Difference between revisions of "Face recognition in law enforcement"

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The use of facial recognition in law enforcement is a method of cataloging and identifying human faces in order to track people suspected of illegal activity and make arrests. Police often collect mugshots or driver’s license photos to build local, state, and federal face recognition databases. Law enforcement can query these databases to identify people from mugshots, CCTV, or traffic cameras. The software used to return matching database results analyzes patterns based on a person’s facial geometry and features.
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'''Face recognition''' in law enforcement is a method of cataloging and identifying human faces in order to track people suspected of illegal activity and make arrests. Police often collect mugshots or driver’s license photos to build local, state, and federal face recognition databases. Law enforcement can query these databases to identify people from mugshots, CCTV, or traffic cameras. The software used to return matching database results analyzes patterns based on a person’s facial geometry and features.

Revision as of 05:00, 13 March 2020

Face recognition in law enforcement is a method of cataloging and identifying human faces in order to track people suspected of illegal activity and make arrests. Police often collect mugshots or driver’s license photos to build local, state, and federal face recognition databases. Law enforcement can query these databases to identify people from mugshots, CCTV, or traffic cameras. The software used to return matching database results analyzes patterns based on a person’s facial geometry and features.