土木分野におけるIoT/AIのあり方（2)

[CS10-17] Support Method for Diagnosing Degradation of the River Revetment using Deep Learning and SfM

*藤井 純一郎¹、嶋本 ゆり¹、天方 匡純¹、大久保 順一¹ (1. 八千代エンジニヤリング（株）)

Keywords:Artificial Intelligence, Deep Learning, Structure from Motion, Management, Revetment, Efflorescence

The management of river revetment is mainly based on qualitative management dependent on human resources, and improvement of work efficiency is required. For this purpose, detection and diagnosis of the degradation needs to be performed based on quantitative data. We propose a method for automatically extracting absolute position and size of the degradation from images using deep learning and SfM (Structure from Motion) , and confirmed its technical feasibility by experiment. It was shown that quantitative information necessary for the degradation diagnosis can be automatically obtained.