At Schiphol, we are working towards improving airport processes by developing data-based solutions. One of the most critical processes that we are improving is the turnaround process. This includes activities such as aircraft fuelling, the catering process, loading and unloading luggage, and others. To be able to create actionable insights into this process, Schiphol has developed a solution that uses computer vision and deep learning to detect many turnaround processes in real-time from cameras located in ramps, coupled with traditional machine learning to build on the turnaround data. Such as using turnaround data to predict the expected end time of a turnaround process. You can find more information about the Deep Turnaround solution here: https://lnkd.in/eJK7JzXi. There is a lot of potential in this data for augmented decision making. For example, delays in a turnaround can impact processes such as gate planning, runway slot usage, or other turnarounds. Having this data accessible and usable on the go is crucial for a smooth and safe operation.
- Comfortable using SDKs
- Able to integrate back and front end systems
- Independent and proactive
- Passionate about the potential of augmented reality and the impact of this technology to solve real-life relevant projects
- NOTE: I do not speak dutch myself. So, the intern has to speak English.
You will be part of a multidisciplinary team and you will collaborate with different stakeholders to design and develop such a prototype.