Wireless Activity Tracking for Security Data Correlation

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Solution Overview

Problem

Conventional security systems face challenges in efficiently identifying and isolating specific segments of security data related to wireless activity, as they lack effective mechanisms to differentiate between normal and abnormal activity, requiring manual searches through extensive video and audio recordings.

Innovation Solution

A method and apparatus that utilize wireless activity tracking to detect mobile devices, generate timestamps, and correlate them with security data, allowing for automatic identification of relevant security data segments and triggering security actions such as notifications or camera reorientation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual search mechanisms are used to locate security data segments, then operators can identify relevant information, but the search process becomes extremely time-consuming and inefficient

Engineering Contradiction:
Improveaccuracy of locating security data segmentsVSAvoidtime required to search through video information
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent introduces wireless activity tracking data as an intermediary that bridges the gap between security events and corresponding video segments. The tracking apparatus captures wireless signatures and timestamps, which serve as a mediator to automatically link security incidents with specific video timeframes, eliminating the need for manual searching through hours of footage.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Quantity of substance

If conventional security systems collect massive amounts of security data, then comprehensive monitoring is achieved, but the ability to quickly identify relevant segments deteriorates

Engineering Contradiction:
Improveamount of security data collectedVSAvoidefficiency of identifying relevant security data
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The patent segments the large volume of security data by creating discrete linkages between wireless activity events and specific video segments. Each wireless signature detection is paired with a timestamp that divides and organizes the continuous video stream into manageable, searchable segments, making it possible to quickly locate relevant data without reviewing entire hours of footage.

Inventive Principle:
Principle #1Segmentation

3Difficulty of detecting and measuring

If motion sensors and video cameras are used to detect activity, then activity detection capability is improved, but the ability to differentiate between authorized and unauthorized activity deteriorates

Engineering Contradiction:
Improvedetection of activity occurrenceVSAvoidinformation about authorization status of activity
Core Design Contradiction:
Difficulty of detecting and measuringVSLoss of information

Solution Approach 1:

The patent makes the wireless activity tracking system multi-functional by enabling it to not only detect the occurrence of activity but also to identify and differentiate between authorized and unauthorized individuals. The system correlates wireless signatures with security zone data and authorization information, allowing a single tracking apparatus to perform both detection and authorization verification functions.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11243965B2Method and apparatus to correlate mobile device wireless activity and security data
Publication Date: 2022.02.08 LENOVO SWITZERLAND INTERNATIONAL GMBH
  • US11243965B2 patent drawing
  • US11243965B2 patent drawing
  • US11243965B2 patent drawing

AI summary

A computer implemented method, apparatus, and computer program are provided. The method is under control of one or more processors configured with executable instructions. The method detects, at a wireless activity (WLA) tracking apparatus, wireless activity of a mobile device in a proximity of a local wireless environment. The method automatically generates a WLA timestamp associated with the detecting the wireless activity of the mobile device and utilizes one or more of the wireless activity and WLA timestamp to identify one or more of a security device and a segment of security data collected by the security device.