Visionary Eye for Visual Impairment

Authors

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

DOI:

https://doi.org/10.32628/CSEIT217254

Keywords:

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

Abstract

In this Research 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. And it all happens in real-time.

References

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Published

2021-04-30

Issue

Section

Research Articles

How to Cite

[1]
Ruchir Shah, Dhaval Tamboli, Ravindra Baria, Ajay Makwana, Kishori Shekokar, Dr. Sheshang Degadwala, " Visionary Eye for Visual Impairment" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.215-221, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT217254