In-Vehicle Camera Driver Authentication via Trusted Mobile Device
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Solution Overview
Problem
Modern vehicles face challenges in seamless driver authentication, particularly when using in-car cameras for face-based identification, as the enrollment process can be cumbersome and may not provide a seamless 'get-in-and-drive' experience, and existing methods may not adequately ensure user privacy and security.
Innovation Solution
A system utilizing a trusted mobile computing device that performs facial enrollment by capturing data in various poses and associates it with a user account, then authenticates unknown users by comparing their feature data to enrolled data, ensuring secure and reliable login operations while maintaining user privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial recognition authentication is implemented using in-vehicle cameras, then driver identification accuracy is improved, but the enrollment process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs facial feature extraction and enrollment data preparation in advance, storing processed feature vectors in the vehicle's computing system before actual authentication is needed. This preliminary processing reduces the time required during actual enrollment and authentication operations.
Solution Approach 2:
The patent introduces a trusted mobile computing device as an intermediary that facilitates the enrollment process. The mobile device captures facial images and works cooperatively with the vehicle system, making the enrollment process more convenient and less time-consuming while maintaining accuracy.
2Speed
If facial feature data is stored in the vehicle computing system for authentication, then authentication speed is improved, but user privacy and data security are compromised
Solution Approach 1:
The patent extracts and stores only essential facial feature vectors in the vehicle system, removing unnecessary personal identifiable information. This extraction approach enables fast authentication while minimizing privacy risks by storing only the mathematical representations needed for comparison.
Solution Approach 2:
The system implements differential privacy techniques that add controlled noise to the stored feature data, ensuring that individual facial characteristics cannot be reconstructed. This local quality modification protects user privacy while maintaining the functional ability to perform authentication comparisons.
3Reliability
If comprehensive facial data is captured during enrollment, then authentication reliability is improved, but the complexity of the enrollment process increases
Solution Approach 1:
The enrollment process is designed to be dynamic and adaptive, adjusting the number and type of facial images required based on lighting conditions, camera quality, and initial recognition confidence levels. This dynamic approach ensures reliable feature capture without requiring a fixed complex sequence of actions from the user.
Solution Approach 2:
The system automatically performs facial feature extraction, quality assessment, and duplicate detection without requiring user intervention beyond positioning their face. The automated processing reduces enrollment complexity while capturing comprehensive facial data for reliable authentication.
Data Source
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AI summary
An example method includes establishing, by a mobile computing device, a connection with a vehicle computing system of a vehicle, receiving, from the vehicle computing system, feature data associated with at least one image of a face of a user of the vehicle, wherein the at least one image of the face is captured by an image capture device included in the vehicle, determining, based on a comparison between the feature data associated with the at least one image of the face of the user and feature data of at least one image of a face of a previously enrolled user, a match between the user of the vehicle and the previously enrolled user, authenticating, based on the match, the user of the vehicle, and sending, to the vehicle computing system, authentication data for the user of the vehicle, wherein the authentication data is indicative of the match.