Screen Brightness Adjustment via Application and Ambient Detection
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Solution Overview
Problem
Current computing devices lack an efficient method to dynamically adjust screen brightness based on various conditions such as usage, proximity of LED devices, and ambient light, which can affect user experience and battery life.
Innovation Solution
A system that automatically changes screen brightness by utilizing a set of predefined brightness values associated with specific conditions, including application types, LED device proximity, and ambient light, through a combination of engines and cameras to determine and adjust the screen brightness accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If screen brightness is manually adjusted or changed based on simple predetermined conditions, then ease of operation is improved, but adaptability to various usage conditions deteriorates
Solution Approach 1:
The system automatically detects usage conditions (application type, LED proximity, ambient light) and adjusts screen brightness without requiring manual user input. The computing device serves itself by monitoring its own state and environment, eliminating the need for users to manually adjust brightness while adapting to various usage scenarios.
Solution Approach 2:
The system continuously monitors multiple parameters (application type, LED device proximity via camera, ambient light via light sensor) and uses this feedback to dynamically adjust screen brightness. This closed-loop feedback mechanism enables the system to adapt to changing conditions in real-time, improving both adaptability and user experience.
2Illumination intensity
If screen brightness is increased for better visibility, then illumination intensity is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts screen brightness based on real-time detection of usage conditions rather than maintaining a fixed brightness level. When LED devices are detected in proximity or specific applications are running, the system automatically reduces brightness to conserve energy. This dynamic adaptation allows the system to optimize the balance between visibility and energy consumption according to actual usage scenarios.
Solution Approach 2:
The system changes the brightness parameter based on detected conditions such as application type, presence of LED devices, and ambient light levels. By adjusting this key parameter dynamically, the system achieves better visibility when needed while reducing energy consumption during conditions where lower brightness is sufficient or appropriate.
3Adaptability or versatility
If multiple conditions are monitored for brightness adjustment, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system uses a camera for multiple purposes: detecting LED devices in proximity and determining application types based on visual cues. The light sensor serves dual functions by measuring ambient light levels and contributing to overall usage condition assessment. This multi-functionality approach allows comprehensive condition monitoring without proportionally increasing hardware complexity.
Solution Approach 2:
The system combines multiple detection methods (camera-based LED detection, light sensor measurements, application type recognition) into a unified brightness control mechanism. By merging these different sensing approaches and processing them through a single control algorithm, the system achieves high adaptability while managing complexity through integration rather than separate independent systems.
Data Source
AI summary
Examples relate to changing screen brightness of a computing device. One example enables determination of whether the computing device is being used for one of a set of predetermined application types. The screen brightness of the computing device may be changed based on a set of first brightness values associated with the first predetermined application type responsive to the computing device being used for a first predetermined application type and based on a set of second brightness values associated with the second predetermined application type responsive to the computing device being used for a second predetermined application type.