Low-Cost 3D Scanning in a Smart Learning Factory

Christian Petersson Nielsen*, Ali Ahmad Malik, David Grube Hansen, Arne Bilberg

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

22 Downloads (Pure)

Abstract

With the increased focus over the recent years on digitalizing the factory, 3D scanning has become more and more popular. Acquiring a point cloud of a given factory has shown several benefits, such as better documentation, realistic simulation models, collision detection of materials, visualization of factory development, and more. This paper investigates the testing of a developed low‐cost 3D scanner in a Smart Learning Factory based on parameters identified in literature. Furthermore, the paper compares the developed solution to a commercially available solution. This comparison indicates possible application areas for the developed low-cost solution. The 3D scanner is based on the Microsoft Kinect and a developed hardware platform combined with custom software for acquiring 360° point clouds. A discussion on the acquired results, as well as future works on the developed solution finalizes the paper.
Original languageEnglish
JournalProcedia Manufacturing
Volume38
Pages (from-to)824-831
ISSN2351-9789
DOIs
Publication statusPublished - 2019
Event29th International Conference for Flexible Automation & Intelligent Manufacturing: Beyond Industry 4.0: Industrial Advances, Engineering Education and Intelligent Manufacturing - Limerick, Ireland
Duration: 23. Jun 201927. Jun 2019

Conference

Conference29th International Conference for Flexible Automation & Intelligent Manufacturing
CountryIreland
CityLimerick
Period23/06/201927/06/2019

Keywords

  • Digital Twins
  • Point Cloud
  • Learning Factory
  • Laser Scanning

Fingerprint Dive into the research topics of 'Low-Cost 3D Scanning in a Smart Learning Factory'. Together they form a unique fingerprint.

Cite this