Many of the coastal embankments have been maintained for over 50 years, and inspections for deterioration diagnosis are becoming increasingly important. In addition, for the inspection of coastal embankments is conducted by visual inspection, the inspecrtion efficiency is poor, and oversights are unavoidable, and survey results show artificial variation. Therefore, improvement of the inspection method is required. A public-private research platform was constructed to investigate the method of cost-saving or laborsaving of stock management of public facilities such as coastal embankments. We, a public-private research platform developed a degradation diagnostic system using a Unmanned Aerial Vehicle （UAV） -mounted digital camera to inspect the damage of degraded coastal embankments. The information necessary for the maintenance and management of the facility is automatically extracted using artificial intelligence （AI）, using the visualization information from the aerial image by the UAV.
