What if the Haram itself could see its crowds — and act minutes before congestion forms? This concept film explores crowd intelligence on a digital twin of the Grand Mosque's operational environment.
The scenario
A live crowd heatmap breathes on the twin. Gates meter their flow in real time. Sanitation tasks dispatch themselves as consumption rises. A missing person is found through a bracelet signal — scanned, located, reunited. And before the courtyard fills, a predictive alert in Arabic guides pilgrims toward the rooftop Mataf.
What the film shows
Crowd forecasting and gate management on a navigable twin, sanitation scheduling with automatic dispatch, incident reporting with map and media, missing-person analytics with bracelet tracking, sensor and network health, and predictive push guidance — heat-stress detection included.
Classification
A concept demonstration built with simulated data and generated scenes. No deployment claim is made — this is the platform's engine, pointed at one of the hardest crowd problems on Earth.
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