Sökning: "datorsyn"

Visar resultat 1 - 5 av 19 uppsatser innehållade ordet datorsyn.

  1. 1. Data Collection and Layout Analysis on Visually Rich Documents using Multi-Modular Deep Learning.

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

    Författare :Mattias Stahre; [2022]
    Nyckelord :DeepLearning; Machine Learning; Dataset Collection; Annotation; Labeling; Transformer Network; Multi-Modal; Computer Vision; Natural Language Processing; Embedding; LayoutLMv2; DocBank; Djupinlärning; Maskininlärning; Datasamling; Annotering; Märkning; Transformernätverk; Multi-modulär; Datorsyn; Naturlig Språkbehandling; Inbäddning; LayoutLMv2; DocBank;

    Sammanfattning : The use of Deep Learning methods for Document Understanding has been embraced by the research community in recent years. A requirement for Deep Learning methods and especially Transformer Networks, is access to large datasets. LÄS MER

  3. 2. Operational data extraction using visual perception

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

    Författare :Nagarajan Shunmugam; [2021]
    Nyckelord :Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Sammanfattning : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. LÄS MER

  4. 3. Mobile-based 3D modeling : An indepth evaluation for the application to maintenance and supervision

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

    Författare :Martin De Pellegrini; [2021]
    Nyckelord :Computer Vision; 3D Reconstruction; Deep Learning; Indoor; Digital Twin; Point Cloud.; Datorsyn; 3Drekonstruktion; Deep Learning; inomhus; Digital Twin; Point Cloud.;

    Sammanfattning : Indoor environment modeling has become a relevant topic in several applications fields including Augmented, Virtual and Mixed Reality. Furthermore, with the Digital Transformation, many industries have moved toward this technology trying to generate detailed models of an environment allowing the viewers to navigate through it or mapping surfaces to insert virtual elements in a real scene. LÄS MER

  5. 4. Comparative Study of Vision Camera-based Vibration Analysis with the Laser Vibrometer Method

    Master-uppsats, KTH/Industriell produktion

    Författare :Pradeep Kumar Muralidharan; Hemanth Yanamadala; [2021]
    Nyckelord :OpenCV; Motion tracking; motion magnification; vision camera method; FFT; tracker; OpenCV; Rörelsesspårning; Rörelseförstoring; Synkamera -metod; FFT; Spårare;

    Sammanfattning : Vibration analysis is a method that studies patterns in vibration data and measures vibration levels. It is usually performed on time waveforms of the vibration signal directly and on thefrequency spectrum derived by applying the Fourier Transform on the time waveform. LÄS MER

  7. 5. Implementation of a Mobile Device Eye-tracking System Using Augmented Reality

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

    Författare :Moa Winberg; [2021]
    Nyckelord :Eye-tracking; Mobile device; Augmented Reality; ARKit; Swift; Gaze Estimation.;

    Sammanfattning : Eye-tracking technology is used within various fields of research such as medicine, computer vision and psychology among others. Despite the many application areas and a growing interest, most eye-trackers rely on dedicated and expensive hardware to track eye movements on large monitors such as desktop displays. LÄS MER