operations with AI
We digitize the apron and make it more efficient, safer and sustainable by utilizing intelligent technologies:
Artificial Intelligence optimizes apron operations based on accurate inputs such as timestamps and predictions.
Computer Vision captures events in chaotic environments where different stakeholders are present. It can reliably detect any event that is visually identifiable. The resulting data helps manage operations more efficiently.
Our Machine Learning algorithms create accurate predictions and detect deviations from optimal procedures.
Yes, our system can be used with a wide range of cameras that are already installed at airports around the world.
Yes, during snow, rain, fog or sandstorms, the system stays within normal performance levels most of the time. Performance at night is often slightly better due to constant light sources on the apron.
Yes, our solution is fully GDPR-compliant. It has been used within many jurisdictions throughout the world, including Europe, where we were able to get the acknowledgement from multiple data security departments of airports and airlines.
The system can detect many objects on an aircraft stand and determine if the stand is clear for an aircraft to enter. It can also support the process of FOD check and determine whether it was performed properly.
Not necessary. If the camera position and the layout of the aircraft stand are similar, it is sufficient to calibrate the system once for these stands.
Yes, it runs in the cloud and on-premise.
When the cameras are placed correctly, and the quality of the cameras is good, multiple stands can be covered with a single camera. Nevertheless, the functionality of the system will be limited to some extent.
Yes, as long as the cameras allow you to see what is happening on the apron and the camera position is fixed (no PTZ or fixed PTZ).
The smaller the objects and the more subtle the events the system needs to detect, the higher the resolution of the camera should be.
We observe that the higher up a camera is installed, the more events can be detected. Decision on camera position is dependent on which processes are most important for the customer.
We have already worked with many VMSs in the past and our system can easily integrate with all the major VMS providers.
Our system can work with multiple cameras covering the same location / aircraft stand. Our existing customer installations normally use one to three cameras per stand. It is also common to install cameras in Passenger Boarding Bridges to detect boarding-specific events.