Open AccessReal Time Object Detection for Aiding Visually Impaired using Deep Learning
Author(s) -
M. Vaidhehi,
Varun Seth,
Bhavya Singhal
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d8374.049420
Subject(s) - blindness , visually impaired , computer science , visual impairment , assistive technology , human–computer interaction , deep learning , object (grammar) , artificial intelligence , low vision , the internet , face (sociological concept) , normal vision , multimedia , computer vision , psychology , optometry , world wide web , medicine , social science , psychiatry , sociology
This research aims to create an assistive device for the people who are suffering from vision loss or impairment. The device is designed for blind people to overcome the daily challenges they face which may be perceived to be trivial to normal people. The device is created by using advance computer science technologies such as deep learning, computer vision and internet of things. The device created would be able to detect and classify daily objects and give a voice feedback to the user who is handicapped with blindness.