2020427· Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system
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2024520· The achievement of this article promotes the UAV vision-based bridge’s surface crack inspection technology to a new status that no preparation for pasting calibration marker is needed, and crack identification, segmentation, and width calculation are realized promptly during the UAV flying on-site, as well as damage evaluation for bridges is
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5. Advanced Features of Modern Concrete Block Machines a) High-Efficient Vibration Technology Machines such as ZN900/ZN1000 Automatic Block Making Machine utilize German vibration technology, enhancing block compaction and eliminating air gaps, resulting in denser and more durable blocks. b) Hydraulic and Frequency Conversional Control The automatic hydraulic …
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1116· To quickly obtain bridge surface crack information to assist bridge condition assessment or maintenance, computer vision technology is used in this paper to quantitatively identify bridge surface cracks. The features of the bridge surface in different parts of the bridge may be quite different. To carry out crack identification research in a targeted manner, first, a …
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2024121· Quantitative assessment of cracks in concrete bridges is crucial for structural health monitoring and digital twin. However, the training of crack segmentation models relies heavily on annotation resources, and their segmentation capabilities are often unsatisfactory in terms of the accuracy of boundary location of thin cracks encountered in practice. In this …
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1228· Abstract Conventional methods for bridge inspection are labor intensive and highly subjective. This study introduces an optimized approach …
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12· Additionally, a machine vision method based on hybrid feature learning and UAV technology was proposed for analyzing bridge cracks and determining their width [4]. Images collected during crack detection are frequently low-quality, have complex backgrounds, and are heavily contaminated with light and noise [5].
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1116· AbstractTo quickly obtain bridge surface crack information to assist bridge condition assessment or maintenance, computer vision technology is used in this paper to …
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Digital Twin Framework for Bridge Structural Health Monitoring Utilizing Existing Technologies: New Paradigm for Enhanced Management, Operation, and …
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2024520· The achievement of this article promotes the UAV vision-based bridge’s surface crack inspection technology to a new status that no preparation for pasting calibration marker is needed, and crack identification, segmentation, and width calculation are realized promptly during the UAV flying on-site, as well as damage evaluation for bridges is
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sbm automatic bridges concrete machine technology.md - GitLab GitLab.com
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Detection of cracks on bridge decks is a vital task for maintaining the structural health and reliability of concrete bridges. Robotic imaging can be used to obtain bridge surface image …
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202555· By automating the crack detection process, they provided a framework for further advancements in automated inspection technologies, enhancing the overall safety and durability of bridges. Additionally, [28] employed a texture analysis-based approach for automatic bridge crack detection.
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11· The paper presents a study about defect detection on structural elements of existing bridges through a machine-learning approach. In detail, the proposed methodology aims to explore the possibility of automatically recognizing defects and damages on bridges’ elements, (e.g., cracks, humidity) by employing a training of existing convolutional neural networks on a …
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2024829· Cracks are a common problem in concrete surfaces. With the continuous optimization of machine vision-based inspection systems, effective crack detection and recognition is the core of the entire
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2025423· By fine-tuning the Superpoint Transformer for bridge component recognition, the proposed method achieved a mean intersection over union …
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GitLab.comFind file Blame History Permalink lab · 319909c3 maekesi authored Nov 01, 319909c3
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202555· By automating the crack detection process, they provided a framework for further advancements in automated inspection technologies, enhancing the overall safety and durability of bridges. Additionally, [28] employed a texture analysis-based approach for automatic bridge crack detection.
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2024520· The achievement of this article promotes the UAV vision-based bridge’s surface crack inspection technology to a new status that no preparation for pasting calibration marker is needed, and crack identification, segmentation, and width calculation are realized promptly during the UAV flying on-site, as well as damage evaluation for bridges is
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2020427· Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual …
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2020728· In this study, the bridge concrete structure is taken as the research object, and the real image is used for crack identification. In structural engineering, surface cracks are the main indexes of du...
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710· The current method of crack detection in bridges using unmanned aerial vehicles (UAVs) relies heavily on acquiring local images of …
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2020427· Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system
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An automatic hollow block machine is a sophisticated mechanical device that uses a mold and a variety of raw materials, such as cement, sand, and gravel, to produce hollow concrete bricks. This machine operates automatically, significantly simplifying the brick production process. Its advanced technology and efficiency make it an essential tool for modern construction projects.
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202491· The early identification of nonstructural and structural cracks in reinforced concrete bridges is crucial to prevent the access of corrosive agents in the concrete and mitigate their impact on the structural integrity of bridge elements. To this end, during visual inspection, inspectors manually examine areas prone to cracks and record a comprehensive set of crack …
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5. Advanced Features of Modern Concrete Block Machines a) High-Efficient Vibration Technology Machines such as ZN900/ZN1000 Automatic Block Making Machine utilize German vibration technology, enhancing block compaction and eliminating air gaps, resulting in denser and more durable blocks. b) Hydraulic and Frequency Conversional Control The automatic hydraulic …
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Periodic inspections are particularly critical for concrete structures, such as bridges, building walls, tunnels, and dams, to identify potential defects that may compromise structural integrity. Common indicators of structural health deterioration include defects like cracks and spalls [4].
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sbm automatic bridges concrete machine technology.md - GitLab GitLab.com
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