DEVELOPMENT OF IOT BASED SMART DOOR LOCK AND FIRE ALERT SYSTEM USING FACIAL RECOGNITION

The purpose of this study is to develop an IoT home security system that integrates facial recognition technology and offers remote access control. In an era where smart technologies revolutionize conventional home security systems, this research introduces an IoT-based smart door lock system including facial recognition technology. The proposed system integrates Raspberry Pi, a Raspberry Pi camera, a solenoid door lock, and a flame sensor to offer advanced security features while ensuring user convenience. Operating within a cloud-based framework, users gain unparalleled accessibility to their home security. Through a mobile application, users can remotely monitor and control their door lock status from anywhere in the world. In order to enable smooth authentication upon detection, the technology makes it possible to save recognised faces inside the mobile application. When a recognized face approaches the door, it triggers automatic unlocking, streamlining entry for authorized individuals. Furthermore, the system enhances security measures by promptly notifying users of any unfamiliar faces detected. Beyond access control, the system prioritizes safety by incorporating a flame sensor. Upon detecting fire within the premises, the system activates, sending an immediate notification to the user and initiating automatic door unlocking. This critical feature ensures swift evacuation during emergencies, potentially mitigating property damage and ensuring occupants safety. Implemented as a cloud-based solution leveraging Google Firebase, the system seamlessly updates real-time data, enhancing responsiveness and reliability.