Wearable Technology for Visually Impaired People using Raspberry-Pi

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:

Visually Impaired, Raspberry-Pi, Text Recognition, Object Recognition, Facial Detection, Voice Command, Speech Synthesis, Python

Abstract

Fundamentally, unmistakably impeded individuals are the individuals who are halfway or completely visually impaired. To improve sight of the noticeably debilitated individual, they need to counsel eye's specialist. Causes for noticeable disability are many. Keeping in mind the end goal to defeat them or improve sight of a patient, there are bounty restorative systems. Corneal transplant, LASIK, and implantable focal points. This all systems need certain criteria to be satisfied to play out this therapeutic technique on patients. Numerous gadgets or custom guides have been produced for various sorts of people groups, so they might upgrade their sight. Be that as it may, sadly not all unmistakably impeded individuals can bear the cost of or fit in certain fundamental criteria of medicinal methodology or custom improvement helps. Raspberry Pi assists to recognize text, describe an object and provide speech synthesis, all together works on voice commands as well as on console interface Using cloud based Artificial Intelligence services. This device provides auditory output assisting the challenged to perceive their surroundings like a normal being.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-10

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Chirag Thakur, Yash Pathak, Henali Hapaliya, Kalyani Adawadkar, Pinkal Shah "Wearable Technology for Visually Impaired People using Raspberry-Pi" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.399-403, March-April-2018.