iBeta Level-1 and Level-2 Compliant, SpoofSense Face delivers cutting-edge 3D liveness detection that stops even the most sophisticated spoofing attempts.
SpoofSense enhances digital security with advanced face presentation detection detection, offering a multi-layered defense against spoofing attacks of all types.
The system processes a single image frame from any device, including mobile, desktop, or webcams.
AI algorithms analyze the image for signs of liveness using 3D passive detection methods.
A decision is delivered in under 2 seconds, ensuring real-time fraud prevention.
Hyper-realistic masks crafted using materials like silicone, latex, resin, or wax, designed to mimic real facial features and textures.
Executed by playing back pre-recorded videos of a real person on a device screen to simulate live presence.
Created using printed 2D images of a person's face, these simple attacks mimic real faces but lack depth and motion.
Our advanced algorithms ensure real users are never turned away, achieving industry-leading accuracy.
Trained to perform equally well across all skin tones, genders, and ethnicities, ensuring fairness for every user.
Works seamlessly in a variety of environments, from low light to bright outdoor settings, without compromising on detection quality.
Optimized to handle variations in facial expressions, angles, and natural movements for an effortless user experience.
Plug & Play
APIs Integration
Device
Compatibility
On-Prem
Docker-Ready
