Projection Fusion Calibration via Sharpness Difference Detection

Solution Overview

Problem

Existing projectors with built-in cameras struggle to maintain image quality in projection fusion areas over time or due to environmental factors, requiring manual intervention to determine if re-execution of image fusion is necessary.

Innovation Solution

A method and system where a first and second projection device project content onto a surface, capture images, and calculate sharpness values for overlapping and non-overlapping areas, triggering a fusion calibration operation if the sharpness difference exceeds a threshold, thereby automatically maintaining image quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If projection fusion is performed over time, then complete display content is achieved, but image quality in overlapping areas degrades

Engineering Contradiction:
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system captures images of the projection content, calculates sharpness values for overlapping and non-overlapping areas, and uses the difference between these values as feedback to determine when calibration is needed. This closed-loop feedback mechanism automatically detects image quality degradation and triggers recalibration accordingly.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The projection system performs self-diagnosis by automatically capturing images, calculating sharpness values, and determining whether calibration is needed without external intervention. The system serves itself by autonomously maintaining image quality through automated quality assessment and trigger-based recalibration.

Inventive Principle:
Principle #25Self-service

2Reliability

If manual detection of image quality degradation is used, then calibration can be performed, but user intervention is required and productivity decreases

Engineering Contradiction:
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system automatically monitors its own projection quality by capturing images and calculating sharpness values without requiring user intervention. This self-service capability eliminates the need for manual quality assessment while maintaining reliable image quality standards.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The automated feedback loop continuously assesses image quality by comparing sharpness values and automatically triggers calibration when degradation is detected, replacing manual detection and improving operational efficiency while maintaining reliability.

Inventive Principle:
Principle #23Feedback

3Manufacturing precision

If continuous calibration is performed, then image quality is maintained, but energy consumption and time loss increase

Engineering Contradiction:
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

Instead of continuous calibration, the system performs partial calibration only when necessary. By calculating sharpness values and comparing them against thresholds, the system triggers calibration only when image quality degradation is detected, avoiding unnecessary calibration operations and reducing time loss.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system performs periodic quality assessment by capturing images at intervals and calculating sharpness values. Calibration is triggered periodically only when the assessed quality meets calibration criteria, rather than performing continuous calibration, thus reducing time and energy consumption while maintaining image quality.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS11381794B2Method for triggering projection fusion calibration and projection system
Publication Date: 2022.07.05
  • US11381794B2 patent drawing
  • US11381794B2 patent drawing
  • US11381794B2 patent drawing

AI summary

A method for triggering projection fusion calibration and a projection system is provided, including the following. First and second display contents are projected respectively onto a projection surface by a first projection device and a second projection device and fused into a complete display content including an overlapping area and a first non-overlapping area corresponding to a part of the first display content. A first image on the projection surface is captured, a first sharpness value corresponding to the first non-overlapping area and a specific sharpness value corresponding to the overlapping area based on the first image are obtained, and a first sharpness value difference between the first sharpness value and the specific sharpness value is obtained. In response to determining the first sharpness value difference being greater than a first threshold a fusion calibration operation is triggered, or a fusion calibration prompt is provided.