The solution developed by Aviation Solutions, a subsidiary of Schiphol Group, utilises AI algorithms, machine learning and cameras on the apron to automatically detect the start and end times of ground handling processes.
This makes it possible to predict delays and provides advanced visibility of when an aircraft is ready to push.
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.”
Caroline Massart, Director of Aviation Solutions, added: “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.”
Deep Turnaround uses AI to detect and report over 30 unique turnaround processes and combines the information with flight information to provide live insights on performance and predict potential delays.
It can detect delays up to 40 minutes before the targeted off-block time, allowing for proactive decision-making by operational staff.
Historical data makes post analysis easier.
Deep Turnaround is expected to be live in operations in Q1 of 2025 and will be rolled out at multiple stands.
