Proceedings PaperDynamic tool to estimate the measurement error in radiometric IR cameras
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In various applications of Infrared (IR) Thermography there is need for measuring true surface temperatures. Modern radiometric IR cameras are equipped with sophisticated tools like internal temperature sensors or internal temperature references to provide stabilized temperature read-outs and can guarantee a specified accuracy. But these manufacturer's accuracy specifications are only valid for known objects and under controlled laboratory conditions. In field use there are external effects such as unknown object emissivity, reflections or absorption that can be compensated by means of mathematical models. These factors usually have a significant influence on the results thus making it difficult for the user to estimate the real accuracy of the measurement. This paper introduces a computer tool where the thermographic measurement situation has been implemented in an MS Excel spreadsheet file. The user can vary the measurement parameters in the spreadsheet very easily using graphic controls called sliders. In a mixed numeric and graphical presentation the user can get a feel for the influence of a certain parameter in a specific situation and the model provides a good estimate of the measurement accuracy under realistic conditions.