Lite introduction
Uses AI and machine learning technologies for face recognition, Liveness detection on the submitted image, image quality assessment, etc.
Designed for integration into corporate and government remote customer service systems
Enables cross-platform (iOS, Android, WEB) self-registration and authorisation scenarios with live-face image checks
Used for user authorisation or registration, and provides a set of measures to detect face fraud
In registration and authorisation scenarios, a 1:1 face verification algorithm is used
Face check types
Basic checks:
- Comprehensive selfie Liveness check.
- Comprehensive image quality check.
Additional checks:
- Detection of DeepFake technology signs. (Experimental)
- Motion control video capture.
Example of integration into the integrator's system
It is assumed that the component will be initialised by the integrator after the user has passed some authentication factor controlled by the integrator. A successful factor check will generate a short-lived session token, which must be used to initialise the web component.
Integration diagram:
