{"title":"基于YOLO的铁路智能安防系统研究","authors":"Tianyuanye Wang, Kaijiang Zhao","doi":"10.1117/12.2671278","DOIUrl":null,"url":null,"abstract":"Aiming at the positioning problems existing in rail transit system, this paper proposes an intelligent image recognition and positioning algorithm, which adopts deep learning technology to identify vehicles. And, through field test, the experimental results show the effectiveness of the algorithm. Its implementation cost is significantly lower than the existing equipment and can meet the requirements of the existing engineering practice.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on rail intelligent security system based on YOLO\",\"authors\":\"Tianyuanye Wang, Kaijiang Zhao\",\"doi\":\"10.1117/12.2671278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the positioning problems existing in rail transit system, this paper proposes an intelligent image recognition and positioning algorithm, which adopts deep learning technology to identify vehicles. And, through field test, the experimental results show the effectiveness of the algorithm. Its implementation cost is significantly lower than the existing equipment and can meet the requirements of the existing engineering practice.\",\"PeriodicalId\":120866,\"journal\":{\"name\":\"Artificial Intelligence and Big Data Forum\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence and Big Data Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2671278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Big Data Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2671278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on rail intelligent security system based on YOLO
Aiming at the positioning problems existing in rail transit system, this paper proposes an intelligent image recognition and positioning algorithm, which adopts deep learning technology to identify vehicles. And, through field test, the experimental results show the effectiveness of the algorithm. Its implementation cost is significantly lower than the existing equipment and can meet the requirements of the existing engineering practice.