Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shin, D, "Machine Learning Driven Under Display Ambient Light Sensor Calibration", Technical Disclosure Commons, (June 13, 2022)
https://www.tdcommons.org/dpubs_series/5201