Facial Recognition Liveness Detection via Thermal Imaging
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Solution Overview
Problem
Conventional facial recognition systems using 2D cameras struggle to distinguish between real persons and images, leading to security vulnerabilities and inefficiencies, as they often require additional user actions to capture depth information, which is time-consuming and inconvenient.
Innovation Solution
A live facial recognition method that captures visual images and temperature information, using a combination of 2D or 3D cameras and infrared sensors to derive facial features and compare them with a database, while determining if the facial temperature conforms to a live recognition criterion based on predetermined thermal distribution patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional 2D camera facial recognition is used, then the system is simple and fast, but it cannot distinguish real persons from pictures leading to security vulnerabilities
Solution Approach 1:
The patent combines 2D visual image capture with infrared temperature detection into a unified facial recognition system. The temperature detection device is integrated with the image capture device, allowing simultaneous acquisition of both visual and thermal data to distinguish real persons from pictures while maintaining system simplicity
Solution Approach 2:
The patent introduces temperature information as an intermediary parameter to bridge the gap between simple 2D recognition and reliable liveness detection. By using temperature distribution patterns as a mediator, the system can verify real persons without requiring complex depth sensing or user actions
2Reliability
If depth information is obtained through user actions such as head swinging or rotating, then real person identification is improved, but the process becomes time-consuming and inconvenient
Solution Approach 1:
The patent performs temperature-based liveness detection simultaneously with visual image capture, rather than requiring subsequent user actions. The temperature distribution analysis is conducted as part of the primary recognition process, eliminating the need for additional time-consuming user actions like head swinging or rotating
Solution Approach 2:
The system uses the person's own thermal radiation as the detection medium, requiring no active participation from the user. The temperature detection device automatically captures thermal patterns passively, allowing liveness verification to occur without user actions while maintaining speed and convenience
3Reliability
If temperature detection is added to 2D camera system, then the ability to distinguish real persons is enhanced, but device complexity increases
Solution Approach 1:
The patent designs the temperature detection device to serve multiple functions: it detects facial temperature distribution for liveness verification, provides thermal imaging capability, and can potentially monitor environmental conditions. This multi-functionality justifies the added complexity by delivering multiple benefits from a single added component
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 security by accurately differentiating between real and fake faces quickly and conveniently, improving the reliability and speed of facial recognition processes.
Implementation Method 1
temperature information of the person are obtained
Data Source
AI summary
A live facial recognition method and system includes capturing a visual image and obtaining temperature information of a person under recognition, and deriving facial features according to the visual image; comparing the facial features of the visual image with corresponding facial features of a facial feature database to obtain a difference therebetween; determining whether facial temperature conforms to a live facial recognition criterion according to the temperature information, if the difference is less than a predetermined threshold value.