Screen Light Leakage Detection Neural Network Model
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting light leakage from screens, which interferes with ambient light sensing, leading to inaccurate adjustments in screen brightness and color temperature.
Innovation Solution
A method utilizing a pre-trained neural network model to detect light leakage by processing display parameters such as brightness and grayscale values of pixel points, enabling accurate determination of light leakage values across the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the ambient light sensor is placed below the screen to meet large screen trends, then the screen area is increased, but light leakage from the screen interferes with the sensor's ability to accurately detect ambient light
Solution Approach 1:
The patent extracts the light leakage component from the total light signal detected by the sensor. By separately identifying and removing the screen-emitted light portion from the sensor's detection range or signal processing, the system eliminates the interference caused by light leakage, allowing accurate ambient light detection while maintaining the sensor placement below the screen.
Solution Approach 2:
The patent introduces a light shielding structure or detection mechanism as an intermediary between the screen and the ambient light sensor. This intermediary component blocks or separates the light leakage from reaching the sensor, or provides a reference signal that enables the system to distinguish between ambient light and screen-emitted light, thereby resolving the measurement interference.
2Ease of operation
If the ambient light sensor detects total light including light leakage, then the detection process is simple, but the calculated ambient light intensity is inaccurate
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the light signal from the sensor, compares it with expected ambient light patterns, and identifies deviations caused by screen light leakage. The system then adjusts the detection algorithm or shielding mechanism to compensate for the leakage, maintaining accurate measurements without significantly increasing operational complexity.
Solution Approach 2:
The patent performs preliminary separation or identification of light leakage components before the final ambient light calculation. By pre-processing the sensor signal to isolate and remove the screen-emitted light portion, or by pre-configuring shielding structures, the system simplifies the subsequent ambient light detection while ensuring measurement accuracy.
Data Source
AI summary
The present disclosure provides a method for detecting light leakage of a screen, a method for detecting ambient light, and an apparatus for detecting ambient light. The method for detecting light leakage of a screen includes: acquiring display parameters of a screen, the display parameters including: a brightness value of the screen and grayscale values of respective pixel points within a preset display region of the screen; inputting the display parameters into a pre-trained neural network model, to process the display parameters using the neural network model, to obtain light leakage values corresponding to the respective pixel points; and obtaining a light leakage value of the screen based on the light leakage values corresponding to the respective pixel points. Based on the above technical solutions, the light leakage value of the screen can be accurately and reliably determined.