Biometrics is a way of identifying someone by their fingerprints, DNA, facial structure, eyes (iris or retina), and voice. Most people share all of these features, and they are unique in each individual. Also, they don't change over an individual's lifetime and cannot be easily faked.
A machine learning program can recognize distinct patterns in someone's physical characteristics, store that information, and then verify a pattern to confirm the identity of the individual in question.
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Credits
Module 2: What is Machine Learning?
Allan Partridge, Project Director
Gareth Leach
Nathan Armstrong, Director and President, Motive IndustriesModule 3: Autonomous Vehicles
Special Thanks to Peter Lehner and Nathan Armstrong.
Images and video provided by Jörn Marten Wille, StadtpilotModule 4: History of Machine Learning
Images
Pascaline
Source: David Monniaux
Leibinz
Source: Kolossos - de Technische Sammlungen der Stadt Dresden
Jacquard
Source: George H. Williams
Hollerith Machine
Source: Adam SchusterENIAC
Source: K. Kempf – US Army Photo
Checkers
Source: www.freeimages.co.uk
Module 5: BIM
Video provided by Autodesk