{"title":"On-Line Inspection and Sorting System for Mechanical Parts Based on Machine Vision","authors":"Chunling Jiang, Q. Wei, B. Feng","doi":"10.1145/3386415.3387105","DOIUrl":null,"url":null,"abstract":"Based on machine vision, this paper uses Matlab to perform image processing and image recognition on the image signals of mechanical parts collected, and transmits the control signals wirelessly through Zigbee to realize on-line detection and sorting of mechanical parts. Taking a complex workpiece with multiple circular holes as an example, the structure and implementation method of the system are introduced. The system has the advantages of low cost, high precision and easy installation. Its non-contact, real-time, flexibility and accuracy can effectively solve the problems of traditional detection methods.","PeriodicalId":250211,"journal":{"name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386415.3387105","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
Based on machine vision, this paper uses Matlab to perform image processing and image recognition on the image signals of mechanical parts collected, and transmits the control signals wirelessly through Zigbee to realize on-line detection and sorting of mechanical parts. Taking a complex workpiece with multiple circular holes as an example, the structure and implementation method of the system are introduced. The system has the advantages of low cost, high precision and easy installation. Its non-contact, real-time, flexibility and accuracy can effectively solve the problems of traditional detection methods.