Infrared Imaging Uncertainty Gauging via Dynamic Parameter Adjustment
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Solution Overview
Problem
Infrared imaging systems face challenges in accurately determining temperature data due to varying operating conditions, which affect the radiometric accuracy and confidence in image data, particularly in suboptimal conditions.
Innovation Solution
An uncertainty factor is calculated based on parameters such as target temperature, camera temperature, and temperature change, providing a metric for confidence in temperature measurements, which can be qualitative or quantitative, indicating the reliability of the image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If infrared imaging systems operate under varying operating conditions, then the system can adapt to different environments and applications, but the radiometric accuracy and reliability of temperature measurements deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of uncertainty factors based on real-time operating conditions. The system continuously monitors parameters such as target temperature, camera temperature, and temperature change rate, and dynamically calculates uncertainty factors that reflect the current radiometric accuracy. This allows the system to adapt to varying conditions while providing accurate reliability information through the uncertainty metric.
2Loss of information
If the system provides comprehensive temperature data without uncertainty information, then the data is complete and useful, but the reliability and confidence in the data under suboptimal conditions deteriorates
Solution Approach 1:
The patent introduces an uncertainty factor as an intermediary metric that mediates between the temperature data and the user's confidence in that data. The uncertainty factor does not replace the temperature data but accompanies it, providing a quantitative measure of reliability. This intermediary allows the system to maintain complete temperature data while simultaneously conveying the confidence level, resolving the contradiction between data completeness and reliability indication.
3Reliability
If uncertainty gauging is implemented to improve reliability indication, then the confidence in temperature data improves, but the device complexity increases due to additional calculations and parameters
Solution Approach 1:
The patent implements uncertainty gauging by calculating and utilizing multiple parameters including target temperature, camera temperature, temperature change rate, and integration time. By systematically monitoring and processing these parameters, the system generates an uncertainty factor that indicates radiometric accuracy. This parameter-based approach provides a structured method for improving reliability indication while keeping the complexity manageable through the use of well-defined physical parameters.
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
The uncertainty factor enhances the analysis of infrared image data by indicating when conditions are favorable or suboptimal for data reliability, aiding in applications like safety and temperature prediction, and improving the accuracy of temperature measurements.
Implementation Method 1
infrared image detectors, or other types of image detectors that may be provided in an image detector array for capturing an image. As an example, a plurality of sensors may be provided in an image detector array to detect electromagnetic (EM) radiation at desired wavelengths.
Data Source
AI summary
Techniques for facilitating uncertainty gauging for imaging systems and methods are provided. In one example, a method includes determining temperature data associated with infrared image data of a scene. The method further includes receiving at least one parameter associated with the infrared image data. The method further includes determining an uncertainty factor associated with the temperature data based on the at least one parameter. Related devices and systems are also provided.