Smart Apps of Obstacle Detection for Visually Impaired

Abstract

This study deals with smartphone application to support the walking of visually impaired. It recognizes surrounding situation from image acquired by camera and notifies it of any danger. The visually impaired has also a high desire to go out, however there are so many situations outdoors where they feel danger. This study used CNN (Convolutional Neural Network) which is a kind of deep learning techniques to detect obstacles and implemented into an application program working on smartphone. It can classify the taken images into some obstacles or surrounding situations and notice it to user to help his/her safety walking. This paper describes about the smartphone application and shows its effectiveness with experimental results.