Color Sensor Calibration Matrix for LED Cross-Talk Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in surgical robotic systems is accurately classifying colors from LEDs due to significant cross-talk between color channels in the color sensor, leading to manufacturing yield and accuracy issues.
Innovation Solution
A system and method to characterize and calibrate color sensors using a calibration matrix based on linear system theory, combined with Monte Carlo simulation, to reduce cross-talk and improve classification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If color sensor readings are used directly in RGB color space for classification, then the system is simple to implement, but classification accuracy deteriorates due to cross-talk between color channels
Solution Approach 1:
The patent transforms color sensor readings from RGB color space to HSV color space, changing the parameter representation. This transformation separates the color information (hue) from intensity and saturation, effectively reducing cross-talk between color channels and improving classification accuracy while maintaining reasonable system complexity
Solution Approach 2:
The patent introduces an intermediary calibration matrix that corrects sensor readings before classification. This calibration matrix acts as a mediator that compensates for cross-talk effects by adjusting the raw sensor data based on predetermined correction factors, thereby improving measurement precision without significantly increasing system complexity
2Device complexity
If simple thresholds are applied to HSV space for color classification, then the classification process is simplified, but manufacturing yield deteriorates due to variability between sensors from different batches
Solution Approach 1:
The patent performs preliminary calibration by determining calibration matrices for each sensor batch before classification. This preliminary action characterizes the specific properties of each sensor batch and stores this information for later use, enabling accurate classification across different batches while maintaining simple threshold-based classification processes
Solution Approach 2:
The patent creates a universal calibration approach that works across different sensor batches. By establishing batch-level calibration matrices that capture common characteristics of sensors from the same manufacturing batch, the system achieves consistent classification performance across multiple batches without requiring batch-specific threshold tuning
3Measurement precision
If calibration matrices based on linear system theory are used to correct sensor readings, then classification accuracy is improved, but the processing complexity and time increase
Solution Approach 1:
The patent performs the computationally intensive calibration matrix calculations during manufacturing or initialization phases, before actual color classification operations. This preliminary action pre-computes correction matrices that can then be applied quickly during runtime, reducing processing time during actual use while maintaining high accuracy
Solution Approach 2:
The patent transforms the calibration process into a matrix multiplication operation in HSV color space, which is computationally more efficient than alternative approaches. By changing the color space parameters and using linear algebra operations, the system achieves accurate correction with optimized processing time
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
Enhances the manufacturing yield and classification accuracy of LEDs by effectively filtering out systematic errors and crosstalk, resulting in improved color reproduction and differentiation of foot pedals.
Implementation Method 1
The color sensor is configured to detect red, green and blue (R, G, B) lights in different channels
Implementation Method 2
foot pedals are illuminated with light emitting diode (LED) lights. The LED lights generate different colors allowing the surgeon to differentiate between foot pedals
Data Source
AI summary
A method for generating a calibration parameter for light sources includes activating at least one LED of a plurality of multicolor LEDs of a light source and measuring a color of the at least one LED in a first color space. The method also includes scaling the color of the at least one LED relative to the plurality of multicolor LEDs, obtaining a plurality of scaled color measurements, and calculating a calibration matrix based on the plurality of scaled color measurements.