Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 4Q3-J-13-02
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Image-based AI system for evaluating surface-treated-concrete
*Michio IMAIManato NAKAMURAShuji MATSUMOTOSohei ARISAKAKenichiro TSUYUKITakekazu MATSUKAWAShuji YANAIChaninthorn AMORNSAWADDIRAK
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Abstract

In civil engineering structures under construction, quality evaluation of the surface-treated-concrete, which is a joint between fixed and fresh concrete, is critical for structural integrity. Although the authors had already developed an evaluation method based on a digital camera histogram of the targeted concrete, the method has a difficulty with dealing with a wide range of conditions. In this study, an AI-based method has been applied to this image processing application, and then advantages of deep learning has been successfully confirmed.

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© 2019 The Japanese Society for Artificial Intelligence
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