Multi-Camera Thermal Tracking for Fever Screening in Moving Crowds
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Solution Overview
Problem
Current CCTV systems struggle to accurately track and monitor moving objects, especially in environments like intersections, and are inefficient in determining if an object is infected with an infectious disease, leading to resource wastage.
Innovation Solution
A thermal-image monitoring system using multiple cameras, including optical and thermal imaging cameras, to track and image specific objects by determining their temperature and movement, minimizing blind spots and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a CCTV system tracks all moving objects, then no infectious disease cases are missed, but resources are wasted on tracking non-infected objects
Solution Approach 1:
The system segments the monitoring process into two stages: first using thermal imaging to detect temperature anomalies that may indicate infection, then using optical cameras to track only those specific objects that exceed the temperature threshold. This segmentation allows the system to maintain high detection reliability while avoiding resource waste on non-infected objects.
Solution Approach 2:
The system uses temperature as a key parameter to identify potentially infected objects. By monitoring temperature changes and comparing them against threshold values, the system can distinguish between infected and non-infected objects, enabling selective tracking that balances reliability with resource efficiency.
2Ease of operation
If a fixed CCTV captures a fixed area, then the system is simple to operate, but it cannot accurately determine the moving direction of objects in environments like intersections
Solution Approach 1:
The system replaces fixed CCTV cameras with dynamic speed dome cameras that can automatically pan, tilt, and zoom to track moving objects. This dynamic capability enables accurate determination of moving direction in complex environments like intersections, while the automated tracking algorithms maintain ease of operation without requiring manual intervention.
Solution Approach 2:
The system uses feedback from thermal imaging data and object tracking algorithms to automatically adjust camera positions and orientations. This feedback mechanism enables the cameras to follow moving objects and determine their direction accurately, while the automation preserves operational simplicity.
3Measurement precision
If thermal imaging camera is used to detect temperature, then infected objects can be identified, but the system complexity increases
Solution Approach 1:
The system merges thermal imaging cameras with optical speed dome cameras into an integrated monitoring system. This combination allows simultaneous temperature detection and visual tracking, achieving high measurement precision for identifying infected objects while managing system complexity through unified control and coordinated operation of multiple camera types.
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 system provides efficient monitoring by tracking only specific objects based on their temperature, reducing resource waste and enhancing accuracy in identifying potential health risks.
Implementation Method 1
acquiring thermal-image information about the moving object from the thermal imaging camera mounted on one side of the speed dome camera
Data Source
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AI summary
One embodiment of the present disclosure relates to a method for thermal-image-monitoring a moving body, comprising the steps of: acquiring first image information from at least one optical camera; deriving a moving body in the first image information; generating position information about the moving body based on information about the moving body; controlling the motion of a speed dome camera based on the position information about the moving body so that the speed dome camera faces the moving body; acquiring second image information about the moving body from the speed dome camera; acquiring thermal imaging information about the moving body from a thermal imaging camera mounted at one side of the speed dome camera; acquiring enhanced thermal imaging information based on the thermal imaging information and the second image information; acquiring the temperature of the moving body based on the enhanced thermal imaging information; and determining, based on the temperature of the moving body, whether the speed dome camera tracks and captures the moving body.