Mobile Location Assignment via Beacon Proximity and ML

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Solution Overview

Problem

Determining high-value geographic locations such as home and work locations for mobile device users without direct input, as mobile applications do not utilize cookies and existing methods struggle to accurately track physical locations using latitude and longitude coordinates.

Innovation Solution

The Reveal™ system employs a proximity activation system, machine learning algorithms, and a point rank algorithm to analyze startup events and geographic data from mobile devices, using Received Signal Strength Indication (RSSI) and clustering techniques to determine and refine location accuracy, assigning home and work locations based on patterns and confidence thresholds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If mobile applications do not utilize cookies for tracking, then user privacy and data security are improved, but the ability to track physical locations and determine high-value geographic locations deteriorates

Engineering Contradiction:

Improveuser privacy and data securityVSAvoidphysical location tracking capability

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent introduces a proximity activation system with beacons as an intermediary between the mobile device and location tracking. Instead of direct cookie-based tracking, the system uses Bluetooth beacons that emit signals which the mobile device detects to determine proximity and location, thereby maintaining privacy while enabling location tracking

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the traditional web-based cookie tracking mechanism with a wireless communication-based proximity detection system. The machine learning algorithm processes signals from beacons and GPS data to determine locations, substituting the mechanical cookie system with a modern wireless sensing approach

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Quantity of substance

If existing methods use latitude and longitude coordinates to track physical locations, then location data can be collected, but the accuracy of determining high-value geographic locations such as home and work locations deteriorates

Engineering Contradiction:

Improvelocation data collectionVSAvoidaccuracy of high-value location determination

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the machine learning algorithm continuously processes location data, proximity signals, and temporal patterns to refine location determinations. The system receives feedback from multiple data sources and adjusts its predictions to improve accuracy in identifying home and work locations

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent transforms raw location parameters (latitude and longitude) into meaningful high-value location identifiers by applying machine learning algorithms that analyze patterns in temporal and spatial data. The system changes parameters from simple coordinates to contextualized location meanings based on usage patterns and proximity signals

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the system analyzes startup events and geographic data to determine locations, then location accuracy is improved, but the complexity of the system increases

Engineering Contradiction:

Improvelocation accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent designs the Reveal system to perform multiple functions through a unified architecture. The same machine learning algorithm processes various data types (startup events, proximity signals, geographic coordinates, temporal patterns) to serve multiple purposes including location determination, user profiling, and targeted advertising, thereby reducing overall system complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Accurately identifies and assigns high-value geographic locations with increased confidence over time, enabling targeted marketing and advertising by predicting user behavior and intent based on home and work locations, improving customer engagement and retention.

Implementation Method 1

Methodology Applied

Scientific EffectElectromagnetic radiation detection: Electromagnetic Induction

Data Source

PatentUS10674473B2Determining high value geographic locations

Publication Date: 2020.06.02 SCHRADER ANDREW

AI summary

The present invention is a method and system of determining and assigning a geographic location such as a work or home location to the owner or user of a mobile device. Mobile devices such as smart phones, tablets, internet computers, and other hand held mobile devices may be preferentially targeted for delivery of advertising messages based upon the geographic location of the owner or user of the mobile device. The home or work location is determined based upon startup events associated with the mobile device as tracked by startup activations of the mobile device, beacon activations, tile activations, or any other Bluetooth or near field communication device activation, during either day time or night time hours.