Advanced Face Mask Detection System

Authors

  • Kalki N UG Scholar, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India Author
  • Karthick M Assistant Professor, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India. Author
  • Kavin UG Scholar, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India. Author
  • Keerthana S UG Scholar, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India Author
  • Sangeetha K Assistant Professor, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, India. Author

DOI:

https://doi.org/10.47392/irjash.2021.076

Keywords:

Mask detection, CCTV, Machine learning

Abstract

Pandemic COVID-19 novelly induced coronaviruses that are continually spreading all over the world. In most areas, COVID-19 affects production has fallen. There is a crisis in the health sector. There have been several precautionary steps brought to minimize the propagation of this disease, with a mask. We are proposing a system that reduces COVID-19 development, identifying individuals who don't use a facial mask in a smart city system that monitors all public places with CCTV cameras. The appropriate authority is alerted by the city network whilst an individual is identified without a mask. Architecture for a data set that includes images of individuals with and without masks from various sources can train machine learning. A qualified architecture has achieved precision in identifying individuals from previously unknown testing data with and without a face mask.

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Published

2021-03-01