Non-Contact Infrared Thermometry Using Multiband Emissivity Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In non-contact temperature measurement using infrared cameras, the influence of emissivity and positional relationship between the camera and the object can lead to measurement errors, especially when multiple objects with varying temperatures are captured, making it difficult to estimate the positional relationship and correct for emissivity.
Innovation Solution
A non-contact temperature measurement device and method that utilizes multiple infrared cameras with different sensitivity wavelength bands to estimate pixel correspondence, control sensitivity wavelength bands, and correct for emissivity and positional relationships by generating corrected pixel values and emissivity estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple infrared cameras with different sensitivity wavelength bands are used to estimate emissivity and correct measurement errors, then temperature measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the infrared detection task into multiple wavelength bands by using multiple infrared cameras with different sensitivity ranges. Each camera captures infrared images in a specific wavelength band, allowing the system to analyze spectral characteristics across different segments of the infrared spectrum to estimate emissivity and correct temperature measurements.
Solution Approach 2:
The patent adds the wavelength band dimension to the temperature measurement process. By capturing infrared images across multiple wavelength bands (different spectral dimensions), the system can estimate emissivity based on spectral ratios and improve temperature measurement precision without relying on single-band assumptions.
2Measurement precision
If pixel correspondence estimation is performed between multiple infrared images to correct positional relationships, then temperature measurement precision is improved, but processing time increases
Solution Approach 1:
The patent performs pixel correspondence estimation between infrared images in advance, before final temperature calculation. By pre-establishing the spatial mapping relationships between multiple wavelength band images, the system avoids repeated complex processing during temperature measurement, reducing overall processing time 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
The device accurately corrects for emissivity and positional effects, enabling precise non-contact temperature measurement by estimating emissivity and positional relationships using pixel correspondence and wavelength band control.
Implementation Method 1
An infrared camera captures an infrared image by detecting infrared light emitted by an object
Implementation Method 2
the emissivity of the infrared light of an object represents a ratio of energy of infrared light emitted from a black body having the same temperature as the object according to Planck's law
Data Source
AI summary
A non-contact temperature measurement device includes: a matching processing unit to estimate a correspondence relationship of pixels between images; a positional relationship estimating unit to estimate a positional relationship between an infrared camera and an object on the basis of the correspondence relationship of the pixels; a luminance correcting unit to correct luminance corresponding to a temperature in a luminance image on the basis of the positional relationship; and an emissivity correcting unit to estimate emissivity using the correspondence relationship of the pixels and the luminance image and generate a temperature image on the basis of the emissivity, in which the matching processing unit estimates the correspondence relationship of the pixels between images captured by the infrared camera in the same light receiving sensitivity wavelength band, and the emissivity correcting unit estimates emissivity using images captured by the infrared camera in different light receiving sensitivity wavelength bands.