Using Deep Learning to Reduce Flight Delays at Schiphol Airport
santiago ruiz, Tosca van Meer
Inefficiencies in the flight preparation processes (turnaround) are accountable for around 30% of the total delays at Royal Schiphol Group (the Amsterdam airport). This process has been a black box and for this reason, it was quite hard to improve. To open the turnaround black box, Schiphol has developed technology based on computer vision using deep learning that detects many different turnaround-related tasks from images that are streamed from cameras located in the aircraft ramps in real time. In this session, we will explain how this project started, the technologies that we have applied, and the business impact that is generated at enabling the airport to reduce delays.
