Advanced AI research for enhancing the efficiency of infrastructure maintenance and management

Abstract

With the development and advancement of AI technology, research on the application to the field of infrastructure maintenance is actively progressing. Many of these studies focus on the development of learning theories that consider the characteristics of images obtained in infrastructure maintenance. The effectiveness of AI has been demonstrated in various tasks such as crack detection, classification of defect types, and estimation of degradation levels. On the other hand, to truly enhance the operational efficiency through AI, it is necessary to construct AI systems considering the practical business. Furthermore, to improve AI and continuously utilize AI, it is necessary to acquire images suitable for AI development in operations. Therefore, this paper introduces the learning theories that have been developed for images obtained in infrastructure maintenance, previous research on AI with essential function for the practical business and the authors’ idea on efficient image acquisition.