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# Lite introduction

Biometric Anti-Fraud Lite (BAF Lite) is a biometric digital identity platform with fraud protection.

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:

### Documentation navigation​

- System deployment
- API access
- Working with the API
- Data retention via API