Mar 15, 2025 · This paper proposes a framework based on point cloud data for the detection and quantification of intricate concrete surface cracks, which significantly advances the field of …

2 days ago · Additionally, the model achieves an average detection time of 10.20 ms per image, demonstrating its practical feasibility. This study not only improves the accuracy and speed of …

In response to the growing demand for more advanced crack detection techniques, this paper presents CrackVision, an advanced framework that leverages Transfer Learning (TL) to …

Cracks reflect the safety of concrete structures. Existing crack detection has the disadvantages of low efficiency and high errors, however, using image deep learning to recognize cracks avoids …

2 days ago · Training Deep Learning Segmentation Models Using Super-Resolution Crack Images for Detection of Thin Concrete Cracks

4 days ago · Regular crack detection is essential for extending the service life of bridges. However, the image data collected during bridge crack inspections are complex to convert into …

Mar 1, 2019 · Crack detection is a critical task in monitoring and inspection of civil engineering structures. Image classification and bounding box approaches have been proposed in existing …

1 day ago · Damaged areas in concrete structures comprise a variety of multi-scale, multi-form, and widely distributed cracks and voids, which have different frequency-dependent sensitivities …

This repository contains the dataset for the implementation of Keras MaskRCNN on concrete cracks. You can refer to this for training on custom dataset.

Nov 19, 2024 · To achieve efficient concrete crack detection, this paper proposes a single-stage concrete crack detection model, DetCrack, composed of a fundamental feature extraction …

Apr 30, 2019 · To overcome these challenges, this paper proposes an image-based crack detection method using a deep convolutional neural network (CNN). A CNN is designed …

1 day ago · Download Citation | On Apr 1, 2025, Leiming Zheng and others published A real-time crack detection approach for underwater concrete structures using sonar and deep learning | …

Abstract: This paper presents a computer vision-based method to automatically detect concrete cracks. We focus on images containing the concrete: background and crack, where the …

Jul 19, 2023 · Crack detection is crucial in monitoring the health of infrastructural buildings. As seasons change and the level of moisture remains inconsistent across the year and also due …

Jan 15, 2024 · The detection method based on computer vision is equipped with digital imaging equipment for data acquisition, input, and image processing to automatically analyze and …

1 day ago · The deep hash deduplication algorithm proposed in this paper can be applied to streamline the dataset for concrete visual inspection, which is of great significance for the …

Mar 17, 2023 · Automatic inspection for crack detection and estimation of the crack depth is critical in assessing the damage and determining the appropriate method of repair in concrete …

Jul 24, 2021 · In this paper, we propose a new methodology for crack detection and monitoring in concrete structures. This approach is based on a multiresolution analysis of a sample or a …

Feb 27, 2023 · Choosing the right inspection method to detect cracks in concrete is crucial. It ensures accurate detection and proper evaluation of the structure’s condition, leading to safer …

Directeur général adjoint chez Voies navigables de France · Expérience : Voies navigables de France · Formation : École Polytechnique · Lieu : Paris · 500 relations ou plus sur LinkedIn. …

PDF | On Dec 12, 2019, Laurent Schmitt and others published Sustainable Management of the Upper Rhine River and Its Alluvial Plain: Lessons from Interdisciplinary Research in France …

Transformer pour améliorer, modifier les organisations pour accélérer les prises de… · Expérience : Roquette · Formation : Toulouse INP-ENSIACET · Lieu : Lestrem · 415 relations …

May 4, 2023 · Cracks in concrete surfaces are one of the most prominent causes of the degradation of concrete structures such as bridges, roads, buildings, etc. Hence, it is very …

Responsable RH transverse chez Biogroup · Expérience : BIOGROUP · Formation : IGS-RH · Lieu : Strasbourg · 500 relations ou plus sur LinkedIn. Consultez le profil de Coraline Munier …