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    In the past, facial recognition software has relied on a 2D image to compare or identify another 2D image from the database. To be effective and accurate, the image captured needed to be of a face that was looking almost directly at the camera, with little variance of light or facial expression from the image in the database.
How does 3D Facial Recognition work?    A newly-emerging trend in facial recognition software uses a 3D model, which claims to provide more accuracy. Capturing a real-time 3D image of a person's facial surface, 3D facial recognition uses distinctive features of the face -- where rigid tissue and bone is most apparent, such as the curves of the eye socket, nose and chin -- to identify the subject. These areas are all unique and don't change over time.
    Using depth and an axis of measurement that is not affected by lighting , 3D facial recognition can even be used in darkness and has the ability to recognize a subject at different view angles with the potential to recognize up to 90 degrees (a face in profile). Using the 3D software, the system goes through a series of steps to verify the identity of an individual.
     EmBiometrix uses 3D facial Recognition Technology for strengthening security at corporate buildings, banks, hospitals, airports and other types of entry points for the commercial and Civil ID markets. This system is designed both as a stand alone system or to interface with legacy access systems in a distributed networked environment.
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