Sökning: "Google Cloud Vision"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Google Cloud Vision.

  1. 1. Automated Digitization and Summarization of Analog Archives : Comparing summaries made by GPT-3 and a human

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Maja Linderholm; [2022]
    Nyckelord :;

    Sammanfattning : This thesis aimed to create a tool that could assist climate researchers in their fieldwork. Through dialog with researchers at Stockholms University a need and interest for automated digitization and summarization of their handwritten notes could be identified. LÄS MER

  3. 2. Detecting and comparing Kanban boards using Computer Vision

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

    Författare :Humam Behnam; [2022]
    Nyckelord :Kanban Board; Sticky Notes; Computer Vison; OpenCV; Feature Detection; Feature Matching; Canny Edges; Contours; Perspective Transformation; Text Detection; Kanbantavla; Klisterlappar; Datorseende; OpenCV; Funktionsdetektering; Funktionsmatchning; Cannykanter; Konturer; Perspektivförvandling; Textigenkänning;

    Sammanfattning : This thesis investigates the problem of detecting and tracking sticky notes on Kanban boards using classical computer vision techniques. Currently, there exists some alternatives for digitizing sticky notes, but none keep track of notes that have already been digitized, allowing for duplicate notes to be created when scanning multiple images of the same Kanban board. LÄS MER

  4. 3. Analogue meters in a digital world : Minimizing data size when offloading OCR processes

    M1-uppsats,

    Författare :Robin Davidsson; Fredrik Sjölander; [2022]
    Nyckelord :Optical Character Recognition; OCR; Offloading; Energy efficiency; Compression; Google Cloud Vision; Water meters; Internet of Things; IoT; Cloud;

    Sammanfattning : Introduction: Instead of replacing existing analogue water meters with Internet of Things (IoT) connected substitutes, an alternative would be to attach an IoT connected module to the analogue water meter that optically reads the meter value using Optical Character Recognition (OCR). Such a module would need to be battery-powered given that access to the electrical grid is typically limited near water meters. LÄS MER

  5. 4. The umbrella term Industry 4.0 and the digitization of the industry : A qualitative study on the progress of Swedish companies

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Tim Hellberg; Filip Ström; [2021]
    Nyckelord :industry 4.0; smart factories; internet of things; industrial internet of things; cloud; big data; monitoring; interview; qualitative study;

    Sammanfattning : The umbrella term industry 4.0 stands for the ongoing integration of modern smart technologies in industrial settings. The implementation of the technologies it covers has been an ongoing process for a decade. However, there is a huge variation in companies adaptation of these technologies and progress is slow. LÄS MER

  7. 5. Tolkning av handskrivna siffror i formulär : Betydelsen av datauppsättningens storlek vid maskininlärning

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Engin Kirik; [2021]
    Nyckelord :Machine learning; Neural networks; Object recognition; TensorFlow; PyTorch; CPU; GPU; Maskininlärning; Neurala nätverk; Objektigenkänning; TensorFlow; PyTorch; CPU; GPU;

    Sammanfattning : Forskningen i denna studie har varit att tag fram hur mycket betydelse storleken på datauppsättningen har för inverkan på resultat inom objektigenkänning. Forskningen implementerades i att träna en modell inom datorseende som skall kunna identifiera och konvertera handskrivna siffror från fysisk-formulär till digitaliserad-format. LÄS MER