Thermal Imaging Face Recognition for Non-Contact Temperature Detection
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Solution Overview
Problem
Current methods for mass temperature measurement in public places are inefficient and risk cross-infection due to the need for individual device contact.
Innovation Solution
A method and device that perform face recognition on optical static images and coordinate transformation with thermal imaging to determine body temperatures, using a linear regression algorithm on temperature dot matrices from thermal images, allowing for simultaneous and accurate temperature detection across multiple individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a forehead thermometer is used to detect individuals one by one, then the detection can be performed with simple equipment, but the detection efficiency is low and cross-infection may occur
Solution Approach 1:
The patent replaces the mechanical contact-based forehead thermometer with a non-contact thermal imaging system combined with optical image processing. The thermal imaging camera captures temperature distribution without physical contact, while the optical image provides facial feature information for identification and positioning, eliminating the need for manual device handling and improving detection efficiency
Solution Approach 2:
The patent introduces an intermediary processing system that fuses thermal imaging data with optical image data. The optical image serves as an intermediary to identify facial features and map corresponding thermal regions, enabling accurate temperature measurement without direct contact between the measurement device and the subject
2Productivity
If thermal imaging is used to detect multiple people simultaneously, then detection efficiency improves, but the accuracy of temperature measurement may deteriorate due to coordinate misalignment between thermal and optical images
Solution Approach 1:
The patent transforms the coordinate systems of thermal and optical images to a unified reference frame. By performing coordinate transformation based on detected facial key points, the system aligns the thermal image data with the optical image data, ensuring that temperature measurements are accurately mapped to the correct facial regions even when detecting multiple people simultaneously
Solution Approach 2:
The patent applies local coordinate transformation by identifying specific facial key points (such as eye corners, nose, mouth) and using these localized features as reference for alignment. This local quality approach ensures that the transformation is accurate for each individual's facial geometry, maintaining temperature measurement precision across multiple subjects
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
This approach significantly enhances detection efficiency while preventing cross-infection by accurately determining body temperatures from thermal imaging data, enabling quick identification of individuals with abnormal temperatures.
Implementation Method 1
a thermal imaging camera to obtain a thermal imaging image
Data Source
AI summary
A method and device for detecting a body temperature, electronic apparatus and storage medium are provided, which relate to the field of infrared temperature measurement. The method includes: performing face recognition on an optical static image, to determine at least one face image in the optical static image and coordinates of the face image; performing coordinate transformation on a thermal imaging static image and/or the optical static image, to determine thermal imaging information of the face image, wherein the optical static image and the thermal imaging static image include a same image acquisition target with a same face; and determining a body temperature corresponding to the face image, according to the thermal imaging information of the face image. in the embodiment of the present application, efficiency of body temperature detection in public places can be improved and cross infection can be prevented.