Virtual Geographic Zone Tracking Using Pre-calculated Equations
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Solution Overview
Problem
Existing location-based systems fail to accurately create and manage customizable virtual geographic zones for tracking users or employees, leading to inaccuracies and inefficiencies in monitoring movements within defined spaces.
Innovation Solution
A system and method that utilize a network, server, supervisor device, and user device to define and track virtual geographic zones and sub-zones, allowing for real-time location monitoring and execution of supervisor-defined actions based on user device location, using navigation services and zone equations to determine engagement with specific zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing location-based systems are used, then basic tracking functionality is provided, but accuracy in creating and managing virtual geographic zones is insufficient
Solution Approach 1:
The system pre-calculates and stores zone equations for virtual geographic zones before tracking begins. These equations define the geometric boundaries and engagement conditions in advance, allowing the system to quickly determine zone engagement without complex real-time calculations, thereby improving both accuracy and responsiveness of location tracking.
Solution Approach 2:
The system uses configurable parameters such as radius, center coordinates, and engagement distance to define virtual zones. By allowing these parameters to be modified, the system can adapt to different tracking scenarios and customize zone definitions while maintaining mathematical precision through equation-based boundaries.
2Adaptability or versatility
If virtual zones are made highly customizable, then adaptability improves, but system complexity increases
Solution Approach 1:
The system creates simplified mathematical representations (copies) of complex geographic zones using equations. Instead of managing complex boundary definitions and geometric calculations, the system uses equation-based models that capture the essential engagement conditions, reducing computational complexity while maintaining customization capability.
Solution Approach 2:
The system manages complexity by using a standardized set of parameters (center coordinates, radius, engagement distance) that can be adjusted to create different zone types. This parameter-based approach allows high adaptability without increasing fundamental system complexity, as the same mathematical framework handles all zone configurations.
3Productivity
If real-time location monitoring is implemented, then supervision efficiency improves, but energy consumption increases
Solution Approach 1:
The system pre-calculates zone equations and engagement conditions before tracking begins. This preliminary preparation allows the real-time monitoring to simply evaluate pre-defined mathematical conditions rather than performing complex geometric calculations continuously, reducing energy consumption while maintaining real-time supervision capability.
Solution Approach 2:
The system monitors location continuously but only triggers actions when zone engagement conditions are met. By using partial action (monitoring always, acting selectively), the system maintains supervision efficiency while avoiding unnecessary energy expenditure on processing and communication when no zone events occur.
Data Source
AI summary
A system and method for user interaction includes a network, a server connected to the network, a supervisor device receiving information from a global positioning system and connected to the network, a user device receiving information from the global positioning system and connected to the network. The supervisor, having the supervisor device, defines a set of virtual geographic zones and sub-zones in which the user device is tracked, and saves the set of virtual geographic zones and sub-zones to a supervisor account on the server. The user downloads a user application, sets-up a user account, and downloads the set of virtual geographic zones and sub-zones. As the user, having the user device, moves through the virtual geographic zones and sub-zones the location of the user device is determined and a set of supervisor-defined actions are executed on the user device based on the location of the user device.