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

IJIIS : International Journal of Informatics and Information Systems

View Publication Info
 
 
Field Value
 
Title Implementation of the Convolutional Neural Network Method to Detect the Use of Masks
 
Creator Faizah, Arbiati
Saputro, Pujo Hari
Firdaus, Augusta Jannatul
Rachman Dzakiyullah, Raden Nur
 
Subject Facemask Detection, CNN, OpenCV, COVID-19
 
Description 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%.
 
Publisher Bright Publisher
 
Contributor Hasyim Asy'ari University
 
Date 2021-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijiis.org/index.php/IJIIS/article/view/75
10.47738/ijiis.v4i1.75
 
Source International Journal of Informatics and Information Systems; Vol 4, No 1: March 2021; 30-37
2579-7069
10.47738/ijiis.v4i1
 
Language eng
 
Relation http://ijiis.org/index.php/IJIIS/article/view/75/34
 
Rights Copyright (c) 2021 IJIIS: International Journal of Informatics and Information Systems
https://creativecommons.org/licenses/by-sa/4.0
 

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