Abstract

Vision is one of the very essential human senses and it plays a major role in human perception about surrounding environment. But for people with visual impairment their definition of vision is different. Visually impaired people are often unaware of dangers in front of them, even in familiar environment. This study proposes a real time guiding system for visually impaired people for solving their navigation problem and to travel without any difficulty. This system will help the visually impaired people by detecting the objects and giving necessary information about that object. This information may include what the object is, its location, its precision, distance from the visually impaired etc. All these information will be conveyed to the person through audio commands so that they can navigate freely anywhere anytime with no or minimal assistance. Object detection is done using You Only Look Once (YOLO) algorithm. As the process of capturing the video/images and sending it to the main module has to be carried at greater speed, Graphics Processing Unit (GPU) is used. This will help in enhancing the overall speed of the system and will help the visually Impaired to get the maximum necessary instructions as quickly as possible. The process starts from capturing the real time video, sending it for analysis and processing and get the calculated results. The results obtained from analysis are conveyed to user by means of hearing aid. As a result by this system the blind or the visually impaired people can visualize the surrounding environment and travel freely from source to destination on their own.

Highlights

  • Vision is the essential part of human biology, since 83% of human knowledge is perceived through eyes [3]

  • In this study a guidance system called Electronics Orientation Aid (EOA) is built to overcome their navigational challenges. This system allows obstacle detection and intimation of obstacle location which helps the visually impaired person to reach to the desired destination with greater awareness of the environment

  • Our goal is to identify objects using Python language with Darknet (YOLOv3) in OpenCV

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Summary

Introduction

Vision is the essential part of human biology, since 83% of human knowledge is perceived through eyes [3]. If that is the case, in today’s busy world it is very difficult for the visually impaired or blind people to navigate and travel alone. Extensive research work has been conducted to create aids for visually impaired people to interpret, guide and navigate in the surrounding environment. In this study a guidance system called Electronics Orientation Aid (EOA) is built to overcome their navigational challenges. This system allows obstacle detection and intimation of obstacle location which helps the visually impaired person to reach to the desired destination with greater awareness of the environment. Once the object has been identified, the user will be given

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