IoT Geo-Location System for Early Threat Alerting
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Solution Overview
Problem
Existing systems lack efficient means to quickly geo-locate violent acts or urgent medical needs in public spaces, leading to delayed responses and increased harm due to the dynamic nature of threats and the difficulty in alerting and locating responders.
Innovation Solution
A system of dedicated Internet of Things (IoT) devices that geo-locate incidents, alert nearby individuals and responders, and provide real-time location intelligence through a Geographic Information System (GIS) platform, enabling immediate intervention and de-escalation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional emergency response systems are used without real-time location tracking, then device complexity is reduced, but response time increases and measurement precision of threat location deteriorates
Solution Approach 1:
The IoT devices perform multiple functions including location tracking, threat detection, and communication with responders simultaneously, eliminating the need for separate specialized systems and improving location precision without proportionally increasing overall system complexity
Solution Approach 2:
The system automatically tracks and reports threat locations without requiring manual intervention or complex human coordination, with devices self-managing their location data and automatically alerting responders, thus improving measurement precision while keeping operational complexity manageable
2Loss of time
If real-time geo-location tracking of all IoT devices is implemented, then response time improves and location precision increases, but use of energy increases
Solution Approach 1:
The system uses periodic location updates and alert-triggered tracking rather than continuous monitoring, updating device locations at intervals or only when threats are detected, which maintains fast response capability while significantly reducing energy consumption compared to constant real-time tracking
Solution Approach 2:
Location data is pre-cached and prepared in advance, allowing the system to immediately report threat locations without energy-intensive real-time calculation when incidents occur, thus improving response time while managing energy usage through advance preparation
3Reliability
If comprehensive alert systems notify all nearby individuals, then reliability of emergency notification improves, but loss of information increases due to alert fatigue
Solution Approach 1:
The alert system provides customized notifications based on each user's proximity to the threat and their specific needs, with location-aware alerts that only notify relevant individuals, maintaining high reliability for those at risk while avoiding unnecessary alerts to others, thus preserving signal significance
Solution Approach 2:
The system incorporates feedback mechanisms where users can confirm receipt of alerts or indicate their status, allowing the system to adjust notification strategies and reduce redundant alerts, maintaining reliability for critical notifications while reducing alert fatigue and information loss
Data Source
AI summary
An early alert and location intelligence geographic information system (GIS) includes a plurality of Internet of Thing (IoT) devices and a GIS system. The GIS system tracks locations and movements of the IoT devices and is activated when an IoT device signals detection of a threat or an urgent medical need. Based on locations and escalating state changes of the IoT devices, alerts are provided to the IoT devices, and the threat location, a danger zone and a buffer zone are calculated and displayed on a mobile software application. Based on device proximity to the threat location, the GIS system communicates escape directions and shelter guidance to the mobile software applications of those affected. Smart alert escalations are provided as needed to security, law enforcement and medical personnel.