Automated Machine Learning System for Defect Detection on Cylindrical Metal Surfaces

Automated Machine Learning System for Defect Detection on Cylindrical Metal Surfaces

Metal workpieces are indispensable in the manufacturing industry. Surface defects affect the appearance and efficiency of a workpiece and reduce the safety of manufactured products. Therefore, products must be inspected for surface defects, such as scratches, dirt, and chips. The traditional manual...

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Bibliographic Details
Main Authors:	Yi-Cheng Huang, Kuo-Chun Hung, Jun-Chang Lin
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Sensors
Subjects:	automated machine learning (AutoML) convolutional neural network (CNN) metal surface defect
Online Access:	https://www.mdpi.com/1424-8220/22/24/9783

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