Shortening queues at airports through eye-tracking technology
Long queues and waiting times at airports are a source of annoyance. Scanning hand luggage is time-consuming and therefore one of the causes of the long queues at airports. The Scantech project uses technology that speeds up the scanning process.
Eye-tracking technology is the core of the solution, because security officers automatically look at the riskiest area. This method is a spin-off of a project in which geologists from TNO wanted to check 3D models of subsurface for errors, which showed that experienced people unconsciously immediately look at the place with the greatest risk of errors. The system registers risks based on the number of seconds that the eyes of the security staff linger in a place. As a result, suspicious content is noticed more quickly and the risk of a false alarm is reduced.
Faster and more efficient scanning
The same technique can be applied at the airport, with which the scanning process can be accelerated and made more efficient. With Scantech the scanning time can be reduced from 13 seconds to 2 to 4 seconds. JOA is refining the technology with machine learning technology. In addition to being useful at airports, this technology is also applicable for scanning trucks and ships.
“Eye-tracking technology makes this a very interesting project, because it is not standard technology but really nicely made and ingenious. In addition, I think the aim of the project is good, because everyone is sometimes disturbed by long lines at the airport, a process that can be made much more efficient with eye-tracking technology. The collaboration with JOA scanning was good and went smoothly, it was nice to visit on site in Soesterberg. I found it inspiring to see how someone started a company and used his network well to realize things. That’s nice to see. “- Dirk
- Python in combination with Kivy
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