Study on Machine Learning Based Intelligent Defect Detection System

Study on Machine Learning Based Intelligent Defect Detection System

In the paper, it is proposed to develop a machine learning based intelligent defect detection system for metal products. The common machine vision system has the surface (stain, shallow pit, shallow tumor, scratches, Edge defects, pattern defects) detection, or for the processing of the size, diamet...

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Bibliographic Details
Main Authors: Huang Chung-Chi, Lin Xin-Pu
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Subjects:
convolution neural network
generative adversarial network
machine learning
intelligent detection system
metal products
computer vision system
Online Access:https://doi.org/10.1051/matecconf/201820101010

Internet

https://doi.org/10.1051/matecconf/201820101010

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