AI-Based Home Automation with Secure Gesture Control and Facial Recognition

Abstract

The growing adoption of smart home technology highlights the need for systems that prioritize ease of use and accessibility for individuals of all abilities, including the elderly and those with disabilities. This project presents an AI-driven home automation system that employs hand gesture control to enhance comfort, accessibility, and security in residential spaces. Facial recognition technology is integrated to provide personalized user authentication, ensuring secure access to various household appliances. The system enables intuitive management of devices through gesture-based controls, removing the dependency on physical interfaces. Advanced computer vision techniques, implemented using OpenCV, CNN and Python, enable precise recognition of faces and gestures. A Wi-Fi-enabled microcontroller facilitates seamless remote operation of appliances, ensuring a responsive and efficient user experience. This innovative approach enhances the convenience and security of home environments, promoting inclusivity and accessibility in modern smart home solutions.