Condition-Sensor Monitoring for Automatic Personal Safety Alerts
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Solution Overview
Problem
Traditional monitoring systems require manual initiation by a user to send an emergency signal, which is not feasible in surprise assaults, and they are limited to notifying monitoring bodies without user notification or additional actions.
Innovation Solution
A computer-implemented method using a condition sensor to detect emergency conditions automatically, such as proximity of objects, and triggers alarms or alerts for the user and sends signals to monitoring networks, including non-user devices like cameras and drones for assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual initiation is required to send emergency signal, then system complexity is reduced, but response time and reliability deteriorate in surprise assaults
Solution Approach 1:
The system performs preliminary actions by continuously monitoring conditions and pre-positioning emergency response capabilities before an emergency occurs. Sensors continuously detect conditions and the system is ready to automatically trigger emergency signals without requiring manual user action, thus improving reliability while maintaining acceptable complexity through automated preliminary monitoring.
Solution Approach 2:
The monitoring system serves itself by automatically detecting emergency conditions and triggering alerts without requiring user intervention. The system monitors its own operational environment and autonomously initiates emergency signaling when predefined conditions are met, eliminating the need for manual initiation while managing complexity through self-contained automated logic.
2Adaptability or versatility
If only monitoring body notification is provided, then device complexity is minimized, but user awareness and additional response actions are lost
Solution Approach 1:
The system achieves multi-functionality by simultaneously performing multiple response actions: notifying the monitoring body, alerting the user through local alarms, and activating support systems such as cameras and drones. This universal response capability improves adaptability by handling various emergency scenarios while managing complexity through integrated multi-functional modules.
Solution Approach 2:
The response system is segmented into independent functional modules that can be activated based on emergency type and severity. These modules include user notification subsystems, monitoring body communication subsystems, and support system activation subsystems. This segmentation allows versatile responses while managing complexity by enabling selective activation of only necessary functions for each emergency situation.
3Loss of time
If automatic condition detection is implemented, then response time is improved, but measurement precision requirements and device complexity increase
Solution Approach 1:
The system applies partial monitoring by focusing sensors and detection resources on specific critical conditions rather than attempting to measure all possible parameters with high precision. This approach enables automatic detection and rapid response to emergencies while reducing the burden of achieving exhaustive measurement precision across all potential variables, thus improving response time while managing detection complexity.
Data Source
AI summary
A computer-implemented method for monitoring a condition of a person includes receiving, at a computerized device, at least one signal from a condition sensor and determining if a condition is an emergency condition of a user based on the at least one signal.