Live headcount from the stadium's cameras, counting only with no face recognition, shown on the 3D twin so authorities see how every area fills and clear queues at the gates before they grow.
Scroll through one match day on the stadium twin. A simplified, illustrative view of the approach.
The 3D stadium is adapted from “Soccer Stadium” by R-LAB, CC BY 4.0
Gate counts say how many people came in, not where they are now, why a queue is growing, or whether a section is filling as it should.
Turnstile counts stop at the gate. Inside, nobody can see which sections are filling late or getting too full.
A crowd arriving at once, fans at the wrong gate or a fault at a turnstile all look the same from far away.
The people who decide on safety often work outside the operations centre and need the same picture, live.
Each camera's view is placed on the 3D model, so the counts become live occupancy colours section by section.
Each area is compared with how it normally fills for that stadium and that kind of match, so a late section stands out early.
Headcount at each gate is read with the turnstiles, so a growing queue comes with its likely cause and a suggestion to reroute.
occupancy in every section of the stadium
faces recognised: it counts, it does not identify
entry curves compared with past matches
A high-level view of the signals the analysis brings together.
A high-level view of the value for venue owners, operators and authorities.
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