Ambient Light Sensor Monochromatic Channel Illuminance Detection
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Solution Overview
Problem
Existing ambient light sensors require a high computing workload to accurately measure illuminance levels, leading to increased power consumption and production costs, while also suffering from interference between multiple filtering channels.
Innovation Solution
A method and apparatus that filter ambient light using a monochromatic channel to match the quantum efficiency curve with the spectral luminous efficiency curve, allowing for photoelectric detection with a reduced computing workload and minimizing channel interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple filtering channels are used to collect light in different wavebands, then the illuminance level measurement accuracy is improved, but the computing workload increases significantly
Solution Approach 1:
The patent extracts only the green waveband component from the ambient light using a monochromatic green filtering channel, rather than processing multiple wavebands. This extraction approach maintains measurement accuracy for illuminance (which is primarily determined by the green-sensitive region of the luminous efficiency curve) while eliminating the need for complex multi-channel convolution computations.
Solution Approach 2:
The patent changes the spectral parameter by using a monochromatic green filter with a specific transmission curve that matches the spectral luminous efficiency curve. This parameter change allows the system to achieve accurate illuminance measurement through a single channel with reduced computing requirements, as the filtered light's quantum efficiency curve naturally aligns with the luminous efficiency curve.
2Measurement precision
If multiple filtering channels are used to collect light in different wavebands, then the illuminance level measurement accuracy is improved, but the chip size and production cost increase
Solution Approach 1:
The patent extracts only the essential green waveband information needed for illuminance measurement, eliminating the need for multiple filtering channels. This reduces the chip area required for the ambient light sensor while maintaining measurement accuracy, as the monochromatic green channel provides sufficient information for computing illuminance levels.
Solution Approach 2:
The monochromatic green filtering channel serves multiple functions: it filters ambient light, its transmission curve matches the spectral luminous efficiency curve, and it enables accurate illuminance measurement without requiring additional channels for color decomposition or other waveband analysis, thereby reducing overall chip size.
3Adaptability or versatility
If multiple filtering channels are used, then the spectral coverage is improved, but the channel interference increases
Solution Approach 1:
The patent extracts only the green waveband component that is most relevant for illuminance measurement, removing the source of inter-channel interference. By using a single monochromatic green filtering channel, the system eliminates the spectral overlap and crosstalk problems that occur when multiple filtering channels are used in close proximity on the chip.
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 enables efficient and accurate ambient light illuminance detection with a smaller computing workload and reduced chip size, lowering production costs and improving power efficiency.
Implementation Method 1
performing photoelectric detection on the filtered light to obtain an illuminance level of the ambient light
Data Source
AI summary
Embodiments of the present disclosure provide methods and apparatuses for detecting an ambient light illuminance and for computing a correction coefficient, and an electronic device. The method for detecting an ambient light illuminance includes: filtering ambient light based on a monochromatic channel, such that a quantum efficiency curve of the filtered light matches a spectral luminous efficiency curve; and performing photoelectric detection on the filtered light to obtain an illuminance level of the ambient light. In solutions of the embodiments of the present disclosure, the photoelectric detection may be equivalent to obtaining an illuminance level of light by convolutional computation based on a spectral luminous efficiency curve, and therefore, when the quantum efficiency curve for a monochromatic waveband obtained by filtering ambient light based on a monochromatic channel matches the spectral luminous efficiency curve, a reliable spectral luminous efficiency curve can be obtained with a small computing workload.