Introduction
Applies AI and machine learning to recognize faces and determine such facial attributes as face liveness, image quality assessment, etc
Designed for embedding in corporate and government remote customer services
Implements cross-platform (iOS, Android, WEB) self-registration and authorization scenarios with anti-spoofing checks of the face image
Used for authorization or registration of users, BAF provides measures to detect forgery of persons
Registration scenario uses remote facial liveness detection and identification (1:N) algorithm. Authorization scenario is implemented by remote facial liveness detection and verification (1:1) algorithm
Face checks
Depending on the subsystems selected and the use cases, the following checks are available:
Basic checks:
- Comprehensive selfie liveness check
- Comprehensive image quality check
- Comprehensive check of user's environment change
- Comprehensive blacklist check
- Risk alerts
Additional (optional) checks:
- Liveness Reflection check
- Motion control video saving
- Cross-matching. Comparison of face best shots from recorded videos and best shot from component