Next, an image data set including 1,330 crack images taken by the wall‐climbing UAS is established and used for training a deep‐learning model. Within this method, a wall‐climbing unmanned aerial system (UAS) is developed to acquire detailed crack images without distortion, then a wireless data transmission method is applied to fulfill real‐time detection requirements, allowing smartphones to receive real‐time video taken from the UAS. A real‐time crack inspection method is proposed in this study to address this difficulty. Existing inspection methods are inefficient and difficult to rapidly deploy. ![]() Crack information provides important evidence of structural degradation and safety in civil structures.
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