A Survey on Visionary Eye for Visual Impairment

Authors

  • Ruchir Shah  UG Scholar, Sigma Institute of Engineering, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dhaval Tamboli  UG Scholar, Sigma Institute of Engineering, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Ajay Makwana  UG Scholar, Sigma Institute of Engineering, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Ravindra Baria  UG Scholar, Sigma Institute of Engineering, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Kishori Shekokar  Assistant Professor, Sigma Institute of Engineering, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dr. Sheshang Degadwala  Associate Professor, Sigma Institute of Engineering, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

DOI:

https://doi.org//10.32628/IJSRSET20765

Keywords:

Computer Vision, Navigation, Artificial Intelligent, Human-Computer Interaction, Visual Impairment, Text to Speech, Speech to Text.

Abstract

In this survey paper, we have discussed a proposed system that can be a visionary eye for a blind person. A common goal in computer vision research is to build machines that can replicate the human vision system. For example, to recognize and describe objects/scenes. People who are blind to overcome their real daily visual challenges. To develop a machine that can work by the vocal and graphical assistive answer. A machine can work on voice assistant and take the image taken by a person and after an image processing and extract the result after neural networks.

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Published

2020-11-30

Issue

Section

Research Articles

How to Cite

[1]
Ruchir Shah, Dhaval Tamboli, Ajay Makwana, Ravindra Baria, Kishori Shekokar, Dr. Sheshang Degadwala, " A Survey on Visionary Eye for Visual Impairment, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 6, pp.33-39, November-December-2020. Available at doi : https://doi.org/10.32628/IJSRSET20765