DEVELOPING A WEB SYSTEM FOR BRIDGE INSPECTION UTILIZING IMAGE CAPTIONING TECHNOLOGY

Abstract

With the need to establish efficient methods for infrastructure management, it is important to build a system that anticipates the social implementation of technologies such as deep learning. In this study, a web system for bridge inspection applications utilizing image captioning technology is developed, and the optimal design of the system design obtained in the process is summarized. Furthermore, the system developed in this study is designed to take advantage of data obtained in the process of the system being used by users, so that the system can continuously incorporate civil engineering expertise. We also showed that adding new data from users' use to the teacher data leads to an improvement in the accuracy of deep leaning.