Surveillance security is a very tedious and time-consuming job. In this tutorial, we will build a system to automate the task of analyzing video surveillance. We will analyze the video feed in real-time and identify any abnormal activities like violence or theft.

There is a lot of research going on in the industry about video surveillance among them; the role of CCTV videos has overgrown. CCTV cameras are placed all over the places for surveillance and security.

In the last decade, there have been advancements in deep learning algorithms for deep surveillance. These advancements have shown an essential trend in deep surveillance and promise a drastic efficiency gain. The typical applications of deep surveillance are theft identification, violence detection, and detection of the chances of explosion.

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