Hyperspectral Light Source Control for Spectral Drift Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hyperspectral imaging systems for non-destructive quality assessment of crops are compromised by changes in the spectral emission profile of light sources, such as tungsten-halogen lamps, which affect the reliability of the imaging process.
Innovation Solution
A system and method that compensates for changes in the spectral emission profile of light sources by monitoring temperature, power dissipation, and specific wavelength intensity, adjusting voltage/current flow, or using a machine learning model to determine object attributes, and optionally employing a calibration board to maintain a consistent spectral emission profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the light source operates for extended periods or at high temperatures, then the imaging system can function continuously, but the spectral emission profile shifts towards shorter wavelengths compromising measurement reliability
Solution Approach 1:
The system continuously monitors the spectral emission profile of the light source and feeds this information back to the control unit, which adjusts illumination parameters in real-time to compensate for spectral shifts and maintain measurement reliability during continuous operation
Solution Approach 2:
The system changes operational parameters (voltage, current, duty cycle) of the light source based on monitored spectral characteristics, dynamically adjusting these parameters to compensate for temperature-induced spectral shifts and maintain consistent measurement conditions
2Illumination intensity
If the voltage/current to the light source is increased to maintain brightness, then illumination intensity is sufficient, but the temperature rises causing spectral profile changes
Solution Approach 1:
The system dynamically adjusts voltage and current parameters based on real-time temperature and spectral monitoring, optimizing the balance between illumination intensity and temperature control to prevent spectral shifts while maintaining sufficient brightness for imaging
Solution Approach 2:
The system takes preliminary action by monitoring spectral changes and adjusting illumination parameters before significant temperature rise occurs, preventing spectral profile changes rather than correcting them after the fact
3Measurement precision
If a calibration board is introduced to compensate for spectral changes, then measurement accuracy is maintained, but system complexity increases
Solution Approach 1:
The calibration board serves as an intermediary element that reflects known spectral characteristics, allowing the system to measure and compensate for light source spectral changes without requiring direct modification of the imaging path or complex additional sensors
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
Ensures reliable image-based inspection of objects despite changes in light source quality, maintaining accurate determination of external and internal attributes of crops.
Implementation Method 1
the spectral imaging profile of light sources such as tungsten-halogen lamp shifts towards shorter wavelengths as the temperature of the halogen lamp approaches the limiting melting point of tungsten
Implementation Method 2
a light source sensor configured to measure a temperature of the light source
Implementation Method 3
an intensity of a specific wavelength of the light emitted by the light source
Data Source
AI summary
There is provided a system and method for determining external and/or internal attributes of an object using hyperspectral imaging, while taking into consideration changes in the spectral emission profile of the light source used for the imaging.