{"title":"STUDENT ATTENDANCE SYSTEM BASED ON THE FACE RECOGNITION","authors":"H. Agarwal, Govinda Verma, Lakshya Gupta","doi":"10.33130/ajct.2021v07i02.015","DOIUrl":null,"url":null,"abstract":"Attendance system is very important\nin schools and colleges' The student attendance\nprogram has many problems such as it may not\nbe accurate and critical to maintain. Therefore,\nan existing system that uses a face recognition\nsystem increases accuracy and also requires less\ntime than other methods. There are many\nsystems available such as face recognition using\nIoT, PIR sensors and so on. With face\nrecognition, hardware devices are helpful. But\nthe challenge is to keep all the nerves properly\nwithout getting hurt. After learning all the\ntechniques and techniques we try to use the\nsystem with Haar Cascade Algorithm with the\nhighest accuracy among them all. It can take\npictures from 50- 70cm. We create a graphical\ninterface that takes pictures, builds a database\nand trains the database with a single click. After\nseeing the face it will show the student's name\nand roll number. That information is stored on\nan automatic attendance sheet by time and date.","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33130/ajct.2021v07i02.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Attendance system is very important
in schools and colleges' The student attendance
program has many problems such as it may not
be accurate and critical to maintain. Therefore,
an existing system that uses a face recognition
system increases accuracy and also requires less
time than other methods. There are many
systems available such as face recognition using
IoT, PIR sensors and so on. With face
recognition, hardware devices are helpful. But
the challenge is to keep all the nerves properly
without getting hurt. After learning all the
techniques and techniques we try to use the
system with Haar Cascade Algorithm with the
highest accuracy among them all. It can take
pictures from 50- 70cm. We create a graphical
interface that takes pictures, builds a database
and trains the database with a single click. After
seeing the face it will show the student's name
and roll number. That information is stored on
an automatic attendance sheet by time and date.