IoT-Based COVID-19 SOP Compliance and Monitoring System for Businesses and Public Offices

Afnan Bashir; Umer Izhar; Christian M Jones

doi:10.3390/ecsa-7-08267

Back

IoT-Based COVID-19 SOP Compliance and Monitoring System for Businesses and Public Offices

Conference paper

Open access

Peer reviewed

IoT-Based COVID-19 SOP Compliance and Monitoring System for Businesses and Public Offices

Afnan Bashir, Umer Izhar and Christian M Jones

Engineering Proceedings, Vol.2(1), pp.1-6

International Electronic Conference on Sensors and Applications, 7th (Online, 15-Nov-2020–30-Nov-2020)

MDPI AG

2020

DOI: https://doi.org/10.3390/ecsa-7-08267

Appears in COVID-19 Research

Files and links (2)

pdf

IoT_CoVID compliance1.76 MBDownload View

Published VersionCC BY V4.0, Open Access

url

https://doi.org/10.3390/ecsa-7-08267View

Published Version

Abstract

IoT

compliance monitoring

coronavirus

pandemic

COVID-19

internet of things

IoT applications

smart sensor

crowd counting

COVID compliance

social distancing

We propose a low-cost internet of things (IoT)-enabled COVID-19 standard operating procedure (SOP) compliance system that counts the number of people entering and leaving a vicinity, ensures physical distancing, monitors body temperature and warns attendees and managers of violations. The system comprises of multiple sensor nodes communicating with a centralized server. The data stored on the server can be used for compliance auditing, real-time monitoring, and planning purposes. The system does not record the personal information of attendees nor provide contact tracing information.

Details

Title: IoT-Based COVID-19 SOP Compliance and Monitoring System for Businesses and Public Offices
Authors: Afnan Bashir (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Social Sciences - Legacy
Umer Izhar (Author) - University of the Sunshine Coast, Queensland, School of Science and Engineering - Legacy
Christian M Jones (Author) - University of the Sunshine Coast, Queensland, School of Social Sciences - Legacy
Publication details: Engineering Proceedings, Vol.2(1), pp.1-6
Conference details: International Electronic Conference on Sensors and Applications, 7th (Online, 15-Nov-2020–30-Nov-2020)
Publisher: MDPI AG
Date published: 2020
DOI: 10.3390/ecsa-7-08267
ISSN: 2673-4591
Copyright note: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab; School of Law and Society
Language: English
Record Identifier: 99691598602621
Output Type: Conference paper

Metrics

226 File views/ downloads

90 Record Views