Thermal Imaging Calibration Without Shutter Response Fluctuations
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Solution Overview
Problem
Current thermal imaging modules require lengthy warm-up times and complex calculations for accurate temperature measurement, especially in environments with varying ambient temperatures, leading to inaccurate readings due to shutter-induced response value fluctuations.
Innovation Solution
A simplified temperature measurement calibration method using a quadratic curve double-interval joint equation for real-time nonlinear automatic temperature offset, reducing the need for lengthy warm-up times and complex calculations by performing linear regression analysis on response values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single temperature point shutter calibration is performed to maintain temperature accuracy, then measurement precision is improved, but the shutter causes response value fluctuations that worsen measurement stability
Solution Approach 1:
The patent extracts and removes the shutter component from the temperature measurement system. By eliminating the shutter entirely, the source of response value fluctuations is removed, allowing continuous temperature measurement without the stability issues caused by shutter-induced interruptions. The system achieves both precision and stability by operating without the shutter mechanism.
Solution Approach 2:
The patent performs comprehensive temperature calibration during the manufacturing process, creating lookup tables and calibration curves in advance. This preliminary calibration covers a wide temperature range (−40℃ to 125℃) and eliminates the need for subsequent shutter-based recalibration, thereby preventing response value fluctuations while maintaining measurement precision throughout the device's operation.
2Measurement precision
If the thermal imaging module is allowed to warm up for 15-20 minutes to reach stable operating temperature, then measurement precision is improved, but the time required before measurement can begin increases
Solution Approach 1:
The patent performs extensive temperature calibration during the manufacturing process, creating comprehensive lookup tables and calibration curves that cover the full operating temperature range. This preliminary action eliminates the need for extended warm-up periods, as the device is pre-configured with the knowledge needed to accurately measure temperatures immediately upon startup, regardless of the core chip's thermal stabilization status.
Solution Approach 2:
The patent replaces the physical warm-up process (thermal stabilization requiring time) with a computational approach using pre-calibrated lookup tables and algorithms. Instead of waiting for the hardware to thermally stabilize, the system uses software-based compensation methods that instantly correct for temperature variations, thereby eliminating the time loss associated with warm-up while maintaining measurement precision.
3Measurement precision
If manual temperature offset fine-tuning is performed to correct temperature measurements, then measurement precision is improved in stable environments, but the method becomes inapplicable in environments with higher ambient temperature variation
Solution Approach 1:
The patent creates a universal temperature compensation system that functions across all ambient temperature conditions. By implementing a dual-mode approach that combines lookup table-based compensation for stable environments with real-time dynamic compensation for varying conditions, the system maintains measurement precision whether the ambient temperature is constant or changing, thereby achieving both precision and adaptability.
Solution Approach 2:
The patent implements dynamic temperature compensation that automatically adapts to changing ambient conditions. The system continuously monitors temperature variations and dynamically adjusts compensation parameters in real-time, transitioning from static lookup table methods to active dynamic compensation when environmental changes are detected. This dynamic approach maintains measurement precision across varying ambient temperatures without requiring manual intervention.
4Measurement precision
If complex orthogonal high-order feature transformation matrix calculations are performed to achieve accurate temperature measurement across wide temperature ranges, then measurement precision is improved, but the device complexity and computational burden increase
Solution Approach 1:
The patent segments the temperature measurement problem into distinct operational modes and temperature ranges, each handled by specialized algorithms. By dividing the wide temperature range (−40℃ to 125℃) into multiple segments with dedicated compensation strategies, the system achieves high precision across the full range without requiring a single complex computational model. Each segment uses optimized, simpler calculations appropriate for its specific temperature conditions.
Solution Approach 2:
The patent changes the computational parameters and methods based on operating conditions, switching between different algorithms and data structures. Instead of always using complex orthogonal transformations, the system selects appropriate computational approaches (lookup tables, polynomial fits, or simplified matrix operations) based on the current temperature range and environmental conditions, thereby reducing computational complexity while maintaining precision.
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
Enables rapid and accurate temperature measurement without increasing system size or energy consumption, maintaining stability and precision across varying ambient temperatures.
Implementation Method 1
obtaining a response value generated by measuring a blackbody temperature
Data Source
AI summary
A temperature measurement calibration method without interference of a shutter of a thermal imaging module comprises steps: at a temperature of a core chip of a thermal imaging module, obtaining a response value generated by measuring a blackbody temperature after the shutter is started at a frame time; performing a linear regression analysis of the response value to obtain a correction response value equation; inputting the response value into the correction response value equation; and obtaining a correction response value of measuring the blackbody temperature.