AI-Enabled Home Security and Automation with Facial Recognition and Anomaly Detection

Abstract: AI-Enabled Home Security and Automation with Facial Recognition and Anomaly Detection, based on Arduino Uno, is a comprehensive project that employs a range of sensors and devices for enhanced safety, security, and convenience. It incorporates a fire sensor for early fire detection, triggering a water pump via a relay for fire suppression, and a gas sensor for LPG detection, which automatically opens windows through a DC motor to vent the gas. The Light Dependent Resistor (LDR) sensor distinguishes between day and night, controlling indoor and outdoor lighting accordingly. A voice reader module offers voice-activated control for lights and fans. A temperature sensor regulates the room's temperature by activating a fan through a relay, ensuring comfort. An integrated camera with facial recognition capabilities enhances security, automatically unlocking the door for known individuals and awaiting homeowner instructions for unknown persons. An IR sensor detects occupancy, turning off lights and fans if no residents are present, optimizing energy efficiency. This multifaceted project combines safety, energy efficiency, and security features, making it a sophisticated and user-friendly home automation system. Key terms: Automation, Security, Facial Recognition, Anomaly Detection, Sensors