Las Vegas airport unveils AI system to improve passenger monitoring
December 5, 2025
by
Airports AI Alliance
Harry Reid International Airport (LAS) has deployed an AI-based system in partnership with Zensors to provide real-time visibility of passenger movement, queueing and congestion across its terminals. The system converts the airport’s existing camera network into a continuous data source, replacing periodic manual checks with automated insight into conditions at security checkpoints and other busy areas.
The airport previously relied on scheduled staff counts to assess queue lengths and passenger volumes. The new system analyses live video feeds from more than 500 cameras to track passenger flow and identify crowding as it develops. This allows airport teams to adjust operations sooner, such as opening new lanes or redirecting queues during peak demand.
Airport leaders said the shift provides a more consistent view of conditions throughout the day. “What may appear to be a simple screen update is actually powered by sophisticated AI and machine-learning models, working behind the scenes to deliver accurate, real-time insights to our guests,” said Rishma M. Khimji, Chief Information Technology Officer at Harry Reid International Airport.
Scott Kley, Managing Director – Terminal Operations at LAS, said the tool has changed how staff respond to fluctuations in demand: “During chaotic times, I used to rely on calling staff to understand what was happening at the checkpoints. The Zensors AI solution completely changed that.”
For LAS, the move to AI-based monitoring reflects a broader trend toward operational tools that provide more immediate situational awareness without large infrastructure investments. By using the existing camera network, the airport has avoided installing new sensors or hardware to monitor queueing. The system provides alerts when congestion is likely to develop and gives operations teams a clearer picture of how passengers are moving through screening and other areas.
The airport is also using the data to support decision-making around staffing and resource allocation, particularly during major events when activity in Las Vegas can surge rapidly. The continuous feed of information is intended to improve predictability for both airport staff and airline partners.


