Electronic Apparatus Dual-Mode Face Detection for Authentication
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Solution Overview
Problem
Existing face authentication systems struggle to maintain security by accurately detecting a user's face orientation after booting, particularly when the user turns away from the forward-facing position, leading to potential unauthorized access.
Innovation Solution
Implement a dual detection mode system with a standard detection mode for initial face detection and a high-precision detection mode for enhanced accuracy, using both RGB and IR sensors, and adjust detection thresholds based on face area reliability to ensure stable face detection and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face authentication is performed only within a limited angle range (±15 degrees) to ensure high detection accuracy, then false authentication is reduced, but the system cannot detect users who turn away from the forward-facing position, leading to unauthorized access risks
Solution Approach 1:
The patent dynamically adjusts the face detection strategy based on operational context. In standby state, the system uses a wider detection angle range to capture users who may be turning away. In operation state, it switches to a more restrictive angle range centered on the forward direction to ensure high authentication accuracy. This dynamic adaptation resolves the contradiction between reliability and adaptability.
Solution Approach 2:
The system changes the detection parameter (angle range) based on the operational state. When transitioning from standby to operation, the acceptable angle range is adjusted from a wider range to a narrower range centered on the forward-facing direction. This parameter change allows the system to maintain high authentication accuracy while adapting to different operational contexts.
2Ease of operation
If the detection angle range is expanded to detect users at various angles, then user convenience is improved, but face authentication accuracy decreases leading to false authentication
Solution Approach 1:
The system dynamically adjusts detection sensitivity and angle range based on operational state. During standby, it uses a more lenient detection mode that accepts a wider angle range for user convenience. During operation, it switches to a stricter mode with narrower angle range and higher accuracy requirements, thus avoiding false authentication while maintaining ease of operation at appropriate times.
3Reliability
If face authentication is continuously performed with high accuracy requirements, then security is maintained, but system responsiveness decreases when users naturally move or turn their heads
Solution Approach 1:
The system performs face authentication periodically based on operational state transitions rather than continuously. It triggers authentication when transitioning from standby to operation state, and periodically during operation state. This periodic approach maintains security while improving responsiveness compared to continuous high-accuracy verification that would slow down system response.
Data Source
AI summary
An electronic apparatus includes: a memory which temporarily stores image data of an image captured by an imaging device; and a processor which executes system processing based on a program of a system and processing using the image data. The processor performs: face detection processing having a first detection mode to detect, with a first detection accuracy, a face area with a face captured therein from the image of the image data stored in the memory, and a second detection mode to detect the face area with a second detection accuracy higher than the first detection accuracy; and first area setting processing to set a first area based on the detected face area when the face area is detected in the second detection mode by the face detection processing.