Emergency Call Routing via Sensor Data Analysis

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Solution Overview

Problem

Joint emergency dispatch centers face challenges in quickly and accurately routing incoming emergency calls due to limited resources, leading to prolonged response times despite the presence of professional dispatchers.

Innovation Solution

A computer-implemented method and system that automatically routes incoming emergency calls to selected dispatch centers based on sensory data analysis from client devices, utilizing sensors integrated into the devices or peripheral devices to identify environment parameters, and applying machine learning algorithms to classify potential emergency events and determine the most suitable dispatch center.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If professional dispatchers manually handle and route incoming emergency calls, then routing accuracy is improved, but response time deteriorates due to limited dispatcher resources

Engineering Contradiction:

Improverouting accuracyVSAvoidresponse time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of sensory data from client devices before the call is fully processed, pre-identifying the appropriate dispatch center so that routing can occur immediately when the call is received, eliminating manual assessment time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the manual mechanical process of dispatcher assessment and decision-making with an automated system that analyzes sensory data (audio, video, text) and automatically routes calls based on algorithmic evaluation of the emergency situation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of time

If the number of dispatchers is increased to handle more calls, then response time is improved, but operational cost deteriorates

Engineering Contradiction:

Improveresponse timeVSAvoidoperational cost

Core Design Contradiction:

Loss of timeVSQuantity of substance

Solution Approach 1:

The system enables self-service by allowing the automated routing system to independently assess emergency calls and determine appropriate dispatch centers without human intervention, making the system self-sufficient in handling the routing decision-making process

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The automated routing system serves multiple functions simultaneously: it analyzes sensory data, assesses emergency severity, determines appropriate dispatch centers, and routes calls - replacing multiple specialized dispatcher roles with a single multi-functional automated system

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If manual assessment of emergency calls is performed, then routing accuracy is improved, but productivity deteriorates due to limited dispatcher capacity

Engineering Contradiction:

Improverouting accuracyVSAvoidcall handling capacity

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system changes the parameters of call assessment by analyzing multiple sensory data parameters (audio characteristics, video content, text messages) simultaneously rather than relying on a single parameter, enabling parallel processing of multiple calls with maintained accuracy

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10242554B2System and method thereof for automatically routing a communication request addressed to a public safety answering point (PSAP) to a suitable dispatch unit

Publication Date: 2019.03.26 CARBYNE LTD

AI summary

A computer implemented method of automatically routing incoming emergency calls to selected emergency dispatch centers, comprising using one or more processors for detecting one or more of a plurality of incoming emergency calls received from one or more client devices, acquiring via a communication network sensory data captured by one or more sensors associated with each client device and monitoring an environment of the client device, analyzing the sensory data to identify one or more environment parameters deduced from the analysis and automatically routing each of the incoming emergency calls to a selected one of a plurality of emergency dispatch centers according to the one or more environment parameters.