Sökning: "Object detection and recognition"

Visar resultat 1 - 5 av 99 uppsatser innehållade orden Object detection and recognition.

  1. 1. Robust Object Recognition and Tracking with Drones

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiaying Wu; [2024]
    Nyckelord :;

    Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

  3. 2. 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

  4. 3. Real time Optical  Character Recognition  in  steel  bars  using YOLOV5

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Monica Gattupalli; [2023]
    Nyckelord :Deep learning; Object detection; Tesseract OCR; YOLOV5; YOLOV5- obb;

    Sammanfattning : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. LÄS MER

  5. 4. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

    Författare :Serhat Bulun; [2023]
    Nyckelord :;

    Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

  7. 5. Finding license-plates in varying lighting conditions using two machine learning methods

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :André Sturesson; Johannes Böök; [2023]
    Nyckelord :machine learning; license plate; image recognition;

    Sammanfattning : Object detection and machine learning are important fields in Computer science. This report presents two methods to find the bounding box of a license plate and tries to evaluate the best approach to deal with various lighting conditions. LÄS MER