Eye And Voice Controlled Wheel Chair

Abstract

The smart wheelchair developed for people with inabilities dependent on the eye-tracking and by utilizing the voice assistant module. The smart wheelchair contains two modules, including a module for processing the image, a wheelchair-controlled voice associate module and constrained by appliances. The module for picture processing comprises a camera mounted on the wheelchair that can capture the picture and handling those images. The captured picture moved into a Raspberry Pie micro controller process using Open CV to get pupil movement in the 2D bearing. The movement of pupil is then moved remotely to the module for managing a wheelchair. The eyeball movement is also used as the controller to regulate the operations. Speech recognition technology is a technology that provides a way of interaction for human with the wheel chair. Hence, the problems faced by the people can be easily solved by using this technology for controlling the wheel chair. This can be implemented by using the smart phone or smart assistant enabled device as an interface between the human and the wheel chair.