Visual Assistant for Blind People using Raspberry Pi

Authors

  • Tejal Adep  Information Technology, Bharati Vidyapeeth’s College of Engineering for Women's, Pune, Maharashtra, India
  • Rutuja Nikam  Information Technology, Bharati Vidyapeeth’s College of Engineering for Women's, Pune, Maharashtra, India
  • Sayali Wanewe  Information Technology, Bharati Vidyapeeth’s College of Engineering for Women's, Pune, Maharashtra, India
  • Dr. Ketaki B. Naik  Associate Professor, Information Technology, Bharati Vidyapeeth's College of Engineering for Women's, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT2173142

Keywords:

Navigation, Open CV, Python, Raspberry Pi, speech commands, Video capturing.

Abstract

Blind people face the problem in daily life. They can't even walk without any aid. Many times they rely on others for help. Several technologies for the assistance of visually impaired people have been developed. Among the various technologies being utilized to assist the blind, Computer Vision-based solutions are emerging as one of the most promising options due to their affordability and accessibility. This paper proposes a system for visually impaired people. The proposed system aims to create a wearable visual aid for visually impaired people in which speech commands are accepted by the user. Its functionality addresses the identification of objects and signboards. This will help the visually impaired person to manage day-to-day activities and navigate through his/her surroundings. Raspberry Pi is used to implement artificial vision using python language on the Open CV platform.

References

  1. Kiran G Vetteth, Prithvi Ganesh K, Durbha Srikar “Collision Avoidance Device For Visually Impaired”, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 2, ISSUE 10, OCTOBER 2013
  2. S. Sivakumar, T. M. Pavithra, K. Pooja Shree, S. Reshma “Intelligent Virtual Assistant for Visually Impaired People using Raspberry Pi”, International Journal of Engineering Science and Computing, Issue 3, March 2020.
  3. The Linn, Ali Jwaid, Steve Clark, “Smart Glove for Visually Impaired”, IEEE, Issue 18, July 2017.
  4. Steven Edwin Moore, "Drishti: An Integrated Navigation System for the Visually Impaired and Disabled”, IEEE, Issue 8 October 2002.
  5. Anitha. J, Subalaxmi. A Vijayalakshmi. G, “Real-Time Object Detection For Visually Challenged Person”, International Journal of Innovative Technology and Exploring Engineering, Issue-8 June 2019.
  6. Heika Gada, Vedant Gokani, Abhinav Kashyap, Amit Deshmukh, "Object Recognition for the Visually Impaired " IEEE, Issue 4 January 2019.

Downloads

Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Tejal Adep, Rutuja Nikam, Sayali Wanewe, Dr. Ketaki B. Naik, " Visual Assistant for Blind People using Raspberry Pi , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.671-675, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT2173142