Real Time Face Mask Detection with Deep Learning

Open Access

Year : 2021 | Volume : | Issue : 1 | Page : 8-11
By

    Tanishque Shandilya

  1. Sudha K

  2. Apoorav

  3. Nikhil Arya

  1. B.Tech Scholars, Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India
  2. Assistant Professor, Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India

Abstract

The pandemic because of COVID-19 needs no introduction. An all-too-important and successful weapon against it has been the utilization of face masks. A special technique is presented in this paper for detecting automatically whether someone is wearing a mask or not, contingent on the machine learning technique. The findings can be utilized by authorities to warn or fine people for not wearing mask, especially at public places. This work relies on deep learning through neural networks, specifically, MobileNetV2, trained and examined on images of people faces with and without masks, collected from different sources. The accuracy of the detection is 96% on the test dataset whereas the most effective result in the literature is 92% or lower.

Keywords: Automatic mask detection, Deep learning, coronavirus, COVID-19, CNN, mobilenetV2

[This article belongs to International Journal of Analog Integrated Circuits(ijaic)]

How to cite this article: Tanishque Shandilya, Sudha K, Apoorav, Nikhil Arya Real Time Face Mask Detection with Deep Learning ijaic 2021; 7:8-11
How to cite this URL: Tanishque Shandilya, Sudha K, Apoorav, Nikhil Arya Real Time Face Mask Detection with Deep Learning ijaic 2021 {cited 2021 Sep 07};7:8-11. Available from: https://journals.stmjournals.com/ijaic/article=2021/view=90364

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Regular Issue Open Access Article
Volume 7
Issue 1
Received July 25, 2021
Accepted August 19, 2021
Published September 7, 2021