Analysis Face Recognition based Systems for Employees Attendance Machine Learning

Rastogi, Parag and P, Saravanan and Kerinab Beenu, G. H. and Kaur, Inderpreet and Anandhi, R J and Senthilkumar, S. (2023) Analysis Face Recognition based Systems for Employees Attendance Machine Learning. In: UNSPECIFIED.

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Abstract

The Attendance Management System with the importance and growth of technology in this digital age, there has been a tendency towards digital education using facial recognition. This appears to be a need-based choice and is now standard procedure. Despite technological advancements, the majority of teachers still use archaic techniques like calling out students' names to take attendance. This is typically a tedious and time-consuming process that wastes valuable class time that would be better spent teaching. An automated attendance management solution is developed to replace this traditional approach. The foundation of the proposed automated attendance management system is facial recognition technology. The attendance of students can be taken in a quick, easy, and user-friendly manner using facial recognition technology. © 2023 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects:
Divisions: Medicine > Vinayaka Mission's Kirupananda Variyar Medical College and Hospital, Salem
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 01 Dec 2025 05:44
URI: https://vmuir.mosys.org/id/eprint/2534

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