An electronic travel aid for navigation of visually impaired persons

2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011) Pub Date : 2011-02-17 DOI:10.1109/COMSNETS.2011.5716517

Amit Kumar, R. Patra, M. Manjunatha, J. Mukhopadhyay, A. Majumdar

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引用次数: 75

Abstract

This paper presents an electronic travel aid for blind people to navigate safely and quickly, an obstacle detection system using ultrasonic sensors and USB camera based visual navigation has been considered. The proposed system detects the obstacles up to 300 cm via sonar and sends feedback (beep sound) to inform the person about its location. In addition to this, an USB webcam is connected with eBox 2300™ Embedded System for capturing the field of view of the user, which is used for finding the properties of the obstacle in particular, in the context of this work, locating a human being. Identification of human presence is based on face detection and cloth texture analysis. The major constraints for these algorithms to run on Embedded System are small image frame (160×120) having reduced faces, limited memory and very less processing time available to achieve real time image processing requirements. The algorithms are implemented in C++ using Visual Studio 5.0 IDE, which runs on Windows CE™ environment.

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为视障人士提供的电子导航设备

本文提出了一种使盲人安全、快速导航的电子助行器，设计了一种基于超声传感器和USB摄像头的视觉导航障碍检测系统。该系统通过声纳探测300厘米以内的障碍物，并发送反馈(哔哔声)告知人们障碍物的位置。除此之外，USB网络摄像头与eBox 2300™嵌入式系统相连，用于捕获用户的视野，用于查找障碍物的属性，特别是在本工作的背景下，定位人类。识别人的存在是基于人脸检测和布料纹理分析。这些算法在嵌入式系统上运行的主要限制是小图像帧(160×120)具有减少的面孔，有限的内存和非常少的处理时间，以实现实时图像处理要求。该算法是在Windows CE™环境下使用Visual Studio 5.0 IDE用c++语言实现的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)

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