Sökning: "Network camera"

Visar resultat 21 - 25 av 241 uppsatser innehållade orden Network camera.

1. 21. VISUAL ONION GROWTH STAGEDETERMINATION USING CNNS

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Tony Mugisha; Pontus Gustavsson; [2023]
   Nyckelord :;

   Sammanfattning : With the growing agricultural sector, the demand for more harvest is increasing. Thus next stepin development is automating the agriculture sector. Onions are widely used in various dishes andhold a significant position as a crop of focus for Ekobot. LÄS MER

3. 22. Computer Vision for Volume Estimation and Material Classification

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik; Mälardalens universitet

   Författare :Oliver Lagelius; Ludwig Wässman; [2023]
   Nyckelord :Clustering; DexiNed; Image Processing; SLIC Segmentation; Stereo Vision;

   Sammanfattning : Vehicular automation is a rapidly advancing field within robotics. These autonomous machines have the potential to perform burdensome and dangerous tasks that historically have been executed by humans which has been a long-time goal for the industry. LÄS MER

4. 23. Fog detection using an artificial neural network

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Quanwei Li; Tiancheng Ma; [2023]
   Nyckelord :Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

   Sammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER

5. 24. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Alexander Berglund; [2023]
   Nyckelord :artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

   Sammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER

7. 25. The use of hyperspectral sensors for quality assessment : A quantitative study of moisture content in indoor vertical farming

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Arezo Ahaddi; Zeineb Al-Husseini; [2023]
   Nyckelord :Hyperspectral Imaging; lettuce; moisture content; NIR; near-infrared spectroscopy; shelf life; quality assessment; vertical farming; MicroNIR;

   Sammanfattning : Purpose: This research will study how hyperspectral sensoring can assess the moisture content of lettuce by monitoring its growth in indoor vertical farming. Research questions: “What accuracy can be achieved when using hyperspectral sensoring for assessing the moisture content of lettuce leaves grown in vertical farming?” “How can vertical farming contribute to sustainability in conjunction with integration of NIR spectroscopy?” Methodology: This study is an experimental study with a deductive approach in which experiments have been performed using the hyperspectral technologies singlespot sensor and the hyperspectral camera Specim FX17 to collect spectral data. LÄS MER