Physical and software bases of the device operation for remote measurement of human body temperature

Abstract A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately at the control point. To develop the technique, an experimental stand was designed and implemented in a rack with six built-in infrared sens...

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Published inJournal of physics. Conference series Vol. 2176; no. 1; pp. 12080 - 12085
Main Authors Kuznezova, A V, Rybakov, A V, Melnikova, A I, Khasanshin, I Ya, Semenov, D N, Kruglov, V I
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2022
Subjects
Artificial neural networks
Automatic control
Body temperature
High temperature
Infrared detectors
Multilayer perceptrons
Physics
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Abstract Abstract A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately at the control point. To develop the technique, an experimental stand was designed and implemented in a rack with six built-in infrared sensors. To recognize a person with an elevated temperature, an artificial neural network was used in the form of a multilayer perceptron, at the input of which there were IR sensor data. The conducted experiments showed that the trained model based on the F1-metric efficiency of 0.89 to 0.94 determines a person with an elevated temperature.
AbstractList A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately at the control point. To develop the technique, an experimental stand was designed and implemented in a rack with six built-in infrared sensors. To recognize a person with an elevated temperature, an artificial neural network was used in the form of a multilayer perceptron, at the input of which there were IR sensor data. The conducted experiments showed that the trained model based on the F1-metric efficiency of 0.89 to 0.94 determines a person with an elevated temperature.
Abstract A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately at the control point. To develop the technique, an experimental stand was designed and implemented in a rack with six built-in infrared sensors. To recognize a person with an elevated temperature, an artificial neural network was used in the form of a multilayer perceptron, at the input of which there were IR sensor data. The conducted experiments showed that the trained model based on the F1-metric efficiency of 0.89 to 0.94 determines a person with an elevated temperature.
Author Melnikova, A I
Rybakov, A V
Semenov, D N
Kruglov, V I
Kuznezova, A V
Khasanshin, I Ya
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10.5220/0010390912491257
10.2991/aetr-17.2018.59
10.13189/ujer.2020.081065
10.21307/ijssis-2017-910
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Snippet Abstract A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately...
A method of automated control of human temperature in public places is proposed, which allows determining people with elevated temperature immediately at the...
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StartPage 12080
SubjectTerms Artificial neural networks
Automatic control
Body temperature
High temperature
Infrared detectors
Multilayer perceptrons
Physics
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Title Physical and software bases of the device operation for remote measurement of human body temperature
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