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Automatic detection system for surface defects of home appliances based on machine vision  

Lee, HyunJun ((주)휴넷가이아)
Jeong, HeeJa ((주)휴넷가이아)
Lee, JangGoon ((주)다윈테크)
Kim, NamHo (호남대학교 컴퓨터공학과)
Publication Information
Smart Media Journal / v.11, no.9, 2022 , pp. 47-55 More about this Journal
Abstract
Quality control in the smart factory manufacturing process is an important factor. Currently, quality inspection of home appliance manufacturing parts produced by the mold process is mostly performed with the naked eye of the operator, resulting in a high error rate of inspection. In order to improve the quality competition, an automatic defect detection system was designed and implemented. The proposed system acquires an image by photographing an object with a high-performance scan camera at a specific location, and reads defective products due to scratches, dents, and foreign substances according to the vision inspection algorithm. In this study, the depth-based branch decision algorithm (DBD) was developed to increase the recognition rate of defects due to scratches, and the accuracy was improved.
Keywords
Machine Vision; Surface Defects; Smart Factory; Quality Inspection;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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