Emergency Response Media Evaluation System

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Solution Overview

Problem

Existing emergency response systems struggle to accurately identify potential emergency situations from media data, such as images or videos, especially when eyewitnesses are unsure if the observed signs indicate a real emergency or a false alarm.

Innovation Solution

A method and system for evaluating media data to analyze potential emergency-related objects, determine their confidence values, and classify them, allowing for reliable and swift responses. This involves detecting emergency-related objects, calculating confidence values for their identification and location, and determining if the incident is a known one, thereby distinguishing between real emergencies and false alarms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If rescue personnel are sent to every potential sign of emergency, then response time is reduced, but workload and resource consumption increase significantly

Engineering Contradiction:

Improveresponse timeVSAvoidworkload of rescue professionals

Core Design Contradiction:

Loss of timeVSProductivity

Solution Approach 1:

An automated analysis system acts as an intermediary between eyewitness media data and rescue personnel. The system evaluates media data, calculates confidence values, and filters incidents, allowing rescue teams to respond only to verified emergencies while maintaining rapid response times.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs self-service by automatically analyzing media data, determining emergency relevance, calculating confidence values, and filtering incidents without requiring manual review of every potential emergency, thus reducing rescue personnel workload while maintaining rapid response capability.

Inventive Principle:

Principle #25Self-service

2Reliability

If rescue personnel are sent to verify every potential emergency, then false alarms are reduced, but response time for real emergencies increases

Engineering Contradiction:

Improveaccuracy of emergency identificationVSAvoidresponse time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of media data, calculating confidence values and determining emergency relevance before dispatching rescue personnel. This preliminary filtering ensures that only verified emergencies are sent to rescue teams, eliminating the need for on-site verification of false alarms while maintaining rapid response times.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Manual verification by rescue personnel is replaced with an automated computer-based analysis system that evaluates media data, calculates confidence values, and determines emergency relevance, providing reliable identification without delaying response.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated analysis of media data is implemented, then response efficiency is improved, but system complexity increases

Engineering Contradiction:

Improveresponse efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The analysis system is segmented into distinct functional modules: media data reception, emergency object detection, confidence value calculation, and incident filtering. This modular architecture improves processing efficiency while managing system complexity through organized, independent components.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12211365B2Method and system for emergency responses by evaluating media data

Publication Date: 2025.01.28 ATOS PUBLIC SAFETY LLC

AI summary

A method and system for emergency responses can evaluate media data. An appropriate authority device or system can analyze media data such as a picture provided by an eyewitness' device to determine whether emergency relevant objects are visible in the media data and assigns confidence values to them. Furthermore, the location of the objects and the location of the media data can be determined to verify the authenticity of the possible emergency and to respond with the appropriate emergency response.