News

A wall climbing detection robot has been developed that can stably adsorb and walk on concrete building walls, navigate to crack locations, and perform real-time recognition and data recording. To ...
This repository presents an innovative approach for the automated detection and analysis of concrete cracks utilizing deep learning techniques, particularly the YOLO (You Only Look Once) algorithm.
Abstract: Computer vision which uses Convolutional Neural Network (CNN) models is a robust and accurate tool for precise monitoring and pixel-level detection of potential damage in concrete structures ...
The detection and measurement of crack at pixel level is a challenge to existing methods. To overcome this challenge, this paper proposes a convolutional encoder-decoder network (CedNet) to detect ...
Looking for a new avenue of research, Golding started to delve into the processes behind automatic ways cracks in concrete infrastructure are detected using technology such as drones. “Essentially, ...
By using automated crack-detection systems, we can reduce the number of errors and inaccuracies and make inspections faster and more precise. Going forward, both these methods will help inspection ...
Researchers developed a three-step computer vision framework using YOLOv8 and image processing techniques for efficient concrete crack detection and measurement. The method demonstrated high ...
Crack Detection in Concrete, 3D Printed Buildings Made Possible by Adding Graphene Oxide Published on January 16, 2024 by Madeleine P. Engineering students at the public research university Royal ...
Monocular vision and image-enhanced fractal science offer a new approach for non-contact detection of underwater concrete cracks, improving inspection accuracy. AZoBuild 26m ...