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How Facial Recognition Works on a Mask

The process of facial recognition involves the comparison of two photographs to identify a single person among a large pool of registered faces. The process is safe and non-intrusive, and can be performed by ordinary cameras or infrared cameras, which are comparable to those used in television remote controls. A person’s face contains more than 80 points, which are combined mathematically to form a “faceprint” that can be searched through an identity database.

Face recognition software uses a biometric algorithm to map facial features in photographs and videos and compare them to a database of previously recognized faces. The process typically follows four basic steps. First, a camera detects human faces, whether they’re in a crowd or alone. Human faces are best detected when they’re facing straight into a camera. However, recent technological advances make it possible to identify people with angled faces, even if they don’t look directly at the camera.

The privacy concerns that surround face recognition have sparked controversy. Some people fear that the technology can track them. While the vast majority of facial recognition software does not store data, some still don’t automatically discard it after use. This means that a potentially breached database could expose personal information about you to unauthorized personnel. As such, this technology is not yet widely used. This is why companies are scrambling to figure out how to get facial recognition to work on a mask.

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