Automated Contactless Temperature and Facemask Detection Using Deep Learning

Authors

  • Pratik A. Malave  Department of Computer Engineering, Shree Ramchandra College of Engineering, Pune, Maharashtra, India
  • Sachin M. Wagde  Department of Computer Engineering, Shree Ramchandra College of Engineering, Pune, Maharashtra, India
  • Iresh S. Vacche  Department of Computer Engineering, Shree Ramchandra College of Engineering, Pune, Maharashtra, India
  • Manali S. Gaikwad  Department of Computer Engineering, Shree Ramchandra College of Engineering, Pune, Maharashtra, India
  • Bapuraje Arkas  Assistant Professor, Department of Computer Engineering, Shree Ramchandra College of Engineering, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST2183116

Keywords:

Deep Learning, TensorFlow, OpenCV, Dlib

Abstract

In Our proposed project we are using raspberry pi to detect face mask and temperature of a person. COVID-19 is an infectious disease caused by the corona virus. Corona virus is nothing but a family of viruses which cause the illness in humans. The common symptoms of this virus are fever, dry cough, breathing problem, etc. It is necessary to maintain a social distance and wear a face mask to avoid the chances of getting the virus, as it is affecting the whole world. And for this we need a system which will keep an eye on everyone to ensure the safety of ourselves as well as of others. To ensure the safety of the public, we tried to build a system for contactless Face Mask and Temperature Detection. This project will be helpful in crowded places or workstations to provide support for the prevention and control of Covid-19.

References

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Pratik A. Malave, Sachin M. Wagde, Iresh S. Vacche, Manali S. Gaikwad, Bapuraje Arkas "Automated Contactless Temperature and Facemask Detection Using Deep Learning" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.521-527, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183116