Publication Date: 2023/11/30
Abstract: This article presents the creation of a system that utilises face recognition technology for attendance marking purposes in various settings. While face recognition has the least accuracy in comparison to the other biometric methods such as fingerprint or iris identification, its non-invasive and contactless approach makes it a popular choice. This system aims to address the inefficiencies of traditional manual attendance systems that are time-consuming and prone to errors such as proxy attendance. It has four phases: Creating the database, detecting the face, recognition of it and bringing the attendance up to date. Database is made using pictures of the people in the class. detection of face and recognition are done by using the Facial_Recognition python library which is very efficient and effective. The available system looks and recognises faces from video streaming live feeds of the classroom, and records of attendance are automatically forwarded to the available respective faculty members of the institute at the end of each particular session via mail.
Keywords: Face Recognition; Face Detection; Classifier; Attendance System; Recognition Libraries.
DOI: https://doi.org/10.5281/zenodo.10224161
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV1218.pdf
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