Research on surface micro-defect detection method and application

doi:10.12267/j.issn.2096-5931.2021.01.005

Abstract

Abstract: Surface micro-defect detection has a pivotal position in the industrial field. At present, a large number of manual or traditional machine vision methods are still used for surface micro-defect inspection, which leads to unstable defect detection accuracy on the sub-micron level, which are difficult to be fully promoted in the industrial field. The surface micro-defect detection method based on multi-technology fusion combines the latest object imaging technologies, cloud computing, AI and 5G and other cutting-edge technologies to establish a micro defect detection system to accurately detect defects in the micro field with fast recognition speed and high accuracy, low cost, strong traceability, data analysis, intelligent counter-control, etc., which overcomes the shortcomings of traditional detection methods, such as single-point detection, low accuracy, high cost, lagging response, poor analysis, and weak system.Finally, the application of this technology in typical industrial scenarios is discussed.

Key words: Industrial Internet, visual inspection, surface micro-defects, artificial intelligence

CHEN Hu, WANG Cheng, LU Renqian. Research on surface micro-defect detection method and application[J]. Information and Communications Technology and Policy, 2021, 47(1): 20-26.

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http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2021.01.005

http://ictp.caict.ac.cn/EN/Y2021/V47/I1/20

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