Gonioapparent Surface Matching Sparkle Metric
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Solution Overview
Problem
Matching gonioapparent colored surfaces, such as automobile paneling, is complex due to varying colors and appearances caused by gonioapparent pigments, which are subjective and prone to human error.
Innovation Solution
A method and system that quantify differences between gonioapparent surfaces by determining correlated lightness, sparkle area, and sparkle intensity at specific angles, calculating a sparkle metric using a processor, and applying normalized sparkle grade difference tolerances to produce a quantified comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human inspection is used to match gonioapparent colored surfaces, then the process can be performed with simple equipment, but the matching precision and reliability are low due to subjectivity and human error
Solution Approach 1:
The patent replaces the mechanical human visual inspection system with an automated optical measurement system comprising a light source, sensor, and processor. The system objectively measures sparkle area, sparkle intensity, and lightness parameters, eliminating human subjectivity and error while providing precise quantitative matching of gonioapparent surfaces
Solution Approach 2:
The patent introduces an intermediary computational system that processes raw optical measurements through mathematical models and algorithms. This intermediary layer transforms physical measurements into standardized sparkle metrics, enabling precise comparison and matching while bridging the gap between physical measurement and visual perception
2Measurement precision
If multiple parameters (lightness, sparkle area, sparkle intensity) are measured at multiple angles, then the matching accuracy improves, but the measurement time and data processing complexity increase
Solution Approach 1:
The patent performs preliminary actions by pre-establishing measurement protocols, angle configurations, and computational models before actual measurement. The system is pre-programmed with the necessary algorithms and parameters, allowing rapid execution of multi-angle measurements without real-time decision-making delays
Solution Approach 2:
The patent efficiently manages measurement complexity by systematically varying parameters (illumination angles, viewing angles, measurement wavelengths) according to pre-defined protocols. The computational system processes these parameter variations through optimized algorithms that extract maximum matching information while minimizing redundant measurements
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
Provides a reliable and precise method for matching gonioapparent surfaces, reducing human error and subjectivity by quantifying differences through a sparkle metric that correlates with visual perception.
Implementation Method 1
a light source for illuminating the first surface at a first aspecular angle and at a second aspecular angle different from the first angle and the second surface at the first aspecular angle and at the second aspecular angle
Implementation Method 2
a sensor for sensing light reflected off the first and second surfaces at the respective first and second aspecular angles
Data Source
AI summary
A system and method of quantifying a difference between gonioapparent colored surfaces includes determining a lightness (L*), a sparkle area (Sa), and a sparkle intensity (Si) of the first and second surfaces at a first aspecular angle and at a second aspecular angle. A sparkle metric (SpkM) to quantify the difference between the first and second surfaces is calculated utilizing the lightness (L*), the sparkle area (Sa), and the sparkle intensity (Si) of the first and second surfaces at the first and second aspecular angles.