Face Liveness Detection

PresentID Facial liveness detection can recognize the person in front of the video is real or fake. It can detect if the user is physically present and prevents masks, photos, or video deepfakes to fool the system. We use the convolutional neural network (CNN) deep learning algorithms to prevent fraud.

Use Cases
Attendance systems
Dating websites
Digital banking
Visitor identification
Expedited service
Access management
Public safety
Fraud prevention
Know your customer

Ability & Potentials

0.00005 FAR, 6% FRR.
Dataset: CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
We process video frames & it takes 2-5 seconds on the client-side & Less than 1.5 seconds on the server-side with a Core i7 CPU.
CPU based server-side.
Verify 3-Dimensionality.
Verify identity.
Great with glasses, makeup & beards
For all modern smart devices & webcams.
Support IOS, Android devices.
Web client SDK & API.
Easy integration with your app

SDKs are available for iOS, Android, Linux, or Windows If you want to use our face liveness detection SDK just send us a request via this form. Send a request
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