Anomalies Detection For Surveillance

Techs: GPU : Tesla T4, Camera, Python, Flask
Department: Computer Science
MSTeamURL: click here

Anomalies Detection For Surveillance is a automonus system that aims to detect potential anomalies in an environment and make relevant decision to address that anomaly. We detect four potential anomalies weaponry, smoking, violence and fire. In case of these potential anomalies we make detection and perform relevant actions.

Background

In the market, currently systems are present which can detect the activities but those are very specific to a single activity. If we specifically talk about the surveillance system, consist of only the biometrics and cameras with DVR.

Those system does not involve any type of computer vision on real time.  

But this software can detect the multiple type of anomalies that may be prohibited in the premises

of campus like Violence, Weaponry, Fire and Smoking .This system investigates the frames coming from cameras and look for the anomalous activities.

 How the System Works

This system is the combination for multiple objectives:

i. Receiving the data from system

ii. Investigate the frames coming from specified cameras for anomalies.

iii. Detection and Localization of Potential Anomalies

iv. If necessary, system can raise the alarm in case of emergency.

Significance of the System

Specific implementation of this system is at the Educational Institute campuses where the above-mentioned activities are considered as anomalies.  

But we can implement this in the areas like offices, building or factories. With very few changes in the model, we can implement this in the other areas as well for surveillance.

We can even use this in this pandemic situation where mask is mandatory to wear. We can detect and identify the persons with no mask.

Project Team Members

Registration# Name Email
FA17-BCS-026 Wajeeh Ahmed awajeeh10@gmail.com
FA17-BCS-037 Sohail Nasir junaidnasir47@gmail.com
FA17-BCS-044 Nosherwan Iftikhar nosherwanshery@yahoo.com

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