Home Automation System Using Intelligent Face Recognition: An IoT–AI Integrated Approach

Abstract

This research introduces a smart home automation system that combines deep-learning-based face recognition with IoT- enabled appliance control to improve household security and safety. Unlike traditional systems that depend on passwords, mobile applications, or internet-based assistants, the proposed design performs local, real-time facial authentication to ensure that only authorized users can access home controls. The system manages lighting, gas valves, and safety functions through an integrated dashboard, while continuously monitoring environmental conditions such as gas leaks. Developed using Python, OpenCV, and a Raspberry Pi platform, the system operates with high accuracy, low latency, and complete offline capability. Experimental evaluation shows that the solution enhances privacy, reduces security risks, and provides a scalable, cost-effective approach for modern home automation. The results demonstrate its suitability for residential, commercial, and safety-critical environments.