Design And Implementation Of A Facial Recognition Based Smart Lock System

In today's world, ensuring personal and property security has become increasingly important. Traditional lock systems and password-based access controls are often inconvenient and vulnerable to misuse. To address these challenges, this project focuses on the design and implementation of a facial recognition-based smart lock system that offers a more secure and user-friendly way of controlling access. The main goal of this work is to create a system that automatically identifies individuals based on their facial features, removing the need for physical keys or manual authentication. The prototype is built using a Raspberry Pi microcontroller connected to a camera module, which captures a live image of the person at the door. The image is analyzed using Python and Open CV to detect and compare facial patterns with a trained dataset of authorized users. Once a match is confirmed, the lock is activated through a relay mechanism. The system was tested under various lighting conditions and angles, showing consistent accuracy and quick response times. An additional IOT-based alert feature sends real-time notifications when access is granted or denied, providing users with an extra layer of awareness and safety.