Ambient Light Sensor Calibration for Display Light Leakage
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Solution Overview
Problem
Ambient light sensors in mobile devices face detection accuracy issues due to light leakage from self-luminous display screens, which existing methods attempt to address by capturing real-time display content, leading to high system load and privacy concerns.
Innovation Solution
A method that collects light sensing values when the display screen is on and off, calculates a light sensing value drop depth, and uses calibration coefficients to isolate and subtract screen light leakage, thereby accurately determining the ambient light sensing value without capturing display content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time display content capturing is used to compensate for screen light leakage, then ambient light detection accuracy is improved, but system load and power consumption increase
Solution Approach 1:
The patent performs screen light leakage calibration in advance when the device is powered off or in a known state, storing the calibration data for later use. This preliminary action eliminates the need for continuous real-time capturing during normal operation, significantly reducing power consumption while maintaining detection accuracy
Solution Approach 2:
Instead of continuously capturing and processing actual display content in real-time, the patent creates a calibrated model or lookup table of screen light leakage characteristics during calibration phase. This copy or model is then used to compensate for light leakage during ambient light detection without requiring continuous access to actual display content, reducing system load and power consumption
2Measurement precision
If real-time display content capturing is used to compensate for screen light leakage, then ambient light detection accuracy is improved, but device complexity increases
Solution Approach 1:
The calibration process is performed in advance to pre-determine screen light leakage characteristics, storing results in a simple lookup table or calibration data structure. This eliminates the need for complex real-time processing systems, reducing device complexity while maintaining accuracy
Solution Approach 2:
The patent extracts and separates the screen light leakage component from the ambient light detection process through preliminary calibration. By isolating the light leakage characteristic into a separate calibration model, the main detection algorithm becomes simpler and does not require complex real-time analysis of display content
3Speed
If display screen is kept on for continuous ambient light detection, then real-time detection is improved, but light leakage influence increases
Solution Approach 1:
The patent employs periodic pulsing of the display screen during calibration to distinguish between screen light leakage and actual ambient light. By periodically turning the screen on and off and comparing sensor readings, the system can separate the light leakage component from ambient light, improving measurement precision while maintaining detection capability
Solution Approach 2:
Screen light leakage calibration is performed in advance when the display state is known and controlled, creating a reference model that can be applied during real-time detection. This preliminary calibration eliminates the need to keep the screen continuously on during normal operation, reducing light leakage influence while maintaining fast response through quick lookup of calibration data
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 effectively reduces the influence of light leakage on ambient light detection, improving accuracy while reducing system load and power consumption, and protecting user privacy.
Implementation Method 1
an ambient light sensor... configured to detect intensity of ambient light
Data Source
AI summary
Embodiments of the present disclosure disclose a method for detecting ambient light sensing value, an electronic device and a storage medium. The method includes: collecting a light sensing value when a display screen is in an on state, to obtain a first light sensing value; collecting a light sensing value when the display screen is in an off state, to obtain a second light sensing value; calculating a difference between the first light sensing value and the second light sensing value, to obtain a light sensing value drop depth; acquiring a first calibration coefficient or a second calibration coefficient; calculating the ambient light sensing value based on the first light sensing value, the light sensing value drop depth and the first calibration coefficient; or calculating the ambient light sensing value based on the second light sensing value, the light sensing value drop depth and the second calibration coefficient.