* 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.

Facial Recognition: Face++ detects and locates human faces within an image, and returns high-precision face bounding boxes. Face detection is the first step to analyzing and processing faces, Face++ also allows you to store metadata of each detected face for future use. Body Recognition: Face++ detects and locates human bodies within an image, and returns high-precision body bounding boxes. Body detection is the first step to analyzing and processing bodies. You can perform body attributes analysis on each detected body image, to get more detailed body-related information.