L. A. Ferreira, M. A. Souto, D. Fernández, Miguel Carmody, Jorge Cebreiros
{"title":"Smart system for calibration of automotive racks in Logistics 4.0 based on CAD environment","authors":"L. A. Ferreira, M. A. Souto, D. Fernández, Miguel Carmody, Jorge Cebreiros","doi":"10.1109/ETFA.2019.8869118","DOIUrl":null,"url":null,"abstract":"Logistics racks used in the automotive sector for the transport and storage of the parts require a dimensional control with high requirements in terms of tolerance. The high measurement time and cost of commercial solutions leads to the development of more flexible options to deal with these lacks. Therefore, an industrial implementation based on different technologies is shown in this paper. The proposed solution is a novel development involving powerful and user-friendly interface, secure cloud environment, machine vision development and predictive ability. The prototype measures specific elements that compound a rack, by means of an interface based on Computer Aided Design (CAD) environment and a database stored in a cloud server capable of analyze the information through machine learning algorithms.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"62 1","pages":"536-543"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2019.8869118","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
Logistics racks used in the automotive sector for the transport and storage of the parts require a dimensional control with high requirements in terms of tolerance. The high measurement time and cost of commercial solutions leads to the development of more flexible options to deal with these lacks. Therefore, an industrial implementation based on different technologies is shown in this paper. The proposed solution is a novel development involving powerful and user-friendly interface, secure cloud environment, machine vision development and predictive ability. The prototype measures specific elements that compound a rack, by means of an interface based on Computer Aided Design (CAD) environment and a database stored in a cloud server capable of analyze the information through machine learning algorithms.