Thermal data correction algorithm for electrical components using infrared camera

In this paper, we consider the temperature variations of electric components working in the board. By observing the temperature variations of electric components, we can decide whether the components on the board work well or not. The temperature of the object surface can be measured by infrared cameras. However, the environmental air temperature can have an influence on the temperature of the object surface. In this paper, the data correction algorithm is suggested when the environmental air temperature varies. To correct the infrared data in this paper, the initial temperature or the initial infrared image data is used so that the target source system may not be necessary. The temperature data obtained from infrared detector show nonlinear property depending on the surface temperature. In order to handle this nonlinear property, Taylor series approach is adopted. It is shown that the proposed algorithm can reduce the influence of environmental temperature on the components in the board. The main advantage of this algorithm is only to use the initial temperature of the components on the board rather than using thermal electric coolers as reference temperature