Qiaochu Zhao, Ittetsu Taniguchi, Makoto Nakamura, T. Onoye
{"title":"An Adaptive Parts Counting Method based on Orthogonal Intensity Distribution Analysis for Industrial Vision Systems","authors":"Qiaochu Zhao, Ittetsu Taniguchi, Makoto Nakamura, T. Onoye","doi":"10.1109/icce-asia46551.2019.8942225","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a refined counting method of vibratory parts feeders for industrial vision system. Frames of feeding parts are continuously monitored by industrial camera at high speed, therefore efficient and accurate counting method is critical to adopt. Previous research converted two dimensional spatial signal of parts into a time series of one dimensional signal thus achieved efficient counting. In this paper, we further suppressed the counting error in previous research by also taking the variance of feeding speed of each parts into consideration meanwhile conserve its efficiency.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce-asia46551.2019.8942225","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
In this paper, we proposed a refined counting method of vibratory parts feeders for industrial vision system. Frames of feeding parts are continuously monitored by industrial camera at high speed, therefore efficient and accurate counting method is critical to adopt. Previous research converted two dimensional spatial signal of parts into a time series of one dimensional signal thus achieved efficient counting. In this paper, we further suppressed the counting error in previous research by also taking the variance of feeding speed of each parts into consideration meanwhile conserve its efficiency.