Attendance System using Machine Learning
Author(s) -
Ruzda Ansari,
Uzma Bagwan,
Ghazala Khan
Publication year - 2022
Publication title -
international journal of advanced research in science communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-3236
Subject(s) - attendance , class (philosophy) , computer science , authentication (law) , face (sociological concept) , facial recognition system , security system , machine learning , artificial intelligence , track (disk drive) , computer security , mathematics education , multimedia , psychology , pattern recognition (psychology) , operating system , sociology , social science , economics , economic growth
In many of the educational institutions, managing attendance of students/candidates is tedious, as there would be large number of students in the class and keeping track of all is onerous. There are situations where student act as proxies for their friends even though they are not present. This system, which is based on face detection and recognition algorithms, spontaneously detects the student when he enters the class room and marks the attendance by recognizing him. The database is then modified or updated automatically. This reduces time and effort of manually updating the attendance. This system also provides authentication using recognition of face of the admin or teacher to unlock as there are chances of trespassing by the third party. So this rises the security of the system.
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