{"title":"A transmission-type pinhole detection system for high-speed aluminum foil","authors":"Xinbin Luo, Shan Fu, Xiu-Qin Huang, Qing-Qing Xing","doi":"10.1109/ICMLC.2014.7009119","DOIUrl":null,"url":null,"abstract":"A transmission-type pinhole detection system is proposed for high-speed aluminum foil, which could automatically detect and identify pinhole defects on the aluminum foil strip. The transmitting light passes through the pinholes in the foil strip and forms a bright spot area in the camera image to detect the pinholes. However, the pseudo-defects generated by the external factors will affect the identification of pinhole defects; thus, a unique mechanical device is used to shield the external interference. On this basis, a simple, fast, and effective detection and classification algorithm is adopted to meet the requirements of real-time detection and identification. Subsequently, based on the demand of production application, a novel algorithm to merge pinhole defects is designed. This system has been evaluated and applied in an aluminum plant and the field application results show that it is a stable and reliable system for real-time pinhole detection.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"17 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2014.7009119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A transmission-type pinhole detection system is proposed for high-speed aluminum foil, which could automatically detect and identify pinhole defects on the aluminum foil strip. The transmitting light passes through the pinholes in the foil strip and forms a bright spot area in the camera image to detect the pinholes. However, the pseudo-defects generated by the external factors will affect the identification of pinhole defects; thus, a unique mechanical device is used to shield the external interference. On this basis, a simple, fast, and effective detection and classification algorithm is adopted to meet the requirements of real-time detection and identification. Subsequently, based on the demand of production application, a novel algorithm to merge pinhole defects is designed. This system has been evaluated and applied in an aluminum plant and the field application results show that it is a stable and reliable system for real-time pinhole detection.