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Real-time crowd intelligence for large-scale event operations

Crowd Intelligence

Overview

Managing millions of people at a large public event requires more than a physical security presence. Teams need timely visibility into crowd movement, emerging situations, and activity across multiple locations to coordinate operations effectively.

During Ganesh Visarjan, we deployed an AI-powered surveillance system that brought together CCTV and drone feeds to monitor crowd density, analyse movement, and generate automated alerts. A unified command interface gave teams a consolidated view of activity across the event, while movement intelligence supported the tracking of people and idols.

The challenge

Maintaining visibility across a crowd of millions.

The scale and continuous movement of the Ganesh Visarjan crowd created a need for real-time situational awareness across the event. Relying on separate camera feeds and manual observation alone made it difficult to maintain a consolidated view of activity.

The operation needed a way to:

  • Bring surveillance inputs into a unified view to support operational decisions.
  • Track people and idols across the event.
  • Identify potentially suspicious activity and surface relevant alerts.
  • Monitor crowd density and movement across multiple camera feeds.

The solution

An AI-powered surveillance system integrating CCTV, drones, and movement intelligence.

We deployed an AI intelligence layer that consolidated surveillance feeds and analysed activity across the event.

The solution combined several capabilities:

Unified command viewBrought CCTV and drone feeds together through a bird’s-eye interface, providing a consolidated view of event activity.
Automated alertsSurfaced relevant events to help operational teams respond to emerging situations.
Potential suspect detectionUsed AI-assisted surveillance to flag potential suspects for further verification.
Object and movement trackingSupported the tracking of people and idols across the event.
Crowd monitoringAnalysed crowd density and movement to provide visibility into activity on the ground.

The impact

The deployment supported surveillance and crowd intelligence at a scale involving millions of people.

4M+Peak crowd managed
1,530Idols tracked
25AI-enabled cameras
65Potential suspects detected

Bringing multiple surveillance feeds into one operational view

By combining camera feeds, drone footage, AI-assisted detection, and movement tracking, the deployment gave event teams a consolidated view of crowd activity. It brought multiple surveillance capabilities into a single intelligence layer to support monitoring and investigation during a high-density public event. Also, helped prevent stampedes, or any terror attacks.

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