ArenaOS AI
for Smart Venues.
ArenaOS AI combines live operational telemetry, spatial visualization, and AI‑assisted incident response into a unified command experience.
Traditional operations are fragmented
Venues today run on dozens of disconnected screens. When an incident happens, operators piece together the situation manually — losing critical seconds.
- Siloed CCTV grids with no spatial context
- Radio communication causing response lag
- Fragmented BMS, access control, fire dashboards
- Reactive decision-making under pressure
- One unified 3D command center for all systems
- AI copilot with numbers-driven incident analysis
- Live interactive digital twin synced to reality
- Proactive, predictive situational awareness
Everything in one system
Every subsystem is intrinsically linked to the core intelligence engine.
Live Digital Twin
A physically accurate 3D stadium mapped to real-time sensor telemetry. Every occupancy change, every zone alert, rendered live.
AI Copilot
Analyzes structured incident data and generates operational recommendations. Supports optional LLM integration for advanced contextual reasoning.
Computer Vision Pipeline
Supports webcam‑based occupancy estimation today and is architected for future RTSP/IP‑camera integration.
Predictive Analytics Prototype
Demonstrates how AI‑driven crowd forecasting can be integrated into the operational workflow.
Multi‑Agent UI
Visualizes collaborative AI agents responsible for monitoring, analysis, planning, and response. The architecture supports future autonomous orchestration.
Drone Dispatch
Visualizes coordinated drone deployment as part of the incident response workflow.
Incident Response
From detection to resolution in seconds. The operator approves — ArenaOS executes, logs, and summarizes the impact.
From physical reality to digital command
A seamless, real-time pipeline: sensors feed AI, AI drives the twin, the twin empowers decisions.
Built on a modern intelligence stack
Four layers. One coherent operating system.
Divyansh Kumar
B.Tech Artificial Intelligence & Data Science
Why I built ArenaOS AI
ArenaOS AI started from a simple question: why are operators still forced to monitor dozens of disconnected screens during critical incidents?
Modern venues generate enormous data from CCTV, sensors, access control, and building systems — but that information is scattered across silos. When a crowd surge or medical event occurs, there is no unified picture of reality.
I built ArenaOS AI to demonstrate how Digital Twins, Computer Vision, and AI agents can collapse that complexity into a single spatial command center — where the software explains the situation and the operator makes the call.