Using Deep Turnaround, cameras on the apron can automatically detect the start and end times of the ground handling process, making it possible to predict the end time of the turnaround process and provide advance visibility of when an aircraft is ready to be pushed.
Four aircraft stands are equipped with cameras to monitor the turnaround process and the plan is to equip 14 stands with cameras next year.
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 to depart, giving the airport advanced knowledge if there is a chance of delay so action can be taken.
The information is recorded in the Turnaround Insights Dashboard, making it clear which flights need extra attention.
Mirjam van den Bogaard, Chief Operations Officer of Eindhoven Airport, said: “Eindhoven Airport works 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.”
Lennert L’Amie, IT & Data Director of Amsterdam Airport Schiphol, added: “The insights provided by data help to make the ground operation more predictable. We've collaborated with various stakeholders on Deep Turnaround to make the ground handling process more transparent. It's worthwhile to share this knowledge with other airports and learn from their experiences so that we can continue developing the product.”
