An under-display ambient light sensor (ALS) can be employed in devices that have small bezels which cannot accommodate an ALS. However, the lux detected by an under-display ALS can deviate from the true lux levels of the environment because of the impact of the light from the display pixels. This disclosure describes the use of a calibrated machine learning model to obtain the true lux measurement for ambient light by adjusting the value measured by the ALS to compensate for the influence of display light.
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Shin, D, "Machine Learning Driven Under Display Ambient Light Sensor Calibration", Technical Disclosure Commons, (June 13, 2022)