Door Lock System Using Raspberrypi

In the modern age of digital security, conventional door lock systems are creasingly susceptible to breaches. This paper proposes a robust, multi-factor door lock system that integrates fingerprint recognition, facial detection, and a PIN-based unlocking mechanism using a Raspberry Pi microcontroller. It enhances security by requiring three authentication methods before granting access. The system incorporates a fingerprint sensor via UART, a USB-connected webcam for facial recognition, and a keypad for PIN entry. A servo motor acts as the locking mechanism, controlled through GPIO pins of the Raspberry Pi. By combining biometric, visual, and numeric credentials, this system mitigates the weaknesses of single-layer authentication methods. Python scripts and OpenCV libraries are employed for facial recognition, while fingerprint templates are stored in a secure database. The system is energy-efficient, cost-effective, and can be integrated into existing home automation setups. The solution addresses key concerns office security, offering both reliability and scalability. This project thus presents a feasible alternative to expensive commercial smart lock systems, offering a customizable and user-friendly experience.