Author(s)

Xiong Hui, Li Geng

Corresponding Author

Xiong Hui

ABSTRACT

Based on the mathematical model of convolutional neural network, the database is built by taking images of external walls by unmanned aerial vehicle; a crack detection system for external wall and its facing material is established by software and hardware. The system can effectively identify the severity, general or slight damage degree of external wall cracks, and the effective identification rate is 86%, 91% and 97% respectively.

KEYWORDS

Convolutional neural network, Crack detection, Image processing