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FRS (OD/OT):

Facial Recognition Solutions are derived from Object Detection and Tracking. It uses various algorithms to identify and verify people's identities based on their facial features. The solution typically works by extracting facial features from an image or video and comparing them to a database of known faces to identify a person. And has been tested and validated on a database of 1 million faces. The FRS has been trained to recognize a wide variety of facial features, including the shape of the face, the distance between the eyes, and the texture of the skin, with matching and recognition enabled.

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