Face Recognition Using Infrared and Laser Imaging
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Solution Overview
Problem
Current face recognition technologies in smart terminals lack efficient methods for secure and accurate processing of images, particularly in distinguishing human faces for authentication and feature extraction, especially in varying lighting conditions and security levels.
Innovation Solution
The method involves using a camera system with both infrared and laser cameras to capture speckle and infrared images, which are then processed to obtain depth information and perform human face recognition in a secure execution environment, ensuring high security and accuracy in authentication and feature extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional face recognition methods are used, then the system is simple and easy to implement, but the security level is insufficient and accuracy decreases in varying lighting conditions
Solution Approach 1:
The patent combines multiple imaging modalities (infrared imaging and structured light imaging) into a unified face recognition system. The infrared camera captures thermal radiation patterns while the structured light camera projects and analyzes light patterns, and both are processed together to generate comprehensive depth maps and facial feature data, thereby improving recognition accuracy without requiring separate independent systems
Solution Approach 2:
The patent introduces a secure execution environment as an intermediary layer between the image capture hardware and the face recognition processing. This secure environment acts as a mediator that handles sensitive biometric data processing, ensuring security while allowing the rest of the system to remain relatively simple. The secure environment mediates between the complex hardware requirements and the security requirements
2Reliability
If high security processing is applied to all operations, then security level is maximized, but processing time increases and efficiency decreases
Solution Approach 1:
The patent implements dynamic security processing where the security level is adjusted based on the operation type. Non-sensitive operations use standard processing paths for efficiency, while sensitive operations are routed through the secure execution environment. This dynamic approach allows the system to optimize between security and efficiency depending on the specific task being performed
Solution Approach 2:
The patent segments the face recognition system into different processing paths: a standard processing path for non-sensitive operations and a secure processing path for sensitive operations. This segmentation allows the system to apply high security only where necessary while maintaining efficiency for routine operations, rather than applying uniform high security to all operations
3Measurement precision
If multiple imaging modalities are used, then recognition accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent designs the imaging system with multi-functional components that serve multiple purposes. The infrared camera not only captures thermal patterns for face recognition but also provides illumination-independent imaging capability. The structured light camera serves both depth mapping and facial feature extraction functions. This multi-functionality reduces the need for entirely separate systems for different imaging tasks
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the security and efficiency of image processing by providing accurate human face recognition and authentication, even in non-secure operations, while ensuring high security levels during secure operations, thus improving the overall performance of face recognition systems.
Implementation Method 1
a camera system with both infrared and laser cameras to capture speckle and infrared images
Implementation Method 2
a camera system with both infrared and laser cameras to capture speckle and infrared images
Data Source
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AI summary
A method for processing an image, a device (50) for processing an image, a computer readable storage medium and an electronic device are provided. The method includes: (001) in response to detecting an image capturing instruction, (002) determining a security of an application operation corresponding to the image capturing instruction; and capturing an image corresponding to a determination result based on the determination result.