Augmented Reality Verification for Transaction Fraud Detection

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Solution Overview

Problem

Current fraud detection systems suffer from low accuracy and require user intervention to confirm fraudulent transactions, leading to false positives and inefficiencies.

Innovation Solution

Utilizing augmented reality (AR) data captured by wearable devices like AR glasses or headphones to verify transaction locations and user actions, enhancing fraud detection systems with machine learning and object recognition to improve accuracy and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated tools are used to detect fraudulent transactions, then productivity is improved, but measurement precision deteriorates

Engineering Contradiction:

Improvetransaction processing speedVSAvoidfraud detection accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent combines multiple data sources including augmented reality data, device sensor data, location data, and transaction data into a unified fraud detection analysis. This merging of diverse data streams enables automated systems to achieve higher detection accuracy by cross-validating information from multiple independent sources simultaneously.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system introduces an intermediary verification layer that uses augmented reality data and device sensors to mediate between the transaction request and the fraud detection decision. This intermediary layer captures environmental context and user behavior data that bridges the gap between automated processing and accurate fraud assessment.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If automated fraud detection tools are used, then productivity is improved, but reliability deteriorates

Engineering Contradiction:

Improvetransaction processing speedVSAvoidfalse positive rate

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements feedback mechanisms where augmented reality data and sensor information continuously validate transaction contexts. The fraud detection system receives real-time feedback from multiple data sources including AR environment data, device orientation, location consistency, and transaction patterns, allowing automated systems to adjust decisions dynamically and reduce false positives through iterative verification.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If user intervention is required for fraud verification, then measurement precision is improved, but productivity deteriorates

Engineering Contradiction:

Improvefraud detection accuracyVSAvoidtransaction processing speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system enables self-service fraud verification by having the user's device automatically capture and transmit augmented reality data, sensor information, and location data without requiring manual user actions. The device itself performs the verification by providing environmental context and behavioral data, allowing automated systems to maintain high accuracy while preserving transaction speed through passive data collection.

Inventive Principle:

Principle #25Self-service

4Measurement precision

If augmented reality data collection is implemented, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improvelocation verification accuracyVSAvoidAR device requirements

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system leverages existing multi-functional capabilities of modern devices, particularly smartphones and AR glasses, that already possess cameras, sensors, GPS, and augmented reality processing abilities. By utilizing these pre-existing multi-functional components for fraud detection purposes, the system achieves high measurement precision without adding dedicated specialized hardware, thus avoiding increased device complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12456123B2Using augmented reality data as part of a fraud detection process

Publication Date: 2025.10.28 CAPITAL ONE SERVICES LLC

AI summary

A fraud detection system may identify a suspected fraudulent transaction based on one or more criteria. The transaction may be associated with a user. Based on identifying a suspected fraudulent transaction, the fraud detection system may receive augmented reality data from an augmented reality device of the user. The fraud detection system may determine, based on the augmented reality data, whether the transaction is fraudulent, and may take an action based on the determination.