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Liveness Detection (Anti-Spoofing) Technology

Eliminate photo-based hacking of facial recognition. Liveness Detection (Anti-Spoofing) Technology determines whether the face in front of the camera is a real person or a spoof.

Built on technology jointly patented with Panasonic, our Liveness Detection (Anti-Spoofing) Technology is a biometric security core technology that prevents spoofing and hacking in systems such as facial recognition and eKYC (online identity verification). It works with visible-light cameras such as USB webcams and built-in PC cameras, and delivers high-accuracy determination using deep learning. It prevents spoofing through "Fake Face Detection," which can determine liveness from a single frame, and "Action Detection," which uses time-series data to detect specified actions such as blinking and changes in face orientation. By compressing the learning model, we achieve a processing speed of approximately 100 ms per frame even on CPU alone (measured on our Windows machine with an 8th-generation Core i7 CPU). We offer both an SDK and applications. The applications support CSV output and recording as standard, so they can be used beyond real-time verification. Two versions are available: a camera-input version and a file-input version.