Essays about: "Objektigenkänning"

Showing result 1 - 5 of 22 essays containing the word Objektigenkänning.

  1. 1. 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


    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

  3. 3. Road Damage Segmentation for Mobile Hardware

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

    Author : Martti Yap; [2021]
    Keywords : Road Damage; Deep Learning; Image Segmentation.; Vägskador; Djupinlärning; Bildsegmentering.;

    Abstract : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. READ MORE

  4. 4. Monocular depth estimation for level assessment in an industrial waste management environment : A thesis within smart waste management

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : JONAS JUNGÅKER; [2021]
    Keywords : ;

    Abstract : With the transition to Industry 4.0, actors in many industries face challenges such as how to successfully implement technical solutions and retain competitiv eadvantages. In the smart waste management sector, many solutions have been presented in how to create effecient sensors but a practical way of comparing these solutions is non-existent. READ MORE

  5. 5. Localization of fractures in drill cores using Deep Learning

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

    Author : Felix Magnell; [2021]
    Keywords : ;

    Abstract : Investigating and assessing rock structures requires extensive manual work, where geologists measure the fractures in drill cores to get a better understanding of the condition of the underlying rock. This study investigates the possibility to use Deep Learning for localizing fractures in images of drill cores, automating and facilitating the work of geologists. READ MORE