Image Based Detection and Inspection of Cracks on Bridge Surface Using an Autonomous Robot [Review]

Crack inspection is an important task in the maintenance of bridge and it is closely related to structural health of bridge. Currently it is done through a very manual procedure, an experienced human inspector monitors the whole bridge surface visually and try to detect cracks on the bridge and marks the location of crack. But this manual approach having some limitations such limited accuracy. Proposed research focuses on implementing a system having a robot, equipped with a camera to collect images of surface and a global map is created locating position of cracks. The robot will navigate on the bridge surface to collect the surface image data at predetermined locations. An image processing technique is used for processing the image and creating map of cracks. We will use different algorithm in image processing which can find out the cracks and non-cracks in an image. In this research we will create 2D-map which is essential and main aim of this work. Keyword: crack inspection, global map, image processing. __________________________________________________*****_________________________________________________