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Master ’s Programme in Information Technology: Using multiple Leap Motion sensors in Assembly workplace in Smart Factory
Halmstad University, School of Information Technology.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

The new industry revolution creates a vast transformation in the manufacturing methods. Embedded Intelligence and communication technologies facilitate the execution of the smart factory. It can provide lots of features for strong customization of products. Assembly system is a critical segment of the smart factory. However, the complexity of production planning and the variety of products being manufactured, persuade the factories to use different methods to guide the workers for unfamiliar tasks in the assembly section.

Motion tracking is the process of capturing the movement of human body or objects which has been used in different industrial systems. It can be integrated to a wide range of applications such as interacting with computers, games and entertainment, industry, etc. Motion tracking can be integrated to assembly systems and it has the potential to create an improvement in this industry as well. But the integration of motion tracking in industrial processes is still not widespread.

This thesis work provides a fully automatic tracking solution for future systems in manufacturing industry and other fields. In general a configurable, flexible, and scalable motion tracking system is created in this thesis work to amend the tracking process. According to our environment, we have done a research between different motion tracking methods and technologies including Kinect and Leap Motion sensor, and finally the leap motion sensor is selected as the most appropriate method, because it fulfils our demands in this project.

Multiple Leap motion sensors are used in this work to cover areas with different size. Data fusion between multiple leap motion sensors can be considered as another novel contribution of this thesis work. To achieve this goal data from multiple sensors are combined. This system can improve the lack of accuracy in order to creating a practical industrial application. By fusion of several sensors in order to achieve accuracies that allow implementation in practice, a motion tracking system with higher accuracy is created. 

Place, publisher, year, edition, pages
2016.
Keyword [en]
Motion Tracking, Gesture Recognition, Multiple Leap Motion Sensors, Smart Factory, Assembly Workplace, Data Fusion, Augmented Reality
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-32392OAI: oai:DiVA.org:hh-32392DiVA: diva2:1045855
Subject / course
Information Technology
Presentation
2016-05-27, Kristian IV:s väg 3, 301 18 Halmstad, Sweden, Halmstad, 20:54 (English)
Supervisors
Examiners
Available from: 2016-11-29 Created: 2016-11-10 Last updated: 2016-11-29Bibliographically approved

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