DETECTION OF DETERIORATION AREA ON CONCRETE SURFACE USING SEGMENTATION METHOD BY DEEP LEARNING

Abstract

In maintaining and managing social infrastructure, saving labor and improving efficiency in visual inspections is one of the urgent issues in the recent years. Therefore, in this study, in order to solve this problem, we apply segmentation method using deep learning to images acquired by a digital cameras and examined a method that automatically detects the deformation and classifies the degree of damage. In addition, we also investigated a method that uses depth images, and confirmed that the RGB-D camera is an effective device for labor saving and efficiency of visual inspection.