Eindhoven Airport, in cooperation with Schiphol Airport, is using Artificial Intelligence (AI) to further improve the aircraft turnaround process and minimise delays.
Using Deep Turnaround, cameras on the apron automatically detect the start and end times of the ground handling process. This makes it possible to predict the end time of the turnaround and have advance visibility of when an aircraft is ready to push.
Currently, four aircraft stands are equipped with cameras to monitor the turnaround process. The plan is to equip all 14 aircraft stands with cameras by 2024.
Predictable turnaround process
Images from the cameras are analysed by an AI-based algorithm that records when an activity starts and stops. Once enough images have been analysed, AI learns to predict when an aircraft is ready for departure. This shows in advance if there is a chance of delay, allowing the airport to take action at that time. All information is recorded in the Turnaround Insights Dashboard. This makes it clear at a glance which flights need extra attention.
Mirjam van den Bogaard, chief operations officer at Eindhoven Airport, said: “The airport is working continuously on the further optimisation of airport processes. Deep Turnaround is a valuable instrument that contributes to this, both on the ground and in the air. The latter is something more long term. Our aim is to be able to predict as accurately as possible when aircraft can depart. There is still a lot to be gained for passengers, airlines and our sustainability ambitions.”
Image: Eindhoven Airport
