Essays about: "Industrial Segmentation"

Showing result 1 - 5 of 28 essays containing the words Industrial Segmentation.

1. 1. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Emil Brynielsson; [2023]
   Keywords : Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

   Abstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE

3. 2. Point clouds in the application of Bin Picking

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Abhijeet Anand; [2023]
   Keywords : Point clouds; Computer vision; 3D instance segmentation; Point cloud registration; Deep learning; Clustering;

   Abstract : Automatic bin picking is a well-known problem in industrial automation and computer vision, where a robot picks an object from a bin and places it somewhere else. There is continuous ongoing research for many years to improve the contemporary solution. READ MORE

4. 3. Managing Commodity Price Volatility : A Multi-Case Study

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Erik Hällgren; Viktor Ljungdahl; [2022]
   Keywords : Commodity price volatility; raw material; strategic sourcing; Covid-19; supplier relationship management; product segmentation; escalator clause.; prisvolatilitet; råmaterial; strategiskt inköp; Covid-19; leverantörsrelationer; produktportfölj; råmaterialklausul.;

   Abstract : This study investigates possible ways of managing commodity price volatility from a purchasing perspective and how the applicability of tools depends on company specific circumstances. Covid-19 has created large disruptions in global supply chains and led to increased price volatility for virtually all commodities. READ MORE

5. 4. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications

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

   Author : Jakob Melki; [2022]
   Keywords : Artificial intelligence AI ; Automated assembly and disassembly; Computer vision; Machine learning; Neural networks; Object detection; Screw hole detection; Semantic segmentation; Artificiell intelligens AI ; Automatiserad montering och demontering; Datorseende; Maskininlärning; Neurala nätverk; Objekt detektering; Skruvhålsdetektering; Semantisk segmentering;

   Abstract : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. READ MORE

6. 5. 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