Sökning: "Realtidsspårning"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet Realtidsspårning.

  1. 1. Drone Detection using Deep Learning

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

    Författare :Yating Liu; [2023]
    Nyckelord :Drone Detection; Real-time Tracking; Deep Learning; Computer Vision; Small Object Detection; YOLO; Drönardetektering; Realtidsspårning; Deep Learning; Computer Vision; Small Object Detection; YOLO;

    Sammanfattning : Drone intrusions have been reported more frequently these years as drones become more accessible in the market. The abuse of drones puts threats to public and individual safety and privacy. Traditional anti-drone systems use radio-frequency sensors widely to get the position of drones. LÄS MER

  3. 2. Implementation of IIOT technology in welding robots for improving connectivity and enhancing productivity

    Master-uppsats, KTH/Produktionsutveckling

    Författare :Divya Ravichandran; Maneesh Srinivas Thirunavukkarasu; [2023]
    Nyckelord :Industrial Internet of things; Thingworx; Real-time tracking; Alert system.; Industriellt Internet of things; Thingworx; realtidsspårning; larmsystem.;

    Sammanfattning : In the prevailing industrial revolution, most industries are on the path towards the digitalization journey. To incorporate several digital technologies in the organization data reliability and accuracy act as key enablers. To achieve the set goals, the connectivity of the machines is considered a prominent endeavour. LÄS MER

  4. 3. Innovation av logistiktjänster med mobil spårning : Fallstudie på Expeditors AB

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Sandra Jaimes; [2020]
    Nyckelord :;

    Sammanfattning : Industry 4.0 har blivit en av mest diskuterat tema inom industriella affärsidéerna under de senaste åren. Detta paradigm introducerar Internet of Things (IoT) med integrerade tekniker som radiofrekvensidentifiering (RFID), trådlöst sensornätverk (WSN) och moln beräkning. LÄS MER

  5. 4. Wind Turbine Performance Assessment Modeling Using Machine Learning Method for Condition Based Maintenance

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

    Författare :Qiuyi Huang; [2018]
    Nyckelord :;

    Sammanfattning : This thesis work proposes a performance assessment framework to estimateoperation states of wind turbines for the sake of condition monitoring. Theframework uses the data in the supervisory control and data acquisition systemsas original input and some machine learning methods including K-NearestNeighbour, K-Means Clustering, Support Vector Machine and Artificial NeuralNetwork are implemented to analyze the data. LÄS MER

  7. 5. Visual Tracking with Deep Learning : Automatic tracking of farm animals

    Master-uppsats, KTH/Radio Systems Laboratory (RS Lab)

    Författare :Biwen Zhu; [2018]
    Nyckelord :Computer vision; Video tracking; Machine learning; Discriminative correlation filter; Compressed video; Bandwidth balancing; Network traffic; Dator vision; Video spårning; Maskininlärning; Diskriminerande korrelationsfilter; Komprimerad video; Bandbredd balansering; Nätverkstrafik;

    Sammanfattning : Automatic tracking and video of surveillance on a farm could help to support farm management. In this project, an automated detection system is used to detect sows in surveillance videos. This system is based upon deep learning and computer vision methods. LÄS MER