PCB Defect Detection Methods: A Review of Existing Methods and Potential Enhancements

Abstract

Printed Circuit Board (PCB) serves as the fundamental backbone of the modern electronics industry, providing essential support and connectivity for a wide range of electronic components within electronic devices.This research paper provides an overview of PCB defect detection techniques and different categories of defects.Various defects have been identified using current methods; however, certain defects persist undetected.This paper offers insight that can propel researchers towards innovations in this domain, coupled with a thorough exploration of potential enhancements.A total of twelve papers have been taken into account, and this survey examines the papers spanning from the years 2019 to 2023.The goal is to provide a comprehensive review of cutting-edge techniques, the models used, their accuracies, defects detected, and improvements, intending to advance the field of PCB defect detection.It also outlines potential avenues for further research, making it a valuable resource for researchers seeking to enhance this field in the future.The survey encompasses diverse detection techniques, which include algorithms based on the CNN, MobileNet, YOLO, SSD, and FPN models, etc.By comparing their accuracy, researchers can gain valuable insights into the effectiveness of each approach for different types of PCB defects.The paper also addresses the limitations of existing methods, identifying areas for improvement and future scope.In conclusion, this study is a valuable resource for researchers, engineers, and business professionals involved in the fields of electronics manufacturing and quality control.By consolidating a diverse range of techniques and insights, it paves the way for the development of more sophisticated, accurate, and cost-effective PCB defect detection techniques that guarantee the performance and dependability of electrical equipment in all industries.

Topics & Concepts