Biometric Face Authentication Using Thermal Difference Detection

The patent applies multi-functionality by integrating multiple detection methods (frame detection, color change detection, distance detection, blinking detection, and temperature detection) into a single comprehensive anti-spoofing system. Each detection method targets different types of spoofing attempts, making the system universally effective against pictures, videos, dolls, and other spoofing media.

The patent segments the anti-spoofing process into multiple independent detection stages, where each stage checks for specific characteristics (frame presence, color changes, distance relationships, eye blinking, temperature differences). This segmentation allows the system to systematically evaluate different spoofing vulnerabilities and maintain high reliability across diverse attack vectors.

The system incorporates color change detection as one of multiple detection functions, making it effective against static spoofing media like pictures and dolls while being complemented by other detection methods for dynamic spoofing media like videos.

The patent applies dynamics by making the detection system adaptable to different types of spoofing media. The system dynamically selects and combines multiple detection methods based on the characteristics of the captured image, allowing it to effectively counter both static (color-based) and dynamic (video-based) spoofing attempts.

The patent implements universality by combining distance detection with other detection methods. While distance detection effectively identifies pictures and videos by detecting uniform distance to the background, it is complemented by temperature detection and other methods to also identify dolls that may have varying distance characteristics.

The anti-spoofing process is segmented into multiple independent detection stages, with distance detection being one component. This segmentation allows the system to systematically evaluate different spoofing vulnerabilities and maintain high reliability across diverse attack vectors by combining results from multiple detection methods.

The system applies multi-functionality by integrating blinking detection with temperature detection and other methods. Blinking detection is effective against static spoofing media like pictures and dolls, while temperature detection and other methods provide additional layers of defense against dynamic spoofing media like videos.

The patent makes the detection system dynamic by combining multiple detection methods that respond to different characteristics of spoofing media. The system adapts its detection strategy based on the captured image, using blinking detection for static media and temperature detection for dynamic media, thereby achieving versatile anti-spoofing coverage.

The patent segments the detection process into multiple independent stages, each responsible for checking specific characteristics (frame presence, color changes, distance, blinking, temperature). This segmentation enables high determination accuracy by systematically evaluating multiple anti-spoofing indicators while maintaining manageable system complexity through modular design.

The system achieves universality by integrating multiple detection functions into a unified anti-spoofing framework. This multi-functional approach ensures high determination accuracy across diverse spoofing attempts while maintaining device complexity at acceptable levels through efficient resource sharing and coordinated operation of detection modules.