Navigation and Obstacle Detection for Visually Impaired Individuals Using RFID and Supersonic Sensor

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    This work represents the implementation and architecture of a system that helps the visually impaired people (VIPs) to navigate to their desired location. The system is designed with RFID tag and voice communication along with obstacle avoidance for the purpose of guiding visually impaired people. The visually impaired people issues the command through a Braille keypad (supermarkets, medicals, hospitals and stores)    and receives the direction response by using a RFID tag as an audio message.  Supersonic sensor is used to detect an obstacle to avoid collision in their surroundings by sending an audio message. ZigBee protocol is also used to intimate the VIPs about the traffic signals in order to avoid accidents. With the advancement in voice communication it becomes easier to issue commands regarding directions to the visually impaired people. In future it can be implemented with GPS for long distance navigation.


  • Keywords

    Blind, voice control, navigation assistance for visually impaired people, way finding, RFID, ultrasonic sensor, Zigbee

  • References

      [1] Jayron Sanchez, Analyn Yumang, and Felicito Caluyo “RFID Based Indoor Navigation with Obstacle Detection Based on A* Algorithm for the Visually Impaired” International Journal of Information and Electronics Engineering, Vol. 5, No. 6, November 2015

      [2] R. Tapu, B. Mocanu, T. Zaharia" Real time static/dynamic obstacle detection for visually impaired persons" iEEE international Conference on consumer electronics (iCCE),978-14799-2191-9114, pp. 394-395,2014

      [3] Joao Jose, Miguel Farrajota, Joao M.F.Rodrigues , J.M.Hangdu Buf, “The Smart Vision Local Navigation Aid For Blind and Visually Impaired Persons” International Journal of Digital Content Technology and its Applications vol: 5 no:5 · May 2011

      [4] Dr. AntoBennet, M, Sankar Babu G, Natarajan S, “Reverse Room Techniques for Irreversible Data Hiding ”, Journal of Chemical and Pharmaceutical Sciences 08(03): 469-475, September 2015.

      [5] Dr. AntoBennet, M , Sankaranarayanan S, Sankar Babu G, “ Performance & Analysis of Effective Iris Recognition System Using Independent Component Analysis ”, Journal of Chemical and Pharmaceutical Sciences 08(03): 571-576, August 2015.

      [6] Dr. AntoBennet, M, Suresh R, Mohamed Sulaiman S, “Performance &analysis of automated removal of head movement artifacts in EEG using brain computer interface”, Journal of Chemical and Pharmaceutical Research 07(08): 291-299, August 2015.

      [7] Dr. AntoBennet, M “A Novel Effective Refined Histogram For Supervised Texure Classification”, International Journal of Computer & Modern Technology , Issue 01 ,Volume02 ,pp 67-73, June 2015.

      [8] Dr. AntoBennet, M, Srinath R,Raisha Banu A,“Development of Deblocking Architectures for block artifact reduction in videos”, International Journal of Applied Engineering Research, Volume 10, Number 09 (2015) pp. 6985-6991, April 2015.




Article ID: 28671
DOI: 10.14419/ijet.v7i4.6.28671

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.