Color Interpretation Calibration for Reliable Camera-Based Detection
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Solution Overview
Problem
Existing systems for interpreting color in environments, particularly for individuals with color-vision impairment, face challenges due to variations in color calibration between recording devices, leading to unreliable color analysis, and the use of spectral cameras adds weight, cost, and maintenance.
Innovation Solution
A system and method that utilizes a camera, a controller, and a color reference chart to calculate a color calibration matrix through least square regression, converting RGB values to CIE XYZ values for accurate color identification, and displays the results using augmented reality head-up displays, transparent windscreen displays, or human-machine interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral cameras are used to detect colors in the environment, then color detection accuracy is improved, but device weight, cost, and maintenance requirements increase
Solution Approach 1:
The patent creates a digital copy (color calibration matrix) of the spectral camera's color detection capabilities through calibration images and mathematical processing. This matrix serves as a virtual replica that can be stored and reused, eliminating the need for physical spectral camera hardware while maintaining color detection accuracy.
Solution Approach 2:
The patent replaces the mechanical/optical system of spectral cameras with a computational approach using standard cameras, color calibration matrices, and image processing algorithms. This substitution eliminates complex hardware while achieving the same functional goal through software-based color analysis.
2Device complexity
If image analysis is used to identify colors of objects, then device complexity is reduced, but color analysis reliability deteriorates due to variations in color calibration between recording devices
Solution Approach 1:
The patent transforms the color data from device-dependent RGB values to device-independent CIE XYZ color space values through calibration. This parameter transformation eliminates the variability between different recording devices by mapping all colors to a standardized color space, thereby improving reliability while maintaining simplicity.
Solution Approach 2:
The patent introduces a color calibration matrix as an intermediary that mediates between the camera's native color space and the standard CIE XYZ color space. This matrix acts as a translation layer that corrects device-specific variations and enables reliable color analysis across different recording devices.
3Measurement precision
If color calibration matrices are calculated using least square regression, then color interpretation accuracy is improved, but computational processing time increases
Solution Approach 1:
The patent performs the computationally intensive least square regression calculation in advance during a calibration phase, storing the resulting color calibration matrix for future use. This preliminary action eliminates the need for repeated complex calculations during actual color interpretation tasks, significantly reducing processing time while maintaining high accuracy.
Data Source
AI summary
A system for interpreting color includes a camera for capturing images of an environment and a controller in electrical communication with the camera. The controller is programmed to capture an image of the environment using the camera, where the image includes an object, retrieve a color calibration matrix from a non-transitory storage media of the controller, and determine a color of the object in the environment based at least in part on the color calibration matrix and the image of the environment.