{"title":"Automated Attendance System with Facial Recognition Using Python","authors":"Abhinav Chauhan, Shashwat Pandey, S. Bathla","doi":"10.52458/978-93-91842-08-6-10","DOIUrl":null,"url":null,"abstract":"Face Recognition is among the most useful picture handling applications and plays a significant part in the specialized field. Recognition of the human face is a functioning issue for verification purposes explicitly with regards to participation of understudies. Participation framework utilizing face recognition is a method of perceiving understudies by utilizing face biostatistics dependent on the top quality observing and other PC advances. The advancement of this framework is intended to achieve digitization of the customary process for gauging participation by calling names and keeping up with pen-paper records. Current participation methodologies are drawn-out and tedious. Participation records can be handily controlled by manual recording. The customary course of making participation and present biometric frameworks are powerless against intermediaries. This paper is accordingly proposed to handle this multitude of issues.","PeriodicalId":247665,"journal":{"name":"SCRS Conference Proceedings on Intelligent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SCRS Conference Proceedings on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52458/978-93-91842-08-6-10","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
Face Recognition is among the most useful picture handling applications and plays a significant part in the specialized field. Recognition of the human face is a functioning issue for verification purposes explicitly with regards to participation of understudies. Participation framework utilizing face recognition is a method of perceiving understudies by utilizing face biostatistics dependent on the top quality observing and other PC advances. The advancement of this framework is intended to achieve digitization of the customary process for gauging participation by calling names and keeping up with pen-paper records. Current participation methodologies are drawn-out and tedious. Participation records can be handily controlled by manual recording. The customary course of making participation and present biometric frameworks are powerless against intermediaries. This paper is accordingly proposed to handle this multitude of issues.