Rather than going with a method that examines a video’s file for tell-tale signs, Intel’s platform uses deep learning to analyze the subtle color changes in faces caused by the blood flowing in veins, a process called photoplethysmography, or PPG.

FakeCatcher looks at the blood flow in the pixels of an image, something that deepfakes are yet to perfect, and examines the signals from multiple frames. It then runs the signatures through a classifier. The classifier determines whether the video in question is real or fake.

Thubron, R. (2022, November 15). Intel detection tool uses blood flow to identify deepfakes with 96% accuracy. TechSpot. https://www.techspot.com/news/96655-intel-detection-tool-uses-blood-flow-identify-deepfakes.html