Sökning: "Inomhuslokalisering"
Visar resultat 1 - 5 av 8 uppsatser innehållade ordet Inomhuslokalisering.
1. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER
2. Populating a Database to be used with an Indoor Positioning System
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Indoor Positioning System (IPS) are becoming more common in many areas such as retail, warehouses, smart facilities, and manufacturing.In recent years, Bluetooth Low Energy (BLE)-based IPS has become increasingly popular due to its low cost and low energy consumption. One of the more recent updates, Bluetooth 5. LÄS MER
3. Evaluation of Bluetooth 5.1 as an Indoor Positioning System
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : There is a high demand for Indoor Positioning Systems (IPS) due to the wide application possibilities. The main issue for localization by wireless signals in an indoor environment is the multipath propagation problem. Multipath propagation occurs when signals reflects and refract from an object, changing the signals characteristics. LÄS MER
4. Inomhuslokalisering med Bluetooth 5
Kandidat-uppsats, Högskolan i Jönköping/JTH, Datateknik och informatikSammanfattning : .... LÄS MER
5. Indoor localization of hand-held Shopping Scanners
M1-uppsats, KTH/Data- och elektroteknikSammanfattning : This thesis investigates applicable indoor navigation systems for the next generation of hand-held shopping scanners, on behalf of the company Virtual Stores. The thesis research and review applicable indoor localization methods and ways to combine and evaluate received localization data in order to provide accurate navigation without introducing any other worn equipment for a potential user. LÄS MER