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机器视觉在钢化玻璃缺陷检测中的应用研究

杨杰 卢盛林 赵晓芳

计算机技术与发展Issue(3):211-214,4.
计算机技术与发展Issue(3):211-214,4.DOI:10.3969/j.issn.1673-629X.2013.03.053

机器视觉在钢化玻璃缺陷检测中的应用研究

Application and Research of Machine Vision in Tempered Glass Defect Inspection

杨杰 1卢盛林 2赵晓芳1

作者信息

  • 1. 东莞理工学院 电子工程学院,广东 东莞 523808
  • 2. 东莞理工学院 机械工程学院,广东 东莞 523808
  • 折叠

摘要

Abstract

Based on the study of several facts that may cause self-broken of tempered glass,a machine vision inspection technology is a-dopted to detect the defects of the tempered glass for the limitations of manual inspection of defects in glass and the optical characteristic differences of defect glass and defect-free glass. First analyze the basic optical principles of the tempered glass defect detection,and then give the basic structure design of the defect detection system,finally the technical points of the machine vision inspection system in view of the self-broken of tempered glass are also mentioned. The test results show that the use of machine vision technology can detect the de-fects rapidly,reliably and accurately,avoiding the self-broken in using.

关键词

钢化玻璃/自爆/机器视觉/缺陷检测

Key words

tempered glass/self-broken/machine vision/defect detection

分类

信息技术与安全科学

引用本文复制引用

杨杰,卢盛林,赵晓芳..机器视觉在钢化玻璃缺陷检测中的应用研究[J].计算机技术与发展,2013,(3):211-214,4.

基金项目

东莞市科技计划项目(201010814008) (201010814008)

计算机技术与发展

OACSTPCD

1673-629X

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