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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 4, APRIL 2024

Automated Attendance System by Facial Recognition Using CCTV

Sirisha K, Sree Vyshnavi K, Bhargava Sai R, Uday Charan C

DOI: 10.17148/IJARCCE.2024.134102

Abstract: Businesses, organizations, and educational institutions all require reliable and accurate attendance monitoring solutions in today's hectic world. This paper presents an automated attendance system employing facial recognition technology based on CCTV video. The system uses strategically placed CCTV cameras to capture real-time video footage of individuals entering or leaving the premises. Facial detection algorithms locate and identify human faces, and facial recognition algorithms extract unique facial features to create facial templates. These templates are compared to a pre-registered database for facial matching, and attendance is recorded upon successful identification. Advanced features like liveness detection enhance accuracy and security.Attendance data is securely stored in a centralized database and can be integrated with other systems. This study describes an automatic attendance system that uses CCTV video-based facial recognition technology.

Keywords: facial recognition, automatic attendance system, CCTV, centralized database.

How to Cite:

[1] Sirisha K, Sree Vyshnavi K, Bhargava Sai R, Uday Charan C, “Automated Attendance System by Facial Recognition Using CCTV,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.134102