Outsight crosses 280 million passengers under real-time measurement, from the busiest US hubs to Singapore Changi

Frequently Asked Questions

• How many passengers does a 280-million-passenger-per-year LiDAR deployment actually process in raw data terms?

  At the scale Outsight describes, the platform processes over 2 terabytes of 3D sensor data per minute across its airport network. To put that in context, a single LiDAR sensor emits hundreds of thousands to millions of 3D points per second, so a multi-terminal airport with dozens of sensors generates a continuous torrent of point-cloud data. Edge processing compresses that into structured entity streams before any data reaches a cloud layer, keeping bandwidth costs manageable.

• What does a curbside Motional Digital Twin actually show operations staff in real time?

  A curbside Motional Digital Twin tracks every vehicle and pedestrian across both departures and arrivals levels simultaneously, updating continuously. Operations staff see dwell-time readings per vehicle, overstay alerts when a vehicle exceeds a defined threshold, wrong-zone parking flags, vehicle speed by zone, and congestion density by time of day. The view is fully anonymous: no license plates or faces are captured, only 3D geometry and motion.

• Can the same spatial intelligence platform cover both small regional airports and major international hubs?

  Deployments in the Outsight network range from Bordeaux Airport, which serves roughly 6 million passengers per year, to airports ranking among the world's busiest by volume. The same platform scales across both because sensor coverage expands zone by zone and the analytics layer is configured per touchpoint rather than per airport size. A regional airport typically starts with one or two high-value zones (security, check-in) and extends coverage over time using the same data layer.

• How does a 3D LiDAR platform replace stereovision people counters at airport checkpoints?

  Stereovision counters produce aggregate head counts and estimated wait times at fixed points; they do not track individuals across zones or maintain continuous journey records. A 3D LiDAR platform assigns each person a unique anonymous ID from the moment they enter a monitored area and maintains it through every touchpoint, producing per-individual dwell time, queue position, and trajectory rather than zone-level averages. This shift from sampling to continuous individual tracking is what allows predicted wait times and per-zone throughput KPIs.

• Why do airport robots need a site-wide spatial awareness layer in addition to their own onboard sensors?

  Onboard robot sensors cover only what is directly in front of the robot, typically a few meters, and cannot see around corners, through crowds, or past static obstacles. A shared infrastructure-based spatial layer gives every robot on site a real-time map of where all other moving entities are across the entire terminal, including people, vehicles, and other robots. This allows a robot to plan routes and avoid conflicts before they become close-range collisions, rather than reacting when its own sensors detect an obstacle.

• What role does a Motional Digital Twin play in Agentic AI systems deployed at airports?

  Agentic AI systems need structured, time-stamped, spatially referenced facts to reason about the physical world and prescribe actions. A Motional Digital Twin supplies exactly that: complete individual journeys, behavioral events (queuing, dwelling, congestion forming), and forward-looking demand forecasts, all organized within a single spatial and temporal reference frame. Without this structured input, an AI agent working on airport operations would have to infer spatial context from unstructured video or fragmented sensor feeds, which limits the precision and reliability of any recommendations it produces.

• Which airports are running the Spatial Intelligence platform at scale?

  The platform runs at some of the busiest airports on the West Coast, the East Coast and in the central United States, at Rome Fiumicino, where Aeroporti di Roma extended it across nearly all Schengen common-use areas, and at Singapore Changi across all four terminals. It is also deployed at Bordeaux Airport in Hall A and at Costa Rica's Aeropuerto Internacional Juan Santamaría. In total, more than 280 million annual passengers travel under the real-time measurement of the platform, which processes over 2 terabytes of 3D data every minute. Each site feeds a live Motional Digital Twin of how passengers and vehicles move through the terminal.

• What does a Motional Digital Twin report at each airport touchpoint, from curbside to immigration?

  At every touchpoint, from curbside to check-in, security screening, duty free, lounges and immigration, Outsight's platform produces dozens of current and predicted KPIs, including wait times, queue length, occupancy, throughput and resource allocation. Each touchpoint is rendered as a live Motional Digital Twin built on continuous individual tracking and behaviour understanding. Operations teams receive the results through a Dashboard, immediate Alerts, and an API that plugs into existing airport systems. At Singapore Changi, these measures from all four terminals feed a single unified data layer.

• What is the largest airport curbside deployment of 3D LiDAR Spatial Intelligence?

  The world's largest airport curbside deployment of Spatial Intelligence based on 3D LiDAR runs at one of the world's busiest US airports, where Outsight monitors the international terminal's curbside end-to-end in real time across both departures and arrivals levels. The frontage is rendered as a live Motional Digital Twin. The system went live ahead of the FIFA World Cup 2026 and ran throughout the tournament, giving curbside teams a second-by-second, fully anonymous picture of every vehicle and passenger. Teams receive dwell-time and overstay alerts, wrong-zone parking alerts, vehicle speed monitoring and congestion insight by zone, level and time.

• How does LiDAR-based passenger flow measurement compare with stereovision people counters?

  Stereovision people counters have produced approximate counts and wait times at airport touchpoints for years. Outsight's Spatial Intelligence, built on 3D LiDAR, takes over that role at the same touchpoints and then extends across the full journey from curb to gate. It adds continuous individual tracking, behaviour understanding and dozens of current and predicted KPIs with laser precision, all within one Motional Digital Twin. The platform supports more than 210 LiDAR sensor models, fuses the 3D data with cameras, WiFi, boarding pass information and POS, and captures only geometry, with no facial or personally identifiable data.

• Is real-time passenger flow measurement useful for mid-sized airports as well as major hubs?

