Convolutional neural network architecture based automatic face mask detection

Sagar Agarwal; J. P. Patra; Suman Kumar Swarnkar

doi:10.53730/ijhs.v6nS3.5401

Convolutional neural network architecture based automatic face mask detection

https://doi.org/10.53730/ijhs.v6nS3.5401

Authors

Sagar Agarwal
sagar.agarwal@ssipmt.com
MTech Scholar, Computer Science & Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India
J. P. Patra Professor, Computer Science & Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India
Suman Kumar Swarnkar Assistant Professor, Computer Science & Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India

Keywords:

COVID-19, corona-virus precaution, face-mask detection, mobilenetV2, OpenCV

Abstract

The pandemic of COVID – 19 has affected the whole world very badly. It has rapidly affected the way of living as wearing a protective or surgical face mask is new normal. It is necessary to wear a mask before entering a shop or any public place to avail of their services. Therefore, there is a need for face mask detection to help society. In this paper, we are presenting a simplified technique that detects whether a person is wearing a mask or not automatically with percentage accuracy of the fitment of the mask over the face. This technology can be used to stop the entry or warn the person to wear a mask properly before or while entering a shop or any public place. This purpose is achieved using OpenCV, Keras packages and convolutional neural network architecture (MobileNetV2). The accuracy of the face mask detection system is 96.07%.

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References

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Prof. P Y Kumbhar, Mohammad Attaullah, Shubham Dhere, Shivkumar Hipparagi – “Real-Time Face Detection and Tracking Using OpenCV”. IJREST, Volume- 4, Issue – 4, Apr- 2017.

Chinmay Patil – “Haar Cascades On Face Mask Detection”. IJSRET, Volume -7, Issue – 2, March – April 2017.

A. Das, M. Wasif Ansari, and R. Basak, "Covid-19 Face Mask Detection Using TensorFlow, Keras, and OpenCV," 2020 IEEE 17th India Council International Conference (INDICON), 2020, pp. 1-5, DOI: 10.1109/INDICON49873.2020.9342585.

Munjal, P., Rattan, V.Dua, R., & Malik, V. . (2021). Real-Time Face Mask Detection using Deep Learning. Journal of Technology Management for Growing Economies, 12(1), 25–31. https://doi.org/10.15415/jtmge.2021.121003

Published

01-04-2022

How to Cite

Agarwal, S., Patra, J. P., & Swarnkar, S. K. (2022). Convolutional neural network architecture based automatic face mask detection. International Journal of Health Sciences, 6(S3), 623–629. https://doi.org/10.53730/ijhs.v6nS3.5401

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Issue

Vol. 6 No. S3 (2022)

Section

Peer Review Articles

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