Contactless Disease Detection Using Radar, Thermal Imaging, and AI
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting contagious diseases like COVID-19 are inefficient and lack precision, requiring time-consuming clinical examinations and tests with low confidence levels, necessitating rapid and accurate detection solutions, especially in mobile settings.
Innovation Solution
A system utilizing a combination of physiological measurement sensors, thermal cameras, and artificial intelligence to rapidly analyze vital signs and thermal imaging data for disease detection, enabling contactless diagnosis within seconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional clinical examinations and tests are used for disease detection, then diagnostic accuracy can be improved, but detection time and complexity increase significantly
Solution Approach 1:
The system segments the diagnostic process into multiple independent measurement components (thermal imaging, radar vital signs monitoring, visible imaging) that can be performed simultaneously and independently, allowing comprehensive assessment without sequential delays
Solution Approach 2:
The system merges multiple sensing modalities (thermal camera, radar sensor, visible camera) into a single integrated diagnostic system that processes multiple parameters simultaneously, achieving both speed and accuracy through combined measurement data
2Reliability
If traditional clinical examinations are used for disease detection, then diagnostic reliability can be improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system performs self-diagnosis by automatically processing measurement data through artificial intelligence algorithms, eliminating the need for trained medical professionals to interpret complex clinical test results, thus maintaining reliability while reducing operational complexity
Solution Approach 2:
The system replaces manual clinical examination procedures with automated sensor-based measurements and AI-driven analysis, substituting complex mechanical and human-operated diagnostic processes with electronic sensing and computational processing
3Object-affected harmful factors
If contactless measurement methods are used, then contamination risk is reduced, but measurement precision may deteriorate
Solution Approach 1:
The system uses electromagnetic fields (radar waves, thermal radiation, visible light) as intermediaries to obtain vital signs data without physical contact, allowing accurate measurement of respiratory rate, heart rate, and temperature while maintaining safety distance and preventing contamination
Solution Approach 2:
The system measures different physical parameters (thermal radiation patterns, radar reflectivity changes, visible light absorption) that correlate with vital signs, enabling contactless detection of respiratory and cardiac functions through changes in these physical parameters
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
Facilitates rapid, accurate, and contactless disease detection, reducing contamination risks and enabling mass screening, facilitating deployment of field hospitals, and supporting population health monitoring.
Implementation Method 1
an acquisition device for acquiring examination data on the person, this acquisition device notably comprising at least one physiological measurement sensor such as a radar
Implementation Method 2
a thermal camera for acquiring these examination data
Data Source
AI summary
The present invention relates to a system (1) for detecting a disease in a person, in particular a contagious disease such as COVID-19, this detection system comprising: —an acquisition device (7) for acquiring examination data on the person, this acquisition device comprising, in particular, at least one physiological measurement sensor such as a radar, and a thermal camera for acquiring this examination data, —a data processing device (3) arranged to receive this examination data obtained by the acquisition device, —a display device (30) arranged to display diagnostic information on the disease based on an analysis of the examination data, this diagnostic information possibly being representative of a level of probability that the person has the disease.