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Showing result 1 - 5 of 200 essays matching the above criteria.

  1. 1. Robust Object Recognition and Tracking with Drones

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jiaying Wu; [2024]
    Keywords : ;

    Abstract : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. READ MORE

  3. 2. Visualization and analysis of object states using diffusion models and PyTorch

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Christopher Nyberg; [2024]
    Keywords : ;

    Abstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE

  4. 3. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : TARUN NATTALA; [2023]
    Keywords : CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

    Abstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE

  5. 4. Real time Optical  Character Recognition  in  steel  bars  using YOLOV5

    University essay from Blekinge Tekniska Högskola

    Author : Monica Gattupalli; [2023]
    Keywords : Deep learning; Object detection; Tesseract OCR; YOLOV5; YOLOV5- obb;

    Abstract : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. READ MORE

  6. 5. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

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

    Author : Lars Bergström; Dag Hjelm; [2023]
    Keywords : ;

    Abstract : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. READ MORE