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...

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Bibliographic Details
Main Authors: Joon-Hyung Park, Yeong-Seok Kim, Hwi Seo, Yeong-Jun Cho
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/5/2766