Abstract: The proposed work aims to implement a YOLOv10m-based neural network model for automated PCB defect detection in order to overcome the constraints of conventional, manual and semi-automated ...

Abstract: The defects of the Printed Circuit Board(PCB) directly affect the performance and reliability of electronic products. Therefore, detecting PCB defects is crucial. Lightweight models in PCB ...