Flexible circuit boards have developed rapidly in recent years. The variety of FPC board types and the miniaturization of products mean that traditional manual inspection can no longer meet the development needs of FPC boards. Machine vision-based detection methods provide a way to solve the automation detection of FPC boards. This project analyzed the current research status of machine vision detection systems at home and abroad, improved some algorithms applied to FPC flexible circuit board defect detection, and proposed detection algorithms based on global and local defects, which have been verified to meet the requirements of online detection.

Product application case:Mainly used in the panel industry