Display Color Temperature Adaptation via Remote Model
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Solution Overview
Problem
Conventional display devices lack personalized color temperature adaptation, relying on pre-defined settings that fail to account for individual user preferences and unique ambient lighting conditions, resulting in suboptimal viewing experiences for users.
Innovation Solution
A method and system that collect ambient light sensing data and user preferences to transmit to a remote server, where models are constructed to automatically adjust the display device's color temperature settings, providing personalized and optimized viewing experiences without requiring user expertise or effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-defined color temperature settings are used, then device complexity is reduced, but adaptability to user preferences and ambient conditions deteriorates
Solution Approach 1:
The system automatically collects ambient light sensing data and user preference data, transmits it to a remote server for model construction, and applies the generated model to adjust color temperature settings without requiring user intervention. This self-service approach resolves the contradiction by eliminating the need for complex manual adjustment interfaces while achieving personalized adaptation.
Solution Approach 2:
The system performs preliminary data collection of ambient lighting conditions and user preferences, then uses a remote server to construct predictive models in advance. These pre-established models enable automatic color temperature adjustment based on current conditions, resolving the contradiction between simplicity and adaptability by preparing adjustment strategies beforehand rather than requiring complex real-time decision interfaces.
2Adaptability or versatility
If automatic model-based adjustment is implemented, then adaptability to user preferences improves, but device complexity increases
Solution Approach 1:
The patent introduces a remote server as an intermediary that performs the complex task of model construction and data processing. The display device itself remains relatively simple, only needing to collect data and apply adjustments based on server instructions. This intermediary approach allows sophisticated personalized adaptation without significantly increasing the complexity of the end-user device.
Solution Approach 2:
The patent replaces manual mechanical adjustment interfaces with an automated electronic system that uses sensors, wireless communication, and algorithmic processing. The ambient light sensing device automatically detects conditions, the processor executes model-based calculations, and the display device automatically adjusts color temperature, eliminating the need for manual intervention while achieving personalized adaptation.
3Adaptability or versatility
If manual user adjustment is required, then adaptability to individual preferences improves, but ease of operation deteriorates
Solution Approach 1:
The system automatically collects ambient light sensing data and user preference data, transmits it to a remote server for model construction, and applies the generated model to adjust color temperature settings without requiring user intervention. This self-service approach resolves the contradiction by eliminating the need for complex manual adjustment interfaces while achieving personalized adaptation.
4Manufacturing precision
If personalized adaptation is implemented, then perceived image quality improves, but loss of time for data collection and processing increases
Solution Approach 1:
The system performs preliminary data collection of ambient lighting conditions and user preferences, then uses a remote server to construct predictive models in advance. These pre-established models enable automatic color temperature adjustment based on current conditions, resolving the contradiction between simplicity and adaptability by preparing adjustment strategies beforehand rather than requiring complex real-time decision interfaces.
Solution Approach 2:
The patent introduces a remote server as an intermediary that performs the complex task of model construction and data processing. The display device itself remains relatively simple, only needing to collect data and apply adjustments based on server instructions. This intermediary approach allows sophisticated personalized adaptation without significantly increasing the complexity of the end-user device.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system ensures users achieve the best possible perceived image quality on their display devices by accurately adapting to their preferred color temperature settings based on ambient conditions, eliminating the need for user intervention and expertise.
Implementation Method 1
collecting ambient light sensing (ALS) data indicative of one or more ambient lighting conditions
Data Source
AI summary
One embodiment provides a method comprising collecting ambient light sensing (ALS) data indicative of one or more ambient lighting conditions of a user within proximity of a display device, and collecting user preferences and characteristics (UPC) of the user. The UPC include a user-preferred display correlated color temperature (CCT). The user-preferred display CCT represents a CCT the user prefers for the display device. The method further comprises transmitting to a remote server the ALS data and the UPC, and receiving from the remote server one or more models constructed based in part on some of the ALS data and some of the UPC. The method further comprises automatically adjusting one or more color temperature settings of the display device based on the one or more models.