Identity can be easily spoofed
Face spoofing attacks are easy to produce and can fool face recognition/verification systems with just a picture of the face displayed digitally or in printed form
Prevent Fraud with SpoofSense AI
SpoofSense uses Deep Learning to accurately detect Genuine Faces and reject-
Digital Attacks
The face is presented using a phone, tablet, or any digital screen.
Printed Attacks
The face is presented using a high-quality print, 2D mask.
Digital Attacks
The face is presented using a phone, tablet, or any digital screen.
Printed Attacks
The face is presented using a high-quality print, 2D mask.
Uses a Single
Frame to Confirm Face Liveness
Other Face liveness solutions force users to perform physical tasks like blinking X times, tilting their head Y degrees in order to confirm liveness.
This leads to a bad UX and is painful for both parties.
SpoofSense just needs a single frame to detect face liveness which leads to a 4X Faster, Zero-Friction User Experience.
This leads to a bad UX and is painful for both parties.
SpoofSense just needs a single frame to detect face liveness which leads to a 4X Faster, Zero-Friction User Experience.
Simple API Integration
SpoofSense API can be easily integrated in your app with a single HTTP-POST request.
Checkout the Docs to learn more.
Checkout the Docs to learn more.
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Focus on your 'real' users, we'll take care of the 'spoofs' .
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