Abstract
Recently, assessing the integrity of the structures accurately and reliably has become extremely important in various fields in order to increase operational lifetime and improve safety. Detecting cracks in evaluating the soundness of the structure is particularly important as it is one of the major factors causing deterioration and destruction of the structure.
For the purpose of constructing an inspection system against spaces where an inspector is difficult to enter, we attempt in this study to develop a system that can detect crack in real time from the images of the whole structure photographed by UAV or web camera, by deep convolution neural network.
