Sökning: "Industrial Segmentation"
Visar resultat 1 - 5 av 39 uppsatser innehållade orden Industrial Segmentation.
1. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : 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. LÄS MER
2. Point clouds in the application of Bin Picking
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : 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. LÄS MER
3. Managing Commodity Price Volatility : A Multi-Case Study
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : 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. LÄS MER
4. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. Minskade logistikkostnader genom kundsegmentering : En fallstudie med ASSA ABLOY
Master-uppsats, Linköpings universitet/Logistik- och kvalitetsutvecklingSammanfattning : The importance of a satisfactory logistics system is becoming increasingly apparent as a consequence of growing competition and rising customer requirements regarding, amongst others, lead times, flexibility and delivery dependability. The increasing demands reduce profit margins and increase logistics costs, accelerating the importance of a well-functioning logistics system. LÄS MER