Open AccessOUTDOOR and INDOOR VISION BASED LOCALIZATION FOR BLIND PEDESTRIAN NAVIGATION ASSISTANCE
Author(s) -
K.Tasleem Banu,
K Supriya,
K Sony,
M. Chandana,
M Bhavana,
Baba Fakruddin Ali
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v04i12.127
Subject(s) - pedestrian , computer vision , computer science , artificial intelligence , transport engineering , engineering
In this paper, we present a design of a wearable equipment that helps with the perception of the environment for blind and visually impaired people in indoor and outdoor mobility and navigation. Our prototype can detect and identify traffic situations such as street crossings, traffic lamps, cars, cyclists, other people and low and high obstacles. The detection takes place in real time based on input data of sensors and optical cameras, the mobility of the user is aided with audio signals.