A Frame Work Designing for Deep Fake Motion Detection using Deep Learning in Video Surveillance Systems
Srikanth Bethu, M. Ratna Sirisha, C. Kothai Andal, R. Gayathri, H. Chandramouli, Rathod Aruna · Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences · 2023
This exploration centers around constant perception of items in a given setting, which prompts a rundown of the ways of behaving or connections of the things.Because of the absence of time for robotized checking and examination, an administrator should watch a lot of video information in time with complete thoughtfulness regarding recognize any inconsistencies or episodes, or solely after the surprising occurrence has happened may the video information be utilized as proof.To overcome these issues, we have developed a Deep Learning model to detect face objects in real-time to identify their motion for fake detection using Video Surveillance systems.We have also compared our model with the existing models, and we can probably secure high accuracy of 95.4%.