Surveillance Violence Detection System

Siddhhesh Gathibandhe, Abhishekh Chimantrawar, Saurabh Pusdekar, Vrushabh Dhole
International Journal of Computational and Electronic Aspects in Engineering
Volume 2: Issue 2, June 2021, pp 38-41

Author's Information
Siddhhesh Gathibandhe1 
Corresponding Author
1Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
siddheshgathibandhe18@gmail.com

 Abhishekh Chimantrawar1, Saurabh Pusdekar1, Vrushabh Dhole1
1Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
Research Paper -- Peer Reviewed
First online on – 19 June 2021

Open Access article under Creative Commons License

Cite this article –Siddhhesh Gathibandhe, Abhishekh Chimantrawar, Saurabh Pusdekar, Vrushabh Dhole“Surveillance Violence Detection System”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 2, issue 2, pp. 38-41, 2021.
https://doi.org/10.26706/ijceae.2.2.20210412

Abstract:-
Surveillance security may be a terribly tedious and long job. In this project, we build a system to automatize the task of analyzing video. we will analyze the video which we put in our model and the model determine any abnormal activities like violence. There are tons of analysis happening within the trade concerning video. Recent increased adaptation of security cameras. This paper describes a recognition and identify system for abnormal objects. The goal is to design and implement a system which will be able to detect abnormal activity using video sequences. The system uses high level reasoning to infer the existence of abnormal activity. The proposed approach was implemented using existing images, video clips and trained video. Our experiments demonstrate the effectiveness of the approach.
Index Terms:-
Violence detection, deep learning, machine learning, surveillance camera
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