Display Module Color Calibration Using Camera Feedback
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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 in the manufacturing stage or user operation during use.
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 target and reference color values, and adjust color coefficients until uniform brightness is achieved across modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of color coefficients is used during manufacturing or user operation, then the display device can be calibrated, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical adjustment of color coefficients 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 while maintaining calibration accuracy.
Solution Approach 2:
The display device performs self-calibration by capturing its own display output through an integrated camera and automatically processing the images to adjust color coefficients. The system uses its own resources (camera, processor) to perform calibration without external manual intervention, making the process autonomous and efficient.
2Measurement precision
If manual adjustment of color coefficients is used, then calibration can be performed, but the adjustment accuracy is insufficient
Solution Approach 1:
The patent replaces manual mechanical adjustment of color coefficients 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 while maintaining calibration accuracy.
3Productivity
If automated image processing is used for calibration, then labor and time are reduced, but the device complexity increases
Solution Approach 1:
The camera module serves multiple functions: it captures images for calibration, displays test patterns, and provides feedback for color analysis. By making the camera multi-functional, the system achieves automated calibration without adding separate dedicated components, thus limiting the increase in device complexity.
Solution Approach 2:
The display device performs self-calibration by capturing its own display output through an integrated camera and automatically processing the images to adjust color coefficients. The system uses its own resources (camera, processor) to perform calibration without external manual intervention, making the process autonomous and efficient.
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
Automated calibration ensures consistent and accurate color values across display modules, reducing labor and time while improving brightness uniformity.
Implementation Method 1
The first processor obtains a first image of a part of the plurality of display modules through the camera
Data Source
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.


