This project code is forked from https://github.com/DetectionTeamUCAS/FPN_Tensorflow. I have only made minor changes on this wonderful and clear project. Thanks for ...

Abstract: Traditional PCB defect detection methods, such as manual inspection and rule-based Automatic Optical Inspection (AOI), are increasingly inadequate due to their sensitivity to lighting ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

The system, developed by Panevo, a Canadian clear technology and manufacturing analytics company, reportedly achieved approximately 97% detection reliability with minimal false positives of Muskoka’s ...

Abstract: Aiming at the existing PCB defect detection methods that have problems such as low accuracy and more difficult to identify defects, a PCB defect detection algorithm based on improved Yolov8 ...