THE DETECTION OF FAKE FACE IN VIDEOS

Abstract

In an era of rapidly developing technology, the emergence of Deepfaketechnology has changed our interaction with digital content. With the abilityto help users change images and videos automatically, this technologyhasmade the work of media and film workers,... easier. However, thistechnology is being abused for bad purposes. Therefore, this thesis will present in detail how to implement a project to recognize fake faces invideos, how to collect data, train a CNN model to recognize fake faces, thenwrite a website to serve the recognition fake faces are easier. Finally, theresult of training the model with 86,66% accuracy and 5 model Xception, VGG, MobileNet, Xception and DenseNet.