Fracture location based on transfer learning

Abstract

At present, the automation of crack location in concrete wall is low, and most of them rely on manual crack location. Such manual location efficiency is low, and the error rate will be greatly improved due to long-time work. In order to solve this problem, a concrete crack location system based on transfer learning is proposed. By modifying the trained and mature deep learning model through transfer learning, a better crack location effect can be obtained in only a small number of samples and a short time. The experimental results show that the transfer learning method can effectively solve the problem of samples and time required for deep learning.