Neural Network Approximating 5-Angle Color Difference Model

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Solution Overview

Problem

The existing 5-angle color difference model requires 5-angle measurements, which are not consistently replicable with 3-angle color measurement systems, leading to inconsistent results when comparing coatings from different manufacturers.

Innovation Solution

A neural network empirical model is used to approximate the 5-angle color difference model using 3-angle measurements by calculating 3-angle tolerance values and applying them in the 5-angle equation, ensuring consistent results across different measurement systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a 5-angle color difference model is used to achieve accurate color difference quantification, then measurement precision is improved, but device complexity increases due to requiring 5 different measurement angles

Engineering Contradiction:
Improvecolor difference quantification accuracyVSAvoidmeasurement system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a computational model that replicates the 5-angle color difference calculation results using only 3-angle measurement data. The neural network is trained to copy the behavior and output of the full 5-angle system, allowing 3-angle devices to achieve 5-angle level accuracy without requiring the complex 5-angle measurement hardware

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent transforms the measurement parameters by using 3-angle data (15°, 45°, 110°) to predict tolerance values that are then applied in the 5-angle color difference equation. This parameter transformation allows the system to work with fewer measurement angles while still producing accurate 5-angle equivalent results through mathematical compensation

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If 3-angle color measurement systems are used to reduce device complexity, then ease of operation is improved, but measurement precision deteriorates due to inconsistent color difference values

Engineering Contradiction:
Improvemeasurement system usabilityVSAvoidcolor difference consistency
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the neural network continuously learns from training data to improve its predictions of 5-angle tolerance values from 3-angle measurements. The system uses feedback loops during training to adjust weights and biases, ensuring that the 3-angle system progressively achieves measurement precision consistent with the 5-angle standard

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces a neural network computational model as an intermediary between the 3-angle measurement system and the 5-angle color difference equation. This intermediary translates 3-angle data into predicted 5-angle tolerance values, bridging the gap between the simpler 3-angle system and the more accurate 5-angle standard

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If different manufacturers use different angle systems (3-angle vs 5-angle) to simplify their respective devices, then adaptability is improved, but loss of information occurs due to inconsistent color difference values

Engineering Contradiction:
Improvemanufacturer system flexibilityVSAvoidcolor difference data consistency
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent creates a universal computational model that can process 3-angle measurement data from any manufacturer and produce consistent 5-angle equivalent results. This universal approach allows different manufacturers using different measurement systems to exchange and compare color data consistently, eliminating information loss while preserving each manufacturer's device flexibility

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11694364B2Systems and methods for approximating a 5-angle color difference model
Publication Date: 2023.07.04 LLC AXALTA COATING SYST IP C LLC
  • US11694364B2 patent drawing
  • US11694364B2 patent drawing
  • US11694364B2 patent drawing

AI summary

Apparatuses and methods for approximating a 5-angle color difference model are provided, where the 5-angle color difference model utilizes a 5-angle equation. In an exemplary embodiment, an apparatus includes a storage device for storing instructions and one or more processors configured to execute the instructions. The processor(s) are configured to receive 3-angle standard and test color measurements, and enter the 3-angle standard measurement into a neural network empirical model. The neural network empirical model includes a plurality of input nodes, a plurality of hidden nodes connected to the input nodes, and a plurality of output nodes connected to the hidden nodes. The neural network empirical model is configured to output 3-angle tolerance values, and to calculate a 3-angle color difference value using the 5-angle equation for at least one of the 3 color measurement angles using the 3-angle standard and test color measurements and the 3-angle tolerance values.