Essays about: "YOLOv3 algorithm."

Showing result 1 - 5 of 15 essays containing the words YOLOv3 algorithm..

  1. 1. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA

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

    Author : Muhammad Ihsan Al Hafiz; [2023]
    Keywords : Bolt detection; Visual-Inertial localization; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; Tightening tool; Bultdetektering; visuell-tröghetslokalisering; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine Learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; åtdragningsverktyg;

    Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE

  3. 2. A Comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Anusha Jayasree Mavilla Vari Palli; Vishnu Sai Medimi; [2022]
    Keywords : Accuracy; Haar Cascade Classifier; Helmet Detection; License Plate Detection; YOLOv3 algorithm.;

    Abstract : Background: Every country has seen an increase in motorcycle accidents over the years due to social and economic differences as well as regional variations in transportation circumstances. One common mode of transportation for those in the middle class is a motorbike.  Every motorbike rider is legally required to wear a helmet when driving a bike. READ MORE

  4. 3. DRIVING-SCENE IMAGE CLASSIFICATION USING DEEP LEARNING NETWORKS: YOLOV4 ALGORITHM

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Muhammad Tamjid Rahman; [2022]
    Keywords : Machine learning; Convolutional neural network; Object detection; YOLO;

    Abstract : The objective of the thesis is to explore an approach of classifying and localizing different objects from driving-scene images using YOLOv4 algorithm trained on custom dataset.  YOLOv4, a one-stage object detection algorithm, aims to have better accuracy and speed. READ MORE

  5. 4. Artificial Intelligence applications for railway signalling

    University essay from KTH/Transportplanering

    Author : Benjamin Smakic; [2021]
    Keywords : Artificial Intelligence; AI; Machine Learning; ML; Computer Vision; railway signalling; ERTMS level 3; GPS; autonomous train operations; Artificiell Intelligens; Maskininlärning; datorseende; signalteknik; autonoma tåg; självkörande tåg.;

    Abstract : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. READ MORE

  6. 5. Detection of Aircraft, Vehicles and Ships in Aerial and Satellite Imagery using Evolutionary Deep Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Akshay Kumar Thoudoju; [2021]
    Keywords : Evolutionary Deep learning; Genetic Algorithm; YOLOv3; Object detection; Satellite images; Aerial Images;

    Abstract : Background. The view of the Earth from above can offer a lot of data and with technological advancements in image sensors and high-resolution satellite images there is more quantity and quality of data which can be useful in research and applications like military, monitoring climate, etc. READ MORE