Outsight Wins the Terminal Excellence Innovation Award at Inter Airport Europe 2025

Frequently Asked Questions

• What is the Inter Airport Europe Terminal Excellence Innovation Award?

  The Terminal Excellence Innovation Award is given at Inter Airport Europe, a biennial trade fair held at the Munich Trade Fair Centre that convenes airport operators, equipment manufacturers, and technology providers from across the global aviation industry. The exhibition covers innovations in passenger handling, baggage, and aircraft operations. The award specifically recognizes solutions that measurably advance airport efficiency and passenger experience, making it one of the more operationally focused distinctions in the sector rather than a general technology award. Outsight received this recognition at the 2025 edition, reflecting deployments such as Dallas Fort Worth and Paris-Charles de Gaulle where its SHIFT platform applies real-time 3D LiDAR intelligence across airport infrastructure.

• Can LiDAR-based passenger tracking handle crowds of tens of thousands of people at once?

  LiDAR-based passenger tracking can scale to tens of thousands of people simultaneously. The SHIFT platform, for example, is designed to track more than 50,000 passengers at once across a single deployment. That scale requires fusing data from many sensors into one shared point cloud, a capability known as shadowless perception, so that dense crowds do not create blind zones that break tracking continuity. Most camera-based or single-sensor approaches degrade under high crowd density because occlusion compounds rapidly. A networked LiDAR architecture, as deployed by Outsight at major hubs such as Dallas Fort Worth and Paris-Charles de Gaulle, maintains per-person tracking regardless of crowd size by distributing perception across infrastructure-mounted sensors rather than relying on any single vantage point.

• Why does a spatial intelligence platform run on CPUs rather than GPUs for airport deployments?

  GPU-based inference pipelines draw substantially more power per node than CPU-based ones, which matters at scale: a terminal with hundreds of sensors and edge processors can represent a significant electrical load. A platform engineered to run on CPUs lowers both the energy cost and the hardware procurement cost of the deployment. It also reduces the heat dissipation requirements in server rooms and edge enclosures, a practical constraint in retrofit installations inside existing terminal infrastructure. Outsight designed the SHIFT platform around a CPU-native architecture precisely for this reason, enabling large-scale airport deployments, including the world's largest 3D LiDAR airport deployment at Dallas Fort Worth, without imposing prohibitive power or cooling demands on existing facility infrastructure.

• How do airport operators access LiDAR flow analytics without replacing their existing dashboards?

  Spatial intelligence platforms designed for airport integration expose their metrics, including occupancy counts, queue depths, dwell times, and throughput rates, through documented APIs. Operators pipe those feeds into existing AODB, operations control, or facilities management dashboards rather than switching to a new interface. Outsight's SHIFT platform follows this API-first architecture, allowing airports like Paris-Charles de Gaulle and Bordeaux to layer 3D LiDAR analytics onto incumbent systems without retraining staff or displacing established workflows. This design means the sensor layer and the analytics layer can be upgraded independently, without disrupting the operator workflows already embedded across the organization.

• What operational pressures are driving airports to adopt data-driven flow management now?

  Three converging pressures are accelerating adoption. Passenger volumes at major hubs are recovering and in many cases exceeding pre-2020 levels, while terminal footprints have not expanded proportionally. Staffing shortages make manual queue management and gate reallocation less reliable than they were. Regulatory requirements around service levels, particularly minimum security wait times in European airports, create financial and compliance risk when real-time flow data is unavailable. Deployments such as those at Paris-Charles de Gaulle and Rome Fiumicino, where Outsight's SHIFT platform generates a real-time anonymous 3D view of passenger movement across the terminal, illustrate how infrastructure-based sensing addresses all three pressures within existing physical constraints. Together, these dynamics make reactive, intuition-based operations increasingly costly.

• Does a LiDAR spatial intelligence deployment require the same privacy compliance work as a video analytics deployment?

  The compliance workload differs substantially. Video analytics captures image data that may contain faces or identifying features, which typically triggers GDPR data-protection impact assessments, consent mechanisms, or anonymization procedures. LiDAR captures geometry and motion rather than pixels, so no face, license plate, or biometric record is ever created. Outsight's infrastructure-based approach reinforces this point: the SHIFT platform is anonymous by definition, because the sensor hardware never generates an image to begin with. That structural difference means the legal basis for processing is simpler, and the risk of a data breach involving personal data is eliminated at the sensor level, not managed through post-processing controls.