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.
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.
Kria™ adaptive System-on-Module (SOM) devices from AMD play an important role in electric drive control. They can optimize performance, help a motor run more efficiently, reduce power consumption, mitigate noise, cut vibration, and detect potential failures before they happen. Download our new motor control eBook to learn more!
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 designed to be 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.
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