Crack Detection based on Crack Types Using Machine Learning Techniques

Abstract

Due to severe deterioration of concrete surface infrastructure assets require frequent inspection and repair. Furthermore, unavoidable circumstances such as road accidents may occur because of defected infrastructure. Therefore, a proper civil infrastructure inspection system is essential to avoid unwanted circumstances as well as prevent traffic disruption. Manual inspection has been employed for a long time using heavy and large equipment by civil engineers to assess the structural defects. The time- consuming and labor-intensive nature of this type of inspection system causes traffic disruption.