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Innovation
Home Innovation

Intel's new deepfake detector can spot a real or fake video based on
blood flow in video pixels

Intel's FakeCatcher detects a deepfake in real time with a 96%
accuracy rate
jada-jones
Written by Jada Jones, Associate Editor on Nov. 17, 2022

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facial-recognition.jpg
Image: Witthaya Prasongsin / Getty

In recent years, more and more deepfakes have littered the internet -
pieces of synthetic media that take an image or video and use someone
else's face or voice to create a new, fake image of people or
occurrences. And chances are, you've already seen one and didn't know
it was a deepfake.

The very real-looking characteristics of deepfakes have allowed for
many instances of misinformation, hoaxes, and fraud to disseminate
online. In response, Intel announced a new technology called
"FakeCatcher" to detect deepfake media with a 96% accuracy rate.

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Deepfakes use impressive technology derived from machine learning and
artificial intelligence to create scarily accurate impressions of
celebrities and politicians doing and saying things they haven't. 

Existing technologies can take hours to dispel web surfers' trust in
a deepfake, as they use deep learning to investigate signs of digital
manipulation.

Also: How to spot a deepfake? One simple trick is all you need

Intel's FakeCatcher can detect a deepfake in real time by "assessing
what makes us human - 'blood flow' in the pixels of a video,"
according to a press release. 

Intel says its technology can identify changes in our veins' color
when blood circulates through the body. Signals of blood flow are
then collected from the face and translated by algorithms to discern
if a video is real or a deepfake. 

It's becoming increasingly important to have software to help us
identify deepfakes to avoid harmful consequences. Some deepfake
videos and images are graphic in nature, and others perpetuate
distrust in the media. 

In the past, scammers have used deepfakes to pose as job seekers to
access sensitive company information. They've also been used to
impersonate prominent political figures to say inflammatory
statements. 

Although some movements and mannerisms in deepfakes give away their
deceptive nature, most people mindlessly scroll through their Twitter
feed and don't take the time to find out if a video is real or fake. 

Also: The next big security threat is staring us in the face.
Tackling it is going to be tough

And by the time a deepfake garners millions of shares, it's far too
late, as 63% of adults in the US admit that an altered video has
confused them about current events, according to the Pew Research
Center. 

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