Smart Attendance System: Using Facial Recognition Technology

Author(s)	Amaan Ansari, Anita Pujari, Kamika Chaudhary
Country	India
Abstract	The Smart Attendance system automates attendance tracking using advanced face recognition technology integrated with cloud-based data storage. This system includes components for generating face encodings, populating a database with student details, and tracking attendance in real time through live video feeds. The face encoding generation processes student images to create unique facial encodings stored alongside student IDs, Real-time attendance tracking captures live video, detects faces, and matches them against stored encodings to update attendance records in the Firebase Real-time Database. This paper describes a method for Student Attendance system that will record the attendance of the students in the classroom environment automatically and it will provide the facilities to the faculty to access the information of the students easily.
Keywords	Face recognition, python, pycharm, libraries, firebase, opencv, database.
Field	Computer Applications
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-30
Cite This	Smart Attendance System: Using Facial Recognition Technology - Amaan Ansari, Anita Pujari, Kamika Chaudhary - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23705
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.23705
Short DOI	https://doi.org/gt3nds

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International Journal For Multidisciplinary Research