基于人脸识别算法的企业员工考勤控制系统分析

Altynay Shubekova
{"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}
引用次数: 0

摘要

本文分析了企业在员工身份识别、考勤控制、人脸识别方法以及国际市场上需求较大的现有现成系统等方面存在的问题。这项研究工作的目的是确定最有效的人脸识别系统模型,并有可能在从零开始开发这样一个系统时进一步使用其结果,从而确定所有最佳特征。研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信