* Assign person’s name to one or more faces * Retrieve cropped face images * Try to recognize person on the image or just find out how similar it is comparing to another faces * Apply different geometrical transformations to face image or make average face image from a group of faces

* Emotion Recognition - This module produces continuous intensity measurement for seven universal expressions including joy, anger, sadness, surprise, disgust, fear, and neutral. * Gender Recognition - This module produces a gender label and a corresponding confidence measure for each face within the image. * Age Recognition - This module outputs one of four discrete age group labels for each face in the image as well as a corresponding confidence measure. The labels consist of Child, Young Adult, Adult, and Senior. * Face Recognition - This module outputs an identity for each face within the image. The user simply enrolls images for a set of subjects with varying pose and lighting conditions and the module will automatically generate a face recognition database. The generated model can then be easily applied to a new face image to retrieve an identity label and a corresponding confidence measure. * Facial Tracker - This module provides a bounding box, facial landmark locations, and head pose information for each face detected in the image. A tracking id is also provided to identify a particular face across frames. * Engagement and Mood Metrics - This module computes a set of engagement and mood metrics based on the emotion recognition results.