Face Recognition Processor Power Management via Dynamic State Switching
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Solution Overview
Problem
Biometric authentication systems based on face recognition face challenges with heat generation and power consumption due to resource-intensive image analysis and processing, leading to potential hardware damage from increased loads.
Innovation Solution
A method and apparatus where multiple processors are used sequentially for face detection, with a first processor transitioning to an idle state when no face area is detected for a preset time, allowing a second processor to take over, and reverting to active state upon detection, optimizing power usage and reducing heat generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dedicated processor is employed to detect and authenticate face area, then authentication performance is improved, but heat generation and power consumption increase
Solution Approach 1:
The processor dynamically switches between active and idle states based on detection needs. The processor enters active state when face detection is required and transitions to idle state when detection is complete, optimizing power consumption while maintaining authentication performance.
Solution Approach 2:
The system implements periodic detection trials where the processor alternates between active detection phases and idle periods. This periodic operation pattern reduces average power consumption while ensuring authentication performance is maintained during active phases.
2Measurement precision
If image analysis and processing are conducted for face recognition, then authentication capability is improved, but heat generation increases
Solution Approach 1:
The processor dynamically adjusts its operational state based on detection requirements. During active detection periods, full processing capability is utilized for accurate face recognition. During idle periods, the processor reduces activity to minimize heat generation, thus balancing authentication capability with thermal management.
3Productivity
If frequent access of users is handled, then service capability is improved, but power consumption and heat generation increase
Solution Approach 1:
The system handles user access requests through periodic detection trials. The processor activates for detection tasks and returns to idle state between accesses, enabling the system to maintain service capability for frequent users while significantly reducing average power consumption and heat generation.
Data Source
AI summary
A method for biometric authentication based on face recognition, the method includes changing a first processor to an active state to try a detection of face area of a subject for a preset time period with respect to image information of the subject that is successively acquired; changing the second processor to an idle state when the face area is not detected for the preset time period and allowing a second processor in an active state to try a detection of face area; and returning the first processor to the active state and resuming biometric authentication using the detected face area when the face area is detected by the second processor.