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Isarsoft (Isarsoft Perception) — Passenger-journey and terminal-operations data derived from an airport's existing IP camera estate, with the explicit differentiator that it is positioned against boarding-pass data: where a boarding pass gives a snapshot of demographics and destination, this captures continuous movement. Concretely it yields multi-camera journey tracks showing how a traveller actually walks a terminal, high-precision overhead counts at entrances and checkpoints, flow patterns and crowding, gate occupancy, ground-vehicle movements, queue and wait-time analytics with a named pr…
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Passenger-journey and terminal-operations data derived from an airport's existing IP camera estate, with the explicit differentiator that it is positioned against boarding-pass data: where a boarding pass gives a snapshot of demographics and destination, this captures continuous movement. Concretely it yields multi-camera journey tracks showing how a traveller actually walks a terminal, high-precision overhead counts at entrances and checkpoints, flow patterns and crowding, gate occupancy, ground-vehicle movements, queue and wait-time analytics with a named production use at Salzburg Airport's arrivals area, live operational KPIs, and security detections for unauthorised access, tailgating, abnormal behaviour and left-behind items
From 7 yearsCoverage Information Technology · IndustrialsAsset class Equities
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Isarsoft (Isarsoft Perception) — Passenger-journey and terminal-operations data derived from an airport's existing IP camera estate, with the explicit differentiator that it is positioned against boarding-pass data: where a boarding pass gives a snapshot of demographics and destination, this captures continuous movement. Concretely it yields multi-camera journey tracks showing how a traveller actually walks a terminal, high-precision overhead counts at entrances and checkpoints, flow patterns and crowding, gate occupancy, ground-vehicle movements, queue and wait-time analytics with a named pr…
Isarsoft offers (Alternative, Geospatial, Sentiment) — Order 10^7-10^8 metric rows and 10^6-10^7 journey track segments per airport per year, before any aggregate across the estate. Basis: an operating airport typically runs hundreds of cameras, and the product derives continuous metrics plus cross-camera journey segments from them, so per-site volume scales with existing camera density rather than with a sparse new sensor grid — this is the structural advantage of reusing installed cameras. A named arrivals-area deployment alone at a mid-size European airport generates millions of journey segments annually. Estate-wide volume remains modest, being proportional to a single-digit customer count.
Multi-camera person re-identification and trajectory model training, where anonymous clothing-and-shape re-ID data is one of the few commercially obtainable sources of real cross-camera association labels outside academic benchmarks; terminal wayfinding and layout design validated against actual walked paths rather than assumed routes; retail conversion and concession analysis using arrivals-area and departures journeys, which is the commercial dataset with a natural buyer in airport retail property; queue and staffing optimisation with the staff-exclusion label improving labour-attribution accuracy; arrivals-flow modelling for ground transport, parking and kerb management, matching the named Salzburg arrivals use; security-behaviour detection training for tailgating and left-behind-object events; and a boarding-pass-versus-observed-movement comparison dataset of genuine interest to aviation consultants and revenue analysts
The data is with 7 years of history.
Coverage spans Europe, Other, UK, US; Application Software, Airport Services; alternative, geospatial, sentiment; equities.
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