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Use the following resources to learn how to use and impalement face API's in your software and application In this user guide, you will find detailed descriptions and examples that describe implementation method that you can use for enabling your application with face recognition technology with respect to various functionality like face detect, face compare, face attribute and face landmarks.
Face detection is a technique for detecting human faces in photographs and mapping them onto a high-precision rectangular grid. It may be used to lock and unlock the screen and apps, as well as a variety of other scenarios that need facial recognition. The location of specific places on the human face in relation to major facial characteristics can be used to enhance their beauty. This API can be used in a variety of ways such as face unlock, face clustering, and facial beautification.
Facial comparison detects and extracts essential facial traits, compares human faces with high precision, generates confidence scores, and evaluates if the same person appears in many photos. Face comparison technology that is cutting-edge categorises and handles photographs smartly. Face recognition is accurate thanks to an advanced picture recognition system, which also enables apps to provide an enhanced UX to user.
Face attributes are biological traits that describe face characteristics with a high level of intrinsic stability and individual variation, making them valuable for identifying people. Gender, skin tone, age, and expression are all important factors.
The important features on a human face in the input image are detected, and the coordinates of the key points ( landmark points) that represent the facial contours are returned, providing input for future algorithms for beautification, facial modelling, and facial expression recognition.