a novel approach to smart door lock for enhanced security in open laboratory Biazon, Norry May R. creator author. Raynes, Cristel S. author. Samuela, Michelle M. author. Llagas, Josefina H., adviser. Velasco, Kezia Abegail T., chair, panelist. Cortez, Vincent B., panelist. Sanglay, Vencel Angelo R., panelist. text bibliography ph 2024 monographic eng

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186 leaves. Security has become an essential need for individuals all over the world, as technol- ogy’s integration to daily life becomes deeply embedded, ensuring robust security has be- come a critical necessity. Manual key, in particular face challenges in terms of ensuring security in laboratories.This study investigates the development and integration of a facial recognition-based smart door lock system aimed at improving security and access manage- ment at the Camarines Sur Polytechnic College - College of Computer Studies Open labo- ratory. By utilizing the Haar Cascade algorithm alongside OpenCV and Raspberry Pi, the system integrates facial recognition technology with RFID for automated attendance mon- itoring. This combined method guarantees accurate authentication while tackling prevalent security issues like unauthorized access and the risk of lost keys. The study also part- nered with a web-based platform to facilitate user management and real-time oversight, creating a secure, efficient, and user-friendly setting for faculty members. Additionally, an Agile methodology was developed to support ongoing enhancements grounded in user feedback and testing. By integrating advanced biometric technology with efficient man- agement tools, this innovation not only enhances laboratory security but also exemplifies the potential for smart access systems in educational environments. Norry May R. Biazon, Cristel S. Raynes, and Michelle M. Samuela. Undergraduate Theses (BSIT) - Information Technology. Camarines Sur Polytechnic Colleges, 2024. Includes bibliographical references. CSPC 260420 20260420094102.0 eng