Face Matching is a technology that can be used to authenticate a person based on facial features. In the context of remote identity verification, this technology makes it possible to check whether the face captured at the time of video recording matches the face in the picture taken from the identity document.

Liveness detection is an essential feature of facial recognition, as it can detect whether the person behind the camera is alive. There are two types of liveness detection: passive (does not require any movement from the user) and active.

There are a multitude of identity frauds, of which 2 methods are recurrent:

• 2D static attacks with the use of masks, photos or smartphone screens to reproduce moving images imitating a live person.
• 3D attacks using 3D masks in silicone, latex (known to be extremely realistic) or stacked 3D photos ( overlaying 2D photos to give depth to the facial features) to perfectly imitate the characteristics of a real human being. 

Our ID Verification solution can thwart the most advanced deepfakes.