Emergency Communication Network Filtering CB-SMS Responses
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Solution Overview
Problem
Emergency communication systems face challenges in processing large volumes of SMS-CB responses during incidents, leading to delays and potential malevolent information transmission, overwhelming call takers at PSAPs.
Innovation Solution
A computer-implemented method that determines the geolocation of mobile devices, filters CB-SMS responses using machine learning algorithms to identify similar objects, and verifies their accuracy, prioritizing and presenting only valuable data to call takers while eliminating irrelevant and malevolent responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If SMS-CB is used to broadcast emergency messages to mobile phone users in a defined area, then emergency alerts can be sent to multiple users simultaneously, but the call taker at PSAP will be flooded with a large number of CB-SMS responses and cannot handle the increased volume and complexity
Solution Approach 1:
The patent extracts and filters only the most relevant information from the large volume of CB-SMS responses. By using machine learning algorithms to identify and extract critical objects and patterns from the responses, the system separates useful emergency information from irrelevant or malicious data, allowing call takers to focus only on processed and validated responses.
Solution Approach 2:
The patent introduces an intermediary processing layer between the mobile phone users and the call taker at PSAP. This intermediary system automatically processes, validates, and prioritizes CB-SMS responses using machine learning algorithms, acting as a mediator that reduces the information overload on call takers while maintaining effective communication.
2Reliability
If machine learning algorithms are used to filter and analyze CB-SMS responses, then the complexity of responses can be reduced and valuable data can be identified, but the processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-training machine learning models to recognize patterns in emergency responses before actual incidents occur. The system pre-processes and categorizes types of responses, preparing algorithms to quickly identify relevant information during emergency situations, thereby reducing real-time processing time while maintaining high accuracy.
3Loss of information
If CB-SMS responses are used to convey media such as images and video, then more comprehensive information can be transmitted about the emergency incident, but the analysis of media becomes harder and more time-consuming
Solution Approach 1:
The patent replaces manual media analysis with automated machine learning systems that can process images, videos, and other media types from CB-SMS responses. The system uses computer vision and pattern recognition algorithms to automatically detect, identify, and analyze media content, substituting human analytical effort with automated technological processes that are both faster and scalable.
Data Source
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AI summary
The present invention relates to a computer-implemented method of processing an emergency incident reported to a Public Safety Answering Point PSAP (3) by a user of a mobile communication device, the method comprising the steps of: receiving, by a call taker (6) at the PSAP (3), an emergency call initiated by a mobile telecommunication device reporting an emergency incident; determining the geolocation of the mobile communication device; triggering an SMS-CB, wherein SMS messages are sent to mobile communication devices (5) located within a predetermined area around the determined geolocation, receiving a plurality CB-SMS response messages from the mobile communication devices (5), the response messages comprising objects related to the emergency incident; extracting the objects from the respective response messages; performing an object comparison on the extracted objects for determining a similarity of the objects with respect to each other; and verifying if similar objects have been received from co-located mobile communication devices (5). Further, the present invention relates to an emergency communication network, comprising an ESRP (2) connected to a PSAP (3), wherein the ESRP (2) is adapted for carrying out the method of processing an emergency incident.