Vision based controller design with the application to a 3D overhead crane system

Abstract

This proposed work designs controller using vision feedback for an overhead crane. This approach searches the image features and computes the useful vision based information in terms of several tracking areas block in each frame. According to the lightest or darkest point in the tracking area of a dynamic object; this work determines the trolley position and load swing for controller design. Experimental results verify effectiveness of the proposed work.