Deep Turnaround
Deep Turnaround
A breakthrough use of Computer Vision, an AI technology, that enables low maintenance and rapid optimisation. It enables out-of-the-box performance at new stands and the data-centric AI dramatically reduces implementation time at your airport.
Camera’s at every stand send snapshots to the cloud every 5 seconds.
Two camera’s per stand ensure all turnaround events can be tracked
A slightly top-down view is preferred to ensure good visibility
Masking (dark vs light area) assures that only relevant events are processed
A new ramp with similar camera perspective will have instant reliable predictions
The end-to-end AI model accurately registers exactly what’s going on at the apron, in real time.
By using a single AI model for all airports, many turnaround events at your airport will immediately be recognised, ensuring a high performance from the start.
Continuous performance monitoring immediately shows where the model can be improved to quickly optimise to ensure high data accuracy.
The combination of the end-to-end model, the single AI model across airports, and continuous monitoring ensures that Deep Turnaround delivers value at your airport, quickly.
(Note: Raw export from Deep Turnaround, see visual interpretation in next section)
Whether real time or historical, Deep Turnaround provides you with actionable insights.
A stand-alone dashboard, showing all Deep Turnaround data, is available to immediately share with every turnaround stakeholder. An API is available to integrate the data into your preferred systems.
Predictions of turnaround delays enable ground handlers to allocate people and equipment, and set accurate and realistic Targeted Off-Block Times (TOBT). Gate planners know exactly when gates are available for incoming flights so they can reduce potential conflicts.
Reviewing historical data gives insights in causes for turnaround delays, enabling you to optimise processes in a targeted way.
Data generated by Deep Turnaround helps improve the on-time performance and improves the collaboration between the airport and sector partners to drive value.
Optimised stand utilisation Deep Turnaround provides a greater certainty of the actual push back time, enabling gate planners to reduce the buffer time between flights, increasing overall capacity.
Improved TOBT setting Reduce last minute gate changes, reduce time and complexity to become a CDM airport or unlock the benefits of CDM through higher accuracy.
OTP improvement Deep Turnaround helps reduce turnaround delays and potential related penalties.
Better resource and asset management PAX/BAX coordinators can optimise their schedule through real time predictions and apron personnel can decide to re-prioritise to avoid idle time.
Automated timestamps Accuracy in recording delay codes enables realistic goal setting serves as a basis for conversation and collaboration.
Sustainability improvements More efficient turnaround processes lead to lower carbon emissions because engines are not running too long; additional use cases are expected, shortly (APU detection).
Improve safety Safety on the platform can be improved by signalling potential hazards (e.g. cones placed, fuelling after passenger disembarked, stand cleared, FOD detection).