Infrared Temperature Measurement With Image-Based Distance Compensation
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Solution Overview
Problem
Infrared temperature measurement devices face inaccuracies due to varying distances between the target and the device, affecting precision and efficiency, and existing methods requiring constant distance adjustment are inefficient.
Innovation Solution
An infrared temperature measurement method that determines key point coordinates from a target image, calculates the distance based on configuration information, and compensates the measurement temperature to account for distance variations, using grayscale or visible light images, or fusion images, to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the distance between the target and the infrared temperature measurement device is not controlled, then the measurement speed and efficiency are improved, but the temperature measurement precision deteriorates
Solution Approach 1:
The system captures a target image, detects key point coordinates, calculates the actual distance between the target and device, and uses this distance information to compensate the temperature measurement. This feedback loop allows the system to automatically adjust for distance variations, maintaining measurement precision without requiring manual distance control, thus resolving the contradiction between measurement efficiency and precision
Solution Approach 2:
The system changes the parameter being measured from just temperature to include distance information as well. By calculating distance based on key point coordinates and using this distance parameter to compensate the temperature reading, the system adapts to varying distances automatically, allowing efficient measurements at any distance while maintaining precision through parameter compensation
2Measurement precision
If a capacitive distance sensor is integrated to determine distance, then the temperature measurement precision is improved, but the device complexity increases
Solution Approach 1:
The imaging component serves dual purposes: both capturing the target image for visual information and measuring distance through key point coordinate analysis. By making the imaging system multi-functional, the device eliminates the need for a separate capacitive distance sensor, reducing device complexity while maintaining temperature measurement precision through the calculated distance information
Solution Approach 2:
Instead of using a separate physical distance sensor, the system creates a virtual distance measurement by calculating the distance between key points in the captured image and converting this to actual distance using device parameters. This virtual copying of distance measurement functionality from the imaging system replaces the need for additional physical sensors, simplifying the device structure
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 method enhances temperature measurement precision and efficiency by compensating for distance variations without requiring manual distance adjustments, combining target image analysis with grayscale and visible light imaging.
Implementation Method 1
infrared temperature measurement devices based on infrared light
Data Source
AI summary
An infrared temperature measurement method, apparatus, device, and storage medium, which relate to the field of image processing is disclosed. The method comprises: determining a measurement temperature of a to-be-measured target based on a grayscale image captured to obtain a first measurement temperature; determining key point coordinates of the target based on a target image; determining a first distance based on the key point coordinates and configuration information of an infrared temperature measurement device, the first distance is a distance between the target and the infrared temperature measurement device; determining an actual temperature of the target based on the first measurement temperature and the first distance. In this way, the target image ranging and grayscale image temperature measurement can be combined, which not only reduces the influence of distance on the measurement temperature, but also avoids the problem of inaccurate measurement temperature when the distance does not meet the requirements.