Sökning: "Crack Detection"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden Crack Detection.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. Improved U-Net architecture for Crack Detection in Sand Moulds

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Husain Ahmed; Hozan Bajo; [2023]
    Nyckelord :U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

    Sammanfattning : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. LÄS MER

  4. 3. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Punnawat Siripatthiti; [2023]
    Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

  5. 4. U - Net Based Crack Detection in Road and Railroad Tunnels Using Data Acquired by Mobile Device

    Master-uppsats, KTH/Geoinformatik

    Författare :Kepan Gao; [2022]
    Nyckelord :U-Net; deep learning; tunnel monitoring; structural health monitoring; crack detection; mobile mapping system;

    Sammanfattning : Infrastructures like bridges and tunnels are significant for the economy and growth of countries, however, the risk of failure increases as they getting aged. Therefore, a systematic monitoring scheme is necessary to check the integrity regularly. LÄS MER

  7. 5. Numerical method to investigate and assess the capacity of a damaged concrete structure : Using image analysis and advanced concrete modeling

    Master-uppsats, KTH/Bro- och stålbyggnad

    Författare :Zakariya Benosmane; [2022]
    Nyckelord :Damaged Concrete Structure; Extended Finite Element Method XFEM ; Concrete Dam- aged Plasticity CDP ; Photogrammetry; Crack Detection Methods.;

    Sammanfattning : Concrete has for decades been one of the main materials used to construct important structuressuch as dams and bridges. However, after years of service, the concrete structuresstart deteriorating and signs of damages start showing on the structure. LÄS MER