Sentences with phrase «automatic facial recognition»

The feature offers an easier front - end builder that instantly previews changes on your Bitmoji, with the option to take a selfie to guide your personalization... though there's still no automatic facial recognition to do it for you.

It runs Android 4.0 with a new version of Samsung TouchWiz that reduces the customization level found in previous versions, while adding new «smart» features, such as using the front camera to keep the screen lit as long as the user is actually looking at the phone or actively using the microphone to recognize select commands without user interaction and includes automatic facial recognition for various functions, such as photo grouping, contacts and sharing among other features.

This photo shows a German official identified by a computer with an automatic facial recognition system that was not mentioned in the report.

Researchers in the lab of Anil Jain, MSU University Distinguished Professor of computer science and engineering, have been evaluating automatic facial recognition technology.

Klontz and Jain's technical paper on evaluating automatic facial recognition technology can be viewed here.

In a study that evaluated some of the latest in automatic facial recognition technology, researchers at Michigan State University were able to quickly identify one of the Boston Marathon bombing suspects from law enforcement video, an experiment that demonstrated the value of such technology.

It is unknown, Jain said, what automatic facial recognition technologies were used by investigators in Boston.

September 2012 — Facebook turns off an automatic facial recognition feature in Europe following another audit by Ireland's Data Protection Commission.

For example, with automatic facial recognition at scale, any picture of you uploaded to Facebook (or perhaps even the web) could result in a notification.

Not exact matches

Even better, the flying camera drone offers facial recognition for automatic pictures, follows people intelligently, and can take ten - second tracked videos of cool moments.

Because of increased use of CCTV, images captured on mobile phones and automatic face recognition technology, the comparison of facial images to identify suspects has become an important source of evidence.

Whittaker and Sas propose that software solutions might help scrub cyberspace of painful memories, for instance automatic «harvesting» using facial recognition, machine learning or entity extraction.

FabFocus uses facial recognition technology to create an automatic blur effect around the spot it identified as a face.