Method for determining data representative of emergency situations, and corresponding system and program
A neural network-based system for real-time analysis of emergency communication channels addresses the limitations of manual monitoring, enhancing dispatcher efficiency and emergency response effectiveness by identifying critical situations and adapting to dispatcher preferences.
WO2026125621A1 Publication Date: 2026-06-18STREAMWIDE
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- STREAMWIDE
- Filing Date
- 2025-12-11
- Publication Date
- 2026-06-18
AI Technical Summary
⚠Technical Problem
Existing communication systems for emergency response teams rely heavily on manual channel monitoring by dispatchers, which is time-consuming and prone to missing critical events due to information overload, especially in complex situations involving multiple teams.
⚗Method used
An audio signal processing system using neural networks to analyze multiple communication channels in real-time, identifying critical situations and alerting dispatchers through a monitoring console, with a self-learning capability to adapt to dispatcher preferences and environments.
🎯Benefits of technology
Enhances dispatcher monitoring capacity, reducing the risk of missing emergencies and improving intervention responsiveness by efficiently prioritizing critical channels.
✦ Generated by Eureka AI based on patent content.
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Abstract
The invention relates to a method and system for determining emergency situations based on audio signals received from a set of transmission channels used by a set of intervention teams, the method and system comprising at least the implementation of the following steps: - acquiring (S01) an audio signal from a current transmission channel from among the set of transmission channels; - processing (S02) the audio signal, comprising: carrying out sampling at a predetermined frequency; segmenting the sampled signal according to a predetermined interval, delivering a sequence of audio segments; and, for each audio segment, extracting spectral features, delivering a sequence of segments of spectral features; - determining (S03) a first datum representative of an emergency situation on the current transmission channel on the basis of the sequence of segments of spectral features of the audio signal.
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