International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Based Home Automation for Elderly People

Author(s) Mohammad Arif. A, Mr. Eisa Al Hani, Mr. Rehanuddin S, Dr. Abdul Wahab Johny
Country India
Abstract This project introduces an AI-based home automation system that enables elderly people to control household devices using simple hand gestures instead of physical switches or remotes, improving accessibility and independence for aging users [4]. A camera continuously captures hand movements, and computer vision techniques using OpenCV and MediaPipe are applied to recognize hand gestures in real time [1]. The recognized gestures are mapped to appliance control commands, allowing completely contactless operation, which enhances safety and ease of use for elderly individuals [6]. The system is scalable and can be extended to real appliances and IoT-based smart home environments [5].No need to fiddle with switches—just use simple gestures. In our prototype, five LED lights stand in for real household appliances. A camera watches for hand movements, and with the help of OpenCV and MediaPipe, the system figures out which gesture means what, then turns the right light on or off. It all happens in real time, without anyone needing to touch a thing. For older adults, that means more safety, more independence, and a lot less hassle. Down the road, this approach isn’t limited to LED lights. You can scale it up to real home appliances, maybe even connect it to IoT tech, so you could keep an eye on things from anywhere.
Keywords OpenCV, MediaPipe, Gesture-Based Control, computer vision techniques
Field Engineering
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-01-15
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.64717
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