Thermal Sensors for Contactless Temperature Measurements, Occupancy Detection, and Automatic Operation of Appliances during the COVID-19 Pandemic: A Review.

COVID-19 TMOS bolometer motion occupancy pyroelectric sensor temperature thermal detector thermal sensor thermopile

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
03 Feb 2021
Historique:
received: 14 01 2021
revised: 27 01 2021
accepted: 30 01 2021
entrez: 6 2 2021
pubmed: 7 2 2021
medline: 7 2 2021
Statut: epublish

Résumé

The worldwide spread of COVID-19 has forced us to adapt to a new way of life made of social distancing, avoidance of physical contact and temperature checks before entering public places, in order to successfully limit the virus circulation. The role of technology has been fundamental in order to support the required changes to our lives: thermal sensors, in particular, are especially suited to address the needs arisen during the pandemic. They are, in fact, very versatile devices which allow performing contactless human body temperature measurements, presence detection and people counting, and automation of appliances and systems, thus avoiding the need to touch them. This paper reviews the theory behind thermal detectors, considering the different types of sensors proposed during the last ten years, while focusing on their possible employment for COVID-19 related applications.

Identifiants

pubmed: 33546478
pii: mi12020148
doi: 10.3390/mi12020148
pmc: PMC7913641
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Références

Sensors (Basel). 2020 Jun 05;20(11):
pubmed: 32517094
Sensors (Basel). 2020 Jul 18;20(14):
pubmed: 32708509
Sensors (Basel). 2013 Nov 20;13(11):15833-45
pubmed: 24264331
Micromachines (Basel). 2019 Dec 13;10(12):
pubmed: 31847124
Sensors (Basel). 2019 Sep 16;19(18):
pubmed: 31527508

Auteurs

Elisabetta Moisello (E)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, 2100 Pavia, Italy.

Piero Malcovati (P)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, 2100 Pavia, Italy.

Edoardo Bonizzoni (E)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, 2100 Pavia, Italy.

Classifications MeSH