In the production and manufacturing of Printed Circuit Boards (PCBs), defects can arise negatively impact to both product performance and usability. To tackle the issue of false detections stemming ...

This paper presents YOLOv11-PCB, an enhanced deep learning framework specifically designed for automated defect detection in Printed Circuit Boards (PCBs). PCBs are fundamental components in modern ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...