Attendance Using Facial Recognition

Facial recognition technology has been one of the most powerful tools in automating processes that included attendance management, since their emergence in recent years.This paper would present an alternative for traditional attendance management methods such as that of manual attendance sheets and card-based systems by replacing them using a web-based Attendance System assisted through Facial Recognition.The system would then be assisted with a collection of computer algorithms and image processing techniques to identify and authenticate personnel based on face features.The face capture and matching system automatically marks attendance without any human intervention with the inclusion of the camera at the entry points, capturing the faces of people and matching them with the preregistered images in the database.The new system is efficient and convenient as well; it is secure, time-saving, and will completely rule out the scope for proxy attendance.The system can also be designed for various environments like educational institutions, corporate offices, and conferences.The performance evaluation also shows great accuracy in recognition even under changing lighting conditions and with a number of people within the frame.This results in an extremely robust, user-friendly, and scalable solution that streamlines attendance management without introducing human errors. I.

Publication Details

Journal
IJARCCE
Published
2025-04-23
DOI
https://doi.org/10.17148/ijarcce.2025.14435
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Attendance Using Facial Recognition

IJARCCE
Face recognition and analysis
article

Attendance Using Facial Recognition

article en

Abstract

Facial recognition technology has been one of the most powerful tools in automating processes that included attendance management, since their emergence in recent years.This paper would present an alternative for traditional attendance management methods such as that of manual attendance sheets and card-based systems by replacing them using a web-based Attendance System assisted through Facial Recognition.The system would then be assisted with a collection of computer algorithms and image processing techniques to identify and authenticate personnel based on face features.The face capture and matching system automatically marks attendance without any human intervention with the inclusion of the camera at the entry points, capturing the faces of people and matching them with the preregistered images in the database.The new system is efficient and convenient as well; it is secure, time-saving, and will completely rule out the scope for proxy attendance.The system can also be designed for various environments like educational institutions, corporate offices, and conferences.The performance evaluation also shows great accuracy in recognition even under changing lighting conditions and with a number of people within the frame.This results in an extremely robust, user-friendly, and scalable solution that streamlines attendance management without introducing human errors. I.

IJARCCEVol. 14(4)
Openalex Percentile: Top 93%
Face recognition and analysis
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