Digital Variable Resistor Extraction for LCD Flicker Minimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for extracting an optimized common voltage for liquid crystal displays (LCDs) are complex and time-consuming, leading to increased inspection times and reduced productivity, and can result in flicker phenomena due to imbalances in data voltage polarity, degrading image quality.
Innovation Solution
A method and system for extracting an optimized digital variable resistor (DVR) value by varying digitalized common voltage levels, measuring brightness, and calculating linear functions to find the intersection point representing the minimum flicker value, thereby determining the optimized DVR value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to extract optimized common voltage, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent transforms the continuous common voltage optimization problem into a discrete digital variable resistor value optimization problem. By digitalizing the common voltage control parameter and using a standardized set of DVR values, the system achieves precise voltage optimization while reducing measurement time through automated extraction algorithms.
Solution Approach 2:
The patent creates a digital model (DVR value) that represents the physical common voltage parameter. Instead of directly measuring and adjusting continuous voltage levels, the system uses digital variable resistor values as a copy/representation, enabling automated extraction and optimization without complex continuous measurement procedures.
2Manufacturing precision
If conventional extraction methods are used, then manufacturing precision is improved, but productivity worsens
Solution Approach 1:
The system implements automated self-service extraction of optimized DVR values through the processor that automatically analyzes brightness values, calculates flicker values, and determines optimal values without manual intervention. This automation maintains precision while dramatically improving manufacturing throughput.
Solution Approach 2:
The patent replaces complex manual measurement and adjustment mechanisms with an automated electronic system using photometer measurements, digital processing, and algorithmic optimization. This substitution eliminates time-consuming manual operations while maintaining or improving optimization precision.
3Reliability
If data voltage polarity is changed to prevent liquid crystal degradation, then reliability is improved, but flicker phenomenon occurs due to common voltage imbalance
Solution Approach 1:
The system uses flicker value measurements as feedback to optimize the common voltage (DVR value). By measuring brightness variations and calculating flicker values, the system identifies the optimal common voltage setting that minimizes flicker while maintaining polarity switching for liquid crystal protection, creating a closed-loop optimization system.
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 significantly reduces the time to extract the optimized DVR value, improving productivity and image quality by minimizing flicker phenomena through precise voltage level adjustments.
Implementation Method 1
Liquid crystal molecules contained in the liquid crystal layer are aligned according to the electric field in each pixel. As a result, the LCD adjusts light transmittance of the liquid crystal layer in each pixel, thereby displaying images.
Implementation Method 2
measuring brightness values of a screen of the display panel
Data Source
AI summary
A method of extracting an optimized digital variable resistor (“DVR”) value of a display panel, the method including varying a DVR value, corresponding to a common voltage, and applying the varied DVR values to the display panel, measuring brightness values of the display panel for at least two frames, extracting flicker values corresponding to the varied DVR values using the brightness values, and extracting an optimized DVR value by generating first to third coordinate values in which coordinate values have x-coordinate values and y-coordinate values representing DVR values and flicker values, respectively, calculating a first linear function of a first straight line connecting two of the coordinate values, and a second linear function of a second straight line using the first linear function and the other of the coordinate values, and extracting an x-coordinate value at an intersection point of the first and second lines, as the optimized DVR value.


