Essays about: "Lighting Industry"
Showing result 1 - 5 of 52 essays containing the words Lighting Industry.
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1. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections
University essay from Lunds universitet/Matematik LTHAbstract : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. READ MORE
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2. Machine Vision Based Quality Control and Fault Detection in a Textile Dyeing Machine
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : Fault detection systems come in a variety of formats and are used in many different types of machines and industries. They can be used to perform fast and accurate detection, classification and analysis. The need for user interaction can be decreased and by that the general level of automation can be increased. READ MORE
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3. SUSTAINABLE HERITAGE LIGHTING DESIGN WITH MODERN TECHNOLOGY
University essay from KTH/LjusdesignAbstract : The research aims to explore the effective utilization of drone technology for visually narrating a story. By analyzing lighting techniques and design strategies, insights will be provided into lighting practices that address the current energy and climate crisis. READ MORE
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4. Energy flows and potential energy development strategies in RoRo ports: A study based on the Port of Trelleborg
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : The recent push for decarbonization in the maritime sector presents an opportunity for ports to strengthen their position as energy hubs. This work studies the existing energy flows in the Port of Trelleborg, one of Europe's biggest roll-on, roll-off ports, and proposes some energy-related development strategies. READ MORE
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5. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE