Remote Tracking via Location Characteristic Analysis
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Solution Overview
Problem
Current remote tracking technologies require administrators to define specific locations that trigger alerts, which can be ineffective if the administrator is unaware of the location's characteristics, such as an adults-only area, leading to missed alerts.
Innovation Solution
The system allows administrators to set tracking parameters based on location characteristics like business types or event types, using data retrieval to identify and alert on violations, such as a child visiting an adults-only establishment or attending a community event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators define specific locations that trigger alerts, then the system can provide targeted monitoring, but the system fails to detect inappropriate locations when administrators are unaware of location characteristics
Solution Approach 1:
The system automatically retrieves and analyzes location characteristics (business types, event types) without requiring administrator input. The tracking system serves itself by autonomously gathering location data and comparing it against restrictions, eliminating the need for administrators to manually research or define specific location characteristics.
Solution Approach 2:
The system introduces an intermediary layer (location data retrieval and analysis mechanism) between the administrator's simple restriction definition and the actual location monitoring. This intermediary automatically fetches location characteristics and performs the comparison, shielding the administrator from complexity while ensuring accurate detection.
2Productivity
If the system monitors only position data, then the tracking is simple and efficient, but the system cannot identify the nature or characteristics of locations
Solution Approach 1:
The system merges position data monitoring with location characteristic retrieval into a unified tracking process. By combining these functions, the system maintains tracking efficiency while simultaneously capturing location characteristics (business types, event types) without requiring separate manual research steps.
Solution Approach 2:
The system performs preliminary retrieval of location characteristics in advance, storing them for later comparison against restrictions. This preliminary action ensures that when position data is monitored, the characteristic information is already available, preventing information loss while maintaining efficient real-time tracking.
3Measurement precision
If administrators manually research location characteristics, then accurate tracking parameters can be defined, but this process is time-consuming and impractical for unknown locations
Solution Approach 1:
The system replaces the manual mechanical process of researching location characteristics with an automated electronic data retrieval system. Instead of administrators physically visiting or researching locations, the system automatically queries databases to obtain location characteristics, dramatically reducing setup time while maintaining precision.
Solution Approach 2:
The system changes the parameters from requiring detailed administrator knowledge of each location to requiring only simple restriction definitions (e.g., 'no adults-only places'). The complex parameter retrieval and matching is automated, transforming the system from knowledge-intensive to automation-intensive.
Data Source
AI summary
Techniques for remote tracking may be realized as a method including: receiving tracking parameters comprising one or more restrictions, wherein each restriction of the one or more restrictions includes a property other than a position; monitoring a position of a client device; receiving location information for the monitored position of the client device, the location information including one or more properties other than position; and determining that the monitored position of the client device transgresses a restriction of the one or more restrictions, wherein the determination includes determining that location information of the monitored position satisfies a property of the restriction other than position.