Edinburgh Airport adopts deep learning AI to enhance efficiency and reduce aircraft delays
Posted: 9 December 2024 | Gabriel Higgins | No comments yet
Edinburgh Airport introduces Deep Turnaround AI to optimise turnaround times, enhance efficiency, and predict delays with advanced technology.


Credit: Edinburgh Airport
Edinburgh Airport (EDI) has unveiled the adoption of Deep Turnaround, an innovative solution developed by Aviation Solutions, a subsidiary of the Schiphol Group, aimed at optimising aircraft turnaround operations and reducing delays. This partnership is set to assist Edinburgh Airport in overcoming capacity constraints, enhancing operational efficiency, and improving the passenger experience through precise data, streamlined processes, and better collaboration among airport stakeholders.
What is Deep Turnaround AI?
Deep Turnaround leverages advanced AI algorithms, machine learning, and apron-mounted cameras to automatically identify the start and end times of ground handling activities. This capability enables the prediction of delays and provides early insight into when an aircraft is ready for departure. The system fosters collaboration between airlines and ground handlers while fine-tuning overall airport operations.
Peter Barnes, Head of Business Transformation at Edinburgh Airport said:
“Innovation is a key part of our approach at Edinburgh Airport, and using AI to help improve our turnaround times is something we are very excited about. Deep Turnaround’s systems and use of technology have the potential to make our operations even more efficient, and we look forward to collaborating with our colleagues to bring this to fruition.”
“The right insights provided by data help make airport operations more predictable. We’re collaborating with multiple airports on Deep Turnaround, and we’re very proud and excited to add Edinburgh to our community of users.”
Caroline Massart – Director of Aviation Solutions.
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Related topics
Airport development, Artificial intelligence (AI), Ground handling, Innovation, Operational efficiency

















