Tiered Security Analysis for Passive Identity Tracking
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Solution Overview
Problem
Existing security systems require users to actively provide identification, such as entering codes or wearing badges, which can be inconvenient and may not accurately identify individuals.
Innovation Solution
A security system that uses tiered analysis to identify individuals based on their patterns, including biometric data, electronic device usage, and behavioral patterns, and adjusts its state accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users actively provide identification (entering codes or wearing badges), then the security system can identify individuals, but the convenience is reduced and accuracy may be insufficient
Solution Approach 1:
The system enables individuals to be automatically identified through their electronic devices without requiring active participation. The security system passively monitors electronic device information, communication patterns, and behavioral data to automatically determine identity, eliminating the need for users to manually input codes or wear identification badges.
Solution Approach 2:
The patent replaces traditional mechanical identification methods (keypad codes, physical badges) with electronic and data-based identification. The system uses electronic device metadata, communication patterns, and behavioral analytics to identify individuals, substituting physical interaction with automated electronic analysis.
2Ease of operation
If the security system uses passive pattern recognition, then user convenience is improved, but the system complexity increases
Solution Approach 1:
The security system is divided into multiple independent analysis tiers, each focusing on specific types of data (electronic device information, communication patterns, behavioral analysis). This segmentation allows the complex identification task to be broken down into manageable modules that can be processed separately and then integrated to form a complete identification decision.
Solution Approach 2:
The system adds multiple analytical dimensions to identification by examining electronic device metadata, communication network patterns, temporal behavioral data, and spatial information. This multi-dimensional approach enables accurate passive identification without requiring a single complex analysis method.
3Measurement precision
If the security system monitors multiple data types (biometric, electronic device, behavioral), then identification accuracy is improved, but the loss of information increases
Solution Approach 1:
The system collects more data than traditionally necessary (electronic device information, communication patterns, behavioral data) but processes only the essential portions needed for identification. By gathering excessive information initially and then selectively analyzing relevant portions, the system ensures accurate identification while managing data processing overhead through targeted analysis.
Data Source
AI summary
A method for operating a security system, the method including: receiving an indication of an object in a premises; determining, responsive to receiving the indication, to assign an identity to the object based on the indication; tracking movement of the object on the premises; determining, based on the movement, whether to maintain the identity assigned to the object; and in response to determining not to maintain the identity assigned to the object, generating at least one output by the security system.