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Research and Implementation on Key Technologies of Assembly Assistance System based on Augmented Reality

  • Jianhui Zhao
  • , Xiaolin Mei
  • , Jinsheng Ma
  • , Rui Wang*
  • , Ruyi Zhang
  • *Corresponding author for this work
  • Beihang University
  • Beijing Polytechnic

Research output: Contribution to journalConference articlepeer-review

Abstract

Aiming at the demand of assembly assistance for complex industrial products, this paper studies the structure and key links of augmented reality aided assembly system, and takes a gear pump as an example to realize the parts detection function based on yolo neural network algorithm. On this basis, the assembly assistance system is built based on Vuforia, and the user interface is designed, realizing the functions of assembly progress identification and assembly information prompt.

Original languageEnglish
Article number012017
JournalJournal of Physics: Conference Series
Volume2196
Issue number1
DOIs
StatePublished - 22 Feb 2022
Event2021 International Conference on Detection Technology and Intelligence System, DTIS 2021 - Virtual, Online
Duration: 3 Dec 20215 Dec 2021

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