Dynamic Display Resolution Switching for Power Optimization
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Solution Overview
Problem
Computer devices often consume excessive power due to displays being set to higher resolutions like UHD, even when lower resolution content is being displayed, leading to unnecessary power usage.
Innovation Solution
A computing system with a resolution optimization module that automatically adjusts the display resolution between UHD and FHD based on a similarity analysis of neighboring pixels, using an algorithm to determine the optimal resolution by calculating similarity scores and adjusting the display accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the display resolution is set to higher resolution (UHD), then the display quality is improved, but the power consumption increases
Solution Approach 1:
The display resolution is made dynamic rather than static, automatically adjusting between UHD and FHD based on the complexity of the displayed content. The system continuously monitors content characteristics and switches resolution in real-time, allowing the display to adapt its quality and power consumption to the actual viewing requirements.
Solution Approach 2:
The resolution parameter is changed based on content analysis. When the content is simple (low pixel similarity), the system switches to lower resolution (FHD). When the content is complex (high pixel similarity), the system maintains higher resolution (UHD). This dynamic parameter adjustment resolves the contradiction between display quality and power consumption.
2Use of energy by moving object
If the display resolution is set to lower resolution (FHD), then the power consumption is reduced, but the display quality deteriorates
Solution Approach 1:
The system dynamically adjusts resolution based on content requirements rather than maintaining a fixed low resolution. This ensures that display quality is preserved when needed (complex content) while allowing power savings when possible (simple content).
Solution Approach 2:
The resolution parameter is adjusted upward to UHD when content complexity requires it, ensuring display quality is maintained. The system monitors pixel similarity metrics and switches to higher resolution when the threshold is exceeded, preventing quality deterioration.
3Use of energy by moving object
If the display automatically adjusts resolution based on content analysis, then the power consumption is optimized, but the device complexity increases
Solution Approach 1:
The display system performs self-service by automatically analyzing its own content and making resolution adjustments without external intervention. The content analysis algorithm runs autonomously, monitoring pixel similarity and triggering resolution switches based on predefined thresholds, eliminating the need for manual user configuration.
Solution Approach 2:
The system implements feedback control by continuously monitoring content characteristics (pixel similarity) and adjusting resolution accordingly. The output (resolution setting) feeds back into power consumption, creating a closed-loop system that optimizes energy usage based on actual display requirements.
Data Source
AI summary
A system that can intelligently help a user judge the resolution requirement of the image content. In an example, the display panel can show in different virtual resolutions or the system can automatically judge whether the image content requires high or low resolution using a similarity judgement. The system can then inform the display panel what virtual resolution should be shown or what the optimal resolution is using the similarity judgment and send the image content to the display panel with that resolution.