The Defect Detection accelerated application is a machine vision app that automates detection of defects, (e.g., fruits, PCBs), and sorting in high-speed factory pipelines by using Vitis Vision library functions.
No, the app does not require any experience in FPGA design.
This application is free of charge from AMD Xilinx.
No, the application has been optimized and tested for onsemi’s AR0144. To adapt the application for another sensor, you will have to update the design and optimize the application for the new sensor.
Learn all about adaptive SOMs, including examples of why and how they can be deployed in next-generation edge applications, and how smart vision providers benefit from the performance, flexibility, and rapid development that can only be achieved by an adaptive SOM.
Demand for robotics is accelerating rapidly. Building a robot that is safe and secure and can operate alongside humans is difficult enough. But getting these technologies working together can be even more challenging. Complicating matters is the addition of machine learning and artificial intelligence which is making it more difficult to keep up with computational demands. Roboticists are turning toward adaptive computing platforms which offer lower latency and deterministic, multi-axis control with built-in safety and security on an integrated, adaptable platform that is expandable for the future. Read the eBook to learn more.