Face Guard: A Security Alert System for Hostel Management

The proposed Face Guard: A Security Alert System for Hostel Management successfully integrates facial recognition, attendance automation, and security monitoring into a single intelligent platform. The system utilizes Haar Cascade for face detection and the ArcFace deep learning model for accurate face recognition, enabling reliable identification of students, staff members, blacklisted individuals, and unknown persons in real time. The system effectively automates attendance recording, reduces manual effort, prevents proxy attendance, and enhances hostel security through instant email and SMS alert generation. The Flask-based dashboard provides administrators and wardens with real-time access to attendance records, recognition logs, and security alerts, improving overall operational efficiency. Experimental results demonstrate that the system achieves high recognition accuracy and reliable performance while operating efficiently on standard hardware without requiring dedicated GPU resources. Therefore, the proposed solution offers a cost-effective, scalable, and intelligent approach for modern hostel management, contributing to improved security, transparency, and automation.

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