Next-Gen Home Security Framework with Facial Recognition and IoT Integration

This study intends to improve home security systems in the current technological era. This research offers a revolutionary method of smart home security by combining a web interface, facial recognition, and the Internet of Things (IoT) into a single solution. The suggested method controls entry to a house by using machine learning algorithms to recognise faces accurately and in real time. An Internet of Things (IoT)-enabled servo motor is turned on to unlock the door after successful recognition. Users may monitor and control the system remotely with greater comfort and flexibility thanks to a Flask-developed web interface. The system is made to overcome the shortcomings of previous models and provide a reliable, effective, and user-friendly home security solution. A thorough discussion of the implementation is given, highlighting its benefits and possible changes to further enhance the system's performance.