Thermal Camera Distance Compensation for Temperature Accuracy
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Solution Overview
Problem
Existing thermal image devices for non-contact temperature measurement face challenges in accuracy due to varying distances and multiple heat sources in crowded environments, leading to difficulties in accurately detecting body temperatures.
Innovation Solution
A thermal image-based temperature measurement calibration method that uses a processor to capture images, process thermal data, and apply distance compensation values based on pixel numbers to calibrate temperature measurements, integrating a thermal image camera and a temperature reference device for precise temperature determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If non-contact temperature measurement is used to enable rapid detection, then measurement speed is improved, but measurement accuracy deteriorates due to distance variations and multiple heat sources
Solution Approach 1:
The system changes the parameter of distance by capturing target image blocks at different distances and calculating distance compensation values based on pixel number variations. This allows the system to compensate for distance effects and maintain measurement accuracy while preserving the rapid non-contact measurement capability
Solution Approach 2:
The patent replaces complex mechanical distance measurement systems with an image processing-based approach. By using pixel number analysis from thermal images to infer distance and apply compensation, the system achieves accurate temperature measurement without requiring additional mechanical ranging devices
2Productivity
If thermal image devices are used to detect multiple targets simultaneously, then productivity is improved, but measurement precision deteriorates due to difficulty in identifying human body heat sources among multiple heat sources
Solution Approach 1:
The system applies local quality by focusing processing on specific target image blocks identified in the thermal image. By selecting and analyzing only the relevant regions corresponding to human bodies rather than processing the entire image uniformly, the system efficiently identifies heat sources while maintaining accuracy in crowded environments
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 accuracy of temperature measurement by compensating for distance variations and multiple heat sources, enabling rapid and accurate detection of body temperatures in crowded settings without the need for expensive sensors.
Implementation Method 1
a thermal image camera capturing image at a monitored environment to obtain a measured thermal image
Data Source
AI summary
A thermal image-based temperature measurement calibration method applicable to a thermal image device is provided. The method includes a capturing stage, a processing stage and a calibration stage. During the capturing stage, the thermal image device captures a monitored environment to obtain a measured thermal image. During the processing stage, a processor processes on the measured thermal image to obtain a target information, wherein the target information corresponds to a target in the monitored environment, and the target information includes a target image block and a target measured temperature corresponding to the target image block. During the calibration stage, the processor obtains a distance compensation value according to a pixel number of the target image block, and the processor performs a calibration operation to the target measured temperature at least according to the distance compensation value to obtain a calibrated temperature value corresponding to the target.