STUDY ON VARIANT EXTRACTION OF CONCRETE STRUCTURES USING IMAGE RECOGNITION 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. In this research, in order to solve this problem, we apply image recognition using deep learning to images acquired by digital cameras and conducted evaluations on a method that automatically assesses classifications related to ranking by detecting deformations. Additionally, through verification using images from actual structures, it was verified that image recognition using deep learning is an effective method of saving labor and improving efficiency in visual inspections.