Actualités

GitHub1 a
Crack Detection using UAV and Image Processing Techniques
and advanced image processing algorithms to detect cracks in infrastructure such as roads, bridges, and buildings. This repository contains the necessary files and code for implementing crack ...
IEEE3 a
A Survey on Surface Crack Detection in Concretes using Traditional, Image Processing, Machine Learning, and Deep Learning Techniques
In Surface Crack detection different technology backed automated systems outperforms the traditional manual inspection and crack detection. With the help different computational aids like Image ...
IEEE3 a
A Survey on Surface Crack Detection in Concretes using Traditional, Image Processing, Machine Learning, and Deep Learning Techniques
In Surface Crack detection different technology backed automated systems outperforms the traditional manual inspection and crack detection. With the help different computational aids like Image ...
GitHub1 a
DYNAMIC-DETECTION-OF-SURFACE-CRACKS-USING-DEEP-LEARNING-AND-COMPUTER-VISION
to classify surface cracks with high accuracy.This project focuses on leveraging deep learning techniques to detect cracks in infrastructure, such as roads, bridges, and buildings. Cracks pose a ...
Frontiers2 a
Evaluation of crack propagation in concrete bridges from vehicle-mounted camera images using deep learning and image processing
In order to reduce the inspection work, an attempt is made in this paper to develop a new inspection method using deep learning and image processing ... surface of a 40-km monorail bridge, the running ...
Frontiers3 a
Lightweight Neural Network for Real-Time Crack Detection on Concrete Surface in Fog
This study implements a novel lightweight neural network based on the YOLOv4 algorithm to detect cracks on a concrete surface in fog. Using the ... considering the image characteristics of the ...
SciELO2 mois
Application of machine learning for crack detection on concrete structures using CNN architecture
The study of infrastructures on the dams, buildings, bridges and roads have been done by ... The model achieved 92% accuracy than the single classifier and image processing methods in crack detection ...
GlobalSpec6 a
Researchers using AI to improve crack detection in bridges, buildings
Researchers at Purdue University in Indiana are using artificial intelligence (AI) to improve crack detection in structures such as buildings, dams, bridges and nuclear reactors. Locating cracks and ...