Implementation of the Convolutional Neural Network Method to Detect the Use of Masks

Authors

  • Arbiati Faizah Hasyim Asy'ari University, Indonesia
  • Pujo Hari Saputro Universitas Alma Ata, Indonesia
  • Augusta Jannatul Firdaus Universitas Hasyim Asy’ari, Indonesia
  • Raden Nur Rachman Dzakiyullah Universitas Alma Ata, Indonesia

DOI:

https://doi.org/10.47738/ijiis.v4i1.75

Keywords:

Facemask Detection, CNN, OpenCV, COVID-19

Abstract

The planet has been taken seriously by Coronavirus disease since the end of 2019. Wearing a mask in public is one of the key means of security for people. Furthermore, certain public service vendors only require clients to use the service if they wear masks correctly. However, based on image processing, there is relatively little study into the discovery of face masks. Almost everybody appears to wear a mask in order to shield themselves from the COVID-19 Pandemic. Monitoring whether people in the crowd wear face masks at the most public place, such as malls, museums, parks, has become increasingly important. The development of an AI approach to deal with if the person wears a face mask and their entrance would significantly assist society. In this article, we will use a deep learning model that is then combined with Keras / TensorFlow & OpenCV, respectively CNN or Confusional Neural Network. The accuracy of the research results obtained from this model is more than 96%.

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Published

2021-03-01

Issue

Vol. 4 No. 1: March 2021

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Articles

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