A Smartphone-Based Sensor With an Uncooled Infrared Thermal Camera for Accurate Temperature Measurement of Pig Groups
文献类型: 外文期刊
作者: Jiao, Fu 1 ; Wang, Kun 3 ; Shuang, Feng 1 ; Dong, Daming 2 ; Jiao, Leizi 2 ;
作者机构: 1.Guangxi Univ, Guangxi Key Lab Intelligent Control & Maintenance, Nanning, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Natl Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China
3.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
关键词: uncooled infrared thermal camera; temperature measurement accuracy; internal calibration; altering spectrum; rapid diagnosis of pig disease
期刊名称:FRONTIERS IN PHYSICS ( 2021影响因子:3.718; 五年影响因子:3.623 )
ISSN: 2296-424X
年卷期: 2022 年 10 卷
收录情况: SCI
摘要: Low-cost uncooled infrared thermal cameras show a large application potential for the rapid diagnosis of pig diseases. However, with the increase in ambient temperature and absorbing infrared radiation, almost all of them produce severe thermal drift and provide poor accuracy of temperature measurement. In addition, the unknown surface emissivity on a pig's body can also bring measuring errors. In this article, an uncooled infrared thermal camera with an accuracy of 3 degrees C was used to develop a smartphone-based sensor for measuring the pig's temperature. Based on this sensor, we proposed a system combined with internal calibration for real-time compensation of the thermal drift and altering spectrum for eliminating the influence of unknown surface emissivity to improve the accuracy of temperature measurement. After calibration, the accuracy of this sensor was improved from 3 to 0.3 degrees C without knowing the emissivity. We used this sensor to successfully identify pigs with abnormal temperatures on a livestock farm, which indicated that our proposed methods may be widely employed for rapid temperature screening and diagnosis of pig diseases.
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