Shutterless Thermal Camera Temperature Correction Using Regression Coefficients
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Solution Overview
Problem
Conventional temperature measurement methods in uncooled thermal cameras face inaccuracies due to process variations and thermal drift, requiring complex calculations and additional hardware, which is resource-intensive and inefficient.
Innovation Solution
A method that measures ambient and focal plane array temperatures to determine radiometric regression coefficients, allowing for accurate temperature calculations using a processor circuit and a correction regression coefficient table, eliminating the need for additional hardware and complex computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional shutter-based offset correction method is used, then thermal drift influence is improved, but additional shutter hardware is required
Solution Approach 1:
The patent extracts and removes the shutter hardware from the system by implementing a shutter-less offset correction method. Instead of using physical shutter components to block infrared signals, the invention uses computational methods to achieve offset correction, thereby eliminating the need for additional mechanical hardware while maintaining temperature measurement accuracy.
Solution Approach 2:
The patent replaces the mechanical shutter system with a computational algorithm. The offset correction that previously required mechanical shutter operation is now achieved through software-based processing of infrared signals, substituting mechanical components with electronic/computational methods to reduce device complexity.
2Device complexity
If conventional shutter-less offset correction method is used, then additional hardware is eliminated, but complex multi-order equations require much system resource and computation time
Solution Approach 1:
The patent changes the mathematical parameters from complex multi-order equations to simplified linear regression models. By transforming the correction algorithm into a form that uses straightforward linear calculations with pre-determined coefficients, the invention reduces computational complexity and resource consumption while eliminating hardware requirements.
Solution Approach 2:
The patent performs preliminary calculation of regression coefficients during a calibration phase, storing these coefficients for later use. This preliminary action allows the actual temperature measurement process to use simple lookup and calculation operations rather than solving complex equations in real-time, significantly reducing computation time and system resource usage during operation.
3Ease of operation
If process variations of sensor and focal plane array temperature influence are not corrected, then measurement process is simple, but temperature measurement accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the measured infrared signals are processed through regression equations that account for sensor process variations and focal plane array temperature influences. The system continuously monitors these parameters and applies corrective calculations based on pre-determined regression coefficients, maintaining measurement accuracy without complicating the operational process.
Solution Approach 2:
The patent enables the measurement system to self-correct for process variations and temperature influences through automated regression analysis. The system uses内置 (built-in) regression coefficient tables and automatically performs correction calculations without requiring manual intervention or complex operational procedures, thus maintaining simplicity while improving accuracy.
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
This approach improves measurement accuracy by reducing sensor offset and simplifying the correction process, achieving precise temperature measurements without additional hardware or complex calculations.
Implementation Method 1
a focal plane array comprising a plurality of infrared sensors for sensing infrared energy radiated from an object
Implementation Method 2
measuring an ambient temperature, a temperature of the case and an operation temperature of the focal plane array module
Data Source
AI summary
A temperature measurement correction method for a temperature detection device is provided. The temperature detection device includes a case and a focal plane array module disposed on an inner of the case. The temperature measurement correction method includes measuring an ambient temperature, a temperature of the case and a temperature of the focal plane array module, determining a plurality of radiometric regression coefficients according to the ambient temperature, the temperature of the case and the temperature of the focal plane array module, utilizing the temperature detection device to sense infrared energy radiated from an object to generate an electrical signal, and calculating an actual temperature value of the object according to the plurality of radiometric regression coefficients and the electrical signal.