Results 1 to 10 of about 129,556 (187)

Crack Detection of Concrete Images Using Dilatation and Crack Detection Algorithms

open access: yesApplied Sciences, 2023
Crack detection in structures is an important and time-consuming element of monitoring the health of structures and ensuring structural safety. The traditional visual inspection of structures can be unsafe and may produce inconsistent results.
Byeong-Cheol Kim, Byung-Jik Son
doaj   +2 more sources

Crack U-Net:Towards High Quality Pavement Crack Detection [PDF]

open access: yesJisuanji kexue, 2022
Pavement cracks constitute a major potential threat to driving safety.Previous manual detection methods are highly subjective and inefficient.Current computer vision methods have limited applications in crack detection.Existing models have poor ...
ZHU Yi-fan, WANG Hai-tao, LI Ke, WU He-jun
doaj   +2 more sources

Using the improved YOLOv11 model to enhance computer vision applications for building crack detection algorithms [PDF]

open access: yesScientific Reports
With the acceleration of urbanization, building crack detection has become an important task for ensuring the safety of structures. Traditional detection methods face challenges such as low efficiency and high error rates.
Xiaohu Gao, Chunmei Cao, Xiaojing Yi
doaj   +2 more sources

A Novel Approach for UAV Image Crack Detection

open access: yesSensors, 2022
Cracks are the most significant pre-disaster of a road, and are also important indicators for evaluating the damage level of a road. At present, road crack detection mainly depends on manual detection and road detection vehicles, with which the safety of
Yanxiang Li   +3 more
doaj   +1 more source

Detection and classification of asphalt pavement cracks using YOLOv5 [PDF]

open access: yesمجله مدل سازی در مهندسی, 2023
Automatic pavement crack detection is essential for assessing road maintenance and ensuring safe driving. Traditional crack detection has problems such as low efficiency and lack of complete detection.
hassan hosseinzadeh   +2 more
doaj   +1 more source

A Review of Detection Technologies for Underwater Cracks on Concrete Dam Surfaces

open access: yesApplied Sciences, 2023
Cracks seriously endanger the safe and stable operation of dams. It is important to detect surface cracks in a timely and accurate manner to ensure the safety and serviceability of a dam. The above-water crack detection technology of dams has been widely
Dong Chen, Ben Huang, Fei Kang
doaj   +1 more source

Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module

open access: yesSensors, 2021
Pavement crack detection is essential for safe driving. The traditional manual crack detection method is highly subjective and time-consuming. Hence, an automatic pavement crack detection system is needed to facilitate this progress.
Wenting Qiao   +4 more
doaj   +1 more source

Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging

open access: yesPhotonics, 2023
Non-contact and non-destructive polarization 3D imaging uses a passive, single-frame array image to calculate 3D information, making it possible to obtain high-precision 3D information about tunnel cracks, and offering outstanding technical advantages ...
Yue Zhang   +7 more
doaj   +1 more source

A Direction-Sensitive Microwave Sensor for Metal Crack Detection

open access: yesApplied Sciences, 2022
For metal crack nondestructive detection, most conventional crack sensors are unable to realize the crack direction detection. In this work, a direction-sensitive microwave sensor is proposed for metal crack detection.
Boyang Qian   +5 more
doaj   +1 more source

Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network

open access: yesSensors, 2020
Crack detection on dam surfaces is an important task for safe inspection of hydropower stations. More and more object detection methods based on deep learning are being applied to crack detection.
Chuncheng Feng   +4 more
doaj   +1 more source

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