Essays about: "Mask R-CNN"

Showing result 6 - 10 of 29 essays containing the words Mask R-CNN.

1. 6. 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

3. 7. 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

4. 8. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : VASILIKI LAMPROUSI; [2021-04-01]
   Keywords : Object detection; machine learning; camera; sensors; semi-supervised learning;

   Abstract : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems (ADAS) in the current and future generations of vehicles include a large number of sensors which are used to perceive the vehicle’s surroundings. The production sensors of these vehicles are verified and validated against reference data that are originated from high-accurate reference sensors that are placed in a reference roof box at the top of the vehicle. READ MORE

5. 9. AI-based autonomous forest stand generation

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Diana Saveh; [2021]
   Keywords : Forest stands; TensorFlow; AI; QGIS; Mask R-CNN;

   Abstract : In recent years, the tech is moving towards a more automized and smarter software. To achieve smarter software the implementation of AI is a step towards that goal. The forest industry needs to become more automized and decrease the manual labor. Decreasing manual labor will both have a positive impact on both the cost and the environment. READ MORE

6. 10. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

   University essay from Linköpings universitet/Datorseende

   Author : Rolf Sievert; [2021]
   Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

   Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE