Color Wheel Automatic Adjustment via Pixel Proportion Feedback

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Solution Overview

Problem

Existing digital light projection projectors face challenges in accurately adjusting the color wheel due to human error, especially when the number of vertical lines in the image is small or their duration is short, leading to inaccurate color alignment and display issues.

Innovation Solution

An automatic adjustment method for the color wheel that collects frame images, determines the proportion of normal pixels, calculates a target correction value for the color wheel's coordination parameters, and adjusts these parameters to ensure a high proportion of normal pixels in the projected image, thereby eliminating vertical lines.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual adjustment method is used for color wheel, then operation simplicity is maintained, but adjustment precision deteriorates due to human error

Engineering Contradiction:
Improveadjustment precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs self-adjustment by automatically detecting vertical lines in the projected image and calculating correction values for the color wheel coordination parameters, eliminating the need for manual adjustment while improving precision

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system captures the projected image, detects vertical lines, and uses this feedback to automatically calculate and apply correction values to the color wheel coordination parameters, creating a closed-loop control system that improves adjustment precision

Inventive Principle:
Principle #23Feedback

2Reliability

If manual adjustment is performed, then device complexity is low, but reliability deteriorates when vertical lines are few or short

Engineering Contradiction:
Improveadjustment reliabilityVSAvoidadjustment system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical adjustment with an automated digital image processing system that detects vertical lines and calculates correction parameters, improving reliability by eliminating human error and consistent performance across different line conditions

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system automatically detects vertical lines in the projected image and self-adjusts the color wheel coordination parameters without human intervention, ensuring consistent and reliable adjustment regardless of the number or length of vertical lines

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10284827B2Automatic adjustment method and device for color wheel
Publication Date: 2019.05.07 HISENSE USA CORP
  • US10284827B2 patent drawing
  • US10284827B2 patent drawing
  • US10284827B2 patent drawing

AI summary

The disclosure provides an automatic adjustment method and device for a color wheel. The method comprises: collecting a first frame image corresponding to an actual projection region; determining a proportion of normal pixels in the first frame image according to pixel information of the first frame image; determining a target correction value of the color wheel and each color switch according to the proportion of normal pixels in the first frame image; and adjusting the coordination parameter of the color wheel and each color switch to the target correction value, wherein the proportion of normal pixels in the image corresponding to the actual projection region obtained by adjusting the coordination parameter of the color wheel and each color switch to the target correction value is within an interval of [a %, 100%]; and the proportion of normal pixels in the first frame image is lower than a %, a % being lower than or equal to 100%.