Cargando…

Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes

Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and minimal possibility of spreading infection. The use of infrared (IR) sensors to monitor building entrances for infected persons has seen a major boom betw...

Descripción completa

Detalles Bibliográficos
Autores principales: Tesař, Jiří, Muzika, Lukáš, Skála, Jiří, Kohlschütter, Tomáš, Honner, Milan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059740/
https://www.ncbi.nlm.nih.gov/pubmed/36991656
http://dx.doi.org/10.3390/s23062945
_version_ 1785016946933104640
author Tesař, Jiří
Muzika, Lukáš
Skála, Jiří
Kohlschütter, Tomáš
Honner, Milan
author_facet Tesař, Jiří
Muzika, Lukáš
Skála, Jiří
Kohlschütter, Tomáš
Honner, Milan
author_sort Tesař, Jiří
collection PubMed
description Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and minimal possibility of spreading infection. The use of infrared (IR) sensors to monitor building entrances for infected persons has seen a major boom between 2020 and 2022 due to the COVID-19 epidemic, but with questionable results. This article does not deal with the precise determination of the temperature of an individual person but focuses on the possibility of using infrared cameras for monitoring the health of the population. The aim is to use large amounts of infrared data from many locations to provide information to epidemiologists so they can have better information about potential outbreaks. This paper focuses on the long-term monitoring of the temperature of passing persons inside public buildings and the search for the most appropriate tools for this purpose and is intended as the first step towards creating a useful tool for epidemiologists. As a classical approach, the identification of persons based on their characteristic temperature values over time throughout the day is used. These results are compared with the results of a method using artificial intelligence (AI) to evaluate temperature from simultaneously acquired infrared images. The advantages and disadvantages of both methods are discussed.
format Online
Article
Text
id pubmed-10059740
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100597402023-03-30 Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes Tesař, Jiří Muzika, Lukáš Skála, Jiří Kohlschütter, Tomáš Honner, Milan Sensors (Basel) Article Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and minimal possibility of spreading infection. The use of infrared (IR) sensors to monitor building entrances for infected persons has seen a major boom between 2020 and 2022 due to the COVID-19 epidemic, but with questionable results. This article does not deal with the precise determination of the temperature of an individual person but focuses on the possibility of using infrared cameras for monitoring the health of the population. The aim is to use large amounts of infrared data from many locations to provide information to epidemiologists so they can have better information about potential outbreaks. This paper focuses on the long-term monitoring of the temperature of passing persons inside public buildings and the search for the most appropriate tools for this purpose and is intended as the first step towards creating a useful tool for epidemiologists. As a classical approach, the identification of persons based on their characteristic temperature values over time throughout the day is used. These results are compared with the results of a method using artificial intelligence (AI) to evaluate temperature from simultaneously acquired infrared images. The advantages and disadvantages of both methods are discussed. MDPI 2023-03-08 /pmc/articles/PMC10059740/ /pubmed/36991656 http://dx.doi.org/10.3390/s23062945 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Tesař, Jiří
Muzika, Lukáš
Skála, Jiří
Kohlschütter, Tomáš
Honner, Milan
Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
title Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
title_full Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
title_fullStr Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
title_full_unstemmed Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
title_short Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
title_sort measurement and processing of thermographic data of passing persons for epidemiological purposes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059740/
https://www.ncbi.nlm.nih.gov/pubmed/36991656
http://dx.doi.org/10.3390/s23062945
work_keys_str_mv AT tesarjiri measurementandprocessingofthermographicdataofpassingpersonsforepidemiologicalpurposes
AT muzikalukas measurementandprocessingofthermographicdataofpassingpersonsforepidemiologicalpurposes
AT skalajiri measurementandprocessingofthermographicdataofpassingpersonsforepidemiologicalpurposes
AT kohlschuttertomas measurementandprocessingofthermographicdataofpassingpersonsforepidemiologicalpurposes
AT honnermilan measurementandprocessingofthermographicdataofpassingpersonsforepidemiologicalpurposes