AI-Powered Iris-Controlled Smart Wheelchair

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@article{1718172,
      author = {Sahane Shreya Balasaheb, Sonawane Samruddhi Milind, Varode Shivani Sharad, Prof. B. N. Bansode},
      title = {AI-Powered Iris-Controlled Smart Wheelchair},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {3766-3772},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718172.pdf},
      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.},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1718172}
  }