Xovis, a Swiss company, makes 3D stereovision sensors and the AERO platform that measure passenger flow and queues in airports. More than 120 airports run its systems.
Founded in 2008 with about 200 staff and owned by Capvis since 2019, it bought HELLA's people-sensing business in 2024. AERO uses machine learning to detect queues and reconfigure them automatically. Claims such as 14 of the world's top 20 airports and 99 per cent accuracy are its own.
San Diego (SAN) runs it across its new 30-gate Terminal 1, opened in 2025, and Prague (PRG) expanded it across its terminals. Curacao (CUR), Luxembourg (LUX) and Montevideo (MVD) are recent customers.
Aviation AI deployments and updates
01 / Deployed · limited scope
Xovis AERO passenger-flow platform at Montevideo Carrasco
Montevideo's Carrasco airport was a recent onboarding to Xovis's AERO passenger-flow platform, Xovis said in an Airport Technology interview published on 30 December 2024.
A Xovis case study says the airport has used Xovis systems for more than seven years.
Luxembourg Airport was a recent onboarding to Xovis's AERO passenger-flow platform, Xovis said in an Airport Technology interview published on 30 December 2024.
Prague Airport selected Xovis for passenger-flow management, Xovis announced on 30 June 2025, and said its AI-powered sensors would initially be installed at key points such as security and border control. Martin Kučera, the airport's chief operations and security officer, said Xovis had the market experience and reputation for quality the airport needed.
An award notice for an airport passenger-flow monitoring system, worth EUR 869,100 and naming Xovis AG, was published on 6 July 2025, according to the BidSonar mirror of the EU tenders journal. Xovis has not announced the installation as complete.
Curaçao Airport Partners said on 17 October 2025 that it had signed an agreement with Xovis to monitor processing times at Curaçao International Airport.
Xovis announced plans in August 2023 to install passenger-flow monitoring across Newark Terminal A, including security, check-in and gate areas. The system is intended to give terminal operators better visibility of passenger movement. The announcement describes a planned installation; operational use has not been confirmed.
Stuttgart Airport uses Xovis 3D stereovision sensors to manage passenger flow across the airport and in 2020 was planning to use them to manage social distancing, IATA's Airlines magazine reported on 4 December 2020.
Xovis AERO is Xovis' cloud-native, fully managed Passenger Flow Management System (PFMS) for airports.
The problem it addresses
Airport operators need real-time, accurate data on passenger flows from curb to gate to manage queues, allocate staff, comply with SLAs, and improve passenger experience - without high IT infrastructure costs or manual system maintenance.
Key features
Cloud-native fully managed service - zero-downtime automatic updates and security patches
Real-time dashboards for waiting times, queue lengths, passenger throughput, and process times
AERO Queue Detection - ML-based automatic queue detection that self-adjusts to layout changes
Heat maps for terminal hotspot identification
11 more features
SLA compliance monitoring tool
Web and mobile app access for dashboards
Customizable real-time alerts for queue thresholds
Historical reporting and data export
GDPR-compliant - sensors transmit coordinates only, no images
Integration API for third-party systems (AODB, FIDS, RMS)
Proactive monitoring and data sanity checks
Scalable to new terminal touchpoints without major IT projects
The PC2SE is Xovis' current-generation 3D stereovision people counting and passenger flow sensor for indoor environments. It replaced the PC2S-Series and is the most widely deployed Xovis sensor model.
The problem it addresses
Accurate, privacy-compliant real-time people counting and passenger flow tracking at airport terminals (check-in, security, immigration, gates, retail) and other indoor environments without capturing biometric data.
Key features
3D stereovision distance measurement for robust person detection
Mounting heights from 1.95 to 6 meters (6.4 to 20 feet)
Coverage area up to 35m2 (indoor variant)
Power over Ethernet (PoE) - data and power in single cable
9 more features
On-sensor edge processing - no external server required for image processing
AI extensions: view direction, gender expression estimation, object detection
Multisensor capability - unlimited sensors can be combined for large areas
SPIDER aggregation unit support for 10+ sensor deployments
Up to 8 counting lines and 8 zones per sensor
Up to 200 simultaneous person tracking
Data stored up to 120 days on-device
GDPR-compliant - transmits coordinates only, no images or biometrics
Mean time between failure (MTBF) of 25 years
Technical specifications (9)
Working principle: 3D stereo vision distance measurement
Mounting height: 1.95 to 6 m (6.4 to 20 ft)
Power: PoE Class 0 (IEEE 802.3af), less than 5W consumption
Required illumination: minimum 2 lux
Data storage: up to 120 days
Max simultaneous tracking: up to 200 people
Accuracy: up to 99%
MTBF: 25 years
Minimum person separation for detection: 20 cm (8 in)
Certifications and approvals
GDPR compliant (edge processing, no biometric data transmission)
Verified deployments
Václav Havel Airport Prague (PRG) – Xovis passenger-flow management at Prague Airport, contract awarded 2025San Diego International Airport (SAN) – Xovis passenger flow management system in San Diego International's new Terminal 1Istanbul Sabiha Gökçen (SAW) – Xovis PTS with 184 AI-enabled sensorsStuttgart Airport (STR) – Xovis 3D stereovision passenger-flow sensors at Stuttgart Airport
The PF-Series is Xovis' newest generation of 3D stereovision sensor (launched 2025-2026), designed for large-area analytics in high-density, operationally complex environments such as airport terminals.
