Nagpur launches AI Nirikshak: AI-powered crowd management for high-density events
Nagpur City Police has launched an AI-powered Crowd Management Pilot during the Maharashtra Winter Assembly Session 2025. The initiative runs under the leadership of Dr. Ravinder Kumar Singal (IPS), Commissioner of Police, with Click2Cloud Technology Services as the strategic partner and technology support from Microsoft. The objective is simple: safer gatherings, faster response, and smarter deployment across a city that hosts large events year-round.
Nagpur is the winter capital and a frequent stage for major gatherings-Winter Assembly, Ganesh Visarjan, Deekshabhoomi events, festivals, cricket matches, and VIP movements. AI Nirikshak gives the police real-time intelligence to predict, detect, and act before a small issue turns into a serious incident.
AI Nirikshak: what it does
- AI-powered crowd density detection
- Heatmap-based hotspot detection
- Prediction of potential congestion zones
- Multi-source data fusion from CCTVs, mobile vans, and drones
- Risk flag alerts
- Real-time identification of weapons (knife, gun, sharp objects)
- Instant alerts for abnormal or suspicious activity
- Auto-tracking of suspects across multiple cameras
- Object-based alerts
- Detection of unattended bags
- Restricted-zone violations
- Barricade breaches, reverse movement, abnormal group formation
- Facial recognition for watchlist and suspect detection
- Alerts for watchlisted individuals entering sensitive zones
- Real-time movement tracking
- Integration with police databases
- Vehicle alerts in restricted zones
- Detection of unauthorized vehicles on VIP routes and no-entry roads
- Crowd footfall measurement
- Real-time people count at entry and exit gates
- Supports manpower planning and gate management
- Police AI Agent (chatbot)
- Instant retrieval of FIRs, suspects, and vehicle history
- Summarized incident updates for faster coordination
Technology backbone
The platform runs on Microsoft Azure, with Click2Cloud's AI Orchestration Engine layered over integrated CCTV and digital surveillance networks. It is built for speed, scale, and continuous operations.
- Alert latency under one second
- 24×7 monitoring
- Scalable, GDPR-friendly architecture
- Enterprise-grade analytics
For context on the cloud stack, see Microsoft Azure.
Operational impact for leaders
- Prevent overcrowding and stampede-like situations with early warnings
- Speed up police response with automated detection and tracking
- Increase VIP route security and reduce unauthorized movement
- Improve situational awareness for commanders on the ground
- Deploy manpower based on real-time footfall and risk signals
- Establish a repeatable model that can scale across Maharashtra
Where this matters most in Nagpur
- Maharashtra Winter Assembly Session
- Ganesh Visarjan processions
- Deekshabhoomi events and major festivals
- Cricket matches and high-footfall venues
- VIP movements and sensitive corridors
Dr. Ravinder Kumar Singal (IPS), Commissioner of Police, Nagpur, said: "Our goal is to make Maharashtra a national leader in AI-powered crowd management, starting from Nagpur and eventually scaling across the state."
Governance and rollout checklist
- Define incident categories, thresholds, and escalation paths
- Create SOPs for risk flags (weapons, unattended objects, restricted zones)
- Audit watchlists and database integrations with clear access controls
- Establish privacy, retention, and compliance policies for video and biometrics
- Run drills to validate alert accuracy, response time, and inter-agency coordination
- Train control room teams to use the AI Agent and dashboard summaries
KPIs to watch
- Median alert-to-dispatch time
- False positive and false negative rates by alert type
- Crowd clearance time per hotspot
- VIP route adherence and unauthorized-entry incidents
- Officer hours saved via automated monitoring
- System uptime and latency during peak load
What's next
The pilot sets a template for city-scale crowd intelligence. With the architecture already 24×7 and scalable, the next step is statewide adoption with consistent standards, shared learnings, and integrated training.
If you lead operations or public safety teams and need focused upskilling on AI use cases, explore relevant programs here: AI courses by job.
Nagpur City Police acknowledges the contributions of Click2Cloud Technologies, Microsoft, and the officers who helped bring this initiative to life.
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