Geofence Association Classifier for Location Measurement Analysis
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Solution Overview
Problem
Existing location measurement systems face challenges with low or inconsistent accuracy and precision, particularly when reconciling user-provided geofence information with location data, necessitating a method to enhance analysis reliability.
Innovation Solution
A system and method for location measurement analysis that includes associating location measurements with geofences using a container management system equipped with location sensors and content sensors, employing a classifier to determine the most accurate geofence association, and training the classifier with a dataset to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If location data of low or inconsistent accuracy and precision is used, then data availability is improved, but measurement precision deteriorates
Solution Approach 1:
A classifier is introduced as an intermediary component that processes location measurements and determines the most likely geofence association. The classifier takes low-precision location data as input and outputs a determined geofence association, effectively mediating between the low-quality input data and the required high-quality output for reliable analysis.
2Adaptability or versatility
If user-provided geofence information is used, then adaptability is improved, but reliability deteriorates due to inability to reconcile with location data
Solution Approach 1:
The system implements feedback by using the classifier to evaluate and reconcile user-provided geofence information against actual location measurements. The classifier learns from the relationship between geofence definitions and location data, providing feedback that improves the reliability of geofence associations while maintaining the adaptability of user-defined geofences.
3Measurement precision
If additional metadata is required for location analysis, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The classifier operates autonomously to determine geofence associations without requiring additional manual metadata input. The system self-services by automatically processing location measurements and making intelligent determinations about geofence associations, thereby improving precision without proportionally increasing complexity through manual data collection requirements.
Data Source
AI summary
A method for location measurement analysis, preferably including associating a location measurement with a geofence by receiving a location measurement, selecting candidate geofences, determining features, and/or classifying the location. A system for location measurement analysis, preferably including a computing system, and optionally including one or more containers and/or one or more location sensors associated with each container.