Browsing by Author "Alam, Wahidul, T173032"

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    Performance Monitoring of an IoT Based Framework for Crowd Management
    (Department of Electronic and Telecommunication Engineering, 2022-11) Alam, Wahidul, T173032
    Modern technology aims not only to make people’s life easier but also more safely. Being in a highly crowded country like Bangladesh tends to make you think about crowd problem. Which requires immediate solution. Very high Crowd may result on pushing, mass panic, stampede, crowd-crush and causing an overall control loss. Our current work introduced a IoT based crowd management system. The system consists of two main sides. Admin side and User side. Consisting of four layers: Sensor, Networking, Service and Interface Layer. The aim is to strongly support administrators controlling and distributing visitors over the given place. The sensor layer is responsible for crowd data acquisition. The networking and service layer acts as management layer. It includes web services which are responsible for collecting and analyzing the data coming from the sensors. It then notifies administrators about overcrowded areas to take the suitable decisions. Server side is connected to IP cameras to detect crowd level in certain locations to report it to admin side. while the interface layer is for different users to receive data and alarm from the admin side. The suggested frame work provides an effective method to connect and alert all of the users immediately, preventing high crowd level danger.