Smart Third Eye with Optimum and Safe Path Detection Based On Neural Networks for Blind Persons Using Raspberry-Pi

Abstract

Blindness is the condition of lacking the visual sight due to physiological or neurological factors and partial blindness is due to lack of integration in the growth of the optic nerve or visual centre of the eye. In this proposed work, a simple, cheap, friendly user, virtual eye will be designed and implemented to improve the mobility of both blind and visually impaired people in a specific area. The proposed work includes a set of ultrasonic sensors for detection, raspberry-pi tool kit for programming and implementation,earphone for speech signal, hand stick(with sensors) using neural network. The main section of this project ultrasonic sensors which are used to scan a predetermined area around blind by emitting the waves.The rejected signals received from the barriers objects are used as inputs to raspberry-pi.Raspberry-pi carry out the issued commands and then communicate the status of a given appliances or device back to the earphone using raspberry-pi as speech. Also, this concept is cheap, fast and easy to use and an innovative a ordable solution to blind and visually impaired people.