{"title":"基于CNN方法的垃圾收集系统材料识别","authors":"F. Marin, M. Marin, G. Gurău","doi":"10.35219/mms.2022.4.20","DOIUrl":null,"url":null,"abstract":"Material identification has been proved to be of important interest for different fields such as industrial automation, autonomous robots The autonomous robots for garbage collection, such as aquatic-cleaning [3] or garbage gathering [6] need the algorithm for identification of materials. Automatic conveyer identification for garbage collection and segregation also use algorithm for material identification. In this paper is proposed an algorithm based on Convolutional Neural Network. \n","PeriodicalId":22358,"journal":{"name":"The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Material Recognition Using CNN Approach for Garbage Collection System\",\"authors\":\"F. Marin, M. Marin, G. Gurău\",\"doi\":\"10.35219/mms.2022.4.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Material identification has been proved to be of important interest for different fields such as industrial automation, autonomous robots The autonomous robots for garbage collection, such as aquatic-cleaning [3] or garbage gathering [6] need the algorithm for identification of materials. Automatic conveyer identification for garbage collection and segregation also use algorithm for material identification. In this paper is proposed an algorithm based on Convolutional Neural Network. \\n\",\"PeriodicalId\":22358,\"journal\":{\"name\":\"The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35219/mms.2022.4.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35219/mms.2022.4.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Material Recognition Using CNN Approach for Garbage Collection System
Material identification has been proved to be of important interest for different fields such as industrial automation, autonomous robots The autonomous robots for garbage collection, such as aquatic-cleaning [3] or garbage gathering [6] need the algorithm for identification of materials. Automatic conveyer identification for garbage collection and segregation also use algorithm for material identification. In this paper is proposed an algorithm based on Convolutional Neural Network.