PCB Defect Detection Based on YOLOv8

Abstract Printed Circuit Boards (PCBs) are critical components in modern electronic devices, and their quality directly impacts the performance and reliability of electronic products. Traditional PCB defect detection methods rely on manual inspection or conventional machine vision techniques, which are time-consuming, labor-intensive, and prone to human error. This paper proposes an automated PCB defect detection…