TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 19, No 6: December 2021

An assisting model for the visually challenged to detect bus door accurately

Sreenu Ponnada (Vishnu Institute of Technology)
Praveen Kumar Sekharamantry (GITAM University)
Abhinav Dayal (Vishnu Institute of Technology)
Srinivas Yarramalle (GITAM University)
Nagesh Vadaparthi (MVGR College of Engineering)
Jude Hemanth (Karunya Institute of Technology and Sciences)



Article Info

Publish Date
01 Dec 2021

Abstract

Visually impaired individuals are increasing and as per global statistics, around 39 million are blind, and 246 million are affected by low vision. Even in India, as per the recent reviews, over 5 million visually challenged people are present. Authors performed a survey of some critical problems the visually challenged people faced in India from the centre for visually challenged (CVC) School established by UVSM Hospitals. Among the major problems identified through survey, most of these persons prefer carrying out their tasks independently, and depend on public transport buses for migration. However, critical sub-problems being faced include; bus door identification and identifying the bus route number accurately. This article aims to provide solutions in helping visually challenged individuals to identify exact bus that drives them to their destination, its door, bus number, and the path for boarding bus. A video sequence of current scenario would be sent to mobile, in which the actual processing of image is carried out. After the video sequence processing, generated output is a voice message that specifies the bus's location, door, and exact information of the bus number along the road path directly to the user using a wireless device aiming foa a low-cost solution.

Copyrights © 2021






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...