A Comparative Study of Real-time Object Detection Systems for Navigation of the Visually Impaired

Authors

  • B R Karthik Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Manish N Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Adithya Krishna V Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Y V Sai Keerthana Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • S Prabhanjan Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Archit Krishna K Indian Institute of Technology, Kanpur, India
  • Varun C Shekar Massey University, New Zealand

DOI:

https://doi.org/10.5281/zenodo.4902963

Keywords:

Real Time Object Detection, Machine Learning, Image Processing, Computer Vision

Abstract

The visually impaired face a plethora of problems. The primary problem they face is navigating from one place to another. The detection of obstacles in the user's proximity is another challenge that needs to be addressed. This paper provides a comparative study of various real-time image recognition and object detection methods that might help develop effective navigation systems for the visually impaired.

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References

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Published

2021-06-04

How to Cite

[1]
B. R. Karthik, “A Comparative Study of Real-time Object Detection Systems for Navigation of the Visually Impaired”, pices, vol. 5, no. 2, pp. 31-33, Jun. 2021.

Issue

Vol. 5 No. 2 (2021): Issue 2 - May 2021

Section

Articles

URN

http://nbn-resolving.de/urn:nbn:de:101:1-2021060509215574312522

License

Copyright (c) 2021 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES

Creative Commons License

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