Essays about: "Instanssegmentering"

Showing result 1 - 5 of 11 essays containing the word Instanssegmentering.

1. 1. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

   Author : Oliver Möller; [2023]
   Keywords : Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

   Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE

3. 2. AI-based Quality Inspection forShort-Series Production : Using synthetic dataset to perform instance segmentation forquality inspection

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Simon Tsehaie Russom; [2022]
   Keywords : Synthetic Training Dataset; Geometrical Defect Detection; Instance Segmentation; Data Augmentation Techniques; Mask R-CNN; Transformers; Syntetisk Träningsdataset; Detektion av Geometriska Defekter; Instanssegmentering; Tekniker för Dataaugmentering; Mask R-CNN; Transformers;

   Abstract : Quality inspection is an essential part of almost any industrial production line. However, designing customized solutions for defect detection for every product can be costlyfor the production line. This is especially the case for short-series production, where theproduction time is limited. READ MORE

4. 3. Thermal Imaging-Based Instance Segmentation for Automated Health Monitoring of Steel Ladle Refractory Lining

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Emil Bråkenhielm; Kastrati Drinas; [2022]
   Keywords : Computer Vision; Deep Learning; Thermal Imaging; Instance Segmentation; Mask R-CNN; Steel Ladle Breakout Prevention;

   Abstract : Equipment and machines can be exposed to very high temperatures in the steel mill industry. One particularly critical part is the ladles used to hold and pour molten iron into mouldings. A refractory lining is used as an insulation layer between the outer steel shell and the molten iron to protect the ladle from the hot iron. READ MORE

5. 4. Augmentation for Generalization

   University essay from Lunds universitet/Matematik LTH

   Author : Joel Ottosson; [2022]
   Keywords : machine learning; microscopy; segmentation; augmentation; neural network; Mathematics and Statistics;

   Abstract : To be able to automatically segment cells in microscopic images would give biologist a new tool to gather crucial data in quantities not possible by manual work. This is however not a trivial problem and has proven to be very difficult, especially if the images are in 3D. READ MORE

6. 5. Point Cloud Data Augmentation for 4D Panoptic Segmentation

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

   Author : Wangkang Jin; [2022]
   Keywords : Point Cloud; Data Augmentation; 4D panoptic segmentation; Deep Learning; 3D Perception; Autonomous Driving; Punktmoln; Dataökning; 4D panoptisk segmentering; Djup lärning; 3D Perception; 3D Uppfattning; Autonom körning;

   Abstract : 4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection limits the size of existing point cloud datasets. READ MORE