2023 journal article
Low-cost Calibration Method for the Infrared Camera
Applied Engineering in Agriculture, 39(5), 529–534.
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
Source: Crossref
Added: October 20, 2024
Highlights Simple, low-cost infrared camera calibration method proposed. Calibration equation can improve accuracy for a narrower range of surface temperature. Infrared camera moderately sensitive to both emissivity and reflected air temperature. Abstract. Infrared (IR) or thermal cameras are being increasingly used in livestock research and management. An IR camera’s accuracy is specified over its entire surface temperature measurement range, whereas in livestock research and management, a narrower range suffices. A camera’s accuracy could be higher in a narrower range of temperatures. Hence, a novel low-cost method was used to calculate the FLIR E8 camera’s accuracy in a range of 24°C to 37°C, representative of surface temperature of poultry birds. Sensitivity analyses were also performed to evaluate the impact of three user specified parameters, namely, emissivity (e), distance between camera and surface (d), and reflected air temperature (tair). A linear regression model was used to correct the camera’s absolute error of 2.8°C (greater than its published error). However, the camera possessed precision and hence, repeatability. The IR camera was moderately sensitive to e, and slightly sensitive to tair and d, but its error could increase with the difference between the measured and assumed tair values. Attention is required to accurately characterize e and tair. This simple calibration method can reduce cost and could improve accuracy in a narrower temperature range than the IR camera’s published range, which could be useful for applied research. Keywords: Absolute error, Accuracy, Emissivity, Heat stress, IR, Precision, Reflected air temperature, Sensitivity analysis.