Introduction

3DiVi offers a set of AI-based human recognition and tracking solutions. The software library is written in C++ with integration API in C#, C++, Java, Python, Swift and Flutter. The library algorithms analyze images, video streams and video files to detect, track and match faces and silhouettes and estimate a list of their attributes.

With 3DiVi human recognition and tracking software, you can:

• Detect, track, identify and verify faces and silhouettes from multiple camera streams in real time. Output data can be stored in the cloud or entirely within your own infrastructure.

• Detect input image quality and estimate such facial attributes as gender, age, emotions, masks, liveness and anthropometric points.

• Integrate human recognition and tracking into your application via integration API.

Face SDK

A set of software components (code libraries) for development of facial recognition solutions of any scale - from a mobile app (Android, iOS) to a professional server solution.

Image API

REST API for detection of faces and silhouettes, face verification and estimation of facial attributes.

OMNI Platform (On-Prem)

A facial recognition client-server platform with web interface and GraphQL API for processing multiple real-time video streams (deployed as an on-prem solution).

OMNI Platform (Cloud)

A facial recognition client-server platform with web interface and GraphQL API for processing multiple real-time video streams (available as a cloud service).

OMNI Agent

Native video analytics and video identification software that processes video files and video streams from cameras to detect and identify faces.

Biometric Anti-Fraud (BAF)

Comprehensive multi-factor biometric authorization and self-registration system with fraud protection.

Glossary

Terms and definitions used in 3DiVi documentation.