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

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

Facemask Detection, CNN, OpenCV, COVID-19

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%.

Arbiati Faizah 1,* , Pujo Hari Saputro 2 , Augusta Jannatul Firdaus 3, Raden Nur Rachman Dzakiyullah

2021

PERI IRAWAN

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