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

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. 

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