APPARATUS AND METHOD OF IMAGE PROCESSING AND DEEP LEARNING IMAGE CLASSIFICATION FOR DETECTING ROAD SURFACE DAMAGE

摘要

Disclosed is an apparatus for detecting road damage. The apparatus includes: a photographing unit photographing a road; and a control module vertically projecting an image photographed so that a photographing direction becomes vertical when an angle formed by the photographing direction of the photographed image and the ground is not vertical, preprocessing the projected image, setting an interest area in a preprocessed area, performing a binary coded calculation by a plurality of parameters with respect to the set interest area, and extracting an alternative damage area, wherein the control module can predict a damage kind of the alternative damage area based on pre-learned road damage area information classifying the road damage area by type. Accordingly, the present invention is possible to prevent derivation accidents in accordance with road damage.