AI Emergency Notification System for Radio Dispatch Analysis
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Solution Overview
Problem
Operations centers, such as GSOCs, often remain unaware of emergency incidents that result in 911 calls within the areas they oversee, leading to delayed resource allocation and potential increased risk for first responders.
Innovation Solution
The implementation of an AI-based emergency notification system that utilizes radio-based dispatches to provide real-time emergency alerts to operations centers, including location extraction and phonetic analysis to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If operations centers rely on traditional communication methods, then system complexity remains low, but information timeliness deteriorates causing delayed emergency awareness
Solution Approach 1:
The patent introduces an AI-based intermediary system that sits between radio dispatches and operations centers. This intermediary automatically transcribes, analyzes, and routes emergency information, eliminating the need for manual monitoring while keeping the overall system architecture relatively simple through standardized interfaces
Solution Approach 2:
The patent replaces manual mechanical processes (operators listening to radio frequencies and manually logging emergencies) with automated AI technology. Speech-to-text transcription and natural language processing automatically extract emergency details from radio communications, significantly improving information awareness without requiring complex human-operated systems
2Loss of time
If manual monitoring of radio dispatches is used, then system cost remains low, but response time deteriorates causing delayed resource allocation
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and pre-processing radio dispatches in real-time. AI models are pre-trained and ready to immediately transcribe and analyze emergency communications as they occur, ensuring rapid detection and notification without manual intervention delays
Solution Approach 2:
The notification system serves itself by automatically detecting emergencies from radio traffic, extracting relevant information through AI analysis, and routing notifications to appropriate operations centers without requiring external manual processing. The system autonomously manages the entire workflow from detection to notification
3Measurement precision
If AI-based analysis with phonetic analysis is implemented, then location extraction accuracy improves, but processing complexity increases
Solution Approach 1:
The patent applies parameter changes by transforming audio signals into phonetic representations and using phonetic analysis as an additional parameter for location verification. This allows the system to handle various accents, dialects, and speech qualities while maintaining high extraction accuracy through multi-parameter analysis
Data Source
AI summary
An emergency response data system (ERDS) provides artificial intelligence (AI)-based emergency notifications to operations centers using radio-based dispatches from emergency communications center (ECC). The ERDS receives audio data of a radio-based dispatch of first responders to a location of an initiated emergency communication. The ERDS provides the audio data to an AI model with a prompt to transcribe the audio data into a radio dispatch transcript. The ERDS provides the radio dispatch transcript to the AI model with a prompt to analyze the radio dispatch transcript to extract a location of the initiated emergency communication from the radio dispatch transcript. The ERDS provides an AI-based emergency notification to an emergency response application that is operable to display the AI-based emergency notification on an operations center computing system. The AI-based emergency notification includes the location of the initiated emergency communication.