Abstract
Display screens consume high power when the display refresh rate is high or when brightness is set to high levels. This is particularly important for LED-backlit LCD and OLED displays and is also true for emerging technologies such as microLED and miniLED displays. High power consumption by the display also causes faster battery discharge and necessitates a larger, high performance battery. This disclosure describes techniques to optimize display performance while reducing power consumption. Display parameters such as refresh rate, brightness, color temperature, content display size, contrast of content, etc. are automatically adjusted by the use of machine learning models that process information from various sensors and update display parameters. The machine learning models optimize the display performance and reduce battery consumption, e.g., by adjusting the display based on factors such as lighting conditions, the user's distance to the display screen, the content that the user is focusing on etc. Such factors can be measured, with user permission, using smart sensors such as an ambient light sensor, proximity sensor, ranging sensor etc.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wu, Fei; Chen, Eddy; and Marchesin, Stéphane, "Content and Environment Based Display Performance Optimization", Technical Disclosure Commons, (March 08, 2024)
https://www.tdcommons.org/dpubs_series/6760