Sökning: "network cameras"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden network cameras.

  1. 1. Camera-Based Friction Estimation with Deep Convolutional Neural Networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Arvi Jonnarth; [2018]
    Nyckelord :Machine Learning; Deep Learning; Statistical Learning; Friction Estimation; Computer Vision; Neural Networks; Convolutional Neural Networks; Digital Image Processing;

    Sammanfattning : During recent years, great progress has been made within the field of deep learning, and more specifically, within neural networks. Deep convolutional neural networks (CNN) have been especially successful within image processing in tasks such as image classification and object detection. LÄS MER

  2. 2. New Mechanical Platform For Dome Cameras

    Master-uppsats, Lunds universitet/Produktutveckling

    Författare :Lejla Salic; Johanna Sjöberg; [2018]
    Nyckelord :Product Development; Ease of Installation; Screwless Assembly; Excenter Locks; Dome Camera; Technology and Engineering;

    Sammanfattning : This master thesis report describes a product development process with the aim to create a construction which ensures an easier installation by replacing screws with other alternative assembly methods. The project has been performed at Axis Communications AB, which is the market leading company in network cameras. LÄS MER

  3. 3. Low-Latency Detection and Tracking of Aircraft in Very High-Resolution Video Feeds

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Jarle Mathiesen; [2018]
    Nyckelord :tracking; object tracking; kalman filter; deep learning; remote tower; convolutional neural network; cnn; real-time;

    Sammanfattning : Applying machine learning techniques for real-time detection and tracking of objects in very high-resolution video is a problem that has not been extensively studied. In this thesis, the practical uses of object detection for airport remote towers are explored. LÄS MER

  4. 4. Depth Inclusion for Classification and Semantic Segmentation

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Max Lotz; [2018]
    Nyckelord :;

    Sammanfattning : The  majority  of  computer  vision  algorithms  only  use  RGB  images  to  make  inferencesabout  the  state  of  the  world.  With  the  increasing  availability  of  RGB-D  cameras  it  is  im-portant  to  examine  ways  to  effectively  fuse  this  extra  modality  for  increased  effective-ness. LÄS MER

  5. 5. Acoustic Analysis of Wave-Guide and MEMS Microphone in Camera Including Thermoviscous Losses

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Karolis Poskus; [2018]
    Nyckelord :;

    Sammanfattning : Today Micro Electrical Mechanical Systems (MEMS) microphones are available in a range of electronic consumer products such as smart phones, tablets, smartwatches and surveillance cameras. The MEMS microphones are usually attached to a circuit board with a hole that lets sound propagate through, as well as additional wave-guides which alter the MEMS microphones original frequency response. LÄS MER


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