Investigating tensorflow for airport facial identification: poster

Title

Investigating tensorflow for airport facial identification: poster

Event

5th Annual Symposium and Bootcamp on Hot Topics in the Science of Security (HotSOS'18)

Contributing USMA Research Unit(s)

Cyber Research Center, Electrical Engineering and Computer Science

Description

Facial recognition is a rapidly developing application of machine learning. Face identification is specifically being adopted across security systems such as airports, perimeter security, and law-enforcement. In this poster, we describe a facial identification approach that can be deployed at airports. Our contributions include i.) facial identification software built on top of Google's TensorFlow [1] framework; ii.) a data collection scheme that can be implemented at airports nationally; and iii.) a user interface for collecting data.

Publication Date

Spring 4-2018

Document Type

Presentation/Poster

Files

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