Vision based defect detection technologies in civil structures: a review study

Computer vision has many applications in smart cities. In smart cities, applying recent vision-based technologies have been explored by researchers in civil structures. The research motivation for this review paper lies in the wide range of applications computer vision offers in smart cities. With a specific focus on civil structures, researchers have been exploring the utilization of recent vision-based technologies. The main objective of this paper is to investigate vision-based systems for crack detection in civil structures. The paper accomplishes this by reviewing current vision-based technologies, including image processing, machine learning, laser, and ultrasonic approaches, providing descriptions for each technique. Additionally, a comparative analysis of these approaches is presented. Furthermore, the paper addresses the challenges associated with fracture detection in civil construction and offers potential solutions to these problems, taking into account the research problems that have been addressed throughout the study.