BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN· 2021Q4
OPTIMASI PEMBACAAN SUHU KAMERA TERMAL MENGGUNAKAN REGRESI LINIER
- 3citations
- Q4SCImago
- 2021year
Short summary
Linear regression reduced thermal camera temperature reading errors by up to 6.44% at readings of 36-38°C.
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Key points
- Linear regression was used to correct temperature readings from low-resolution thermal cameras.
- Error reduction was observed to be 5.27% at 36°C and 37°C.
- A higher error reduction of 6.44% was achieved at 38°C.
- The study validates linear regression as a method to decrease thermal camera temperature reading errors.
AI-generated from the title and abstract; the full text is not read.
Abstract
Fever is one of the symptoms of a person with Covid-19. Body temperature must be checked e before entering crowded areas such as schools, offices, shops, and hospitals. It is a mandatory protocol that must be done. One of the tools that can be used to check body temperature is a thermal camera. Thermal cameras have the disadvantage of a high temperature reading error. This is because the thermal camera used has a low resolution. This study aims to reduce the value of the temperature reading error on the thermal camera using the linear regression method. The linear regression method is able to reduce the error rate of temperature readings by 5.27% at 36 ° C reading. The reduction in reading error also occurred by 5.27% at 37 ° C and 6.44% at 38 ° C. Based on the results obtained, this study shows that linear regression can be applied to thermal cameras and provides a decrease in the error rate of temperature readings on thermal cameras
The authors' abstract, as published at the source. BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN, 2021 · DOI ↗
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Field: Radiology, Nuclear Medicine and Imaging
Radiology, Nuclear Medicine and ImagingMedicine