Earpiece Authentication Using Ear Biometrics and Unique ID
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Solution Overview
Problem
Existing earpiece authentication systems rely solely on unique identifiers, which can be compromised, leading to incorrect identity verification, as they do not account for the actual person wearing the earpiece.
Innovation Solution
A person authentication system that combines unique identifier data from an earpiece with image data of the wearer's ear, using machine-learned image classifier models to compare anatomical features of the outer and inner ear for accurate identity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only unique identifier data from earpiece is used for authentication, then the authentication system is simple to implement, but the accuracy of identity verification is compromised
Solution Approach 1:
The patent combines two authentication factors: (1) unique identifier data from the earpiece and (2) image data of the wearer's ear captured by image capture devices. This multi-factor approach merges device identification with biometric verification, resolving the contradiction by maintaining implementation simplicity through automated processing while significantly improving identity verification accuracy through correlated analysis of both data types.
2Measurement precision
If multi-factor authentication combining unique identifier and ear image data is implemented, then identity verification accuracy is improved, but the device complexity increases
Solution Approach 1:
The system automatically captures ear image data using image capture devices and performs correlated analysis with unique identifier data through a computing system without requiring manual intervention. This self-service automation reduces the operational complexity burden on users while maintaining the enhanced security benefits of multi-factor authentication.
3Ease of operation
If unique identifier only authentication is used, then the system is easy to operate, but unauthorized access cannot be prevented
Solution Approach 1:
The patent merges device-based authentication (unique identifier from earpiece) with biometric authentication (ear image data) to create a reliable unauthorized access prevention mechanism. The computing system correlates both data types to verify that the earpiece wearer is the authorized user, thereby preventing unauthorized access while maintaining ease of operation through automated processing.
4Measurement precision
If ear image data analysis is added to authentication, then accuracy of identity verification is enhanced, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent replaces manual or complex analytical methods with automated image capture devices and computing systems that use machine-learned image classifier models to detect and measure ear anatomical features. This substitution of automated computational analysis for manual detection significantly reduces the difficulty of analyzing ear image data while enhancing identity verification accuracy through precise measurement of anatomical features.
Data Source
AI summary
A person authentication system is provided. The person authentication system includes one or more image capture devices. The person authentication system includes a computing system. The computing system includes one or more computing devices. The computing system is configured to obtain data indicative of a unique identifier associated with an earpiece worn by a person. The computing system is configured to obtain image data of an ear of the person via the one or more image capture devices. The computing system is configured to authenticate an identity of the person based, at least in part, on the image data and the data indicative of the unique identifier.