This paper is published in Volume-5, Issue-4, 2019
Area
Electronics Engineering
Author
Dedeepya Nelluru
Org/Univ
Bharti Airtel Limited, Gurgaon, Haryana, India
Pub. Date
05 August, 2019
Paper ID
V5I4-1253
Publisher
Keywords
Electronic travel aid, Obstacle detection, Arduino Uno, IR sensor, Ultrasonic sensor, RF transceivers

Citationsacebook

IEEE
Dedeepya Nelluru. Path planning and obstacle detection for blind people, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dedeepya Nelluru (2019). Path planning and obstacle detection for blind people. International Journal of Advance Research, Ideas and Innovations in Technology, 5(4) www.IJARIIT.com.

MLA
Dedeepya Nelluru. "Path planning and obstacle detection for blind people." International Journal of Advance Research, Ideas and Innovations in Technology 5.4 (2019). www.IJARIIT.com.

Abstract

In these rapidly expanding economies that evolve at a seeming pace, visually challenged have done the most of it in achieving formidable outcomes. However, limitations in mobility is a vital concern to be addressed for people with visual disability. Today’s demographic scenario reveals that visually impaired count for about 1% of the gross, and 10% of whom is totally blind leading to the urgency in the invention of a real problem-solving system for the impaired. Numerous devices already subsist for the need for global navigation like GPS systems, but these do not aid for the cause of local navigation, local path organizing, and crash avoidance. The key purpose behind this project is to design an electronic travel aid which consists of a wearable tool that serves the sightless to engineer their local navigation jobs. It includes a sensory system that is under the control of the user. The primary data necessary for local navigation is map data of the indoor environment which serves as the input to an audio-based navigation system that coverts this data into audio command guiding the person to navigate to a particular location. In addition to these navigation procedures, IR sensors and ultrasonic sensors are planted in for the obstacle detection on the sides and in front respectively for collision avoidance. The output from these sensor modules is fed into an Arduino microcontroller, which grabs all the output from these sensors for further processing and ending up in generating a voice output accordingly. Local navigation and collision avoidance together serve the purpose of mobility for the sightless in indoor environments.
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