Biometric Authorization with Dual Confidence Thresholds for Vehicles
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Solution Overview
Problem
Biometric authorization systems in vehicles face accuracy issues due to differences in sensor parameters between initial enrollment and vehicle sensors, leading to inconsistent user data and potential unauthorized access.
Innovation Solution
A system that generates user data based on initial enrollment biometric data from a remote computer, authenticates users using a confidence score exceeding a first threshold for limited access, and updates user data with enhanced enrollment biometric data exceeding a higher confidence threshold, improving accuracy and enabling full vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If initial enrollment biometric data is used for user authentication, then user access can be granted quickly, but authentication accuracy decreases due to sensor parameter differences
Solution Approach 1:
The system performs preliminary biometric enrollment at a remote device before vehicle access, storing biometric templates in advance. This allows the vehicle system to skip the enrollment step and directly perform authentication comparisons, achieving fast access while maintaining accuracy through pre-processed biometric data
Solution Approach 2:
The system introduces a confidence score as an intermediary metric between biometric data comparison and authentication decision. The confidence score quantifies match quality, allowing the system to accept lower-confidence matches for quick access while requiring higher-confidence matches for full vehicle operation, thus resolving the speed-accuracy tradeoff
2Ease of operation
If a lower confidence threshold is used for authentication, then access is granted more easily, but security decreases allowing potential unauthorized access
Solution Approach 1:
The system segments authentication into two distinct levels: a first level with a lower confidence threshold for basic access (cabin entry), and a second level with a higher confidence threshold for full vehicle operation. This segmentation allows easy access for legitimate users while maintaining security for critical functions
Solution Approach 2:
Different confidence thresholds are applied to different access levels based on their security requirements. The first threshold (0.5-0.7) suffices for low-risk cabin access, while the second threshold (0.7-0.9) provides enhanced security for high-risk vehicle control functions, optimizing both ease of operation and security reliability for each function
Data Source
AI summary
A first computer and a second computer are each connected to a communication network. User data is generated for a user by the first computer based on receiving, from the second computer, initial enrollment biometric data for the user. The user is authorized by the first computer based on a confidence score for challenge biometric data exceeding a first confidence threshold. Then the user data is updated with updated enrollment biometric data by the first computer based on a confidence score for the updated enrollment biometric data exceeding a second confidence threshold. The second confidence threshold is greater than the first confidence threshold. The initial enrollment biometric data is deleted by the second computer after a predetermined time of receiving the initial enrollment biometric data.