Camera-Based Display Module Calibration for Uniform Brightness
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Solution Overview
Problem
Traditional display device calibration methods are labor-intensive, time-consuming, and inaccurate due to manual adjustment of color coefficients.
Innovation Solution
A display device calibration system and method using an electronic device with a camera and processor to analyze images of display modules, determine color values, and adjust them until uniform brightness is achieved through automated correction signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual adjustment of color coefficients is used, then the display device can be calibrated, but the process is labor-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical adjustment with an automated image processing system. A camera captures images of the display, and software algorithms automatically analyze the images to determine color values and generate correction signals, eliminating the need for manual intervention in the calibration process.
Solution Approach 2:
The display device performs self-calibration by automatically capturing its own display output through a camera, analyzing the captured images to determine color coefficients, and adjusting its own color values without requiring external manual intervention or specialized calibration equipment.
2Measurement precision
If manual adjustment of color coefficients is used, then the display device can be calibrated, but the adjustment is inaccurate
Solution Approach 1:
The system implements a feedback loop where the camera captures the actual display output, the software analyzes the captured images to determine color values, and correction signals are generated based on the analysis results. This closed-loop feedback ensures accurate color calibration by continuously monitoring and adjusting the display output.
Solution Approach 2:
The patent uses digital copying of the display output through camera imaging instead of physical measurement tools. The software creates a digital representation of the display's color output and processes this copy to determine accurate color coefficients, enabling precise measurement without physical contact or manual intervention.
3Productivity
If automated image analysis is used for calibration, then efficiency is improved, but the system complexity increases
Solution Approach 1:
The software system performs multiple functions using a single integrated approach: it captures images through the camera, processes the images to extract color information, calculates color coefficients, generates correction signals, and controls the display adjustment. This multi-functional integration improves efficiency while managing system complexity through unified software control.
Data Source
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AI summary
A display device calibration system, a display device calibration method and a storage medium are provided. The system includes an electronic device and a display device. The electronic device includes a first processor and a camera. The display device includes a second processor and a plurality of display modules. The first processor obtains a first image of a part of the display modules and analyzes the first image to determine a target single color value and a reference single color value. The first processor obtains an estimated value according to the target single color value and the reference single color value and determines whether the estimated value is within a predetermined range. The first processor provides a correction signal to the display device when the estimated value is not within the predetermined range, and adjusts the target single color value until the estimated value is within the predetermined range.