Home / 
Automatic object detection on airport runways

Use Case

Automatic object detection on airport runways

Runways are controlled by air traffic controllers observing the runways from the tower. As this task requires constant attention and the detection of security sensitive objects on the runway or in the air, Computer Vision can support air traffic controllers.

1

Process

Air traffic controllers are constantly observing the runway from the tower and give instructions to pilots and airport operators according to the current status on the runway, the weather conditions and exceptions to the rule such as swarm of birds.

2

Algorithm

Object detection algorithms can support air traffic controllers by detecting different classes of objects in videos and alert air traffic controllers if exception from the rules apply. These exceptions can be learned over time and Computer Vision can support in the evaluation of the scene.

3

Decision

The algorithm can be trained to evaluate scenes automatically or to ask for human review in cases of uncertainty. This can reduce the stress level of air traffic controllers and increase the accuracy of evaluation significantly.

More Use Cases

Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.

Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.

Diagnostic suggestions can be made by analyzing X-ray or MRI images using an algorithm.

Companies working with thousands of customers and suppliers need to categorize their documents so that requests can be handled in time.


Find out what dida can do for you