Proximity-Based Emergency Alerting With Weighted Responder Matching
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Solution Overview
Problem
Current emergency response systems face challenges due to overstretched first responder dispatch systems, leading to delayed responses, especially in urban areas where delays can exceed an hour, posing a critical risk to individuals in distress.
Innovation Solution
A multi-faceted emergency response service that combines real-time check-ins with a flexible proximity-based response mechanism, allowing users to create accounts, check-in periodically, and trigger a search for nearby responders if they fail to respond, utilizing a weighted combination of proximity, recentness of location updates, and affiliations to prioritize responders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional first responder dispatch systems are used, then emergency responses are provided through official channels, but response times become excessively long (over an hour in urban areas)
Solution Approach 1:
The patent introduces a digital platform as an intermediary between distressed users and potential responders. This platform matches users with nearby volunteers who have the application installed, creating a new communication channel that bypasses the overloaded traditional dispatch system. The intermediary platform processes location data, computes proximity values, and coordinates responses without replacing official emergency services entirely.
Solution Approach 2:
The system performs preliminary actions by pre-registering and pre-positioning potential responders throughout the service area. Users who install the application become potential responders in advance, with their location data continuously updated. When an emergency occurs, the system can immediately identify and notify the nearest pre-qualified responders, eliminating the need for real-time recruitment or dispatch coordination.
2Ease of operation
If personal contacts are alerted in existing non-governmental systems, then some assistance may be provided, but contacts often lack proximity or training to respond effectively
Solution Approach 1:
The system enables self-service by allowing any user to become a potential responder by simply installing the application. No special training, certification, or manual registration is required beyond the initial app installation. The system automatically tracks location, computes proximity to distressed users, and manages the matching process, enabling ordinary citizens to serve as responders without requiring them to actively maintain responder status.
Solution Approach 2:
The patent changes the key parameter for responder selection from social relationship (personal contacts) to spatial parameter (physical proximity). By computing proximity values based on location data and selecting responders based on their closeness to the distressed user, the system transforms the selection criterion from a static social graph to a dynamic spatial metric that can be rapidly evaluated and updated.
3Reliability
If a comprehensive screening process is implemented for responders, then responder quality improves, but system complexity and time to deploy responders increases
Solution Approach 1:
The system applies partial screening by requiring only minimal initial registration (app installation and location permissions) rather than comprehensive background checks, training verification, or credential validation. This partial action approach enables rapid deployment of a large pool of potential responders, with the understanding that not all registered users will be equally effective. The system accepts excessive registration to ensure adequate coverage, then uses proximity-based matching to select the most suitable responders for each incident.
Data Source
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AI summary
An example embodiment may involve: determining that a requester device is in a state for a response; based on the requester device being in the state for the response, determining respective values for each of a plurality of potential responder devices, wherein for a particular responder device of the potential responder devices, a particular value is based on a weighted combination of: physical distance between the requester device and the particular responder device, temporal recentness of location updates received from the particular responder device, and similarity of affiliations of the requester device and the particular responder device; determining that the particular value for the particular responder device meets a threshold criterion; and transmitting a notification to the particular responder device indicating that a responder associated with the particular responder device should provide the response to a requester associated with the requester device.