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Involves: Tracking of faces through a video stream and extracting viable frontal face images for use by the recognition component.

Implemented by: Marcelo Lourenco

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Involves: comparing an input set of faces you hope to recognize against a recognizer trained with a known dataset.

Implemented by: Matthew Shane Kingon

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Involves: Comunicating with students via automated email to attain feedback to better improve the recognizer for subseuent days.

Implemented by: None

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