使用深度学习框架帮助视障人士和盲人的基于计算机视觉的辅助技术

Mohamamd Farukh Hashmi, V. Gupta, Dheeravath Vijay, Vinaybhai Rathwa
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引用次数: 1

摘要

世界上数以百万计的人无法理解环境,因为他们是盲人或视障人士。他们也有导航困难,导致社交尴尬。他们可以用一些其他的方式来处理他们的生活和日常事务。对于他们来说,在未知的环境中寻找东西是非常困难的。盲人和视障人士在交谈时面临许多困难,因为他们无法确定对方是在对自己说话还是在对别人说话。基于计算机视觉的技术在这个领域有了很大的发展。近年来,深度卷积神经网络的发展非常迅速。使用基于计算机视觉的技术来帮助视障人士是非常有帮助的。在这一章中,听觉是用来理解世界的。视觉和听觉都有相似之处:视觉和听觉都是可以定位的。许多人没有意识到,我们能够通过听到声音来识别声源的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Vision-Based Assistive Technology for Helping Visually Impaired and Blind People Using Deep Learning Framework
Millions of people in this world can't understand environment because they are blind or visually impaired. They also have navigation difficulties which leads to social awkwardness. They can use some other way to deal with their life and daily routines. It is very difficult for them to find something in unknown environment. Blind and visually impaired people face many difficulties in conversation because they can't decide whether the person is talking to them or someone else. Computer vision-based technologies have increased so much in this domain. Deep convolutional neural network has developed very fast in recent years. It is very helpful to use computer vision-based techniques to help the visually impaired. In this chapter, hearing is used to understand the world. Both sight sense and hearing have the same similarity: both visual object and audio can be localized. Many people don't realise that we are capable of identifying location of the source of sound by just hearing it.
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