Adaptive Color Converting Matrix for Ambient Light Sensors
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Solution Overview
Problem
Electronic devices struggle to accurately adjust display color to match ambient lighting conditions, leading to unpleasant color casts when moving between different lighting environments, such as from outdoors to indoors with incandescent lighting.
Innovation Solution
A color sensing ambient light sensor with an array of light detectors on a semiconductor substrate, including infrared detection, is used to measure ambient light color, and control circuitry converts sensor output signals from a device-dependent color space to a device-independent space using a dynamically determined color converting matrix based on training data weighted by the distance to the target light source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed color converting matrix is used to convert sensor output signals, then the device complexity is reduced, but the color accuracy under varying ambient lighting conditions deteriorates
Solution Approach 1:
The patent applies dynamics by transforming the fixed color converting matrix into a dynamic, adaptive system. The color converting matrix is no longer static but adapts in real-time based on ambient lighting conditions. The system continuously adjusts the matrix parameters according to the detected ambient light color temperature and characteristics, enabling accurate color measurement across varying lighting environments while maintaining manageable device complexity through automated adaptation.
Solution Approach 2:
The patent implements parameter changes by modifying the color converting matrix parameters based on ambient lighting conditions. The system changes the matrix parameters dynamically according to the detected ambient light color temperature, allowing the conversion process to adapt to different lighting scenarios. This parameter adaptation enables accurate color measurement under diverse lighting conditions without requiring a completely different system architecture.
2Adaptability or versatility
If training data from multiple light sources is used to determine the color converting matrix, then the adaptability to different lighting conditions is improved, but the loss of information increases due to conflicting training data
Solution Approach 1:
The patent applies local quality by assigning different weights to training data from different light sources based on their relevance to current ambient conditions. Instead of treating all training data equally, the system gives higher weight to training data from light sources with similar color temperatures and characteristics to the current ambient light. This weighted approach reduces information loss by prioritizing relevant training data while still considering multiple light source characteristics for comprehensive adaptability.
Solution Approach 2:
The patent implements feedback by continuously monitoring ambient lighting conditions and adjusting the color converting matrix accordingly. The system uses feedback from the ambient light sensor to determine which training data should be weighted more heavily, creating a closed-loop system that adapts to changing lighting conditions. This feedback mechanism resolves conflicts in training data by dynamically selecting the most appropriate training data based on real-time environmental conditions.
3Measurement precision
If the sensor array includes multiple detectors with different spectral sensitivities, then the color measurement capability is improved, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent applies universality by designing a sensor array where multiple detectors with different spectral sensitivities work together as an integrated system. Each detector type serves multiple purposes: individual detectors measure specific wavelength ranges, while combinations of detectors provide comprehensive color information. This multi-functional approach enables accurate color measurement across various lighting conditions using a unified sensor array design, simplifying the overall manufacturing process compared to requiring separate specialized sensors for different measurement scenarios.
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 solution allows for accurate color adjustment of displays in electronic devices, ensuring consistent image presentation across varying lighting conditions by adaptively converting sensor data to a device-independent color space, reducing color cast issues.
Implementation Method 1
The color sensing ambient light sensor may be formed from an array of light detectors on a semiconductor substrate
Data Source
AI summary
An electronic device may be provided with a display mounted in a housing. A color sensing ambient light sensor may measure the color of ambient light. The color sensing ambient light sensor may produce sensor output signals in a device-dependent color space. Control circuitry in the electronic device may convert the sensor output signals from the device-dependent color space to a device-independent color space using a color converting matrix. The color converting matrix may be determined using stored training data. The training data may include color data for different training light sources. The training data may be weighted to selectively control the influence of the training data on the color converting matrix. The training data may be weighted based on a distance between the training color data and a target color in the detected ambient light.