Computer Vision Screening for Sickness Behavior Detection

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Solution Overview

Problem

Current methods for controlling infectious disease spread rely on expensive medical personnel and equipment for early identification, and individuals often transmit diseases before showing symptoms, making it difficult to implement effective public health measures.

Innovation Solution

A system combining camera systems with infrared or multispectral imaging and AI algorithms to detect sickness behaviors and temperature anomalies, allowing for real-time monitoring and tracking of individuals across environments, and integrating data from various sensors to create a viral infection score.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional medical personnel and testing equipment are used for early identification of infectious diseases, then identification accuracy is improved, but cost and complexity increase

Engineering Contradiction:

Improveidentification accuracyVSAvoidcost and complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces mechanical/physical testing equipment and human medical personnel with an automated computer vision system using cameras and AI algorithms. The system captures images of individuals, processes them through trained machine learning models, and automatically identifies sickness behaviors and potential infections, eliminating the need for expensive medical equipment and personnel while maintaining identification capability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates a digital copy of the individual's visual appearance and behavioral patterns through camera imaging. By capturing and analyzing image data, the system creates a representational model of the individual's state, allowing remote assessment of sickness behaviors without physical contact or expensive testing equipment

Inventive Principle:

Principle #26Copying

2Measurement precision

If manual review of individual health status is performed, then detection accuracy is improved, but productivity and speed decrease

Engineering Contradiction:

Improvedetection accuracyVSAvoidscreening speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system enables self-service by allowing the camera system to automatically capture, process, and analyze image data without human intervention. The trained AI models independently perform the detection and classification of sickness behaviors, eliminating the need for manual review while maintaining detection accuracy and significantly increasing screening throughput

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual human review with automated computer vision and machine learning processing. The system uses algorithms to automatically analyze image data, detect sickness behaviors, and generate results, substituting human labor with computational processes that operate faster and at lower cost while maintaining or improving detection accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If traditional testing methods are used, then reliability of identification is improved, but ease of operation deteriorates

Engineering Contradiction:

Improveidentification reliabilityVSAvoidoperational simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent replaces complex traditional testing procedures with a simple camera-based system. The automated image capture and AI analysis process eliminates the need for complex testing equipment, trained medical personnel, and elaborate testing protocols, making the system easy to deploy and operate while maintaining reliable identification through consistent algorithmic processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system achieves universality by using a standard camera system that can be deployed in various settings without requiring specialized equipment or extensive training. The same basic system can screen different populations in different environments, providing reliable identification across diverse applications while maintaining ease of operation through standardized procedures

Inventive Principle:

Principle #6Universality (Multi-functionality)

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

Enables accurate, non-invasive, and cost-effective screening of populations for infectious diseases, facilitating early intervention and reducing disease spread by identifying potentially infected individuals before they become symptomatic.

Implementation Method 1

the camera system is supplemented by an infrared or multispectral imaging system that is capable of making temperature measurements

Methodology Applied

Scientific EffectThermal radiation: Thermal Radiation

Data Source

PatentUS11727568B2Rapid illness screening of a population using computer vision and multispectral data

Publication Date: 2023.08.15 JAR SCIENTIFIC LLC

AI summary

An embodiment provides a method including obtaining, using a camera system, imagery of one or more individuals in an environment; analyzing, using a processor, the individual data using a trained model to identify individuals and recognize gestures that are indicative of sickness behavior; presenting, using a display device, information about individuals that have displayed sickness behavior above a calculated threshold.