Location Data Validation Using Multi-Source Feedback Collection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing location data collection systems suffer from noise due to poor GPS reception, sensor inaccuracies, and lack of comprehensive place databases, leading to unreliable location data.
Innovation Solution
A data collection system that validates location data through user surveys, third-party sources, sensor measurements, and user activity, incorporating an analytics agent with an API for easy integration, which collects and processes data to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS and sensor data are collected for location tracking, then location information is obtained, but noise and inaccuracy increase due to poor reception and sensor limitations
Solution Approach 1:
The patent combines multiple independent location data sources (GPS, Wi-Fi, cellular towers, sensor data) into a unified location determination system. By merging these diverse sources, the system compensates for the weaknesses of individual sources and achieves more reliable location tracking even when GPS reception is poor.
Solution Approach 2:
The system implements feedback mechanisms where location data from multiple sources is continuously collected, analyzed, and used to refine and validate location estimates. Survey responses and third-party data provide feedback loops that help correct inaccuracies and improve overall location determination accuracy over time.
2Reliability
If multiple data sources are integrated to validate location data, then accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the complex data collection system into distinct modular components: GPS module, Wi-Fi module, cellular module, sensor module, and survey module. Each component independently collects data from its specific source, and the results are integrated by a location determination service. This segmentation makes the complex system more manageable and maintainable.
Solution Approach 2:
The location determination service acts as an intermediary that receives data from multiple independent sources, processes and validates the information, and produces a unified location estimate. This intermediary layer simplifies the integration complexity by providing a standardized interface between diverse data sources and the application layer.
3Measurement precision
If user surveys and third-party data are collected, then location validation improves, but data collection time and user interaction increase
Solution Approach 1:
The system implements optional survey participation where users can choose to provide location validation data through surveys. Not all users are required to complete surveys, and the system can function with partial survey data. This partial action approach gathers sufficient validation data from willing users without requiring universal participation, thus reducing overall time loss.
Solution Approach 2:
The system allows users to voluntarily participate in location validation surveys at their convenience. Users self-select whether to provide additional location data, and the system processes this optional input without mandating time-consuming interactions. This self-service approach minimizes user time investment while still gathering valuable validation data.
Data Source
AI summary
A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.