Abstract
Abstract
Although my country is a big country in steel production, the development of domestic steel plate surface defect detection technology is backward, and most small and medium-sized enterprises are still at the stage of manual visual inspection. This paper investigated by machine vision defects in the steel sheet surface detection system application, in order to improve the steel surface defect detection rate. In this paper, a set of steel plate surface defect detection system is proposed based on machine vision, the hardware modules and selection methods of the system are designed, and four surface defects of holes, scratches, zinc scars and cracks are verified, and good experimental results are obtained. Using three different speeds for detection, the detection rate of steel surface defects reached more than 90%, and the recognition rate reached more than 80%. Research shows that the system in this paper can detect defects on the surface of steel plates well.
Subject
General Physics and Astronomy
Cited by
1 articles.
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