Overview of Use of Raspberry Pi in Implementation of Machine Learning and Image Processing

Authors

  • Savion Mario Sequeira  B.Tech Student, Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, India
  • S. Shanmuga Priya  Senior Assistant Professor, Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, India

Keywords:

Raspberry Pi, Machine Learning, Image Processing

Abstract

Raspberry Pi is a low cost credit sized computer that anyone can purchase and use. It is necessary to understand the usage of it and how to implement it with current technologies. This paper will focus on how one can implement Machine Learning techniques and Image processing effectively in a Raspberry Pi.

References

  1. Eben Upton and Gareth Halfacree ,”Raspberry Pi User Guide”, WILEY Publications, 2012.
  2. Andrew Robinson and Mike Cook ,”Raspberry Pi Project”, WILEY Publications, 2013, pp. 9-28.
  3. Kevin Gurney, “An Introduction to Neural Networks”, UCL Press Publications, 1997, pp. 12- 16.
  4. Dave Kuhlman,” A Python Book: Beginning Python, Advanced Python, and Python Exercises”, Platypus Global Media,2013, pp 12-13.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-12-30

Issue

Volume 4, Issue 9, November-December-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Savion Mario Sequeira, S. Shanmuga Priya, " Overview of Use of Raspberry Pi in Implementation of Machine Learning and Image Processing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 9, pp.413-416, November-December-2019.