Analysis of Training Deep Learning Models for PCB Defect Detection

Recently, many companies have introduced automated defect detection methods for defect-free PCB manufacturing. In particular, deep learning-based image understanding methods are very widely used. In this study, we present an analysis of training deep learning models to perform PCB defect detection s...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Joon-Hyung Park, Yeong-Seok Kim, Hwi Seo, Yeong-Jun Cho
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Subjects:	defect inspection deep learning machine vision product inspection smart manufacturing smart factory
Online Access:	https://www.mdpi.com/1424-8220/23/5/2766