Real-Time Passenger Flow Optimization
Use Case Family
Predictive Analytics & Forecasting, Computer Vision
Business Domain
Operations
Processes
Passenger Flow Management
Challenge
Airports struggle to handle peak hours without increasing wait times or compromising safety. Traditional systems react slowly to crowding, resulting in inefficiencies and dissatisfied passengers.
Solution
A computer vision AI system analyzes video feeds in real time to detect crowd patterns, bottlenecks, and queues, recommending proactive actions like rerouting or adjusting staff allocation. Predictive models help forecast passenger volumes in advance.
Benefits
- Reduced wait times and congestion through dynamic flow control
- Improved staff planning with predictive insights
- Increased passenger satisfaction and terminal safety
Target Group
Potential Industries
Risk Classification (EU AI Act)
Limited Risk systems
Art. 50
with Transparency Obligations according Art. 50 EU AI Act
