Face Recognition with Voice and Message Alert for Secure Hostel Management

Abstract - This research presents a new system for the management of hostels that integrates facial recognition with voice and message alerts to enhance security and administrative efficiency. The system applies deep learning algorithms to identify students entering and exiting the hostel premises, marking attendance automatically and keeping track of unauthorized entry. If unauthorized individuals are detected, the system gives real-time voice alerts and messages to the administrators of the hostels. Experimental results demonstrate that the system has an accuracy rating of 97.8% in identifying faces under varying conditions. This solution presents a pragmatic solution towards the modernization of the system for managing hostels, particularly in academic institutions where the safety of the students takes precedence

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-08
DOI
https://doi.org/10.5281/zenodo.15363319
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

Face Recognition with Voice and Message Alert for Secure Hostel Management

Zenodo (CERN European Organization for Nuclear Research)
Visual perception and processing mechanisms
article

Face Recognition with Voice and Message Alert for Secure Hostel Management

article en

Abstract

Abstract - This research presents a new system for the management of hostels that integrates facial recognition with voice and message alerts to enhance security and administrative efficiency. The system applies deep learning algorithms to identify students entering and exiting the hostel premises, marking attendance automatically and keeping track of unauthorized entry. If unauthorized individuals are detected, the system gives real-time voice alerts and messages to the administrators of the hostels. Experimental results demonstrate that the system has an accuracy rating of 97.8% in identifying faces under varying conditions. This solution presents a pragmatic solution towards the modernization of the system for managing hostels, particularly in academic institutions where the safety of the students takes precedence

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Visual perception and processing mechanisms
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