Vehicle Biometric Authorization With Triggered Profile Updates
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Solution Overview
Problem
Biometric authorization systems face accuracy issues due to changes in user biometric data over time, such as weight gain or loss, age, and hair growth, leading to reduced authentication reliability.
Innovation Solution
A vehicle computer system that updates user data with real-time challenge biometric data when a trigger is detected, using a confidence score to determine when to store and update the data, ensuring accurate authentication and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric data is stored statically without updates, then system complexity is reduced, but authentication reliability deteriorates due to biometric changes over time
Solution Approach 1:
The system transitions from static biometric data storage to dynamic updates. The vehicle computer automatically updates user data with new challenge biometric data when triggers are detected, allowing the system to adapt to biometric changes over time while maintaining authentication reliability.
Solution Approach 2:
The system implements feedback mechanisms by monitoring authentication outcomes and confidence scores. When authentication fails or confidence scores fall below thresholds, the system triggers data updates, creating a closed-loop feedback system that maintains reliability without requiring complex manual intervention.
2Measurement precision
If manual biometric data updates are required, then data accuracy is maintained, but ease of operation deteriorates due to user input requirements
Solution Approach 1:
The system performs self-service by automatically detecting when biometric data updates are needed and executing the updates without user intervention. The vehicle computer monitors authentication results and automatically requests new biometric data when confidence scores indicate updates are necessary, eliminating the need for users to manually initiate updates.
Solution Approach 2:
The system takes preliminary action by proactively detecting triggers that indicate biometric data should be updated, before authentication failures occur. This prevents accuracy degradation by updating data in advance based on confidence score monitoring and trigger detection.
3Measurement precision
If biometric data is frequently updated, then authentication accuracy is improved, but loss of time increases due to continuous data collection
Solution Approach 1:
The system implements periodic updates based on trigger events rather than continuous collection. Updates occur periodically when specific conditions are met (authentication failures, low confidence scores, scheduled intervals), balancing accuracy maintenance with time efficiency by avoiding unnecessary continuous data collection.
Solution Approach 2:
The system changes the update frequency parameter dynamically based on confidence scores and authentication outcomes. Rather than fixed frequent updates, the system adjusts update timing based on measured data quality and authentication performance, optimizing the balance between accuracy and time consumption.
Data Source
AI summary
Upon authorizing a user via challenge biometric data, user data is determined to be updated based on detecting a trigger. Upon detecting the trigger prior to authenticating the user, the user data is updated with the challenge biometric data based on authenticating the user. Upon detecting the trigger after authenticating the user, the user data is updated with updated challenge biometric data based on a confidence score for the second biometric data exceeding a threshold. Structure components are controlled based on the updated user data.