  Yes, the value reaches every scale of operation. Bordeaux Airport, serving nearly 6 million passengers a year, deployed Outsight's platform in Hall A to reduce passenger waiting times by matching resources to real-time demand. Costa Rica's Aeropuerto Internacional Juan Santamaría has adopted the same solution. These sites run the same platform as the busiest US hubs, Rome Fiumicino and Singapore Changi, and coverage extends zone by zone, so a smaller airport can start with the touchpoints that matter most and grow from there.

• How many airport passengers travel under real-time measurement, and how much data does the platform process?

  More than 280 million annual passengers travel under the real-time measurement of Outsight's Spatial Intelligence Platform, as announced in September 2026. The platform processes over 2 terabytes of 3D data every minute across the dozens of airports that run it. These include some of the busiest hubs in the USA, Rome Fiumicino in Europe and Singapore Changi in Asia. Outsight presents the milestone as evidence of a generational switch in how airports measure passenger flows.

• Which Schengen areas at Rome Fiumicino does the platform cover after the arrivals immigration phase?

  Rome Fiumicino, ranked among the world's top 10 airports by Skytrax, started with a successful initial phase in the arrivals immigration area. The deployment then extended across nearly all Schengen common-use areas, including check-in halls, security lanes and gate areas. Aeroporti di Roma took the platform from its "Runway to the Future" innovation program to this industrial-scale rollout. The platform turns real-time movement into actionable insight on people flow, queue formation and congestion across the passenger journey.

• What other data sources are fused with 3D LiDAR to measure airport passenger flows?

  Outsight's Physical AI Platform leverages 3D LiDAR sensing and fuses this 3D data with data from any other source, including cameras, WiFi, boarding pass information and POS. The platform is compatible with more than 210 LiDAR sensor models from all relevant manufacturers, so each terminal and zone is equipped with the sensors best suited to its layout. All of these sensors feed the same data layer, with coverage extending zone by zone. The 3D measurement itself is anonymous by definition, since the sensing captures only geometry.

• Does airport passenger measurement with LiDAR collect facial data or personal information?

  Outsight's airport passenger measurement is anonymous by definition, because the 3D sensing captures only geometry. It records no facial data, no personally identifiable information and no identification of individuals. The platform still measures queues, occupancy, throughput and wait times at each touchpoint, along with continuous individual tracking across the journey. At one of the busiest US hubs, this gave curbside teams a fully anonymous, second-by-second picture of every vehicle and passenger.

• How does Singapore Changi Airport use Spatial Intelligence across its four terminals?

  Singapore Changi Airport measures key touchpoints such as arrival immigration and taxi queuing continuously across all four terminals with Outsight's platform. All these measurements feed into a single unified data layer. At each touchpoint, passenger journeys are translated into operational measures including current and predicted wait times, queue length, occupancy and throughput. This record supports real-time operations, evidence-based planning and passenger experience design over time.

• What curbside alerts did a major US hub receive during the FIFA World Cup 2026?

  At one of the world's busiest US airports, Outsight's curbside system went live ahead of the FIFA World Cup 2026 and ran throughout the tournament. It monitored the international terminal curbside end-to-end across both departures and arrivals levels as a live Motional Digital Twin. Curbside teams received dwell-time and overstay alerts, wrong-zone parking alerts, vehicle speed monitoring and congestion insight by zone, level and time. The picture of every vehicle and passenger was second-by-second and fully anonymous.

• How does a Motional Digital Twin prepare airports for Agentic AI in operations?

  A Motional Digital Twin structures physical reality into complete individual journeys, behaviours and predictions within one spatial and temporal reference. This structured, contextualized data is what Agentic AI systems need to act in the physical world. With it, such systems can report facts, uncover insight, forecast demand and prescribe actions. Outsight presents the live replica each airport builds with its platform as the foundation for this next step.

• How can mobile robots in airports benefit from a shared Spatial Intelligence layer?

  The live replica that airports build with Outsight's platform acts as a shared awareness layer that extends to mobile robots. It gives every robot on site Global Situation Awareness beyond its own line of sight. As a result, robot fleets from any vendor can perceive, plan and act with knowledge of the entire premises. Outsight positions this as part of the foundation for robotics in airports, alongside Agentic AI. This awareness comes from the same infrastructure-based Physical AI that measures passenger flows.

• What recognition did Gartner give in the Hype Cycle for Physical AI, 2026, for Ambient Intelligence?

  Outsight was recently named a leading vendor for Ambient Intelligence in the Gartner Hype Cycle for Physical AI, 2026. Outsight cites this recognition in the context of its shared awareness layer for Agentic AI and robotics. Its Spatial Intelligence Platform builds a live Motional Digital Twin that structures physical reality into complete individual journeys, behaviours and predictions. The same layer extends to mobile robots, giving every robot on site Global Situation Awareness beyond its own line of sight.

• How do airport operations teams receive real-time KPIs and alerts from the platform?

  Each touchpoint measured by Outsight's platform produces a live Motional Digital Twin with dozens of current and predicted KPIs, including wait times, queue length, occupancy and throughput. Real-time information reaches operations teams through a Dashboard and immediate Alerts. An API lets airports integrate the data with their existing airport systems. This setup applies across the full journey, from curb to gate, with continuous individual tracking and behaviour understanding.

• How many passengers are tracked by LiDAR passenger flow systems worldwide?

  LiDAR-based passenger flow measurement has reached large scale. More than 280 million annual passengers travel under the real-time measurement of Outsight's Spatial Intelligence Platform, across some of the busiest US hubs, Rome Fiumicino, Singapore Changi, Bordeaux and Costa Rica's Juan Santamaría airport. The platform processes over 2 terabytes of 3D data every minute. This scale reflects a broad industry shift from approximate counting toward continuous, individual-level flow measurement.