Feb 23, 2024 · We found that a robust backbone network, such as Densely Connected Convolutional Network (DenseNet) can effectively extract the features characterizing cracks of …

Nov 1, 2023 · In this paper, a new automated method for crack detection, segmentation, and measurement is proposed, while the crack detection is integrated with segmentation to end-to …

Aug 7, 2024 · Localized point velocities obtained via 3D-DIC were transformed into 2D color images for machine learning segmentation. A novel dataset processing technique was utilized …

Mar 22, 2025 · Abstract. Real-time monitoring and prediction of damages are essential for safe and efficient operation and maintenance of infrastructure. This paper presents a digital twin …

Feb 11, 2025 · In response to the growing demand for more advanced crack detection techniques, this paper presents CrackVision, an advanced framework that leverages Transfer Learning …

1 day ago · Structural health monitoring has been very important for maintaining infrastructures’ safety, reliability, and service life. Traditional SHM techniques thrive under a few conditions but …

In this work, we present an embedded AI model for real-time concrete crack detection, considering the trade-offs between model complexity and accuracy.

5 days ago · The performance of the proposed framework using SR images in both training and testing ranged between 85% and 90% compared to that of the topline scenario using HR …

Dec 24, 2024 · Damage due to cracking can be detected through either manual visual methods or machine vision techniques for early prevention and maintenance. In recent years, image …

Model Training and Fine-Tuning: Develop a robust and accurate AI model capable of detecting and classifying cracks in structural elements. Contour Detection for Localization: Apply contour …

Jul 2, 2022 · Researchers have explored automated crack detection in concrete infrastructures, emphasizing crack identification, categorization, crack length, and width measurement.

Mar 29, 2025 · 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 …

Oct 2, 2024 · This shows that the constructed method has a high crack fine detection performance. In addition, the developed method has better segmentation performance in …

Using AI for crack detection and segmentation. Learn why it’s important to detect cracks in industrial settings and how crack detection using deep learning models like Ultralytics YOLOv8 …

Jul 29, 2024 · Our methodology involves an exhaustive search of the Scopus database using keywords related to crack detection and machine learning techniques. Among the 129 papers …

Jan 1, 2022 · Structural images are used for various purposes, e.g., automatic locating of cracks, classifying the cracks, and measuring crack properties to monitor the structure for proper caring.

Dec 12, 2023 · Image processing methods are employed to review the captured pictures of the structural elements and to determine every possible defect. In addition to image processing, …

Apr 1, 2024 · Through this work, design, fabrication, and optimization of a dual-scale resonance-based microwave sensor is discussed for monitoring cracks developed over metallic surfaces.

Jan 27, 2022 · In this paper, a comprehensive literature review of deep learning-based crack detection studies and the contributions they have made to the field is presented.

4 days 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 | …

Dec 1, 2023 · To address these issues, this article provides a comprehensive overview of state-of-the-art machine vision and machine learning-based techniques for pavement crack detection,...

4 days ago · Classic deep-learning models also struggle in the complex environments of mining areas. To address this, we propose an enhanced algorithm, YOLOv8-CSM, for open-pit mine …

Aug 14, 2021 · Automatic crack detection deals with using technologies to identify cracks from infrastructures. The level of degradation can be determined by analyzing the length, width, …

Oct 24, 2023 · AI-based Crack features can be extracted using hand-crafted feature engineering with computer vision and automatic feature extraction with a deep learning approach—AI …

Mar 26, 2025 · Abstract: Road crack detection is crucial for infrastructure maintenance and traffic safety, yet existing methods struggle to balance detection accuracy and computational …

Mar 3, 2021 · Artificial Intelligence takes the lead, and more specifically, Deep Learning by training our machines to be able to replace the human in the tedious task of detecting cracks on …

Jan 27, 2022 · The main step of performing crack detection using computer vision techniques is to extract crack sensitive features which can be done by leveraging either Image Processing …