Matching galleries can be shared amongst f2 users, so multiple users can connect to a single gallery. Users can connect to any computer running an f2 gallery of interest. Because searches are comparing encodings describing faces rather than the images themselves, the searches are extremely fast, typically greater than 1m records/second. f2 can optimize itself for the specific type of image it's being used to recognize. f2 is unaffected by race, age, or colour. The language of the user interface can be changed at will. During screening, f2 can analyze a variety of images from still photos and video sources. Detection and recognition results can be sent to designated recipients. This can be accomplished either interactively by the user, or in a fully automated mode, as below.

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.