Feasibility Study of the Implementation of Ir Technology for the Recognition of Covid-19 Carriers in Public Places

Miguel Angel Quiroz Martinez; Daniela Estefany Claudett Villalba; Monica Daniela Gomez Rios; Maikel Yelandi Leyva Vazquez

doi:10.54941/ahfe1001083

Feasibility Study of the Implementation of Ir Technology for the Recognition of Covid-19 Carriers in Public Places

Miguel Angel Quiroz Martinez
, Daniela Estefany Claudett Villalba
, Monica Daniela Gomez Rios
, Maikel Yelandi Leyva Vazquez

Research Group in Artificial Intelligence and Facial Recognition (GIIAR)

Research output: Contribution to conference › Paper

Abstract

Identifying COVID-19 carriers has become the first need worldwide, especially in crowded airports, stores, etc. There are systems based on infrared vision that can help recognize one of the most common symptoms of this pandemic disease: body temperature. The study presented here aims to analyze the feasibility of implementing infrared (IR) technology in public places for the effective and efficient recognition of people with symptoms of elevated temperature or fever. As a result, the best solution (IR) was obtained in terms of time, accuracy, and ergonomics, depending on the user. Sampling was also conducted to measure the feasibility, with a sample of approximately 400 users who visited the COVID-19 vaccination center, located at the Salesian University of Guayaquil-Ecuador. A percentage of time and error is presented, using 2 of the most used technologies in the technological market, thermographic technology and thermopile, considering the proposal as very feasible.

Translated title of the contribution	Estudio de viabilidad de la implementación de tecnología IR para el reconocimiento de portadores de Covid-19 en lugares públicos
Original language	English (US)
DOIs	https://doi.org/10.54941/ahfe1001083
State	Published - 22 Feb 2022
Event	5th International Conference on Intelligent Human Systems Integration (IHSI 2022) - IT Duration: 22 Feb 2022 → 24 Feb 2022 https://ihsint.org/series.html

Conference

Conference	5th International Conference on Intelligent Human Systems Integration (IHSI 2022)
Period	22/02/22 → 24/02/22
Internet address	https://ihsint.org/series.html

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Infrared technology
Thermopile
Covid-19
Thermographic technology

CACES Knowledge Areas

8116A Information Systems

Access to Document

10.54941/ahfe1001083

Cite this

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title = "Feasibility Study of the Implementation of Ir Technology for the Recognition of Covid-19 Carriers in Public Places",

abstract = "Identifying COVID-19 carriers has become the first need worldwide, especially in crowded airports, stores, etc. There are systems based on infrared vision that can help recognize one of the most common symptoms of this pandemic disease: body temperature. The study presented here aims to analyze the feasibility of implementing infrared (IR) technology in public places for the effective and efficient recognition of people with symptoms of elevated temperature or fever. As a result, the best solution (IR) was obtained in terms of time, accuracy, and ergonomics, depending on the user. Sampling was also conducted to measure the feasibility, with a sample of approximately 400 users who visited the COVID-19 vaccination center, located at the Salesian University of Guayaquil-Ecuador. A percentage of time and error is presented, using 2 of the most used technologies in the technological market, thermographic technology and thermopile, considering the proposal as very feasible.",

keywords = "Infrared technology, Thermopile, Covid-19, Thermographic technology, Infrared technology, Thermopile, Covid-19, Thermographic technology",

author = "\{Quiroz Martinez\}, \{Miguel Angel\} and \{Claudett Villalba\}, \{Daniela Estefany\} and \{Gomez Rios\}, \{Monica Daniela\} and \{Leyva Vazquez\}, \{Maikel Yelandi\}",

year = "2022",

month = feb,

day = "22",

doi = "10.54941/ahfe1001083",

language = "English (US)",

note = "5th International Conference on Intelligent Human Systems Integration (IHSI 2022) ; Conference date: 22-02-2022 Through 24-02-2022",

url = "https://ihsint.org/series.html",

}

Feasibility Study of the Implementation of Ir Technology for the Recognition of Covid-19 Carriers in Public Places. / Quiroz Martinez, Miguel Angel; Claudett Villalba, Daniela Estefany; Gomez Rios, Monica Daniela et al.
2022. Paper presented at 5th International Conference on Intelligent Human Systems Integration (IHSI 2022).

Research output: Contribution to conference › Paper

TY - CONF

T1 - Feasibility Study of the Implementation of Ir Technology for the Recognition of Covid-19 Carriers in Public Places

AU - Quiroz Martinez, Miguel Angel

AU - Claudett Villalba, Daniela Estefany

AU - Gomez Rios, Monica Daniela

AU - Leyva Vazquez, Maikel Yelandi

PY - 2022/2/22

Y1 - 2022/2/22

N2 - Identifying COVID-19 carriers has become the first need worldwide, especially in crowded airports, stores, etc. There are systems based on infrared vision that can help recognize one of the most common symptoms of this pandemic disease: body temperature. The study presented here aims to analyze the feasibility of implementing infrared (IR) technology in public places for the effective and efficient recognition of people with symptoms of elevated temperature or fever. As a result, the best solution (IR) was obtained in terms of time, accuracy, and ergonomics, depending on the user. Sampling was also conducted to measure the feasibility, with a sample of approximately 400 users who visited the COVID-19 vaccination center, located at the Salesian University of Guayaquil-Ecuador. A percentage of time and error is presented, using 2 of the most used technologies in the technological market, thermographic technology and thermopile, considering the proposal as very feasible.

AB - Identifying COVID-19 carriers has become the first need worldwide, especially in crowded airports, stores, etc. There are systems based on infrared vision that can help recognize one of the most common symptoms of this pandemic disease: body temperature. The study presented here aims to analyze the feasibility of implementing infrared (IR) technology in public places for the effective and efficient recognition of people with symptoms of elevated temperature or fever. As a result, the best solution (IR) was obtained in terms of time, accuracy, and ergonomics, depending on the user. Sampling was also conducted to measure the feasibility, with a sample of approximately 400 users who visited the COVID-19 vaccination center, located at the Salesian University of Guayaquil-Ecuador. A percentage of time and error is presented, using 2 of the most used technologies in the technological market, thermographic technology and thermopile, considering the proposal as very feasible.

KW - Infrared technology

KW - Thermopile

KW - Covid-19

KW - Thermographic technology

KW - Infrared technology

KW - Thermopile

KW - Covid-19

KW - Thermographic technology

UR - https://openaccess.cms-conferences.org/publications/book/978-1-7923-8988-7/article/978-1-7923-8988-7_151

U2 - 10.54941/ahfe1001083

DO - 10.54941/ahfe1001083

M3 - Paper

T2 - 5th International Conference on Intelligent Human Systems Integration (IHSI 2022)

Y2 - 22 February 2022 through 24 February 2022

ER -

Feasibility Study of the Implementation of Ir Technology for the Recognition of Covid-19 Carriers in Public Places

Abstract

Conference

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

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Cite this