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Data & AI Use Cases in Operations

Real-Time Passenger Flow Optimization Using Computer Vision

Use Case Use Case Family: Predictive Analytics & Forecasting, Computer Vision
Business Domain Business Domain: Operations
Process 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 Target Group:
Airport operators Terminal management Security service providers
Potential Industries Potential Industries:
Aviation Transport infrastructure Security services
Limited Risk
Limited Risk systems Art. 50
with Transparency Obligations according Art. 50 EU AI Act
Disclaimer The information provided regarding the risk assessment is without guarantee. The complete classification of a use case according to the EU AI Act depends on numerous regulatory and company-specific factors. Therefore, the risk assessment is always case-specific. The risk assessment logic of Casebase is used for this purpose.