Sensor-Based Emergency Triggering for Faster Incident Response
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Solution Overview
Problem
Existing systems fail to immediately trigger emergency responses when incidents occur without immediate 911 calls due to pre-programmed event detection limitations, leading to delayed first responder deployment.
Innovation Solution
A computing device and method that generate an alarm-escalating trigger based on sensor data analysis, allowing for automatic initiation of emergency incident response workflows without requiring immediate 911 calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional pre-programmed alarm systems are used, then specific predefined events can be detected, but events not included in the predefined list are omitted
Solution Approach 1:
The system uses a language model that can process and interpret multiple types of sensor data (audio, video, text) to generate triggers for various emergency events. Instead of requiring separate pre-programmed detectors for each event type, a single multi-functional language model analyzes diverse inputs to identify different incident types including fires, crimes, and natural disasters.
Solution Approach 2:
The system changes the parameter of event detection from fixed predefined categories to dynamic language-based classification. The language model can adapt its interpretation based on the semantic content of sensor data, allowing it to recognize events based on described characteristics rather than rigid predefined parameters.
2Loss of time
If witnesses immediately call 9-1-1, then emergency response can be initiated quickly, but witnesses may be unavailable or unable to report
Solution Approach 1:
The system performs preliminary detection and analysis of sensor data to identify potential emergency events before a 9-1-1 call is made. By continuously monitoring environmental sensors and analyzing the data through a language model, the system can detect incidents automatically without waiting for witness reporting.
Solution Approach 2:
The system enables self-service emergency detection where the sensor network autonomously identifies and reports incidents without requiring human witnesses. The language model processes sensor data independently to generate emergency triggers, making the system self-sufficient in detecting events even when no one is present to call for help.
Data Source
AI summary
A computer-implemented method of generating a trigger initiating an emergency incident response workflow and a device implementing the method is disclosed. Emergency notification data associated with at least one emergency notification reporting a first incident is received. Based on the emergency notification data, a first sensor data originating from one or more sensors is retrieved, the first sensor data associated with a time and location of the first incident. At least one alarm-escalating trigger is generated. The alarm escalating trigger comprises an alarm-escalating condition and a first-type emergency incident response workflow, the alarm-escalating condition being based on at least a portion of the first sensor data. The alarm-escalating trigger, when implemented by an implementing device, triggers the first-type emergency incident response workflow in response to receiving a second sensor data originating from one or more implementing sensors, the second sensor data meeting the alarm-escalating condition.