CCTV Zone Density Monitoring
“Predict bottlenecks 15 minutes before they form using edge AI.”
Machine vision for crowd analytics, predictive fleet dispatch, queue prediction, and WhatsApp-based visitor concierge — all powered by edge AI and interactive digital high-accuracy maps.
The AI predicts crowd surges 15 minutes before they happen and proposes optimized shuttle routing on an interactive digital map. The dispatcher authorizes with one tap.
The same AI serves two audiences — dispatchers get fleet routing alerts, while visitors get real-time queue predictions via WhatsApp.
Dispatcher: fleet redirect authorization
Visitor: real-time queue prediction
Don't just count visitors. Naya scores experience by correlating time spent in queues vs. experience zones, proving exactly how wait times cannibalize in-park POS revenue.
Fuses ticket presales, historical data, and weather forecasts to predict crowd surges, automatically generating shuttle and gate staffing schedules 24 hours in advance.
Edge-controlled digital signage automatically routes crowds based on live machine vision thresholds (e.g., 'Gate 3 is full, proceed to Gate 5 for 2 min wait').
Smart City capabilities effortlessly deploy to Plantations. We use this exact fleet dispatch engine to route dump trucks, and the machine vision pipeline to count FFB yields.
From crowd analytics to fleet dispatch — all without cloud dependency.