Sökning: "Computer Vision CV"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Computer Vision CV.

  1. 1. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Maira Khan; [2023]
    Nyckelord :CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

    Sammanfattning : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. LÄS MER

  3. 2. Humans in the wild : NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sanvito Alessandro; [2023]
    Nyckelord :Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision; Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision;

    Sammanfattning : Recent advancements in computer vision have led to the emergence of Neural Radiance Fields (NeRFs), a powerful tool for reconstructing photorealistic 3D scenes, even in dynamic settings. However, these methods struggle when dealing with human subjects, especially when the subject is partially obscured or not completely observable, resulting in inaccurate reconstructions of geometries and textures. LÄS MER

  4. 3. FPGA implementation of an undistortion model with high parameter flexibility and DRAM-free operation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Zacharie McCormick; [2023]
    Nyckelord :FPGA; Computer Vision; Lens correction; Remapping; FPGA; Datorseende; Linskorrigering; Omvandling;

    Sammanfattning : Computer Vision (CV) has become omnipresent in our everyday life and it’s starting to see more and more use in the industry. This movement creates a demand for ever more performant systems to keep up with the increasing demands in manufacturing speed and autonomous behaviours. LÄS MER

  5. 4. Digitalisation of Predetermined Motion Time Systems : An Investigation Towards Automated Time Setting Processes

    Master-uppsats, KTH/Produktionsutveckling

    Författare :Jesper Gans; [2023]
    Nyckelord :Predetermined Motion Time Systems PMTS ; Computer Vision CV ; Machine Learning ML ; Förutbestämda metod-rörelse system; Datorseende; Maskinlärning;

    Sammanfattning : Time setting in production operations is necessary to properly takt and balance the flow of assembly and logistics. Time setting activities is also crucial to achieve an optimised, healthy and ergonomic assembly and logistics operation. LÄS MER

  7. 5. Vision-driven assembly robot

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Antonio Pozo León; Alexander von Knoop Ruiz; [2022]
    Nyckelord :Computer Vision; Collaborative robot; RGBD Camera; Assembly Process;

    Sammanfattning : This project focuses on the integration of Computer Vision (CV) and robotics to automate object assembly tasks using a collaborative robot. By combining both disciplines, the project aims to improve productivity and safety in multiple environments by enabling safe and efficient assembly operations. LÄS MER