Obstacle Detector for Blind People Using IOT-Reference-Cited by-同舟云学术

Obstacle Detector for Blind People Using IOT

Published:2023-05-05 Issue: Volume: Page:57-61
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Chauhan Harshwardhansinh K.¹,Degadwala Sheshang²

Affiliation:

1. Department of Computer Engineering, Sigma Institute of Engineering, Gujarat Technological University, Gujarat, India

2. Associate Professor & Head of Department, Department of Computer Engineering, Sigma University, Vadodara, Gujarat, India

Abstract

The system utilizes IoT, echolocation, picture handling, man-made brainpower, and route framework innovation to distinguish between close and far snags for the client. If the visually impaired individual falls or has another issue, the framework will send an admonition to the assigned individual. It distinguishes the object before this with a specific reach. At the point when the item is recognized a signal sound is given to the client as a sign. When they hear this sound they can know a snag before them.

Publisher

Technoscience Academy

Subject

General Medicine

Reference10 articles.

1. S. Shovel, I Ulrich, J. Borenstien.Nav Belt and the Guide Cane, IEEE “Transactions on Robotics & Automation”. 2003; 10(1):9-20.

2. Mohd Helmy Abd Wahab, Amirul A. talib, Herdawatie A. Kadir, “Smart Cane: Assistive Cane for Visually-impaired People” IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 2, 2011.

3. World Health Organization, “Visual Impairment and Blindness,” Fact sheet N “282”, Oct 2014.

4. L. Whitney,"Smart cane to help blind navigate", Available from: "http://news.cnet.com/8301-17938\_105-10302499-1.html", 2009.

5. R. Radhika, P.G. Pai, S. Rakshitha and R. Srinath “Implementation of Smart Stick for Obstacle Detection and Navigation.” International Journal of Latest Research in Engineering and Technology, vol. 2, number 5, pp. 45-50, 2016.