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

Título traducido de la contribución: Estudio de viabilidad de la implementación de tecnología IR para el reconocimiento de portadores de Covid-19 en lugares públicos

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

Grupo de Investigación en Inteligencia Artificial y Reconocimiento Facial (GIIAR)

Producción científica: Contribución a una conferencia › Documento

Resumen

Identificar a los portadores del COVID-19 se ha convertido en la primera necesidad en todo el mundo, especialmente en aeropuertos abarrotados, tiendas, etc. Existen sistemas basados en visión infrarroja que pueden ayudar a reconocer uno de los síntomas más comunes de esta enfermedad pandémica: la temperatura corporal. El estudio que aquí se presenta pretende analizar la viabilidad de implementar la tecnología de infrarrojos (IR) en lugares públicos para el reconocimiento eficaz y eficiente de personas con síntomas de temperatura elevada o fiebre. Como resultado, se obtuvo la mejor solución (IR) en términos de tiempo, precisión y ergonomía, en función del usuario. También se realizó un muestreo para medir la factibilidad, con una muestra de aproximadamente 400 usuarios que visitaron el centro de vacunación COVID-19, ubicado en la Universidad Salesiana de Guayaquil-Ecuador. Se presenta un porcentaje de tiempo y error, utilizando 2 de las tecnologías más utilizadas en el mercado tecnológico, tecnología termográfica y termopila, considerando la propuesta como muy factible.

Título traducido de la contribución	Estudio de viabilidad de la implementación de tecnología IR para el reconocimiento de portadores de Covid-19 en lugares públicos
Idioma original	Inglés estadounidense
DOI	https://doi.org/10.54941/ahfe1001083
Estado	Publicada - 22 feb. 2022
Evento	5th International Conference on Intelligent Human Systems Integration (IHSI 2022) - IT Duración: 22 feb. 2022 → 24 feb. 2022 https://ihsint.org/series.html

Conferencia

Conferencia	5th International Conference on Intelligent Human Systems Integration (IHSI 2022)
Período	22/02/22 → 24/02/22
Dirección de internet	https://ihsint.org/series.html

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

Palabras clave

Infrared technology
Thermopile
Covid-19
Thermographic technology

Areas de Conocimiento del CACES

8116A Sistemas de Información

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10.54941/ahfe1001083

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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.",

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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. Papel presentado en 5th International Conference on Intelligent Human Systems Integration (IHSI 2022).

Producción científica: Contribución a una conferencia › Documento

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