{"title":"一种药品压包装目视检测系统","authors":"T. Murai, M. Morimoto","doi":"10.1109/RVSP.2013.18","DOIUrl":null,"url":null,"abstract":"To inspect prescription drugs with press-through package (PTP), we propose an automated inspection system which based on computer vision. In the proposed system, we capture PTP drugs and apply hierarchical identification consist of several weak classifiers. In this paper, we report several results of inspection experiments which distinguish about a thousand kinds of PTPs. As a result, we have achieved sufficient recognition rate and processing time.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"56 1","pages":"43-46"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Visual Inspection System for Prescription Drugs in Press through Package\",\"authors\":\"T. Murai, M. Morimoto\",\"doi\":\"10.1109/RVSP.2013.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To inspect prescription drugs with press-through package (PTP), we propose an automated inspection system which based on computer vision. In the proposed system, we capture PTP drugs and apply hierarchical identification consist of several weak classifiers. In this paper, we report several results of inspection experiments which distinguish about a thousand kinds of PTPs. As a result, we have achieved sufficient recognition rate and processing time.\",\"PeriodicalId\":6585,\"journal\":{\"name\":\"2013 Second International Conference on Robot, Vision and Signal Processing\",\"volume\":\"56 1\",\"pages\":\"43-46\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Second International Conference on Robot, Vision and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RVSP.2013.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Second International Conference on Robot, Vision and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RVSP.2013.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Visual Inspection System for Prescription Drugs in Press through Package
To inspect prescription drugs with press-through package (PTP), we propose an automated inspection system which based on computer vision. In the proposed system, we capture PTP drugs and apply hierarchical identification consist of several weak classifiers. In this paper, we report several results of inspection experiments which distinguish about a thousand kinds of PTPs. As a result, we have achieved sufficient recognition rate and processing time.
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