Small Retailer
Built for Real Airport Operations
Passenger flow monitoring purpose-built for daily airport operations, delivering reliable visibility across key operational touchpoints such as security, immigration, and boarding.
The system provides governed, structured data outputs with automated reporting, enabling consistent performance tracking. Designed for scalability, it supports phased deployment across terminals while maintaining standardised metrics, ensuring long-term operational consistency and decision-making support.
Queue Length
Average Waiting Time
Processing Throughput
Inflow and Outflow Rate
Serving Time
Active Desks
Where Passenger Flow Monitoring Is Used
Airports apply passenger flow monitoring at the points where congestion, delay, and capacity imbalance most directly affect operations.
Optimised Coverage.
Lower Cost.
Using fewer devices, FootfallCam achieves full coverage across approximately 37,000 sq ft across security and border control areas, eliminating blind spots through optimised placement and advanced tracking algorithms.
Lower Total Cost of Ownership
- Up to 30% fewer devices required for full area coverage
- Up to 40% reduction in deployment cost
- Lower cost per sqf through optimised coverage design
- Reduced cabling complexity, installation effort, and long-term operational overhead
People Counters for All Environments
Airports can select from a range of people counters, with multiple counting technologies tailored to different use cases across various areas, ensuring accurate passenger flow monitoring and operational efficiency.
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From Counting to Intelligent Journey Tracking
Traditional Systems
Basic counting
No journey tracking
Hardware heavy
FotfallCam
Re-ID tracking
Path linking
High trolley detection
Staff vs passenger detection
IATA LoS-Aligned Airport KPI Framework
Passenger flow KPIs aligned with IATA Level of Service (LoS) principles and other global airport standards including ACI and ICAO frameworks, enabling consistent measurement of waiting time, congestion, throughput, and processing performance.
KPI Coverage:
- Waiting Time (avg / P95 across checkpoints)
- Queue Length (real-time and peak conditions)
- Throughput (passengers per lane / hour)
- Occupancy & Density (service level thresholds)
- Processing Time (end-to-end passenger flow)
Flow Analytics & SLA Performance
Traffic Flow Grid Dashboard
Real-time grid view of queues, providing alerts for congestion management.
Airport-Wide Operation Monitoring
Provides a macro view of the SLA across all areas, enabling immediate rectification of congestion in real time.
Live Operational Dashboard
Live Gate Flow Monitor. Monitors live queue status, allowing detailed analysis of individual lane waiting times.
Airport-Wide Operation Review
Gain insights into operational performance and SLA compliance across all areas and hours.
Curb-to-Flight Journey
Monitor passenger flow from curbside to gate, covering dwell, retail activity, and boarding patterns.
Gate Flow Playback Report
Replays queue data to identify bottlenecks and optimise service throughput.
A Deployment Model That Scales
Airports typically deploy passenger flow monitoring in stages. A common approach:
- Start at one operational area
- Expand to adjacent touchpoints
- Standardise reporting across terminals
This approach allows airports to adopt passenger flow monitoring at a practical pace while maintaining consistency.
Hybrid Counting Across Three Technologies
3D Stereo Vision Technology
Uses 3D sensors at entry/exit points to deliver accurate bidirectional counting with top-down views, ensuring precise occupancy tracking in defined passageways.
AI-Powered Video Analytics
Leverages existing CCTV to monitor large spaces, track occupancy and queues, and provide insights where sensor installation is challenging.
Entry and Exit-Based Occupancy Counting
Calculates occupancy using IN–OUT logic, tracking queue lengths and area usage across large zones to improve flow management and operational efficiency.
System Architecture Tailored for Airport Operations
FootfallCam V9 System Architecture offers AI-driven predictions, real-time dashboards, and AODB integration, enabling occupancy tracking, simulations for flight delays, and seamless data management via mobile apps for the airport industry.
Working with Airport Operators
Accuracy Assurance
Each counters’ accuracy be will audited by recording a video and comparing the difference between systemic and manual count.
Data Privacy
The only data sent out by the sensor is a constant stream of moving dots, each dot representing a passenger.
Project Management
Experienced in management for large scale project to take accountability for a successful enterprise delivery for every roll out projects.
Installation
Providing assistance and support for installation remotely through ad-hoc or on-demand remote session.
System Integration
Setting the standards for ease of use, extract data with pre-built connectors to your business intelligence.
Support and Maintenance
Dedicated project manager to take accountability and to resolve issues at any moments’ notice.
How it Works?
3D Stereo Vision via 3D People Counters
Integrating CCTV with Centroid
Occupancy Counting based on Entry and Exit
3D Stereo Vision via 3D People Counters
3D Stereo Vision via 3D People Counters
3D Counters at each passage to measure the number of IN and OUT:
- Processing rate of each station.
- Direction of traffic flow to different sections of the airport.
- Waiting times
- Customer journey time
Integrating CCTV with Centroid
Integrating CCTV with Centroid
- Measures the number of passengers queuing or waiting in an area
- Metrics Measured:
- Live Occupancy by Areas
- Queue Length
- Accuracy may be affected by occlusion at times
Occupancy Counting based on Entry and Exit
Occupancy Counting based on Entry and Exit
- IN minus OUT method for large areas:
- Metrics Measured:
- Queue length at each service station
- Occupancy levels of each section of the airport
Deployed for Day-to-Day Operations
FootfallCam supports daily airport operations by managing security queues, balancing immigration lanes, monitoring gate congestion, and reviewing service performance, enabling informed, routine decision-making beyond just exceptional events.
Case Studies
See all Case Studies in United States
