Mobile Hub Device ID Tracking for Incident Correlation
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Solution Overview
Problem
Law enforcement agencies face challenges in identifying and tracking mobile devices associated with potential suspects or persons of interest who may be present at multiple incident locations, as existing technologies are not effectively correlated to provide comprehensive incident data association and correlation.
Innovation Solution
Implementing mobile device identifier tracking techniques using mobile hubs operated by law enforcement officers, which detect and correlate Bluetooth, Wi-Fi, and cellular device IDs at specific geolocations, allowing for the identification of suspicious devices and association with incidents through a network operation center application, enabling real-time data collection and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mobile device ID tracking is implemented using mobile hubs and NOC application, then incident data association and correlation capability is improved, but device complexity and system infrastructure requirements increase
Solution Approach 1:
The system is divided into multiple mobile hubs (vehicle-mounted and body-worn) that independently detect and track mobile device IDs, with each hub operating autonomously. The NOC application then aggregates data from these segmented sources to achieve comprehensive incident correlation without requiring a monolithic complex system
Solution Approach 2:
Mobile hubs are designed to perform multiple functions: detecting mobile device IDs, determining geolocations, tracking movements, and generating alerts. This multi-functionality reduces the need for separate specialized devices, thereby managing system complexity while improving incident data association capabilities
2Adaptability or versatility
If multiple electronic devices are carried by law enforcement officers, then functional capabilities for protecting and serving the public are improved, but difficulty in correlating data from independent devices increases
Solution Approach 1:
Data from multiple independent electronic devices (body cameras, smartphones, radios, sensors) is merged through the NOC application, which correlates incident data across all devices using mobile device ID tracking. This combining approach maintains the versatility of individual devices while solving the correlation problem through unified data processing
Solution Approach 2:
The NOC application serves as an intermediary that receives data from multiple independent law enforcement devices, processes it through mobile device ID correlation, and produces integrated incident reports. This mediator role simplifies the correlation task by providing a centralized processing layer between diverse devices and final analysis
Data Source
AI summary
Multiple mobile device identifiers (IDs) of mobile devices and corresponding geolocations of the multiple of mobile device IDs are received from multiple mobile hubs during a time period. A selection of an incident that occurred at a particular geolocation at a particular date and time is then received. One or more mobile hubs of the multiple mobile hubs that were present within a selected geographical zone that includes the particular geolocation during a selected time frame that includes the particular date and time are identified based on at least one corresponding mobile device ID of the one or more mobile hubs. Sensor data obtained by at least one user device communicatively connected to the one or more mobile hubs of the multiple hubs are then associated with the incident.