Violence Detection System using AWS Cloud
Keywords:
Violence detection system, weapons, blood detection, face comparison, AWS, cloudAbstract
With the rapid growth of surveillance cameras to monitor human activities, it has become really important to develop such systems that can detect violent activities and harmful people that are already banned from entering the premises by any organization before they cause any trouble. In this work, an effective architecture is proposed which is based on deep learning and real-time processing to alert the authorities about any violent activity in real-time without giving any false alarm. The architecture used in this work uses several parameters to conclude. Firstly, captured faces are compared with the faces of those individuals who were previously involved in violent activities in or around the institution. And for new cases, the system performs Facial gesture detection, violent object detection, violent action detection, weapon detection, and blood detection to draw any conclusion to avoid any false alarm. Then, faces involved are compared with the faces of all the members of the institution to discover if the person involved in violence belongs to the institution itself. An automatic email is sent to the discipline authority describing the person and the location of violence. For better understanding, all the steps of the research approach are presented with the help of architectural diagrams.
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