Face detection, person identification, liveness check, classification of age, gender, emotions and various attributes

• A cross‑platform C++ library that includes all the algorithmic functionality for analyzing human face images.
• Provides the most efficient and flexible integration into third‑party software. It is well suited for integration into video management systems (VMS), access control systems (ACS), self‑service machines, mobile applications.

• A web service for real time face detection from RTSP video streams which is able to capture and track faces in video feeds, pick the best quality frame for each track, filter face captures by head rotation angles, as well as run liveness checks
• Convenient Web API and graphical interface for configuration.

A web service for running face recognition algorithms on images, managing face collections, running face search on face collections, verifying faces, classifying a person’s gender and age, classifying various attributes, including headwear, facial hair type, glasses and a face mask presence, checking liveness of a face.