Crowd Monitoring and Management Application Using AI – Information Technology, Electronics & Communications Department, Telangana
SKOCH Award Nominee
Category: Information Technology – State Department
Sub-Category: subInformation Technology – State Department
Project: Crowd Monitoring and Management Application Using AI
Start Date: 2022-02-02
Organisation: Information Technology, Electronics & Communications Department, Telangana
Respondent: Mr Rajesh Chirumalla, Sr.Consultant
https://it.telangana.gov.in/
Level: Premium Plus
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Case Study
Introduction
The Department of Information Technology, Electronics, and Communications (ITE&C) developed the Crowd Monitoring and Management Application using AI. This programme used real-time camera feed and delivered dynamic statistics through a dashboard. It covered the entire premises or selected locations/areas based on the camera feed.
Problems
Prior to the application’s implementation, a system to monitor crowds and prevent overcrowding in estimated regions and places was required. There was no method in place to measure crowd density and warn the forces for traffic control decisions. More preparation was required for the necessary provisions for the anticipated crowd, as well as enhanced visibility was needed for public meetings and other activities.
Solutions
The application was designed to use a real time camera feed to provide dynamic analytics with a dashboard. The camera feed provided coverage of entire premises or specific locations. The application was used to send notifications to police in order for them to make required preparations for expected crowds. Departments such as the Police, Fire, Water Works, Transportation, Power, and Municipality worked together to offer safety and critical arrangements depending on the application.
Outcomes
The project’s implementation resulted in the avoidance of overcrowding and stampede scenarios. There was provision for safety precautions through collaboration of many departments, and police took necessary actions and safeguarded visitors. The coverage of this application included around 1-2 lakh people.
Challenges
The key hurdles in the project were network and connection issues, as well as power supply concerns and camera downtime.
Innovation
The project’s novel components included the use of AI and facial recognition technologies, as well as the supply of criminal identification if criminal databases were provided.
Opportunities
The project’s prospects included implementation in crowd gathering places such as events, bus and train terminals, public events, and festival rallies.
Summary
The Crowd management and monitoring application used real-time camera feed and gave dynamic statistics through a dashboard. The camera feed covered the entire premises or selected locations/areas. It aided in preventing overpopulation and traffic management in the predicted region. It was also used to measure density and notify forces to make decisions. There was more visibility on public gatherings and activities so as to plan for necessary arrangements for the estimated crowd.
For more information, please contact:
Mr Rajesh Chirumalla, Sr. Consultant at sr-con2-egov-itc@telangana.gov.in
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This is a great project, but it needs to be simplified
It’s very important to keep eye at crowded places