{"title":"Enhanced vision algorithm for concurrent assessment of Identification Marks for glass manufacturing","authors":"C. Vázquez, Anel Garza, Miguel Arroyo","doi":"10.1109/ROMA.2016.7847827","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to present a robust and a reliable methodology based on concurrent evaluation of Identification Marks for Automotive Glass. The proposed methodology is modeled using Petri Nets and a test implementation of the algorithm was successfully achieved to evaluate a set of samples.","PeriodicalId":409977,"journal":{"name":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMA.2016.7847827","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
The aim of this paper is to present a robust and a reliable methodology based on concurrent evaluation of Identification Marks for Automotive Glass. The proposed methodology is modeled using Petri Nets and a test implementation of the algorithm was successfully achieved to evaluate a set of samples.