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Reseach Article

A Smart Walking Stick Powered by Artificial Intelligence for the Visually Impaired

by Siddhi Degaonkar, Mohit Gupta, Prajakta Hiwarkar, Musahib Singh, S. A. Itkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 32
Year of Publication: 2019
Authors: Siddhi Degaonkar, Mohit Gupta, Prajakta Hiwarkar, Musahib Singh, S. A. Itkar
10.5120/ijca2019919156

Siddhi Degaonkar, Mohit Gupta, Prajakta Hiwarkar, Musahib Singh, S. A. Itkar . A Smart Walking Stick Powered by Artificial Intelligence for the Visually Impaired. International Journal of Computer Applications. 178, 32 ( Jul 2019), 7-10. DOI=10.5120/ijca2019919156

@article{ 10.5120/ijca2019919156,
author = { Siddhi Degaonkar, Mohit Gupta, Prajakta Hiwarkar, Musahib Singh, S. A. Itkar },
title = { A Smart Walking Stick Powered by Artificial Intelligence for the Visually Impaired },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2019 },
volume = { 178 },
number = { 32 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number32/30741-2019919156/ },
doi = { 10.5120/ijca2019919156 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:51:59.818954+05:30
%A Siddhi Degaonkar
%A Mohit Gupta
%A Prajakta Hiwarkar
%A Musahib Singh
%A S. A. Itkar
%T A Smart Walking Stick Powered by Artificial Intelligence for the Visually Impaired
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 32
%P 7-10
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of developing a cost-effective smart walking stick for the visually impaired and the need increased with a steady increase in their population worldwide. The smart stick presented in this paper uses artificial intelligence along with ultrasonic sensors to help the visually disabled people to navigate through the environment independently. Image recognition, Collision detection and obstacle detection are the tasks performed on a raspberry pi having high processing power. The task of obstacle detection and obstacle avoidance makes use of ultrasonic sensors to alert the user of the obstacles appearing in his path. The smart walking stick also demonstrated the important characteristics of affordability, mobility and high performance

References
  1. Blindness: vision 2020 The global initiative for the elimination of avoidable blindness. Retrieved from http://www.who.int/mediacentre/factsheets/fs213/en/
  2. Visual impairment and blindness. Retrieved from http://www.who.int/mediacentre/factsheets/fs282/en/
  3. A. Iqbal, U. Farooq, H. Mahmood, and M.U. Asad, “A low cost artificial vision system for visually impaired people,” 2009 Second International Conference on Computer and Electrical Engineering, pp. 474-479, December 2009.
  4. Sandesh Chinchole, Samir Patel, “Artificial Intelligence and Sensor Based Assistive System for Visually ImpairedPeople”, Proceedings of the International Conference onIntelligent Sustainable Systems (ICISS 2017)
  5. S. Shoval, J. Borenstein, and Y . Koren, “Mobile robot obstacle avoidance in a computerized travel aid for the blind,” Proceedings of the 1994 IEEE International Conference on Robotics and Automation, vol. 3, pp. 2023–2028, May 1994.
  6. Google TalkBack. Retrieved from https://en.wikipedia.org/wiki/Google_Talkback
  7. Computer Vision API version 1.0, October 2017.Retrieved from https://docs.microsoft.com/en-in/azure/cognitive- services/computer-vision/home
  8. A. Linn. Teaching computers to describe images as people would, April 2016. Retrieved from https://blogs.microsoft.com/ai/2016/04/14/teaching-compute rs-to-
Index Terms

Computer Science
Information Sciences

Keywords

Visually impaired Image Recognition Collision Detection Artificial Intelligence Ultrasonic Sensors Raspberry Pi.