Face Mask and Social Distance Detection Using Deep Learning

Authors

  • Sourabh Utpat  Department of Computer Engineering, Pune University, Zeal College of Engineering & Research Pune -41, Pune, Maharashtra, India
  • Sanika Unavane  Department of Computer Engineering, Pune University, Zeal College of Engineering & Research Pune -41, Pune, Maharashtra, India
  • Prof. Balaji Chaugule  Department of Computer Engineering, Pune University, Zeal College of Engineering & Research Pune -41, Pune, Maharashtra, India

Keywords:

Face Mask, Covid-19, Social Distancing, CNN.

Abstract

According to the World Health Organization, the global COVID 19 pandemic had a profound impact on the world, infecting more than eight million people worldwide. Wearing face masks and maintaining a safe community distance are advanced safety measures to consider in public places to prevent the spread of the virus. It uses leisure tracking and fashion trends to achieve public safety and face masks at all levels in public places, Use digital digital camera breach to create a safe environment that contributes to social protection. If a violation is found, the output will produce a result.

References

  1. Chen Wang, Peter W Horby, Frederick G Hayden, George F Gao “A novel coronavirus outbreak of global health concern” www.thelancet.com Vol 395 February 15, 2020
  2. Laura Matrajt, Tiffany Leung “Evaluating the Effectiveness of Social Distancing Interventions to Delay or Flatten the Epidemic Curve of Coronavirus Disease” pmc article doi: 10.3201/eid2608.201093. Epub 2020 Apr 28.
  3. Shixing Chen; Caojin Zhang; Ming Dong; Jialiang Le; Mike Rao “Using Ranking-CNN for Age Estimation” 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  4. Shashi Yadav “Deep Learning based Safe Social Distancing and Face Mask Detection in Public Areas for COVID- 19 Safety Guidelines Adherence “International Journal for Research in Applied Science & Engineering Technology (IJRASET) 2020
  5. Sachin Sudhakar Farfade, Mohammad Saberian, Li-Jia Li “Multi-view Face Detection Using Deep Convolutional Neural Networks” Computer Vision and Pattern Recognition 2015

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

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Published

2022-04-30

Issue

Volume 8, Issue 2, March-April-2022

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]
Sourabh Utpat, Sanika Unavane, Prof. Balaji Chaugule, " Face Mask and Social Distance Detection Using Deep Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.421-424, March-April-2022.