Detection of Surface Defects Inside Concrete Pipelines Using Trained Model on JetRacer Kit

Mysiuk, Roman; Yuzevych, Volodymyr; Mysiuk, Iryna; Tyrkalo, Yuriy; Pavlenchyk, Anatolii; Dalyk, Volodymyr

doi:10.1109/elit61488.2023.10310691

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…When recognising directly on the reading device, you can select an object and use the information about the number of pixels of the segmented object as a quantitative measure. As an example of defects in materials, cracks [8] or corrosion [9] can be considered, which can be detected based on computer vision methods.…”

Section: Resultsmentioning

confidence: 99%

Towards Information Flows in Recognition and Prediction Tasks with Internet of Things

Mysiuk

2024

PoS

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This paper describes the possibilities of communication through information flows in the tasks of recognition and prediction using the example of assessing the change in the state of defects in materials. In the context of communication between several system elements, an important part is the formation of adequate information flows and optimal messages. In this context, the grouping of information according to the principle of informativeness is proposed, using the example of the problem of recognition and further forecasting. Information transfer with the Internet of Things involves exchange over wireless networks and network protocols. In the paper, it is proposed to use the segmented area of the recognised object to check the forecast. The paper proposes to use the segmented region of the recognised object in the image and use it to check the prediction. In addition, sensor data can be utilised to test defect classification. This design of information flows can improve performance.

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Section: Resultsmentioning

confidence: 99%

Towards Information Flows in Recognition and Prediction Tasks with Internet of Things

Mysiuk

2024

PoS

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“…Real-time analytics enables organisations to monitor user behaviour and respond promptly to emerging trends or issues [11,12]. Real-time analytics platforms like Google Analytics Real-Time or custom-built solutions allow organisations to track user interactions as they happen and make data-driven decisions on the fly.…”

Section: а Web-based Methods Of User Behavior Analyticsmentioning

confidence: 99%

User Behavior Analysis Using Web-based Machine Learning Features: New Solutions for IT Business

Mysiuk,

Kononenko,

Svystovych

et al. 2024

PoS

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Detection of Surface Defects Inside Concrete Pipelines Using Trained Model on JetRacer Kit

Cited by 2 publications

References 18 publications

Towards Information Flows in Recognition and Prediction Tasks with Internet of Things

Towards Information Flows in Recognition and Prediction Tasks with Internet of Things

User Behavior Analysis Using Web-based Machine Learning Features: New Solutions for IT Business

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