Adaptive Display Resolution Based on User Viewing Distance
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Solution Overview
Problem
High-resolution media streaming consumes excessive bandwidth and data, leading to unnecessary costs and processor slowdowns, as users often maintain high resolution settings regardless of viewing distance, which may not provide noticeable quality improvements to the human eye.
Innovation Solution
A system and method that detect user presence and location to determine personalized optimal display resolutions, adjusting the streaming quality based on user preferences and viewing conditions, reducing data consumption by lowering resolution when higher quality is not beneficial, and automatically modifying streams to match ideal resolutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution settings are used, then image quality is improved, but data consumption and bandwidth usage increase unnecessarily
Solution Approach 1:
The system dynamically changes the resolution parameter based on viewing distance and user preferences. When a user is seated at a distance where high resolution is not discernible, the system automatically lowers the resolution parameter to reduce data consumption while maintaining perceived quality. This resolves the contradiction by making resolution adaptive rather than static.
Solution Approach 2:
The invention introduces dynamic resolution adjustment based on real-time detection of user presence and viewing conditions. The resolution is no longer fixed but varies according to actual viewing circumstances, allowing the system to optimize between quality and data usage by adapting to changing conditions.
2Measurement precision
If high resolution streaming is maintained, then visual quality is preserved, but processor performance decreases and power consumption increases
Solution Approach 1:
The system adjusts the processing resolution parameter dynamically based on viewing distance detection. When users are far from the display, the processor handles lower resolution data, reducing computational load and power consumption while maintaining sufficient visual quality for the viewing distance.
Solution Approach 2:
The system applies partial action by using only the resolution necessary for the current viewing conditions. Instead of always processing maximum resolution, it processes exactly what is needed, avoiding excessive processing that would burden the processor and increase power consumption unnecessarily.
3Measurement precision
If maximum resolution is used, then image detail is improved, but bandwidth consumption increases significantly
Solution Approach 1:
The system dynamically changes the streaming resolution parameter based on detected viewing distance and user preferences. By lowering the resolution parameter when high detail is not needed due to viewing distance, the system significantly reduces bandwidth consumption while maintaining acceptable image quality.
Solution Approach 2:
The invention makes resolution dynamic rather than static, allowing the system to adapt bandwidth usage to actual viewing conditions. This resolves the contradiction by ensuring high resolution is only used when actually needed, reducing unnecessary bandwidth consumption during normal viewing scenarios.
Data Source
AI summary
Systems and methods for optimizing resolution of an electronic display device are disclosed. A computer program product for optimizing display resolution of an electronic device includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a computing device to cause the computing device to: detect the presence of at least one user; determine an identity of the at least one user; obtain, from a user data storage module, personalized optimal resolution data of the at least one user; and adjust the resolution of the electronic device display based on the personalized optimal resolution data.