Face Recognition Body Temperature Measurement with Environmental Correction
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Solution Overview
Problem
Existing remote body temperature measuring methods using thermal imaging cameras struggle to accurately estimate body temperatures of objects with varying temperatures, as they fail to account for variables such as measurement distance, external temperature, and temperature change rates.
Innovation Solution
A face recognition body temperature measuring apparatus and method that simultaneously captures video and thermal images, detects the face area, sets a temperature measurement area, calculates the greatest infrared intensity value, and applies correction values based on measurement distance, external temperature, and temperature change rates to accurately measure body temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If thermal imaging camera is used to detect infrared rays and visualize temperatures, then remote body temperature measurement is enabled, but measurement precision deteriorates due to lack of correction for varying temperatures and environmental variables
Solution Approach 1:
The patent applies parameter changes by introducing multiple correction values that adjust the infrared intensity values based on varying conditions. Specifically, it calculates a first correction value based on measurement distance, a second correction value based on external temperature, and a third correction value based on temperature change rate. These correction values dynamically adjust the temperature measurement to compensate for environmental variables, thereby improving measurement precision while maintaining remote measurement capability
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring environmental parameters (distance, external temperature, temperature change rate) and using this information to calculate correction values. The system measures the infrared intensity value, compares it with reference values, and applies corrections based on feedback from environmental sensors and historical data, creating a closed-loop system that improves temperature estimation accuracy
2Device complexity
If black box with fixed temperature is used for temperature monitoring, then simple temperature threshold monitoring is achieved, but adaptability deteriorates because temperatures of objects with different temperatures cannot be estimated
Solution Approach 1:
The patent achieves universality by creating a temperature measurement system that can handle multiple temperature ranges and conditions through the use of correction values. Instead of requiring different devices for different temperature scenarios, the system uses a single apparatus that adapts to various temperatures by applying appropriate correction factors based on measured environmental parameters, enabling both simple operation and multi-temperature estimation capability
Solution Approach 2:
The patent applies dynamics by transitioning from a static fixed-temperature reference system to a dynamic system that continuously adjusts measurement parameters. The correction values are dynamically calculated based on real-time environmental conditions (distance, external temperature, temperature change rate), allowing the system to adapt to varying temperatures and conditions while maintaining operational simplicity
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 solution enables accurate measurement of body temperature by accounting for various environmental and measurement-related variables, improving the precision and reliability of remote body temperature assessment.
Implementation Method 1
The thermal imaging cameras detect infrared rays and visualize the infrared rays in different colors depending on temperatures
Data Source
AI summary
A face recognition body temperature measuring apparatus includes a communication module receiving a video image and a thermal image obtained by simultaneously imaging at least one target object from a camera module, a memory storing a body temperature measurement program for measuring a body temperature by using the video image and the thermal image, and a processor executing the program.