Display Brightness Control Using User Presence Correlation
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Solution Overview
Problem
Existing display panels in electronic devices consume significant power even when the user is not actively engaging with the screen, leading to inefficient power usage due to inaccurate detection of user presence and inactivity, with current solutions relying on image sensors that introduce errors in determining user engagement.
Innovation Solution
A system that uses a combination of user input detection sensors, ambient light sensors, and machine learning algorithms to accurately determine user presence and engagement, adjusting display characteristics such as backlight brightness based on user presence and orientation within defined fields of view to reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the backlight and panel electronics operate continuously to maintain display readiness, then the user experience is preserved, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts display characteristics (brightness, refresh rate, resolution) based on real-time user presence detection. When a user is detected, the display operates at full performance; when no user is present, the system transitions to lower power states, making the power consumption adaptive rather than static
Solution Approach 2:
The system uses sensors (ambient light sensors, proximity sensors, camera-based eye tracking) to continuously monitor user presence and provides feedback to the display controller. This closed-loop feedback mechanism allows the system to automatically adjust power consumption based on actual usage conditions without user intervention
2Extent of automation
If image sensors are used to detect user presence, then automation is improved, but measurement precision deteriorates due to errors in determining user engagement
Solution Approach 1:
The system merges multiple detection methods (ambient light sensing, proximity detection, camera-based eye tracking, touchscreen interaction monitoring) into a unified user presence determination system. By combining multiple sensors and data sources, the system achieves higher measurement precision than any single sensor could provide alone
Solution Approach 2:
The system introduces machine learning algorithms as an intermediary layer that processes raw sensor data and interprets user engagement states. These algorithms act as mediators between the physical sensors and the display control system, improving accuracy by learning from patterns in sensor data and distinguishing between genuine user absence and temporary distractions
3Use of energy by moving object
If the display brightness is reduced to save power, then energy consumption decreases, but the illumination intensity deteriorates affecting user experience
Solution Approach 1:
The system dynamically adjusts brightness levels based on real-time user presence detection. When users are detected, the display operates at full brightness; when no users are present, the brightness is reduced or the display turns off completely. This dynamic adjustment ensures optimal brightness is maintained during actual use while minimizing power consumption during idle periods
Solution Approach 2:
The system changes multiple display parameters simultaneously (brightness, refresh rate, resolution, backlight intensity) based on user presence state. By adjusting multiple parameters together rather than just brightness, the system achieves greater power savings while maintaining perceived display quality when in use
4Reliability
If the display operates at full performance continuously, then the display quality is maintained, but power consumption increases
Solution Approach 1:
The system applies partial performance operation by reducing display parameters (refresh rate, resolution, brightness) below maximum levels during periods of no user presence. This partial action is sufficient to maintain display readiness and quality when needed while significantly reducing power consumption during idle periods
Solution Approach 2:
The system uses periodic sensor checks to detect user presence and alternates between high-performance and low-power states accordingly. This periodic monitoring and state switching allows the display to maintain quality during actual use while minimizing power consumption during idle intervals between user interactions
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture for applying selective adjustment of displays are disclosed herein. An example apparatus to control an operating characteristic such as a brightness of a display of an electronic device includes a face analyzer to identify a presence of a face of a user relative to the device based on image data generated by an image sensor of the electronic device, and a correlation analyzer to determine a correlation of the detected presence and a first device interaction event. In response to the correlation, the correlation analyzer is to apply a display brightness adjustment rule to selectively adjust the brightness of the display from a first setting to a second setting after a first time interval.