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Research Progress of Visual Inspection Technology of Steel Products-A Review

期刊

APPLIED SCIENCES-BASEL
卷 8, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/app8112195

关键词

defect inspection; image processing; feature extraction; classification methods

资金

  1. National Natural Science Foundation of China [51875266]
  2. Jiangsu Province Graduate Research and Innovation Program [KYCX18-2227]
  3. Research Innovation Program for College Graduates of Jiangsu [KYLX16-0880]
  4. Industry-Academia Prospect Research Foundation of Jiangsu [BY2016066-06]

向作者/读者索取更多资源

The automation and intellectualization of the manufacturing processes in the iron and steel industry needs the strong support of inspection technologies, which play an important role in the field of quality control. At present, visual inspection technology based on image processing has an absolute advantage because of its intuitive nature, convenience, and efficiency. A major breakthrough in this field can be achieved if sufficient research regarding visual inspection technologies is undertaken. Therefore, the purpose of this article is to study the latest developments in steel inspection relating to the detected object, system hardware, and system software, existing problems of current inspection technologies, and future research directions. The paper mainly focuses on the research status and trends of inspection technology. The network framework based on deep learning provides space for the development of end-to-end mode inspection technology, which would greatly promote the implementation of intelligent manufacturing.

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