Face and Text Recognition for Visually Impaired Person Based On Raspberrypi

Authors

  • Dr.R.Naveen Associate Professor, Electronics and Communication Engineering Info Institute of Engineering, Tamilnadu
  • S.A.Sivakumar Assistant Professor, Electronics and Communication Engineering Info Institute of Engineering, Tamilnadu
  • M.Cholavendan Assistant Professor, Electronics and Communication Engineering Info Institute of Engineering, Tamilnadu
  • S.Satheesh kumar UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering, Tamilnadu
  • A.Sivanesh Kumar Singh UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering, Tamilnadu
  • S.Thilak UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering, Tamilnadu
  • C.Arunkumar UG Scholar, Electronics and Communication Engineering, Info Institute of Engineering, Tamilnadu

Keywords:

Raspberrypi, blind people, sign recognition, digital imaging devices, visual assistance

Abstract

 Independent travel is a well known challenge for blind or visually impaired persons and also the increasing
availability of cost efficiency, high performance and portable digital imaging devices has created a tremendous
opportunity for supplementing traditional scanning for document image acquisition. We propose a camera based visual
assistance framework for text reading, motion of objects and the feelings of persons etc.. It converts into a voice output to
help blind peoples. Thus we propose this system from a single camera-captured image as well as more number of frames
and highlight some sample applications under development and feasible ideas for future development.

Downloads

Published

2018-03-25

How to Cite

Dr.R.Naveen, S.A.Sivakumar, M.Cholavendan, S.Satheesh kumar, A.Sivanesh Kumar Singh, S.Thilak, & C.Arunkumar. (2018). Face and Text Recognition for Visually Impaired Person Based On Raspberrypi. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 90–94. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2608

Issue

Vol. 5 No. 3 (2018): Volume 5 Issue 3 March 2018

Section

Articles