Intel Introduces Real-Time Deepfake Detector
As part of Intel's Responsible AI work, the company has developed FakeCatcher, a technology that can detect fake videos with a 96% accuracy rate. Intel's deepfake detection platform is the world's first real-time deepfake detector that returns results in milliseconds. "Deepfake videos are everywhere now. You have probably already seen them; videos of celebrities doing or saying things they never actually did," said Ilke Demir, senior staff research scientist in Intel Labs.
Intel's real-time deepfake detection uses Intel hardware and software and runs on a server and interfaces through a web-based platform. On the software side, an orchestra of specialist tools form the optimized FakeCatcher architecture. Teams used OpenVino to run AI models for face and landmark detection algorithms. Computer vision blocks were optimized with Intel Integrated Performance Primitives (a multi-threaded software library) and OpenCV (a toolkit for processing real-time images and videos), while inference blocks were optimized with Intel Deep Learning Boost and with Intel Advanced Vector Extensions 512, and media blocks were optimized with Intel Advanced Vector Extensions 2. Teams also leaned on the Open Visual Cloud project to provide an integrated software stack for the Intel Xeon Scalable processor family. On the hardware side, the real-time detection platform can run up to 72 different detection streams simultaneously on 3rd Gen Intel Xeon Scalable processors.
Intel's real-time deepfake detection uses Intel hardware and software and runs on a server and interfaces through a web-based platform. On the software side, an orchestra of specialist tools form the optimized FakeCatcher architecture. Teams used OpenVino to run AI models for face and landmark detection algorithms. Computer vision blocks were optimized with Intel Integrated Performance Primitives (a multi-threaded software library) and OpenCV (a toolkit for processing real-time images and videos), while inference blocks were optimized with Intel Deep Learning Boost and with Intel Advanced Vector Extensions 512, and media blocks were optimized with Intel Advanced Vector Extensions 2. Teams also leaned on the Open Visual Cloud project to provide an integrated software stack for the Intel Xeon Scalable processor family. On the hardware side, the real-time detection platform can run up to 72 different detection streams simultaneously on 3rd Gen Intel Xeon Scalable processors.