Machine & Computer Vision

Integration, Intelligence, and Highest Performance/Watt enabling Compact and Capable Vision

Overview

Xilinx FPGAs have been widely adopted in machine vision sensor interfaces and frame grabbers due to high bandwidth interfaces and low latency pixel-level manipulations. With the rise of smart cameras and other forms of embedded visual intelligence, Xilinx SoCs are the optimal solution for compact and capable vision applications due to single chip integration of:

In-house or ecosystem IP support for the latest versions of MIPI, SLVS-EC, LVDS, USBVision, GigE Vison, CoaXPress, CameraLink, and other vision interfaces, including multi-camera and multi-display support at the highest frame rates
No-charge, optimized OpenCV functions, called xfOpenCV, to implement existing user vision algorithms on ARM processors or FPGA fabric or across both domains
Heterogeneous architecture and SDSoC toolflow maximizes performance/watt by offloading or accelerating bottlenecks in processor-only implementations
Real-time analytics and machine learning supported by in-house or ecosystem solutions
Connectivity over diverse Industrial Ethernet standards, including support for Time-Sensitive Networking (TSN)
IEC 62443 cybersecurity with built-in hardware root-of-trust
Integration of control, IEC 61508 SIL 3 functional safety and other functions for vision-guided robotics and non-standalone camera applications

Choose from an extensive assortment of kits from Xilinx and ecosystem partners that best match your needs by selecting the boards and kits button above and filtering by board function.

Design Examples	Description	Device Support
Click to enlarge	Machine Vision Interface Design With Spartan-7 FPGA Flexibility to support multiple sensors and connectivity options Programmable system integration MicroBlaze™ soft processor for host processor	Spartan-7 FPGA
Click to enlarge	Machine Vision Interface and ISP Design With Artix-7 FPGA FPGA-based solution offering a high speed imager interface, high-speed image processing, and video pre-processing integrated with the latest, high performance machine vision connectivity standards Discrete functional components can be integrated in a single device The Microblaze soft processor allows for system management, delivering a high performance system	Artix-7 FPGA
Click to enlarge	Machine Vision System Design With Zynq-7000S SoC ARM® Cortex™-A9 for advanced metadata handling and external system communications Flexibility to support multiple sensors and connectivity options with programmable logic Hardware differentiation and analytics through in-system-programmable logic Increase design productivity with SDSoC C-based design flow	Zynq-7000S SoC
Click to enlarge	Machine Vision Smart Camera Design with Zynq-7000 SoC Single-chip Zynq-based integration of image processing, video analytics, custom IP and flexible machine vision interface Significant increase in system performance, considerable BOM and cost reduction, and reduced form factor Zynq SoC devices provide a convenient method to implement a machine vision system All key functions like processor/controller, DSP, and a logic implementation can be designed in a single, highly integrated Zynq device	Zynq UltraScale+ CG, EG, EV MPSoC Zynq-7000 SoC

Documentation

Machine Vision Solutions Brochure

Edge Analytics with Python on Zynq (PYNQ)

Intelligent IIoT Edge Platform

Solution Stack

Some Industrial IoT products need all elements of the Xilinx IIoT Solutions Stack, all need some. The Xilinx IIoT Solutions Stack is comprised of optimized Xilinx and Ecosystem building blocks and solutions used across Industrial and Healthcare IoT platforms. Starting from scratch is never something you will have to do with a Xilinx-based Industrial IoT system. Minimize development time and cost and maximize design reuse on your next Industrial IoT platform by exploring the different elements of the Xilinx IIoT Solutions stack.