Detect the Fake Faces from Images and Videos Using Convolutional Neural Network |
Author(s): |
| Shubham Dhamal , SVPM College of Engineering Baramati; Vaishnavi Adsul, SVPM College of Engineering Baramati; Tushar Gavhane, SVPM College of Engineering Baramati; Priyanka Lokhande, SVPM College of Engineering Baramati |
Keywords: |
| Video forensics, Convolution Neural Network, compressed Deepfake videos, Cyber Forensics |
Abstract |
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Nowadays, the development of technologies that can generate Deepfake videos is expanding rapidly. In fact, compressed videos are common in social networks, such as videos from Instagram, Facebook and Twitter. Therefore, learning how to spot compressed Deepfake videos becomes crucial. These videos can be easy to create but due to this it effects on Personal reputation, Business Reputation and aids to financial loss. Therefore, we proposed a detection system which identifies the real video and fake. Throughout this paper we will use real and fake videos data to train the Convolutional neural network and classify their categories into real and fake. CNN gives better accuracy on image and video dataset. In this paper, we will be building a web application that takes image or video as input and pre-process that with help of CNN model and gives the final classification as an output. |
Other Details |
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Paper ID: IJSRDV10I100071 Published in: Volume : 10, Issue : 10 Publication Date: 01/01/2023 Page(s): 40-43 |
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