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All Journal International Journal of Electrical and Computer Engineering
Sarthak Sharma
SRM Institute of Science and Technology
Computer Science & IT Electrical & Electronics Engineering

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A fully integrated violence detection system using CNN and LSTM Sarthak Sharma; B. Sudharsan; Saamaja Naraharisetti; Vimarsh Trehan; Kayalvizhi Jayavel
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i4.pp3374-3380

Abstract

Recently, the number of violence-related cases in places such as remote roads, pathways, shopping malls, elevators, sports stadiums, and liquor shops, has increased drastically which are unfortunately discovered only after it’s too late. The aim is to create a complete system that can perform real-time video analysis which will help recognize the presence of any violent activities and notify the same to the concerned authority, such as the police department of the corresponding area. Using the deep learning networks CNN and LSTM along with a well-defined system architecture, we have achieved an efficient solution that can be used for real-time analysis of video footage so that the concerned authority can monitor the situation through a mobile application that can notify about an occurrence of a violent event immediately.
Co-Authors B. Sudharsan Kayalvizhi Jayavel Saamaja Naraharisetti Vimarsh Trehan