Essays about: "Automatic Inspection"

Showing result 1 - 5 of 33 essays containing the words Automatic Inspection.

1. 1. Sim2Real: Generating synthetic images from industry CAD models with domain randomization

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Duruo Li; [2023]
   Keywords : ;

   Abstract : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. READ MORE

3. 2. Locating power lines in satellite images with semantic segmentation

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Erik Lundman; [2022]
   Keywords : AI; Machine learning; Semantic segmentation; Power lines; Satellite images;

   Abstract : The inspection of power lines is an important process to maintain a stable electrical infrastructure. Simultaneously it is very time consuming task considering there are 164 000 km of power lines in Sweden alone. A cheaper and more sustainable approach is an automatic inspection with drones. READ MORE

4. 3. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

   University essay from KTH/Fastigheter och byggande

   Author : Egil Morast; [2022]
   Keywords : Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

   Abstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE

5. 4. An Industrial Application of Semi-supervised techniques for automatic surface inspection of stainless steel. : Are pseudo-labeling and consistency regularization effective in a real industrial context?

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

   Author : Mattia Zoffoli; [2022]
   Keywords : Deep Learning; Computer Vision; Semi-Supervised Learning; Automatic Inspection; Stainless Steel; Djupt lärande; datorseende; Semi-övervakat lärande; Automatisk inspektion; Rostfritt stål;

   Abstract : Recent developments in the field of Semi-Supervised Learning are working to avoid the bottleneck of data labeling. This can be achieved by leveraging unlabeled data to limit the amount of labeled data needed for training deep learning models. READ MORE

6. 5. Towards Condition-Based Maintenance of Catenary wires using computer vision : Deep Learning applications on eMaintenance & Industrial AI for railway industry

   University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

   Author : Laila Moussallik; [2021]
   Keywords : eMaintenance; computer vision; Condition-Based Maintenance; Industrial AI; railway catenary system; automatic visual detection; health monitoring; Deep learning; Machine learning; Convolutional Neural Network; object detection.;

   Abstract : Railways are a main element of a sustainable transport policy in several countries as they are considered a safe, efficient and green mode of transportation. Owing to these advantages, there is a cumulative request for the railway industry to increase the performance, the capacity and the availability in addition to safely transport goods and people at higher speeds. READ MORE