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Crowd Detection Management System

Authors:

Prof.Devyani Bonde, Namit Chidrawar, Siddhesh Abhang, Omkar Sahane, Pranav Yadav

Abstract — Smart cities aim not only to make people's lives more enjoyable but also safer using advanced technology. Being in crowded community spaces such as schools, colleges, stadiums, subway stations or holy spots on Pilgrimage impacts not only the level of human convenience but above all the threat of human security. An abnormal crowd conduct can lead to push, mass panic, stampede, crowd-crush, and causing an overall control loss. The current work introduced a mobile-based crowd abnormal behavior detection and management system. The system consists of two main parts; firstly, the server-side application connected to IP surveillance camera(s) to detect any abnormal crowd behavior and also crowd level in the entrance gates location(s), while the second main part is a mobile application with different users rights to receive an alarm from the server-side application in case of increasing crowd level or abnormal movement. The suggested framework provides an effective method to connect and alert all the system users immediately, preventing danger resulting from abnormal crowd behavior.

Keywords — crowd abnormal behavior detections, social forced model, Commercial Crowd Detection Applications, Surveillance system.