{"title":"基于人脸识别算法的企业员工考勤控制系统分析","authors":"Altynay Shubekova","doi":"10.1109/SIST54437.2022.9945802","DOIUrl":null,"url":null,"abstract":"In this paper, an analysis was made of the existing problems of identification and attendance control of employees, face recognition methods and existing ready-made systems that are in demand on the international market. The research work was written with the aim of determining the most effective model of a face recognition system, with the possibility of further using its results when developing such a system from scratch, with all the best characteristics that were determined as a result. research.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Attendance Control Systems for Employees of Organizations Based on Face Recognition Algorithms\",\"authors\":\"Altynay Shubekova\",\"doi\":\"10.1109/SIST54437.2022.9945802\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an analysis was made of the existing problems of identification and attendance control of employees, face recognition methods and existing ready-made systems that are in demand on the international market. The research work was written with the aim of determining the most effective model of a face recognition system, with the possibility of further using its results when developing such a system from scratch, with all the best characteristics that were determined as a result. research.\",\"PeriodicalId\":207613,\"journal\":{\"name\":\"2022 International Conference on Smart Information Systems and Technologies (SIST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Smart Information Systems and Technologies (SIST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIST54437.2022.9945802\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Smart Information Systems and Technologies (SIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIST54437.2022.9945802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Attendance Control Systems for Employees of Organizations Based on Face Recognition Algorithms
In this paper, an analysis was made of the existing problems of identification and attendance control of employees, face recognition methods and existing ready-made systems that are in demand on the international market. The research work was written with the aim of determining the most effective model of a face recognition system, with the possibility of further using its results when developing such a system from scratch, with all the best characteristics that were determined as a result. research.