Multi-Sensor Surveillance Monitoring for Tamper-Resistant Vital Signs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing physiological monitoring technologies are limited in certain environments where necessary equipment is unavailable, necessitating a solution for continuous and reliable monitoring of individuals' vital signs while ensuring tamper resistance and privacy.
Innovation Solution
A smart electronic device with integrated sensors, such as thermal cameras, ultrasonic sensors, and microwave sensors, mounted in strategic locations to monitor physiological characteristics like body position, breathing rate, heart rate, and temperature, using AI models for real-time detection and differentiation of behaviors and health issues, with tamper-resistant design and privacy safeguards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional physiological monitoring equipment is used, then monitoring capability is achieved, but device availability is limited in certain environments
Solution Approach 1:
The smart electronic device integrates multiple sensor types (thermal camera, ultrasonic sensor, microwave sensor) into a single multi-functional unit that can monitor various physiological parameters (body temperature, breathing rate, heart rate) across diverse environments including detention cells, hospitals, and secure facilities, eliminating the need for environment-specific equipment
2Ease of operation
If monitoring equipment is placed within reach of individuals, then accessibility for maintenance is improved, but tamper resistance deteriorates
Solution Approach 1:
The system separates the monitoring device into two locations: the smart electronic device is mounted in secure, inaccessible locations (ceiling corners, walls) to ensure tamper resistance, while a remote station is positioned for easy maintenance access. The device communicates physiological data remotely, eliminating the need for physical access during operation
3Reliability
If multiple sensors are integrated in a compact device, then monitoring comprehensiveness is improved, but device complexity increases
Solution Approach 1:
The patent combines three distinct sensor types (thermal camera for temperature, ultrasonic sensor for breathing rate, microwave sensor for heart rate) into a single integrated smart electronic device with a unified housing, allowing comprehensive physiological monitoring while managing complexity through consolidated design
4Measurement precision
If monitoring data is collected continuously, then detection accuracy is improved, but privacy concerns increase
Solution Approach 1:
The system extracts only the essential physiological data (body temperature, breathing rate, heart rate) needed for health monitoring while excluding identifying visual or audio information. The sensors are positioned and configured to capture physiological signals without recording images or sounds that would compromise individual privacy
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 continuous, reliable, and privacy-preserving monitoring of individuals' health and behaviors, facilitating timely interventions and reducing disruption, with enhanced detection capabilities for self-harm, destructive behaviors, and medical distress.
Implementation Method 1
one or more thermal cameras configured to generate thermal data of one or more users
Implementation Method 2
one or more ultrasonic sensors configured to analyze sound reflections to detect movement of the one or more users
Implementation Method 3
one or more microwave sensors configured to generate motion data and the physiological data of the one or more users
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring physiological data. In some implementations, a system obtains, from a device, sensor data that includes physiological data of a user monitored by device. The system generates feature data from the obtained sensor data, the feature data configured to be processed by one or more trained machine learning models. The system provides the generated feature data as input to the machine learning models. The system obtains, from the trained machine learning models, output that represents the one or more health or behavioral metrics for the user. The system determines whether the obtained output that represents the one or more health or behavioral metrics for the user satisfies a corresponding threshold value. In response, the system performs an action for the user to mitigate the output that represents the one or more health or behavioral metrics.