Rising Use of AI in Public Safety
Intelligent Crowd Management Framework: The adoption of Artificial Intelligence (AI) in crowd control marks a major shift in how large gatherings are monitored in India. Tamil Nadu Police implemented this system during the Karthigai Deepam festival in Tiruvannamalai, where lakhs of devotees participate every year. The technology enabled faster decision-making and improved coordination.
Static GK fact: Tamil Nadu has one of India’s earliest established modern police forces, formed in 1659 during the Madras Presidency.
How AI Enabled Smarter Crowd Monitoring
The AI system was integrated with hundreds of CCTV cameras placed around the temple, girivalam path, and key junctions. It analysed live visuals to detect crowd density, movement patterns, and congestion points. When 4–5 people occupied one square metre, the system generated instant alerts. This threshold helped authorities take preventive steps before overcrowding became dangerous.
Accuracy and Data-Driven Command Decisions
The system delivered nearly 95% accurate readings on the number of people and vehicles at various locations. This accuracy supported the deployment of police teams, medical units, and traffic diversions in real time. Data-based crowd predictions enabled officers to act proactively instead of reacting to crises.
Static GK Tip: India’s National Crime Records Bureau (NCRB) manages nationwide CCTV-based surveillance systems for cities.
Tech Integration Through the Deepam 2025 App
The Deepam 2025 mobile app played a crucial role in public communication. It shared real-time details about medical camps, ambulance availability, food distribution points, lost-and-found support, and emergency contact numbers. This ensured that devotees stayed informed without depending solely on physical announcements. The app reduced panic and improved the overall movement of people.
Improving Traffic and Vehicle Flow
AI-based monitoring also enhanced vehicle regulation during the festival. Using live traffic visuals, the system identified bottlenecks and guided officers to redirect vehicles. The model helped in planning one-way routes, identifying illegal parking, and estimating peak pressure points.
Static GK fact: The first automated traffic signal in India was installed in Chennai in 1953.
Preventing Potential Hazards
The AI framework supported quick intervention during sudden surges in crowd flow. Alerts helped police plan staggered entry, manage barricades, and open alternative routes. Such predictive tools significantly reduce risks like stampedes, especially in large religious events.
Static GK Tip: The National Disaster Management Authority (NDMA) lists crowd management as a key component of mass gathering safety guidelines.
Moving Toward Smarter Festival Management
Tamil Nadu’s initiative demonstrates how AI can transform public safety during large gatherings. The success of the Tiruvannamalai deployment is expected to encourage similar integrations at other major events such as Mahamaham, Thiruvaiyaru festival, and New Year gatherings at Marina Beach. The model reflects India’s growing push towards smart governance in public spaces.
Static Usthadian Current Affairs Table
Intelligent Crowd Management Framework:
| Topic | Detail |
| Event | Karthigai Deepam festival crowd management |
| State | Tamil Nadu |
| Technology Used | AI-based crowd and vehicle monitoring |
| Accuracy Level | Around 95% for people and vehicle count |
| Monitoring Tools | CCTV-integrated AI system |
| Alert System | Crowd density alert at 4–5 persons per sq. metre |
| Public App | Deepam 2025 mobile application |
| Key Services on App | Medical, ambulance, food points, emergency support |
| Implementation Area | Temple surroundings and girivalam routes |
| Governance Impact | Improved real-time decision-making and safety management |
