Vehicle Face Registration Controller Adverse Condition Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing face authentication systems in vehicles often register inappropriate face images due to adverse conditions, leading to inaccurate authentication and increased effort in re-registration, as users are not informed about the reasons for failed registrations.
Innovation Solution
A face registration controller for vehicles, comprising a face image obtaining unit, an adverse condition determination unit, and a notification control unit, which identifies and notifies users of adverse conditions such as masked or partially obscured faces, and provides solutions to rectify these issues, ensuring only suitable images are registered for authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic face image registration is performed without adverse condition checking, then registration speed is improved, but authentication accuracy deteriorates due to inappropriate images being registered
Solution Approach 1:
The system performs preliminary adverse condition determination before face image registration. The adverse condition determination unit checks whether the captured face image meets registration criteria (proper lighting, face visibility, angle) before the registration unit stores the image. This preliminary check prevents inappropriate images from being registered, ensuring authentication accuracy while maintaining automatic registration speed.
2Reliability
If adverse condition checking is added to the registration process, then authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The adverse condition determination unit utilizes the existing face image data already captured by the imaging device for registration purposes. Instead of requiring separate detection devices, the system analyzes the same face image for both registration suitability and authentication, making the system more universal and reducing overall complexity despite adding the determination function.
Solution Approach 2:
The system automatically determines adverse conditions and identifies their types without requiring manual intervention or external devices. The adverse condition determination unit self-evaluates the face image quality and automatically categorizes issues (lighting, angle, occlusion), enabling the system to serve itself in maintaining authentication accuracy.
3Ease of operation
If face images under adverse conditions are registered anyway, then ease of operation is improved, but loss of information increases due to poor quality authentication data
Solution Approach 1:
When the adverse condition determination unit identifies that a face image falls under an adverse condition, the notification control unit provides feedback to the user through notifications. The system informs users of the specific issue (lighting problems, incorrect angle, face occlusion) and guides them to retake the photo, ensuring only high-quality images are registered while maintaining ease of operation through clear guidance.
Data Source
AI summary
A face registration controller includes a face image obtaining unit, an adverse condition determination unit, a notification control unit, and a registration unit. The face image obtaining unit obtains a face image of an occupant. The adverse condition determination unit determines whether the face image falls within one of adverse conditions for a face authentication and identify a type of the one of the adverse conditions. The notification control unit notifies, when the face image falls within the one of the adverse conditions, at least one of the type of the one of the adverse conditions and a solution devised in accordance with the type. The registration unit resisters the face image as an authentication image when the face image does not fall within the adverse conditions and refrains from registering the face image when the face image falls within the adverse conditions.