The problem it addresses
Airport operators need comprehensive, real-time flow analytics across large terminal areas (concourses, check-in halls, security zones) but face high costs from deploying many smaller sensors. PF-Series reduces sensor count and installation costs while enabling advanced AI features on-device.
Key features
Coverage area up to 8x larger than PC-Series sensors
10x more processing power than PC-Series
Up to 7.9 TOPS CNN performance on AI-native NPU
NPU speeds up to 3x faster than widely used alternatives
9 more features
Quad-core CPU, GPU acceleration, and AI-optimized SoC (Synaptics)
Plug-and-play setup
New on-sensor KPIs including Attention Metrics
AI extensions: View Direction, Gender Expression Estimation, Object Detection
Flexible mounting heights: PF-L from 2 to 6 m (6.56 to 19.69 ft)
Supports predictive flow modeling and real-time analytics
SPIDER aggregation unit support
Privacy-compliant edge processing
Deployed at London Heathrow (LHR) as early adopter
Technical specifications (7)
AI processor: Synaptics AI-native SoC with NPU
NPU performance: up to 7.9 TOPS (CNN)
Architecture: quad-core CPU + GPU + AI-optimized NPU
Mounting height (PF-L): 2 to 6 m (6.56 to 19.69 ft)
Coverage: up to 8x that of PC-Series per unit
Processing power: up to 10x PC-Series
Connectivity: PoE
Certifications and approvals
GDPR compliant (edge processing)
Verified deployments
Václav Havel Airport Prague (PRG) – Xovis passenger-flow management at Prague Airport, contract awarded 2025San Diego International Airport (SAN) – Xovis passenger flow management system in San Diego International's new Terminal 1Istanbul Sabiha Gökçen (SAW) – Xovis PTS with 184 AI-enabled sensorsStuttgart Airport (STR) – Xovis 3D stereovision passenger-flow sensors at Stuttgart Airport
The PC3SE is Xovis' 3D stereovision sensor specifically engineered for high-ceiling airport and transit environments.
The problem it addresses
Airports and transit hubs with very high ceilings or wide-span areas (main halls, international arrivals, concourses) require sensors that can operate at greater heights without sacrificing accuracy.
Key features
Mounting height up to 20 m (65 ft)
Coverage area from 69.7m2 (750ft2) up to 100m2 (1,076ft2) per sensor
PoE (Power over Ethernet) for single-cable installation
Multisensor capability with SPIDER aggregation support
2 more features
On-sensor edge processing
GDPR-compliant numerical data transmission
Technical specifications (4)
Mounting height: up to 20 m (65 ft)
Coverage area: 69.7m2 to 100m2 per sensor
Power: PoE
Connectivity: Ethernet
Certifications and approvals
GDPR compliant
Verified deployments
Václav Havel Airport Prague (PRG) – Xovis passenger-flow management at Prague Airport, contract awarded 2025San Diego International Airport (SAN) – Xovis passenger flow management system in San Diego International's new Terminal 1Istanbul Sabiha Gökçen (SAW) – Xovis PTS with 184 AI-enabled sensorsStuttgart Airport (STR) – Xovis 3D stereovision passenger-flow sensors at Stuttgart Airport
Passenger-flow measurement system using ceiling-mounted AI sensors.
Verified deployments
Istanbul Sabiha Gökçen (SAW) – Xovis PTS with 184 AI-enabled sensors
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
Market context
Xovis is the global market leader in 3D stereo-vision-based passenger flow measurement for airports, competing directly with Outsight (LiDAR-based, also in the database).
Read the rest
The company's CEO has publicly engaged with the LiDAR vs. stereo-vision debate in 2025, reflecting intensifying competition.
Xovis' proprietary sensor approach (purpose-built hardware + software) is positioned as more accurate and privacy-compliant than camera-based systems.
Its 75+ airport customer base and 15+ year track record are strong moats for new wins.
Beyond airports, the Capvis investment funded expansion into retail and smart buildings.
Key competitors: Outsight (LiDAR), Veovo (analytics platform, in the database), and SITA's crowd analytics.
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.
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Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.
