Paper Title
Real Time Inspection of Concrete Structures using Computer Vision and Deep Learning
Abstract
In this paper, a novel method for crack detection is proposed which involves training a classifier with raw images
of concrete surfaces with a broad range of image variations. The images are taken from a complex engineering building
using a decent camera. Once the cracks are captured via a camera, several pre-processing techniques are applied for
highlighting the cracks. The prepared training image set is fed into an object detection model for separating cracked from
intact concrete images in the validation set. Once the crack has been detected, they can be classified into different types
based on their severity, structural impact, and size. Such data can form the basis of a decision support system which can be
used for the structural analysis of a building.
Keywords - Concrete Cracks, Structural Analysis, Deep Learning, Computer Vision, Image Pre-processing