Social Awareness and Safety Assistance of COVID-19 based on DLN face mask detection and AR Distancing

International Journal of artificial intelligence research

View Publication Info
 
 
Field Value
 
Title Social Awareness and Safety Assistance of COVID-19 based on DLN face mask detection and AR Distancing
 
Creator Tenriawaru, Andi
Basori, Ahmad Hoirul
Mansur, Andi Besse Firdausiah
Al-Qurashi, Qusai
Al-Muhaimeed, Abdullah
Al-Hazmi, Majid
 
Subject

 
Description The outbreak of coronavirus disease (COVID-19) has forced major countries to apply strict policy toward society. People must wear a facemask and always keep their distance from each other's to avoid virus contamination. Government employ officers to monitor citizen and warn them if not wearing a face mask. The warning message also spread through SMS and social media to ensure people about safety and awareness. This paper aims to provide face mask detection using the Deep Learning Network(DLN) and warning system through video stream input from CCTV or images then analyzed. If people not wearing a mask are detected, they will alert them through the speaker and remind them about a penalty. AR distancing very useful to give position toward violator location based on the detected person in a certain area. The system is designed to work intelligently and automatically without human intervention. With the accuracy of 99% recognition, it's expected that the system can help the government to increase people awareness toward the safety of themselves and people around them.
 
Publisher STMIK Dharma Wacana
 
Contributor
 
Date 2021-07-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijair.id/index.php/ijair/article/view/230
10.29099/ijair.v5i2.230
 
Source International Journal of Artificial Intelligence Research; Vol 5, No 2 (2021): December; 111 - 122
2579-7298
10.29099/ijair.v5i2
 
Language eng
 
Relation http://ijair.id/index.php/ijair/article/view/230/pdf
http://ijair.id/index.php/ijair/article/downloadSuppFile/230/49
 
Rights Copyright (c) 2021 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library