Essays about: "nyckelpunkter"
Showing result 1 - 5 of 14 essays containing the word nyckelpunkter.
-
1. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. READ MORE
-
2. Research and Application of 6D Pose Estimation for Mobile 3D Cameras
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. READ MORE
-
3. Business Model Innovation in Swedish FinTech Industry : A case Study of Klarna
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The financial industry has been greatly influenced by the Internet revolution and mobile technology, which has laid a solid foundation for innovation in the field of FinTech. However, we need to be concerned that the revolutionary digital technologies employed by FinTech companies can only be profitable if they can be brought to market with a suitable business model, which means that FinTech companies rely on their business logic, value network, and company position. READ MORE
-
4. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE
-
5. Pose Classification of Horse Behavior in Video : A deep learning approach for classifying equine poses based on 2D keypoints
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates whether Computer Vision can be a useful tool in interpreting the behaviors of monitored horses. In recent years, research in the field of Computer Vision has primarily focused on people, where pose estimation and action recognition are popular research areas. READ MORE
