IoT-Enabled Smart Door Lock System Using Temperature Sensor

This research introduces a comprehensive health and security system integrating advanced technologies for enhanced surveillance and monitoring. Leveraging a Raspberry Pi 3B+, OpenCV, and MLX90614 sensor, the project seamlessly combines facial recognition and contactless temperature monitoring to create a robust access control mechanism. The facial recognition module, powered by Haar Cascade, accurately identifies authorized individuals, triggering subsequent processes. When a recognized face is coupled with a normal body temperature (36.1-37.2°C), the system activates a solenoid lock, providing secure door access. In instances where elevated temperatures are detected, the door will not open. This dynamic response ensures security and addresses health concerns, particularly relevant in the context of viral outbreaks. The innovation lies in the system's dual-purpose functionality, merging security and health monitoring to provide a holistic solution for contemporary challenges. Its contactless temperature monitoring feature is especially pertinent in environments where minimizing physical contact is imperative, contributing to the overall safety and well-being of individuals. This research lays the groundwork for the development of adaptive systems that can be deployed across diverse settings, offering an effective response to evolving security and health threats in our interconnected world.