Design and implementation of Third EYE for the Blind People By using Optical Character Recognition in Raspberry Pi Microcontroller

Abstract

Incapacity is the condition of an individual wherein one needs to rely upon others for their own necessities. Visual weakness is one of the handicaps of a person. To date various techniques had been proposed to improve the way of life of outwardly hindered and dazzle individuals. As yet buying items in the grocery store without others uphold is precarious one for them. We propose a camera-based assistive content perusing structure to help dazzle people advertisement text names and item bundling from hand-held articles in their everyday lives. To confine the article from jumbled foundations or other encompassing items in the camera see, we rest propose an antiquated and dynamic movement based strategy to eat a region of interest (ROI) in the video by requesting that the client shake the object.The sound guidelines will help them inside the grocery store dependent on the continuous situations. The extreme point of this framework is to dispose of others uphold for outwardly disabled individuals in shopping and give them an advantageous and modern environment.On executing this framework, it encourages the visually impaired individuals shopping, save the client's time and advances business sales.We investigate UI issues, and evaluate strength of the calculation in extricating and perusing text from objects with complex foundations. In this Shopping streetcar innovation to distinguish the item positioned because of AI and precision area discover him.