Wireless Device Identification via Signal Graph Analysis
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Solution Overview
Problem
Conventional home security systems face delays in responding to burglaries, often taking longer than the intruder's presence due to latency in homeowner verification and police dispatch processes, resulting in high failure rates in apprehending perpetrators.
Innovation Solution
A wireless device detection and data analytics powered security monitoring system that uses sensors to identify and track individuals through their electronic devices, providing real-time monitoring, intrusion prediction, and automated reporting to law enforcement, reducing response time and increasing the chances of successful interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional alarm verification and police dispatch processes are used, then procedural thoroughness is maintained, but response time increases beyond the duration of intruder presence
Solution Approach 1:
The system performs preliminary actions by continuously monitoring wireless device signaling data and pre-identifying potential intruders before they commit crimes. Device profiles are created and stored in advance with identifying information, so when an intrusion occurs, the system can immediately report pre-collected device data to law enforcement without waiting for traditional verification processes.
Solution Approach 2:
The patent replaces the mechanical manual verification and dispatch process with an automated electronic system that continuously monitors wireless signaling data. Sensors automatically detect intruder devices, and the system automatically generates and transmits reports to law enforcement, eliminating the need for manual alarm verification and police dispatch procedures.
2Loss of time
If real-time device tracking and automated reporting are implemented, then response time is reduced, but system complexity increases
Solution Approach 1:
The system uses universal wireless signaling data that devices already transmit for normal communication purposes. The same cellular, Wi-Fi, and Bluetooth signaling channels used for everyday device operation are leveraged for security monitoring, eliminating the need for specialized tracking hardware and reducing overall system complexity.
Solution Approach 2:
The system exploits the fact that wireless devices continuously self-transmit signaling data for network registration and maintenance. Intruder devices unknowingly provide their own tracking information through normal cellular and wireless communications, requiring minimal additional infrastructure beyond standard wireless sensors.
3Measurement precision
If wireless sensor deployment is expanded for comprehensive coverage, then detection capability is improved, but cost and installation complexity increase
Solution Approach 1:
The system employs multi-functional sensors that simultaneously monitor multiple wireless signaling protocols (cellular, Wi-Fi, Bluetooth) and perform multiple detection functions. This universal approach allows comprehensive coverage with fewer sensor nodes compared to dedicated single-function detectors.
Solution Approach 2:
The patent uses wireless signaling data as an intermediary that naturally propagates through the environment without requiring direct line-of-sight or physical contact between sensors and targets. This allows sensors to be positioned remotely or concealed, simplifying installation while maintaining detection capability.
Data Source
AI summary
A wireless device identification system including one or more sensors each having at least one software defined radio to receive signals transmitted between one or more wireless devices and a mobile wireless device, one or more processors, and one or more memory devices. The one or more memory devices having stored thereon instructions that when executed by the one or more processors cause the one or more processors to capture cellular information, Wi-Fi information, Bluetooth information, and local network information from the received signals. The instructions can include correlating the captured information to the mobile wireless device by creating a weighted edge relationship graph having a plurality of nodes, including a node corresponding to each of the cellular information, the Wi-Fi information, the Bluetooth information, and the local network information, and determining an association strength between each node of the relationship graph.