Facial recognition marks the end of anonymity

Help

Researchers at Carnegie Mellon University in Pittsburgh have developed different forms of facial recognition technology to highlight the positives and negatives of a world without anonymity.

Alessandro Acquisti, an associate professor of information technology and public policy, created an experimental smart phone application that is capable of snapping a photograph of a stranger's face in order to produce that individual's social security number.

The technology matches photographs taken with smart phones with those on Facebook.

Across campus, students at the CyLab Biometrics Centre are developing facial recognition hardware and software to assist police and military in identifying criminals.

Produced by the BBC's Matt Danzico

Living Online

BBC © 2014 The BBC is not responsible for the content of external sites. Read more.

This page is best viewed in an up-to-date web browser with style sheets (CSS) enabled. While you will be able to view the content of this page in your current browser, you will not be able to get the full visual experience. Please consider upgrading your browser software or enabling style sheets (CSS) if you are able to do so.