Multi-Display Server Tuning for Ambient-Adaptive Image Quality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing display devices struggle to capture the diverse actual use environments of users, as pre-set image quality settings may not accurately reflect individual user preferences, especially in varying lighting conditions.
Innovation Solution
A server system that senses lighting information of the surrounding environment, collects data on image quality setting methods from multiple users, and identifies an optimal image quality setting value to adjust the display device's image quality accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-set image quality settings are used, then device complexity is reduced, but adaptability to individual user preferences and environments deteriorates
Solution Approach 1:
The system automatically collects image quality setting data from multiple display devices, analyzes user preferences and environmental conditions, and generates optimal settings without requiring manual user input. The server performs self-service by autonomously identifying patterns and transmitting optimized settings back to devices.
Solution Approach 2:
The system establishes a feedback loop where image quality setting data from multiple devices is continuously collected, analyzed, and used to generate improved settings. The server receives setting data, identifies optimal configurations based on aggregated feedback, and transmits refined settings back to devices for implementation.
2Ease of operation
If automatic image quality setting based on pre-set values is implemented, then ease of operation is improved, but measurement precision of actual use environments deteriorates
Solution Approach 1:
The system merges data from multiple display devices to compensate for individual sensor limitations. By aggregating environmental sensing data and image quality setting data from numerous devices, the server creates a more precise understanding of actual use environments than any single device could achieve alone.
Solution Approach 2:
The server performs multiple functions: collecting environmental data, analyzing user preferences, identifying patterns, and generating optimized settings. This multi-functional approach allows the system to achieve both ease of operation through automation and high measurement precision through data aggregation.
3Adaptability or versatility
If individual user image quality preferences are captured, then adaptability to user preferences is improved, but device complexity increases
Solution Approach 1:
The server acts as an intermediary that handles the complex tasks of data collection, analysis, and optimization. Individual display devices simply transmit their setting data and receive optimized settings, while the server performs the computationally intensive work of aggregating data, identifying user preferences, and generating optimal configurations.
Data Source
AI summary
A server includes: a communication interface; and at least one processor configured to: receive, from a plurality of display devices, image quality setting values of each display device, sensing values of a surrounding environment obtained from each display device, and information on an image quality mode of each display device, identify, based on the received image quality setting values and the sensing values, an optimal image quality setting value for each sensing value, identify, based on the received information on the image quality mode, a display device in which the image quality mode is set in a pre-set mode from among the plurality of display devices, and transmit, to the identified display device and based on the optimal image quality setting value for each sensing value, an optimal image quality setting value corresponding to sensing values of the surrounding environment sensed by the identified display device.