Pittsburgh airport uses AI for wait-time calculation

The new system gives passengers an estimate of how long they will wait for security check

Passengers at Pittsburgh airport now have a huge advantage. Thanks to the implementation of a new artificial intelligence system, they can see how long they will wait in line for security check and plan their time accordingly. 

Passengers can see the wait-time estimates on the airport’s information screens throughout the Landside Terminal — Beth Hollerich / Pittsburgh International Airport Pittsburgh airport uses AI for wait-time calculation artificial intelligence
Passengers can see the wait-time estimates on the airport’s information screens throughout the Landside Terminal — Beth Hollerich / Pittsburgh International Airport
 

The airport has recently teamed up with a Pittsburgh-based company Zensors that has installed closed-circuit cameras to monitor the security check lines an estimate the time passengers will spend there with a two-minute tolerance.  

To monitor the wait time, Zensors uses a specially trained neural network. It continually observes and learns how long passengers are waiting in line and adjusts the estimates every minute.  

Besides, the system also weighs factors such as the time of day and how many TSA agents are currently on duty which helps it to come up with the most accurate estimate possible.   

Furthermore, apart from a real-time calculation of current wait time, it can also predict when the time will increase and decrease. 

Pittsburgh might become the world’s smartest airport

To be truly up to date, passengers can see the wait-time estimates on the airport’s information screens throughout the Landside Terminal as well as on the airport’s website.

“We know security can be a frustration for travellers and having accurate wait estimates can help set expectations and aid in planning trips,” said Pittsburgh International Airport CEO Christina Cassotis.

According to Zensors, passengers will soon be able to monitor wait times at the alternate checkpoint as well since the cameras are currently being installed.

“Airports are a perfect use case for this type of technology. We’re applying deep learning in a way that can really become a game-changer for passengers and airport operations,” said Anuraag Jain, head of product at Zensors. 

“We’re excited to help turn Pittsburgh into the world’s smartest airport.”