Essays about: "Objektigenkänning"

Showing result 1 - 5 of 26 essays containing the word Objektigenkänning.

  1. 1. Dynamic Mixed Reality AssemblyGuidance Using Optical Recognition Methods

    University essay from KTH/Industriell produktion

    Author : Harpa Hlíf Guðjónsdóttir; Gestur Andrei Ólafsson; [2022]
    Keywords : Manufacturing; Mixed Reality; Augmented Reality; Assembly Guidance; Object Recognition; HoloLens 2; Vuforia Engine; Unity; Mixed Reality Toolkit; Tillverkning; Blandad Verklighet; Förstärkt Verklighet; Monteringsvägledning; Objektigenkänning; HoloLens 2; Unity; Vuforia Engine; Mixed Reality Toolkit;

    Abstract : Mixed Reality (MR) is an emerging paradigm in industry. While MR equipment and software have taken great technological strides in past years, standardized methods and workflows for developing MR systems for industry have not been widely adopted for many tasks. This thesis proposes a dynamic MR system for an assembly process. READ MORE

  2. 2. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    University essay from KTH/Fastigheter och byggande

    Author : Egil Morast; [2022]
    Keywords : Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Abstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE

  3. 3. VTG-Fusion : A GAN-ViT-Based Infrared and Visible ImageFusion Method

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Geng Jiaqi; [2022]
    Keywords : Infrared and visible image fusion; deep learning; Generative adversarial network; Transformer; Infraröd och synlig bildfusion; djupinlärning; GAN; Transformator;

    Abstract : Infrared and visible image fusion targets generating one image with texture details from visible images and highlighted objects from the infrared images. It has been widely used in object recognition and object detection. READ MORE


    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fredrik Strand; Jonathan Karlsson; [2022]
    Keywords : Machine learning; yolo; yolov4; cnn; ppe; personal protective equipment; object detection; computer vision; deep learning; artificial intelligence; ai; real-time object detection; real-time; safety; construction; workers; industry; face recognition;

    Abstract : Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions and worker safety. The goal is thus to develop a system that will improve construction workers' safety. READ MORE

  5. 5. A Performance Comparison of the Single Object Tracking Algorithms ROLO and Tiny-ROLO

    University essay from KTH/Datavetenskap

    Author : Simon Larspers Qvist; Beata Johansson; [2022]
    Keywords : ;

    Abstract : Object tracking in videos is an extension of ordinary object detection, to continuously predict and follow the objects’ path of motion. The Recurrent YOLO (ROLO) algorithm is a two-stage tracking algorithm that utilizes deep neural networks to track objects in image sequences. READ MORE