Mukhil Azhagan M. S, Dhwani Mehta, Hangwei Lu, Sudarshan Agrawal, M. Tehranipoor, D. Woodard, N. Asadizanjani, Praveen Chawla
{"title":"A Review on Automatic Bill of Material Generation and Visual Inspection on PCBs","authors":"Mukhil Azhagan M. S, Dhwani Mehta, Hangwei Lu, Sudarshan Agrawal, M. Tehranipoor, D. Woodard, N. Asadizanjani, Praveen Chawla","doi":"10.31399/asm.cp.istfa2019p0256","DOIUrl":null,"url":null,"abstract":"\n Globalization and complexity of the PCB supply chain has made hardware assurance a challenging task. An automated system to extract the Bill of Materials (BoM) can save time and resources during the authentication process, however, there are numerous imaging modalities and image analysis techniques that can be used to create such a system. In this paper we review different imaging modalities and their pros and cons for automatic PCB inspection. In addition, image analysis techniques commonly used for such images are reviewed in a systematic way to provide a direction for future research in this area.\n Index Terms—Component Detection, PCB, Authentication, Image Analysis, Machine Learning","PeriodicalId":259671,"journal":{"name":"ISTFA 2019: Conference Proceedings from the 45th International Symposium for Testing and Failure Analysis","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISTFA 2019: Conference Proceedings from the 45th International Symposium for Testing and Failure Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31399/asm.cp.istfa2019p0256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Globalization and complexity of the PCB supply chain has made hardware assurance a challenging task. An automated system to extract the Bill of Materials (BoM) can save time and resources during the authentication process, however, there are numerous imaging modalities and image analysis techniques that can be used to create such a system. In this paper we review different imaging modalities and their pros and cons for automatic PCB inspection. In addition, image analysis techniques commonly used for such images are reviewed in a systematic way to provide a direction for future research in this area.
Index Terms—Component Detection, PCB, Authentication, Image Analysis, Machine Learning