THE AIRPLANES INTELLIGENT VISUAL MONITORING SYSTEM

Volodymyr Puyda, Maksym Oleksiv, Andriy Myts

Abstract

The paper is devoted to the first stage of airplanes intelligent visual monitoring system development. The system will consist of 2 videocameras, video input, video output and video processing units (nowadays the model of the system with one camera is developed). Cameras are positioned on a two opposite sides of a landing strip in a way to provide for a visual measurement of distance from camera to a landing plane using sterescopic method. Each videocamera inputs one frame that is digitized and transferred to the video processing unit. Airplanes are recognized and identified on each video frame during video processing. Depending on weather conditions the video processing unit can use one of a possible mixes of methods of an inputted frame digital filtering and one of two segmentation methods. When the weather conditions provide for a high contrast of an airplane on a scene it is enough to use only one of the segmentation methods to get a full airplane’s silhouette. On the other hand, when there is a fog or rain and visibility is low we have to use also image filtration to make scene’s contrast higher. We also get pixel coordinates of rectangular corners that contain an airplane’s silhouette during segmentation. This gives us a possibility to use the sterescopic method for a recognized and identified airplanes distance measurement.<BR />The system can be used in airports for approaching airplanes additional automated visual control and landing when their altitude is too low for proper radar control or radar control in airport is absent at all.

Keywords

digital image processing, artificial intelligence, intelligent measurement

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IMEKO-TC14-2013-32.pdf

DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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