Gaze-Driven Display Power Reduction via Local Quality
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Solution Overview
Problem
Information handling systems face challenges in reducing display power consumption without compromising image quality, especially in mobile devices where battery life is a concern.
Innovation Solution
The system employs a video sub-processor that receives inputs from a context engine and a gaze detector to determine power-reduced portions of the image, adjusting pixel settings such as light intensity and contrast to minimize power usage without affecting image quality, using techniques specific to OLED and LCD technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If display power consumption is reduced by lowering light intensity, then energy efficiency improves, but image quality deteriorates
Solution Approach 1:
The patent applies local quality by adjusting display parameters selectively in different regions based on gaze detection. The display is divided into regions of interest (where the user is looking) and non-regions of interest. In non-interest regions, light intensity is reduced to save power, while in interest regions, full quality is maintained. This resolves the contradiction by making image quality and power consumption region-dependent rather than uniform across the entire display.
Solution Approach 2:
The patent implements dynamic adjustment of display parameters based on real-time gaze tracking. The system continuously monitors user eye movements and dynamically reconfigures which regions receive full power and which are dimmed. This dynamic approach allows the display to adapt to changing user attention patterns, maintaining image quality when needed while reducing power consumption during transitions or in peripheral areas.
2Use of energy by moving object
If gaze detection and context analysis are implemented, then display power optimization improves, but device complexity increases
Solution Approach 1:
The patent employs a video sub-processor that performs multiple functions: it processes video content, detects user gaze through image analysis, determines regions of interest, and controls display parameter adjustment. By consolidating these diverse functions into a single processing unit, the system achieves sophisticated power optimization without proportionally increasing overall device complexity. The video sub-processor leverages existing computational capabilities to perform gaze analysis as a byproduct of video processing.
Solution Approach 2:
The system implements self-service by using the display's own video processing resources to perform gaze detection and region analysis. Rather than requiring separate dedicated hardware for eye tracking, the system repurposes the video sub-processor's computational resources to analyze frames from the display buffer, detect user attention, and automatically adjust power settings. This self-service approach minimizes additional hardware requirements while achieving intelligent power management.
Data Source
AI summary
An information handling system includes a display, a gaze detector that determines a location on the display that corresponding with where a user is looking at the display, and a processor. The processor receives the location from the gaze detector, determines a non-power-reduced portion of the display that includes the location, determines a power-reduced portion of the display that is exclusive of the non-power-reduced portion, receives data associated with a pixel of an image included in the power-reduced portion, changes the data such that a first power level consumed by the display when displaying the pixel with the changed data is less than a second power level consumed by the display when displaying the pixel with the unchanged data, and sends the changed data to the display.