Febrile Detection Using Baseline Temperature Segmentation
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Solution Overview
Problem
Existing systems for detecting febrile conditions in large groups of people are inadequate as they do not account for varying baseline temperatures among different age groups, genders, and individuals, leading to false negatives and false positives.
Innovation Solution
A system that uses non-volatile memory to store baseline temperatures, a camera module with facial recognition software, a wireless temperature sensor, and a processor to compare measured temperatures with individual or group-specific baseline temperatures, adjusting for factors like time of day and ambient temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed temperature threshold (e.g., 100.4°F) is used to detect febrile conditions, then the detection process is simple and fast, but the accuracy decreases due to varying baseline temperatures among different age groups, genders, and individuals
Solution Approach 1:
The system segments the population into different groups (age groups, genders, individuals) and assigns different baseline temperature thresholds to each segment. This allows accurate detection by comparing measured temperatures against group-specific baselines rather than a single fixed threshold, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-establishing baseline temperatures for different demographic groups and storing them in a database. When a person is screened, their measured temperature is compared against their pre-determined baseline, enabling accurate real-time detection without complex calculations during the screening process itself.
2Measurement precision
If individual baseline temperatures are stored and compared, then detection accuracy improves, but the system complexity and data storage requirements increase
Solution Approach 1:
The system uses a universal database structure that can store baseline temperatures for multiple demographic groups and individual users. This multi-functional database serves both individualized detection and population-level analysis, reducing overall data storage requirements by sharing common infrastructure across different user types.
Solution Approach 2:
Instead of storing complete temperature histories for every individual, the system creates simplified copies or representations of baseline data organized by demographic groups. This allows the system to function with aggregated group data when individual data is unavailable, reducing storage requirements while maintaining detection capability.
3Productivity
If rapid screening is performed in high-traffic areas, then productivity increases, but the risk of false negatives increases due to limited time for accurate measurement and comparison
Solution Approach 1:
Baseline temperatures are pre-calculated and stored for each demographic group before screening begins. During rapid screening, the system only needs to perform a simple comparison between the measured temperature and the pre-stored baseline, enabling fast decision-making without compromising accuracy even in high-traffic environments.
Solution Approach 2:
The system dynamically adjusts the comparison threshold based on the individual's demographic characteristics and pre-established baseline. This dynamic adaptation allows the system to maintain high reliability across different individuals while processing them rapidly, as each person is evaluated against their own personalized criteria rather than a static universal threshold.
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 system enhances the accuracy of febrile condition detection by personalizing baseline temperature comparisons, reducing false negatives and false positives, and allowing for rapid and efficient screening in high-traffic areas.
Implementation Method 1
a wireless temperature sensor to measure the temperature of the user
Data Source
AI summary
The present invention is directed to systems and process for detecting a febrile condition in screening of multiple or large groups of persons for the likelihood of infectious diseases. The system comprises a temperature measurement device having at least a processor, a display, temperature sensor, camera module, and facial recognition software. The display may include a positional overlay. The system further includes a database containing baseline temperatures for a number of persons, including baseline temperatures by age group and by gender. An input device optionally may identify the specific person or provide survey questions to a person to further determine a febrile condition. Based on the baseline temperatures, measured temperature and other characteristics of the person, a febrile condition may be determined. Additionally, the system may include a secondary screening component providing nasal swabbing or saliva testing.