Abstract
Abstract: The voice assistant module and eye tracking are both used in the smart wheelchair designed for individuals with disabilities. A module for image processing, a wheelchair-controlled voice associate module, and restricted by appliances are among the two modules found in the smart wheelchair. The wheelchair-mounted camera that can take pictures and handle those images makes up the picture processing module. To obtain pupil movement in the 2D bearing, the acquired image was put into a Raspberry Pi microcontroller process using Open CV. The student is then remotely moved to the wheelchair management module. Additionally, the procedures are controlled by the movement of the eyes. Technology such as speech recognition offers a means for people to communicate with wheelchairs.
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