On-Site Visual Display Calibration Using Remote CCD Imaging
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Solution Overview
Problem
Large visual display signs face challenges in on-site calibration due to manufacturing tolerances and aging, leading to color shifts and non-uniformity, making periodic recalibration necessary, but disassembly and transportation to a testing center are impractical and costly, and high-powered optics are required for accurate subpixel measurement from a distance.
Innovation Solution
An on-site calibration system using a CCD digital color camera with specialized optics and software to capture high-resolution images of subpixels from a distance, manage data, and calculate correction factors for recalibration, allowing for on-site recalibration without disassembly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the visual display sign is disassembled and transported to a testing center for recalibration, then calibration accuracy can be maintained, but the cost and complexity increase significantly
Solution Approach 1:
The patent uses a digital camera to capture optical images of the display sign, creating a digital copy of the visual output. This allows calibration measurements to be performed on the captured image data rather than requiring physical access to each subpixel, thereby maintaining calibration accuracy while eliminating the need for disassembly and transportation
Solution Approach 2:
The patent replaces the mechanical approach of physically accessing and measuring each subpixel at a testing center with an optical system using a digital camera to capture images from a distance. This substitution eliminates the need for mechanical disassembly and transportation while maintaining measurement capability
2Ease of operation
If a CCD digital color camera with specialized optics is used to capture subpixel images from a distance, then on-site calibration becomes possible, but the device complexity and cost increase
Solution Approach 1:
The patent transitions from direct physical measurement in the same plane as the display to remote measurement from a different spatial dimension (distance away). By using optical imaging to capture the display from a distance, the system enables on-site calibration without requiring physical proximity or contact with the subpixels, thus improving ease of operation while managing device complexity through remote sensing
3Measurement precision
If high-powered specialized optics are used to measure subpixels from 200 meters away, then measurement precision is maintained, but the device complexity and cost increase
Solution Approach 1:
The patent combines multiple functions into a single integrated system: the digital camera captures both the optical image of the display and the necessary measurement data, while the processing system handles image analysis, subpixel identification, and calibration calculation. This merging of functions achieves measurement precision from distance without requiring separate high-powered optical instruments for each measurement task, thereby managing device complexity
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
Enables efficient and cost-effective recalibration of large visual display signs by capturing millions of data points in a single image, ensuring accurate color and brightness correction without the need for disassembly, improving color uniformity and reducing operational costs.
Implementation Method 1
A CCD digital color camera with specialized optics and software captures high-resolution images of subpixels from a distance
Data Source
AI summary
The present disclosure provides methods and apparatuses for on-site calibration of a visual display sign. In one exemplary implementation of the invention, an imaging device captures image data from a visual display sign. The imaging device can include a CCD digital camera and optics for long-range imaging. The captured image data is sent to an interface that compiles the data. The interface then calculates correction factors for the image data that may be used to achieve target color and brightness values for the image data. The interface then uploads the adjusted image data back to the visual display sign.