Fast vision-based surface inspection of defects for steel billets

Chao Yung Hsu, Bing Shiou Ho, Li Wei Kang, Ming Fang Weng, Chili Yang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Steel has played a leading role in the development of human civilization and technology. To achieve the goal of industry 4.0 for steel industry, intelligent automated manufacturing becomes increasingly important. One of the key steps on the automatic production line of steel pj-oducts is automatic inspection of surface detects. In this paper, we propose a fast vision-based surface inspection framework for defects on continuous casting steel billets. The proposed method relies only on simple pixel-domain vision-based operations to achieve fast and accurate inspection of surface defects. Experimental results have demonstrated that our method efficiently achieves good inspection accuracy on corner and sponge cracks on steel billets.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027439
DOIs
StatePublished - 3 Jan 2017
Event2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016 - Seoul, Korea, Republic of
Duration: 26 Oct 201628 Oct 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016

Conference

Conference2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016
Country/TerritoryKorea, Republic of
CitySeoul
Period26/10/1628/10/16

Keywords

  • Automated optical inspection
  • Billet images
  • Defect detection
  • Defect inspection
  • Steel products

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