A Survey on Automatic Printed Circuit Board Defect Detection Techniques

Manual inspection of printed circuit board (PCB) is very time consuming and not a reliable technique, as some defects may left unseen due to human errors. The solution is provided by implementing Machine learning and Deep learning based algorithms which result in quality inspection. For better inspection, a number of novel deep leaning-based methods have been proposed. In this paper we have discussed various machine learning and deep learning based techniques which are used for PCB defect detection automatically. We have covered recent inspection models for single layer and multilayer PCBs.