Thermal Image Forehead Positioning via ROI Corner Points
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Solution Overview
Problem
Conventional thermal imaging techniques struggle to precisely pinpoint the forehead location of a human body in thermal images, as the highest temperature point may not always be at the forehead, leading to inaccuracies and the need for additional camera modules that increase computation resources.
Innovation Solution
A thermal image positioning method and system that determine a region of interest, center reference point, and corner points within a thermal image to accurately locate the forehead by filtering temperature arrays and using corner points to identify the heat source location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the highest temperature point is used to represent the human body temperature, then the measurement is simple and quick, but the positioning accuracy of the forehead location deteriorates
Solution Approach 1:
The patent segments the temperature array into multiple regions (first region, second region, third region) and further divides each region into sub-regions. By analyzing temperature distributions in different segmented areas and identifying corner points of the human body region, the system accurately locates the forehead without requiring additional camera modules, thus resolving the contradiction between quick measurement and precise positioning.
2Measurement precision
If a camera module is added to detect and position the face using visible light, then the forehead location accuracy is improved, but the device complexity and computation resources increase
Solution Approach 1:
The patent makes the thermal imaging device perform multiple functions: it not only detects temperature but also positions the forehead location by analyzing temperature distribution patterns and identifying corner points in the temperature array. This multi-functionality eliminates the need for separate visible light camera modules while maintaining accurate forehead positioning, thus reducing device complexity and computation resources.
Solution Approach 2:
The thermal imaging device uses its own temperature data to accomplish positioning tasks that would otherwise require separate visible light cameras. By processing the temperature array to identify human body regions and corner points, the system makes the thermal device self-sufficient for both temperature measurement and location positioning, eliminating external camera dependencies.
3Device complexity
If the highest temperature point is used without additional modules, then the device complexity is low, but the reliability of temperature representation deteriorates
Solution Approach 1:
The patent divides the temperature array into multiple regions and sub-regions, analyzing temperature distributions across different areas. By identifying corner points and determining the first sub-region with specific temperature characteristics, the system reliably identifies the forehead location and its temperature without adding device complexity, thus resolving the contradiction between simple device structure and reliable temperature representation.
Data Source
AI summary
A thermal image positioning method for determining a heat source location of the thermal image is disclosed. The thermal image positioning method includes obtaining a temperature array corresponding to the thermal image and determining a region of interest (ROI) of the temperature array. The thermal image positioning method further includes determining an ROI center reference point of the ROI, determining a plurality of corner points corresponding to the ROI, and determining the heat source location according to at least one of the plurality of corner points. A thermal image positioning system is also disclosed herein.