Your Guide to Face Recognition SDK and Its Uses

A face recognition SDK is a set of innovative face recognition technologies that are combined into an application programming interface (API) and can be incorporated into your intelligence infrastructure. With a face recognition SDK, you can carry out processes such as face recognition, face detection, and face tracking quickly, accurately and in real-time. 


Face recognition SDK applications are used in a wide range of settings, such as offices that need interactive video in order to run their operations smoothly. Learn more about the key features and uses of face recognition SDK.

Features of face recognition SDK applications:

The key features of face recognition SDK applications include: 

Face Detection:

The best face recognition SDK technologies can be used to detect and identify complex facial landmarks (including eyes, lips, nose and cheeks) in video streams and images, for both groups of people and individuals.

The technology can detect and verify multiple faces in a fraction of a second.

The technology is also used in multiple-stage face detection and analysis of facial movement. 

Face Recognition: 


The technology can be used to compare thousands of faces within a second.

The best face recognition SDK tools like MorphCast are resistant to bad lighting conditions and obstructions, making it possible to detect single and multiple faces. 

Face Tracking:

With a face recognition SDK, you can track multiple head positions using features such as eye closure and eye-gaze tracking in real-time. 

Face recognition SDK and the best interactive video platforms:

Because of its ability to detect faces and read facial expressions in real time, face recognition SDK can be used in interactive video platforms. Some of the best interactive video platforms today rely on face recognition and are used in settings such as offices for video conferencing and in video surveillance. 


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