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@article{188913,
        author = {Poorva Reddy D and Marasani Indu and Megha M V and Pavithra M and Dr. Reddy Sudharshana K},
        title = {A Smart Door Locking System Based On Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3925-3929},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188913},
        abstract = {This paper presents an advanced smart door- locking system that integrates image processing, facial recognition, and RFID-based alternate authentication, all powered by a Raspberry Pi .A Pi Camera captures real-time images, which are processed using OpenCV to accurately recognize authorized users. An RFID reader offers an additional verification layer, ensuring secure access for trusted individuals. A servo motor functions as a simulated locking mechanism, activating to unlock the door upon successful authentication. LED and buzzer indicators provide instant visual and auditory feedback on the access decision. The Raspberry Pi serves as the central controller, coordinating data processing and hardware operations. This integrated system delivers improved security, automation, and user convenience. Its flexible, scalable architecture makes it suitable for residential, commercial, and high- security environments. Overall, the system demonstrates the potential of intelligent technologies to enhance modern access-control solutions.},
        keywords = {Smart Door Lock, Image Processing, Facial Recognition, RFID Authentication, Raspberry Pi, OpenCV, IoT Security, Access Control System, Servo Motor Control},
        month = {December},
        }