Previous systems were fooled by high-resolution photos, silicone masks, or even a sleeping user’s thumb. Face 3.2 requires spontaneous biological response . To authenticate, the system projects an invisible, low-amplitude near-field signal that causes the human iris to oscillate at a natural frequency of 12 Hz. A video replay or a 3D-printed head cannot replicate this involuntary oscillation.
At its core, refers to the third major revision, second minor update, of a deep neural network (DNN) architecture specifically designed for 3D facial mapping and authentication. Unlike its predecessors (Face 1.0 and 2.x), which relied heavily on 2D RGB camera data, Face 3.2 integrates multi-spectral sensor fusion. face 3.2