CNN based implementation of crowd detection using raspberry pi
Loading...
Files
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
There is a lot of population numbers in the world and India is one among them. So, it is very common to expect crowded events with many number of people participating in the events like cart festivals-, strikes-, protests and any other sort of event where people gathering is too common in these days but these gatherings will be confronted to multiple security issues. To get free from such issues, security cases are majorly involved to handle the crowd and provide security to the people surrounded in the gatherings. But at last the security provided to people is limited with the technology, the security forces can easily become tired and remain unsuccessful in maintaining the crowd. Due to the negligence and poor managed system this might be problematic issue to the people like people get injured and it might also lead to loss of lives accordingly crowd also increases. So that’s the reason we are here with the solution for crowd detection by using Raspberry Pi Model 4B and by implementing the concept of deep learning and machine learning on AI, by training a model based on it. And at last this model will be deployed on our Raspberry Pi board. This will help us to identify the crowd on a real time scenario. The crowd can be categorized under one person, two people, three people, four people, crowd or protest crowd. The crowd can then be detected by CCTV or by drones for betterment view of the crowd. To achieve this the process is divided into three parts, firstly we will identify pedestrian using the collected data set. Secondly, we will try the same thing on people. Thirdly, we will try this on real time crowd detection.