Camera Link (80 bit/Dual-Base)
- Computer. Nvidia Jetson Xavier NX
- Small size:134 x 90 x 60 mm3 (5.28” x 3.54” x 2.36”)
- Adoption of a hub card FPGA:Arria 10 - 160/270/660
- Adoption of card memory:DDR4 - 2/4/8 GB
- Direct transfer of image buffer from captor to GPU memory
- Image processing:In Jetson - Supported by Nvidia JetPack SDK
- On FPGA (optional) - supported by ProcVision Suite
- The host interface:1GbE, USB 3.1/2.0, HDMI, UART, Recovery, Restart
- GPIO:6 x RS422, 4 x Opto-isolator, RS232, 4 x External IN (0-5V), External Reset, 6 x High Output Drivers (50V/0.5A), 2 x Output Drivers (12V/0.5A), 4 x Ext I/O (5V tolerant), 2 x Output Drivers (12V/0.5A), 4 x Ext I/O (5V tolerant), 4 x Ext I/O (5V tolerant). External Reset)
- Extreme power consumption:15-40 W (depending on system configuration)
- NVMe (optional) high-capacity SSDs
- Passive or active cooling
Embedded Computer Options
System Block Diagram
FPGA Options
VST FantoVision 40 Edge Calculator
- Up to 40 Gb/s bandwidth, 4 x 10GigE-Vision or up to 4x12.5 G 4 x CoaXPress 2.1
- Calculator: NXNVIDIA Jetson Orin or Xavier NX SoM
- FPGA: Arria 10-160/270/660
- Compact size: 134 x 90 x 60mm
System Key Features
- Adopts a card camera interface:FantoVision 40: up to 4 x CoaXPress 2.1 or 4 x 10GigE
- Computer.Nvidia Jetson Xavier NX
- Small size:134 x 90 x 60 mm3 (5.28” x 3.54” x 2.36”)
- Adoption of a hub card FPGA:Arria 10 - 160/270/660
- Adoption of card memory:DDR4 - 2/4/8 GB
- Direct transfer of image buffer from captor to GPU memory
- Image processing:In Jetson - Supported by Nvidia JetPack SDK
- On FPGA (optional) - supported by ProcVision Suite
- The host interface:1GbE, USB 3.1/2.0, HDMI, UART, Recovery, Restart
- GPIO:6 x RS422, 4 x Opto-isolator, RS232, 4 x External IN (0-5V), External Reset, 6 x High Output Drivers (50V/0.5A), 2 x Output Drivers (12V/0.5A), 4 x Ext I/O (5V tolerant), 2 x Output Drivers (12V/0.5A), 4 x Ext I/O (5V tolerant), 4 x Ext I/O (5V tolerant). External Reset)
- Extreme power consumption:15-40 W (depending on system configuration)
- NVMe (optional) high-capacity SSDs
- Passive or active cooling
Embedded Computer Options
System Block Diagram
FPGA Options
Application Scenarios
Focusing on the vision field, covering large-scale industries; based on application scenarios, solving sub-divided needs. We can also customize integrated solutions for your project, please contact us for more information.Contact Us
Medical AI Detection (Infrared Camera)
AI detection application for medical field by combining with infrared camera. The infrared camera captures the infrared radiation emitted by the human body and, combined with the high-performance processing power of Gidel's edge computer, enables real-time analysis and diagnosis of medical images, helping doctors improve diagnostic accuracy and efficiency.
Game Broadcast
By connecting to a game console or camera, the edge computer can instantly capture game footage or player performance and combine it with powerful image processing capabilities to realize high-quality live game broadcasting.
Sports Safety
In the field of sports, edge computers can be used to monitor and analyze athletes' performance and movements to improve sports safety and training effectiveness. By connecting to a camera or sensor, edge computers can instantly capture an athlete's movement trajectory and posture, analyze the data and provide feedback to help coaches and athletes improve training and performance.
Eagle Eye System
Edge computers are used in the Eagle Eye system for surveillance and identification of specific targets. By combining high-definition cameras or infrared cameras, the Edge Computer can realize real-time tracking and identification of targets for security surveillance, drone navigation and other fields.
Drone Gathering
In the field of drone, edge computer can also be used for image acquisition and data processing. A drone equipped with an edge computer can instantly capture aerial footage and perform image processing and analysis for applications such as agricultural monitoring, environmental monitoring, and geological exploration.
Drone Gathering
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One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her not to do so, because
- Phone:+1 (859) 254-6589
- Email:info@example.com
AR/VR
The Edge PC can be used to support the development and deployment of AR applications and the construction and presentation of VR virtual reality environments. By connecting with AR glasses or AR headsets, edge computers can provide powerful computing and image processing capabilities to realize real-time perception and interaction with virtual reality scenes. By connecting with VR glasses or VR headsets, edge computers can provide high-performance image and sound processing capabilities to realize the rendering and interaction of virtual reality scenes. It can be used in gaming, training, simulation and other fields.
AR/VR
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth. It is a paradisematic country, in which roasted parts of sentences fly into your mouth. Even the all-powerful Pointing has no control about the blind texts it is an almost orthographic life
One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her not to do so, because
- Phone:+1 (859) 254-6589
- Email:info@example.com
Product Advantage
Outstanding, no fear of comparison! Six core advantages, leading machine vision first!
High Speed Multi-Data Interface
10GigE, CameraLink, CoaXPress
High-speed image acquisition and pre-processing
Built-in Intel Arria 10 FPGA chip
High immediacy
Combines real-time image processing and/or compression with Nvidia Jetson embedded computers
High AI performance
Up to 100 TOPS AI power
Large storage capacity
Up to 2TB+ SSDs for demanding real-time processing, compression and recording tasks
small dimension
134mm x 90mm x 60 mm
Technical Support
Professional technical team to serve you: with many years of experience in machine vision and optoelectronic inspection, customized a number of rich and mature landing projects.
As a provider specializing in machine vision and optoelectronic inspection solutions, Avision is also committed to providing you with a range of paid technical services related to this product, aiming to help you succeed in your project in the most cost-effective way. Please contact us if you need technical services related to this product!
Frequently Asked Questions
Technical support and paid services to drive your project to the limit.
- Video Interface: 10GigE, CameraLink, CoaXPress
- FPGA Interface: 2 x RS422, 2 x Optical Isolator, 2 x Output Driver (30V/0.5A), 1 x GPIO 3.3V Bidirectional (5V Compatible), 2 x RS422 / GPIO 3.3V Bidirectional (5V Compatible), JTAG;
- Host Interface: RS232, 1GbE, USB 3.1/2.0, HDMI, UART
- Up to 100 TOPS AI Computing
15~45W (depending on system configuration)
NVMe 100 GB - 2 TB Solid State Drives
FantoVision has a unique open architecture for embedded AI/imaging processing on GPUs and FPGAs. Software engineers can program their algorithms on GPUs using CUDA C/C++ and NVIDIA's AI libraries.
You can contact our staff and provide project information, our machine vision team will provide you with professional selection service.