Abstract
In general, the algorithm for in‐cell ambient light and color temperature sensor was optimized by the golden modules. However, there are differences between the modules. This implies that if we do not normalize the data from modules, there will inevitably be a significant error. To this end, three calibration data methods for in‐cell integrated ambient light and color temperature sensor data are proposed. With these methods, the illuminance error rate can be reduced to less than 6% and the color temperature absolute error can be reduced to less than 150.
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