Current Volume 9
Abstract
The AI-Powered Iris-Controlled Smart Wheelchair is an intelligent mobility system designed for physically disabled individuals. The system uses a camera and Python-based image processing with OpenCV to detect iris movements in real time. Detected eye movements are converted into motion commands and sent to the ESP32 microcontroller, which controls the wheelchair through a motor driver and DC motors. The wheelchair can perform movements such as forward, backward, left, right, and stop. An ultrasonic sensor is used for obstacle detection to improve user safety, while an LCD display shows system status and movement directions. The proposed system is low-cost, portable, energy-efficient, and provides hands-free mobility assistance for users with severe motor disabilities.
Keywords
Artificial Intelligence, Smart Wheelchair, Iris Tracking, ESP32, OpenCV, Eye Movement Detection, Computer Vision, Assistive Technology, Ultrasonic Sensor.
Citations
IRE Journals:
Sahane Shreya Balasaheb, Sonawane Samruddhi Milind, Varode Shivani Sharad, Prof. B. N. Bansode "AI-Powered Iris-Controlled Smart Wheelchair" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 3766-3772 https://doi.org/10.64388/IREV9I11-1718172
IEEE:
Sahane Shreya Balasaheb, Sonawane Samruddhi Milind, Varode Shivani Sharad, Prof. B. N. Bansode
"AI-Powered Iris-Controlled Smart Wheelchair" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1718172
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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