Vehicle Face Recognition Authentication System
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Solution Overview
Problem
Current intelligent vehicle systems lack efficient methods for secure and network-independent user authentication and state monitoring, particularly for controlling vehicle access and ensuring safe driving conditions.
Innovation Solution
A vehicle control method and system that uses face recognition technology to authenticate users by matching pre-stored face images with real-time images, allowing access control and monitoring user states such as fatigue and distraction without relying on network connectivity, enabling secure and safe vehicle operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face recognition technology is used for user authentication, then security and reliability of vehicle access control is improved, but device complexity increases due to additional sensing and processing components
Solution Approach 1:
The patent uses face images as an intermediary for authentication. Instead of direct credential verification, the system captures face images, extracts features, matches them against stored templates, and uses the match result to control vehicle access. This intermediary approach enhances security while maintaining a user-friendly interface.
Solution Approach 2:
The patent replaces traditional mechanical authentication methods (keys, cards, biometric scanners) with a camera-based face recognition system. The photographing component captures optical information, which is then processed through feature extraction and matching algorithms to replace physical authentication mechanisms, reducing mechanical complexity while improving reliability.
2Reliability
If real-time face recognition and state monitoring are implemented, then driving safety is improved by detecting fatigue and distraction, but use of energy increases due to continuous processing requirements
Solution Approach 1:
The system implements periodic monitoring by capturing face images at intervals during driving and processing them to detect fatigue and distraction states. Instead of continuous high-power processing, the system periodically activates the photographing component and processing units, reducing overall energy consumption while maintaining safety monitoring effectiveness.
Solution Approach 2:
The system performs partial processing by focusing only on specific facial features and states relevant to safety (eye closure, yawning, gaze direction) rather than analyzing all image data. This selective approach reduces computational load and energy consumption while maintaining adequate monitoring capability.
3Reliability
If network-independent authentication is implemented using pre-stored face images, then reliability is improved by eliminating network dependency, but loss of information occurs when updates to user data cannot be synchronized
Solution Approach 1:
The system performs preliminary actions by storing face image templates and user authentication data in the vehicle's local storage before network disconnection occurs. This pre-stored data enables authentication to proceed without network dependency, ensuring reliability. The system prepares the authentication database in advance so that face recognition can function autonomously.
Solution Approach 2:
The system creates local copies of user face images and authentication data stored in the vehicle, separate from cloud-based originals. These copies enable offline authentication by comparing captured face images against locally stored templates. While this may cause data desynchronization, it ensures authentication reliability when network connectivity is unavailable.
4Adaptability or versatility
If multiple vehicle control functions are integrated (access control, driving rights, refueling, charging), then adaptability and versatility are improved, but device complexity increases due to multiple control mechanisms
Solution Approach 1:
The patent implements a universal authentication system where a single face recognition mechanism controls multiple vehicle functions including access control, driving rights authorization, refueling access, and charging permissions. Instead of separate authentication systems for each function, one multi-functional authentication framework handles all vehicle operations, reducing overall system complexity while enhancing versatility.
Solution Approach 2:
The system merges multiple control functions (door locking, ignition authorization, fuel cap release, charging port access) into a unified control architecture that all operates through the same face recognition authentication flow. By combining these previously separate control mechanisms into one integrated system, the patent reduces complexity while maintaining comprehensive vehicle functionality access.
Data Source
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AI summary
Embodiments of the disclosure disclose vehicle control method and system, vehicle-mounted intelligent system, electronic device, and medium. The method includes: acquiring a face image of a user currently requesting to use a vehicle; acquiring a feature matching result between the face image and at least one pre-stored face image in a data set of the vehicle, where the data set stores pre-stored face images of at least one pre-recorded user allowed to use the vehicle; and if the feature matching result indicates that the feature matching is successful, controlling actions of the vehicle to allow the user to use the vehicle. The embodiments of the disclosure guarantee the rights of pre-recorded personnel based on feature matching, and can achieve feature matching without a network, thereby overcoming the dependency on the network and further improving the safety guarantee of the vehicle.