AI based Assistive Wearable Device for Visually Impaired using Android Application

Authors

  • Chirag Thakur  Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Yash Pathak  Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Henali Hapaliya  Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Kalyani Adawadkar  Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Pinkal Shah  Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India

Keywords:

Wearable technology, Artificial Intelligence, Android Application, IP Camera, Visually Impaired, Object Detection, Text Detection, Face Detection, Currency Denomination, GPS and Speech Recognition.

Abstract

This system harnesses the power of Artificial Intelligence to provide vision by incorporating technology into a wearable device which improves the lives of individuals who are visually impaired. This device is useful in reading text materials, identifying different objects, facial expression detection, currency denomination and help user to locate their geographical location. User can operate whole system using only voice commands. This Device is based on our previous project which helps visibly impaired people to get auditory output to help its user to perceive their surroundings. This system has been redesigned to achieve more efficiency, feasibility and ease of use to its users.

References

  1. Amarnath singh, S.Ram kishore, G. swathi, "Portable read pad for object identification for blind through mat lab and android", January 2015.
  2. Chucai Yi, Student Member, IEEE, Yingli Tian, Senior Member, IEEE, and Aries Arditi “Portable Camera-Based Assistive Text and Product Label Reading From Hand-Held Objects for Blind Persons” 2013 IEEE.
  3. Vasanthi.G and Ramesh Babu.Y Department of ECE, DMI College of Engineering, Chennai, India. “Vision Based Assistive System for Label Detection with Voice Output”Jan-2014.
  4. Prof.R.R.Bhambare, Akshay Koul, Siddique Mohd Bilal, Siddharth Pandey, "Smart vision system for blind", Vol 3, May 2014.
  5. Petre Anghelescu, Ionut Serbanescu, Silviu Ionita, “Surveillance system using IP camera and face-detection algorithm”, 2013 IEEE.
  6. George Frewat, Charbel Baroud, Roy Sammour, Abdallah Kassem, Mustapha Hamad, "Android voice recognition application with multi speaker feature", 2016 IEEE.
  7. Mriganka Gogoi, Syed Ejaz Ali, Subra Mukherjee, "Automatic Indian currency denomination recognition system based on artificial neural network", 2015 IEEE.
  8. R. Bajaj, S.L.  Ranaweera, D.P. Agrawal "GPS: location-tracking technology", 2002 IEEE.

Downloads

Published

2018-04-10

Issue

Section

Research Articles

How to Cite

[1]
Chirag Thakur, Yash Pathak, Henali Hapaliya, Kalyani Adawadkar, Pinkal Shah, " AI based Assistive Wearable Device for Visually Impaired using Android Application, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.404-408, March-April-2018.