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Metrolla — Airport-wide anonymous 3D LiDAR perception data spanning terminal, apron and curbside on a single fused map: checkpoint and security queue length and wait time, gate-area occupancy and boarding-zone dwell, bag-drop and check-in throughput, curbside drop-off dwell and congestion, ramp and ground-vehicle tracking, worker-versus-passenger classification counts, and safety event streams (wrong-direction, perimeter intrusion, after-hours occupancy, apron proximity). What makes this distinct is not just coverage but track quality: entities carry persistent IDs across sensor handoffs, so …
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Airport-wide anonymous 3D LiDAR perception data spanning terminal, apron and curbside on a single fused map: checkpoint and security queue length and wait time, gate-area occupancy and boarding-zone dwell, bag-drop and check-in throughput, curbside drop-off dwell and congestion, ramp and ground-vehicle tracking, worker-versus-passenger classification counts, and safety event streams (wrong-direction, perimeter intrusion, after-hours occupancy, apron proximity). What makes this distinct is not just coverage but track quality: entities carry persistent IDs across sensor handoffs, so an individual passenger or vehicle is followed as an anonymous track through the whole journey rather than counted per zone. Raw video and point clouds are processed at the edge and never leave the airport, so the exportable asset is the derived track and metric layer
Scale Per fully instrumented siteFrom 2 yearsCoverage Information Technology · Industrials
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Metrolla — Airport-wide anonymous 3D LiDAR perception data spanning terminal, apron and curbside on a single fused map: checkpoint and security queue length and wait time, gate-area occupancy and boarding-zone dwell, bag-drop and check-in throughput, curbside drop-off dwell and congestion, ramp and ground-vehicle tracking, worker-versus-passenger classification counts, and safety event streams (wrong-direction, perimeter intrusion, after-hours occupancy, apron proximity). What makes this distinct is not just coverage but track quality: entities carry persistent IDs across sensor handoffs, so …
Metrolla offers (Alternative, Geospatial, Supply Chain) — Per fully instrumented site, order 10^8-10^9 anonymous track records and 10^6-10^7 zone-metric rows annually, because continuous multi-sensor tracking of every person and vehicle on a fused map produces far higher resolution than per-minute zone counting — entities are tracked, not merely tallied. Estate-wide volume is however near zero today: volume is proportional to installed sites, and the installed base is plausibly pre-scale. This is a per-site volume leader with an estate-volume gap.
Apron and ramp safety model training, including ground-vehicle proximity and worker-prediction near-miss datasets, which are scarce and largely unobtainable from camera systems on liability and privacy grounds; airside turnaround and turn-time optimisation keyed to stand-level vehicle and gate data; staffing forecast models separating labour demand for staff from passenger; checkpoint lane-openness decision models; curbside management and kerb-charge or drop-off pricing studies; fully privacy-clean pedestrian and vehicle trajectory datasets for behaviour modelling and autonomous ground-vehicle training, since tracks are anonymous by construction; and regulatory or safety-event corpora from intrusion and wrong-direction logs
The data is with 2 years of history.
Coverage spans US, UK, Other; Electronic Equipment, Airport Services; alternative, geospatial, supply_chain; equities.
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