Our neural networks automatically generate reliable, unbiased timestamps for turnaround processes. It works for any event that is visually identifiable, such as onblock, GPU connect, first bag out, cleaning, catering, boarding, and many more.
Our machine learning algorithms use the generated timestamps and additional external data to predict the timing of key events during the turnaround, such as offblock, pushback-ready, etc.
Since our technology has situational awareness, hazardous situations can be detected and incidents can be prevented from happening. Among the dangerous situations identified are equipment/airbridge that has not been stowed properly, humans not wearing a high visibility vest, and foreign objects.
Our technology is generating data in near real-time.
We see our solution as one data source among several others (e.g., ACARS or the A-CDM). Thus, we provide an API that allows you to retrieve the raw data. You can then merge it with that of other systems, e.g., to automatically generate reports or use it for optimization projects.
Our system features a permission concept that allows you to share with yours partners exactly the data you want.
We’ve developed a straightforward approach to demonstrate our technology to you. It requires little involvement and effort from your end. A consumer-grade video camera and a window with a view on a stand are enough. Let’s get in touch and discuss!