Security System Wireless Signal Analysis for Pre-emptive Threat Detection
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Solution Overview
Problem
Current security systems require a sensor trigger to initiate an alarm, failing to identify potential threats before unauthorized access occurs.
Innovation Solution
A security system that receives and analyzes wireless signals from mobile devices to identify known or unknown devices, estimating their distance and transmitting alarm signals based on the signal strength, allowing for pre-emptive alerting without arming the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor trigger is required to initiate an alarm, then false alarms are reduced, but the ability to identify potential threats before unauthorized access is lost
Solution Approach 1:
The system performs preliminary identification and tracking of mobile devices before an alarm condition occurs. By continuously monitoring wireless signals and maintaining a database of known devices, the system prepares threat intelligence in advance, enabling faster response when actual threats materialize without requiring sensor triggers.
Solution Approach 2:
The system implements feedback by continuously analyzing wireless signal data, comparing device identifiers against stored databases, and adjusting alarm decisions based on accumulated information about device behavior patterns, signal strength changes, and location data over time.
2Reliability
If wireless signal monitoring is continuously performed, then threat detection capability is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic monitoring of wireless signals rather than continuous full-power scanning. It selectively activates monitoring based on predetermined time intervals, signal strength thresholds, and activity patterns, reducing energy consumption while maintaining effective threat detection capability.
3Measurement precision
If signal strength analysis is used to estimate distance, then location tracking precision is improved, but system complexity increases
Solution Approach 1:
The system replaces complex physical tracking mechanisms with wireless signal strength analysis. By using the naturally occurring variation in signal strength as a proxy for distance estimation, the system achieves location tracking precision without requiring complex hardware or computational systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables advanced warning of suspicious activity by distinguishing between known and unknown devices, providing customizable alarm levels and location tracking, enhancing security without relying on sensor triggers.
Implementation Method 1
receiving by a security device a wireless signal from a mobile device; determining a signal strength of the wireless signal and using the signal strength to estimate a distance between the mobile device and the security device
Data Source
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Figure 2
AI summary
A security system (10) including a security device (12), the security device including a processor (18), a memory (14) operably coupled to the processor, the memory configured to store a plurality of mobile device identifiers, and a communication device (16) operably coupled to the processor, the communication device configured to transmit and receive communication signals; wherein the processor is configured to operate a program stored in memory, wherein the program is configured to: acquire a mobile device identifier if a communication signal is received for a predetermined duration of time, determine whether the acquired mobile device identifier is one of a plurality of stored mobile device identifiers, and transmit an alarm signal based on the acquired mobile device identifier.