Different liveness detection functionalities are included to implement anti-spoofing mechanism with the possibility of configuring the balance between security and usability of the application.
The Face Verification SDK is intended for developing applications which perform end-user identity verification in mass scale systems like:
The Face Verification SDK is based on the VeriLook algorithm, which provides advanced face localization, enrollment and matching using robust digital image processing algorithms based on deep neural networks. The SDK offers these features for large-scale identity verification systems:
The Face Verification SDK architecture requires to account the performed operations on integrator's or end-user's server:
The following operations are available via the high-level API:
The face recognition accuracy heavily depends on the quality of a face image. Image quality during enrollment is important, as it influences the quality of the face template.
A live video stream from a camera is required for face liveness check: