V2-Vizard Visualiser

Authors

  • Deepen Shrestha  Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Dipesh Shrestha  Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Gaurav Shrivastava  Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Dr. S. Sridevi  Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India

Keywords:

Covid19, Deep Learning, Keras, Tensor Flow, Face Mask Detection

Abstract

Covid-19 was declared as a pandemic by WHO on 11th March, 2020 disrupting the whole world day to day living and collapsing the economy of every nation. Wearing a mask became a vital task to prevent the transmission of the virus and is a new normal to the whole world. In the present context, it is very important for every store from bigger scale to smaller scale to enforce the rule of wearing mask which is a crucial task in order to implement. Therefore, the need of the face mask detector in the stores are must. Not only stores but it is seen to be important in each and every place This paper presents a simple approach to the solution for the stores as well as other places such as offices, homes etc. to implement the method of face mask detection using the concept of Deep Learning. The concept includes the implementation of the packages like Tensor Flow, Keras and a frontend framework Flask.

References

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Downloads

Published

2021-05-30

Issue

Section

Research Articles

How to Cite

[1]
Deepen Shrestha, Dipesh Shrestha, Gaurav Shrivastava, Dr. S. Sridevi "V2-Vizard Visualiser" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.274-280, May-June-2021.