Powered Vehicle Door Access Using Face and Gait Authentication
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Solution Overview
Problem
Current vehicle systems lack efficient methods to control powered doors based on user identification, failing to provide secure and convenient access by not considering user authentication and location effectively.
Innovation Solution
A vehicle system equipped with powered doors, a transceiver, imaging devices, and a controller that uses facial recognition and gait analysis to authenticate users, allowing doors to open only for authorized individuals detected in proximity, using a combination of mobile device signals and camera-captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional key-based door control is used, then door access is simple to implement, but security and user authentication capability are insufficient
Solution Approach 1:
The door control system is segmented into multiple independent authentication modules: mobile device detection module, facial recognition module, and gait analysis module. Each module operates independently to verify user identity through different biometric or digital signals, allowing the system to maintain high security while managing complexity through modular architecture
Solution Approach 2:
The controller acts as an intermediary that receives authentication data from multiple sources (mobile device transceiver, imaging device for facial recognition, imaging device for gait analysis) and integrates these inputs to make the final door control decision. This intermediary layer manages the complexity by centralizing the authentication logic
2Measurement precision
If multiple authentication methods (facial recognition, gait analysis) are implemented, then user identification accuracy is improved, but device complexity increases
Solution Approach 1:
Multiple authentication methods (mobile device detection, facial recognition, gait analysis) are merged into a single integrated door control system. The controller combines inputs from the transceiver and imaging devices to perform multi-factor authentication, thereby improving user identification accuracy while managing complexity through unified control logic
Solution Approach 2:
The imaging device serves multiple functions: capturing images for facial recognition, analyzing gait patterns, and detecting user presence in door detection zones. This multi-functionality improves identification accuracy without proportionally increasing device complexity by reusing the same hardware component for different authentication purposes
3Reliability
If the system requires both mobile device detection and biometric verification, then security is enhanced, but ease of operation is reduced
Solution Approach 1:
The system performs preliminary authentication by detecting the mobile device in proximity before requiring biometric verification. The controller pre- validates the user's presence and device authorization, so that when the user approaches the door, the authentication process is already partially complete, enhancing security while maintaining convenience
Solution Approach 2:
The authentication requirements are made dynamic based on the detected context. The controller adjusts the authentication flow based on mobile device detection results, facial recognition outcomes, and gait analysis, adapting the verification process to balance security requirements with operational convenience for each user interaction
4Measurement precision
If the system monitors multiple users and opens specific doors based on detection zones, then access control precision is improved, but device complexity increases
Solution Approach 1:
The system implements local quality by assigning different door detection zones to different doors and configuring each zone with specific authentication requirements. The controller determines which door to open based on the user's location within specific zones, providing precise door-level access control while managing complexity through zone-based spatial management
Data Source
AI summary
A vehicle includes a powered door having an actuator to move the door between open and closed positions, a transceiver configured to communicate with one or more mobile devices, and an imaging device oriented to capture images in a region proximate to the powered door. A controller processes the captured images and controls the actuator to move the door to the open position when a mobile device is detected proximate the vehicle and a user is detected in the captured images located in a door detection zone. The controller moves the door to the open position when a face of a user is recognized as an authorized user located in the door detection zone. The controller moves the door to the open position when a gait of the user is detected and identifies the gait are indicative of an authorized user located in the door detection zone.