Printed Circuit Board Defect Detection Methods Based on Image Processing, Machine Learning and Deep Learning: A Survey

Printed circuit boards (PCBs) are a nearly ubiquitous component of every kind electronic device. With the rapid development integrated and semiconductor technology, size PCB can shrink down to very tiny dimension. Therefore, high-precision defect detection in PCBs needs be achieved. This paper reviews various methods by analysing more than 100 related articles from 1990 2022. The methodology how prepare this overview is firstly introduced. Secondly, manual reviewed briefly. Then, traditional image processing-based, machine learning-based deep discussed detail. Their algorithms, procedures, performances, advantages limitations explained compared. additional believed provide insightful viewpoints, which would help researchers understand current research trends perform future work detection.