Airport passenger flow and
queue analytics.
AI computer vision on existing CCTV monitoring passenger movement and immigration queue conditions in real time — surfaced in Power BI dashboards and a mobile app used by ground staff, partners, and management.
Reactive operations. No visibility of queues.
An international airport wanted to improve its understanding of passenger movement across key zones, particularly within immigration halls where long queues often created delays and dissatisfaction. Without accurate, real-time visibility of passenger volumes or queue lengths, the airport struggled to optimise staffing, manage peak periods, or proactively address congestion. Operational decisions were largely reactive, and the absence of historical queue data made it difficult to predict demand or improve long-term planning.
AI on existing cameras. Real-time and historical, side by side.
AI models were trained to detect and count passengers across different airport zones, measure queue lengths within immigration, and track patterns throughout the day. Real-time density and queue insights were surfaced alongside a growing historical dataset — visualised in Power BI and pushed into a mobile app for the people running the floor.
Model training & zone setup
AI models trained to detect and count passengers across each airport zone, with queue-bound and exit definitions for immigration halls.
Real-time + historical insights
Live passenger density and queue conditions generated automatically while a rich historical dataset accrued in parallel.
Power BI dashboards
Real-time queue monitoring dashboards built for operations teams across terminals.
Mobile app integration
Insights pushed into a mobile app used by ground staff, partnering organisations, and management.
Computer vision on the cameras you already have.
Eye4.ai's video analytics layer ran directly on existing CCTV infrastructure — no new sensors, no new hardware. Insights flowed into Power BI and the operational mobile app via a single analytics platform.
Reactive operations, replaced.
A passenger experience that holds at peak.
Queue wait accuracy
Real-time visibility into immigration queues — accurate to 90%.
Throughput accuracy
Passenger throughput measured to 95% accuracy across zones.
Cost effectiveness
2–4× more cost-effective than sensor-based alternatives.
Proactive response
Operations teams intervene during peak surges; historical data supports better rostering and planning.