Intel has introduced what it claims(Opens in a new window) is the world's very first real-time deepfake detector. FakeCatcher is said to have a 96% accuracy rate and works by analyzing blood flow in video pixels using innovative photoplethysmography (PPG(Opens in a new window)). Ilke Demir, the senior staff research scientist in Intel Labs, designed the FakeCatcher detector in collaboration with Umur Ciftci from the State University of New York at Binghamton. The real-time detector uses Intel hardware and software and runs on a server and interfaces through a web-based platform. FakeCatcher is different from most deep learning-based detectors in the fact that it looks for authentic clues in real videos rather than looking at raw data to spot signs of inauthenticity.

Ever wondered how come your favourite celebrities are morphed into another person and made to speak something which they have never really spoken? Well, to combat this Intel has come up with its own product which will detect these fake videos, also called deep faking. The company claims its tech called FakeCatcher will detect fake videos with a 96% accuracy rate and will give results in milliseconds. This detector has been designed by Demir in collaboration with Umur Ciftci from the State University of New York at Binghamton. Wondering how this will happen?