Industrial Attendance and Access Control System Using Face and Biometric Recognition

S. Brindha, D. M. Bharath, S. R. Gokulprasath, M. Ravisrinivasan

2025

Abstract

Tracking attendance and maintaining access control are of paramount importance in industrial setting today not only for management purposes, but also for security. In this paper, an efficient and powerful Industrial Attendance and Access Control System using facial recognition and biometric authentication is presented. The platform includes state-of-the-art computer vision algorithms for real-time face detection and verification in amalgamation with other biometric modality such as fingerprint recognition for correct identification of staff. Combination of two factor in attendence management system [201520] In these methods the reliability and diminishing spoofing of identity can be improved, but the system is still dependent on the user inputs and also erases the user inputs which are prone to errors. Related data are saved and maintained in a centralized server from which the monitoring and administrative tasks are carried out in real-time or are recorded and stored for subsequent checks. The limitation for unauthorized entry helps to create a defense against general industrial security violations in addition to resource management optimization. The system is highly accurate, scalable and flexible, and can be used for a wide range of industrial applications where the safety and control of the workforce is a key consideration.

Paper Citation

in Harvard Style

Brindha S., Bharath D., Gokulprasath S. and Ravisrinivasan M. (2025). Industrial Attendance and Access Control System Using Face and Biometric Recognition. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 408-412. DOI: 10.5220/0013930600004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Brindha and D. Bharath and S. Gokulprasath and M. Ravisrinivasan},
title={Industrial Attendance and Access Control System Using Face and Biometric Recognition},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={408-412},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013930600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Industrial Attendance and Access Control System Using Face and Biometric Recognition
SN - 978-989-758-777-1
AU - Brindha S.
AU - Bharath D.
AU - Gokulprasath S.
AU - Ravisrinivasan M.
PY - 2025
SP - 408
EP - 412
DO - 10.5220/0013930600004919
PB - SciTePress