Intel unveils real-time deepfake detector, claims 96% accuracy rate

by | Nov 16, 2022 | Technology

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On Monday, Intel introduced FakeCatcher, which it says is the first real-time detector of deepfakes — that is, synthetic media in which a person in an existing image or video is replaced with someone else’s likeness. 

Intel claims the product has a 96% accuracy rate and works by analyzing the subtle “blood flow” in video pixels to return results in milliseconds.

Ilke Demir, senior staff research scientist in Intel Labs, designed FakeCatcher in collaboration with Umur Ciftci from the State University of New York at Binghamton. The product uses Intel hardware and software, runs on a server and interfaces through a web-based platform. 

Intel’s deepfake detector is based on PPG signals

Unlike most deep learning-based deepfake detectors, which look at raw data to pinpoint inauthenticity, FakeCatcher is focused on clues within actual videos. It is based on photoplethysmography, or PPG, a method for measuring the amount of light that is absorbed or reflected by blood vessels in living tissue. When the heart pumps blood, it goes to the veins, which change color. 

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“You cannot see it with your eyes, but it is computationally visible,” Demir told VentureBeat. “PPG signals have been known, but they have not been applied to the deepfake problem before.” 

With FakeCatcher, PPG signals are collected from 32 locations on the face, she explained, and then PPG maps are created from the temporal and spectral components. 

“We take those maps and tra …

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