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

Open Access
Article
Conference Proceedings
Authors: Miguel Angel Quiroz MartinezDaniela Claudett VillalbaMonica Daniela Gomez RiosMaikel Yelandi Leyva Vázquez
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: Covid-19, Infrared Technology, Thermographic Technology, Thermopile

DOI: 10.54941/ahfe1001083

Cite this paper
Downloads
596
Visits
1037
Download PDF

More from this volume

The mapping relationship between PERCLOS and work fatigue: a correlation verification experiment based on radial basis function neural networkBenchmarking of activation functions for breast cancer detection
View all articles in Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems