Audio-Based Geolocation Identity Verification
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Solution Overview
Problem
Existing authentication methods fail to effectively verify an individual's identity while determining their geographical location, particularly in scenarios where location-based anomalies may indicate fraudulent activity, such as rapid transactions from different geographical areas.
Innovation Solution
An electronic computing device system that receives audio and video data, identifies unique sound and image patterns (fingerprints) correlated with geographical locations using Mel Frequency Cepstral Coefficients (MFCC) and Gaussian Mixture Models (GMM), and verifies identity by matching these patterns with known locations to distinguish standard from anomalous geolocations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (picture ID, password, security code) are used, then identity verification can be completed, but the ability to determine geographical location and detect location-based fraud is lost
Solution Approach 1:
The patent combines multiple authentication factors (biometric data, geographical location, device information) into a unified authentication system. The system merges audio-based location identification with traditional identity verification methods to create a comprehensive authentication approach that simultaneously verifies identity and determines location.
Solution Approach 2:
The authentication system is designed to perform multiple functions: traditional identity verification, geographical location determination, and fraud detection. By making the system multi-functional, it can handle various authentication scenarios including standard logins and suspicious transaction monitoring without requiring separate systems.
2Measurement precision
If audio-based location identification is implemented, then geographical location can be determined, but the complexity of the authentication system increases
Solution Approach 1:
The system uses audio environment data as an intermediary to infer geographical location without requiring direct GPS or location service integration. By analyzing ambient sounds and comparing them against a database of location-specific audio profiles, the system determines location indirectly, reducing the complexity of direct location tracking implementation.
Solution Approach 2:
The patent replaces traditional mechanical or electronic location determination methods (such as GPS receivers or location services) with an acoustic analysis approach. Instead of using hardware-based location tracking, the system uses audio processing and pattern recognition to identify geographical location, substituting a complex hardware system with a software-based acoustic analysis system.
3Reliability
If multiple authentication factors (audio, video, biometric) are collected and analyzed, then fraud detection capability is enhanced, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing audio environment data from various geographical locations in a database before authentication is needed. During the actual authentication process, the system quickly compares the submitted audio data against this pre-prepared database, significantly reducing processing time compared to analyzing audio data from scratch during authentication.
Solution Approach 2:
The authentication system segments the verification process into independent modules: biometric verification, audio-based location identification, and fraud detection analysis. Each module processes its specific data type independently and contributes to the overall authentication decision, allowing for parallel processing and reducing total authentication time.
Data Source
AI summary
An electronic computing device includes a processing unit and system memory. The system memory includes instructions which, when executed by the processing unit, cause the electronic computing device to: receive a communication containing audio data; automatically identify one or more sounds in the audio data of the communication that can be correlated with a geographical location; use the identification of the one or more sounds to identify the geographical location for the audio data; and verify an identity of an individual using the geographic location from the audio data.


