Sökning: "infrared cameras"

Visar resultat 1 - 5 av 58 uppsatser innehållade orden infrared cameras.

  1. 1. EMC-Optimized Transparency: Reducing Electromagnetic Emissions in Surveillance Camera Domes

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Fabian Sondh; Erik Hansson; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Electromagnetic compatibility (EMC) is a crucial aspect to product development. Companies need to make sure their products live up to the standards that exists around the world. One way of reducing electromagnetic emissions is to shield the product, using some conducting material, for instance, copper. LÄS MER

  3. 2. Image Fusion of Infrared and Visible Images for Computer Vision Tasks

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Emil Friðriksson; [2023]
    Nyckelord :;

    Sammanfattning : Reliable perception in all type of weather conditions is an integral part of autonomous vehicles. In recent years, infrared cameras have become more accessible resulting in increased research and a handful of publicly available datasets that provide image pairs of infrared and visible images. LÄS MER

  4. 3. Construction and development of a low-cost hyperspectral imaging system

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Nikita Grigoriev; [2022]
    Nyckelord :Hyperspectral Imaging; Pushbroom;

    Sammanfattning : Quantification of spectral data is of great interest in many fields of science, since it can provide further insight into other properties of an object. However, traditional cameras are usually made to image the world in a similar fashion as to how we see it, wherefore they are usually not fit to record nor measure further spectral information. LÄS MER

  5. 4. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks

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

    Författare :Jacob Stuart; [2022]
    Nyckelord :;

    Sammanfattning : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. LÄS MER

  7. 5. CNN-Based Methods for Tree Species Detection in UAV Images

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Olle Sievers; [2022]
    Nyckelord :Machine Learning; CNN; UAV; Tree Species; Deep Learning; Tree Species Detection; Detection;

    Sammanfattning : Unmanned aerial vehicles (UAVs) with high-resolution cameras are common in today’s society. Industries, such as the forestry industry, use drones to get a fast overview of tree populations. LÄS MER