Ambient Light Classifier Using Color Channel Ratios
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Solution Overview
Problem
Existing electronic devices struggle to accurately classify ambient light sources, which affects the operation of displays and image capture systems, leading to issues like eye strain and incorrect white balance.
Innovation Solution
The implementation of an ambient color sensing system using a light detecting sensor that outputs multiple color channels in a predefined color space, allowing for the determination of light source ratios and classification based on color temperature, enabling adjustments to display and sensor operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a light detecting sensor with multiple color channels is used to classify light sources, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the light detection task into multiple independent color channels (e.g., red, green, blue, yellow, cyan, magenta channels) that can be processed separately. Each channel detects specific wavelength ranges independently, allowing the system to achieve high measurement precision through multi-channel data while maintaining manageable device complexity by processing each segment independently rather than as a unified complex system.
Solution Approach 2:
The patent transitions from single-dimensional light intensity detection to multi-dimensional color space analysis by incorporating multiple color channels that operate in different spectral dimensions. This dimensional expansion enables precise light source classification by analyzing the ambient light spectrum across multiple color dimensions simultaneously, resolving the contradiction between measurement precision and device complexity.
2Reliability
If multiple color channels are processed to determine light source ratios, then calculation complexity increases, but reliability of classification improves
Solution Approach 1:
The patent transforms the complex multi-channel light analysis problem into a more manageable form by calculating ratios of color channel measurements (e.g., yellow/cyan ratio, magenta/green ratio). This parameter transformation converts raw multi-dimensional sensor data into simplified ratio metrics that directly correlate with specific light source types, improving classification reliability while reducing processing complexity through mathematical simplification.
Solution Approach 2:
The patent introduces ratio calculations as intermediary variables between raw sensor measurements and final light source classification. These ratio metrics serve as intermediate representations that bridge the gap between complex multi-channel data and simplified classification decisions, making the processing pipeline more reliable and easier to manage by decoupling the complexity of multi-channel input from the classification output.
3Adaptability or versatility
If display color characteristics are dynamically adjusted based on light source classification, then adaptability improves, but energy consumption increases
Solution Approach 1:
The patent implements periodic light source detection and display adjustment rather than continuous operation. The system periodically samples ambient light conditions, classifies the light source, and adjusts display characteristics at scheduled intervals. This periodic approach maintains high adaptability by regularly updating display settings while significantly reducing energy consumption compared to continuous real-time adjustment, resolving the contradiction between adaptability and energy usage.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides accurate and cost-effective classification of ambient light sources, improving display color characteristics and image capture quality by dynamically adjusting to different light conditions, reducing eye strain and enhancing user experience.
Implementation Method 1
a light detecting sensor configured to output multiple color channels in a predefined color space. The light detecting sensor in the electronic device senses ambient light and outputs measurements in visible color channels
Data Source
AI summary
One or more display color characteristics of an electronic device are managed using a light detecting sensor configured to output multiple color channels in a predefined color space. The light detecting sensor in the electronic device senses ambient light and outputs measurements in visible color channels of the predefined color space to characterize the sensed ambient light. A ratio of one or more measurements of one of the visible color channels to one or more measurements of another of the visible color channels is determined. At least one light source generating at least a portion of the sensed ambient light is classified based at least in part on the determined ratio, wherein the determined ratio indicates a color temperature component of the sensed ambient light. The one or more display color characteristics of the electronic device are adjusted based at least in part on the classifying operation.