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http://dx.doi.org/10.6109/jkiice.2021.25.6.849

Vision Based Tire Mold Defect Inspection and Printing System  

Lee, Si-Woong (Department of Information and Communication Engineering, Hanbat National University)
Kang, Hyun-Soo (School of Information and Communication Engineering, Chungbuk National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.6, 2021 , pp. 849-852 More about this Journal
Abstract
This paper presents a vision based tire mold inspection system where mold defects are inspected and the sizes of specific parts of the mold are measured. There are a lot of challenging issues as letters and pictures of intaglio are engraved on a bright surface of the tire mold. To solve the issues, we carefully selected a line-scan camera and a line light. In addition, we used PLC to control the mechanical parts. The developed system provides inspection of misspelled and deformed letters as well as a variety of the functions such as size measurement of engraved regions and inspection report file creation.
Keywords
Line-scanned image; Pattern matching; Tire mold; Defect detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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