3D face recognition systems capture and analyze the three-dimensional geometry of a human face to provide bank-grade, spoof-resistant biometric authentication. Unlike legacy 2D systems that rely on flat image matching, next-gen 3D systems use advanced optical sets and depth sensors to map facial contours down to sub-millimeter precision. This shift from “flat images” to “depth maps” allows modern systems to perform flawlessly in complete darkness, eliminate presentation attacks (like photos or deepfakes), and process data securely on local hardware. Core Technologies Inside the System
Next-gen 3D facial recognition relies on three distinct types of optical setups to calculate face geometry:
Leave a Reply