Structured-light 3D face readers use an invisible, near-infrared, grid-shaped light on a user’s face. The distortions in the grid caused by facial contours are photographed, storing around 40,000 data points. This system can accommodate various facial positions, work in low lighting conditions, and make matches even if a face changes as a result visual features such as a scar.
End-users can confirm their identity in a second using only their face. Companies can assess the appropriate security threshold for their needs, with a higher threshold increasing the number of data points, reducing false accepts but increasing false rejects.
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