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AI Powers Tiruvannamalai Temple Festivities

Summary

  • AI analyzes crowd density at 28 hotspots, directing police response.
  • 15,000 police officers manage an estimated 40 lakh devotees.
  • Real-time tracking uses ANPR, cameras, and facial analytics on approach roads.
AI Powers Tiruvannamalai Temple Festivities

Tiruvannamalai district police are leveraging artificial intelligence to manage the massive crowd during the Karthigai Deepam festival. An AI-based study analyzed historical data to map crowd flow, enabling real-time density monitoring at 28 hotspot locations. When crowd density exceeds safety thresholds, the control room dispatches officers to manage congestion and ensure smooth movement for the estimated 40 lakh devotees expected.

The festival, which began on November 24 and culminates on December 3, sees 15,000 police personnel on duty. Advanced technology, including ANPR systems and headcount cameras, tracks devotee movement along the four main streets, the 14-km Girivalam path, and nine major approach roads connecting to Tiruvannamalai. Predictive models also monitor traffic at 40 critical junctions.

In addition to crowd and traffic management, 130 parking zones have been mapped on Google Maps. The district administration has implemented lane discipline measures. To enhance safety, 45,000 safety hand tags with contact information have been distributed to prevent missing-child incidents. Senior ministers are overseeing the arrangements.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
AI analyzes crowd density at critical points and directs police to manage congestion and disperse crowds effectively.
ANPR systems, headcount cameras, and facial analytics are used to monitor devotee flow in real time on approach roads.
Over 40 lakh devotees, primarily from Andhra Pradesh and Karnataka, are anticipated to attend the festivities.

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