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Real time trajectory matching and outlier detection for assembly operator trajectories

Karel Bauters (UGent) , Johannes Cottyn (UGent) and Hendrik Van Landeghem (UGent)
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Abstract
Flexible, reactive and adaptive manufacturing systems are a prerequisite to cope with the demand for low volumes of highly customized products of today’s market. For years, manufacturing companies have been using real-time data capturing systems, such as RFID, to gather the necessary data to obtain insights in their production processes, mainly in the domain of quality control and inventory management. However, very few work has been done on monitoring an assembly operator during his work cycle in real-time. This paper presents a method to match operator trajectories, obtained through a multi-camera vision system, in real-time to predefined models. This way, the performance of the operator can be assessed online and problematic or anomalous work cycles can be detected. This information can then be used to support the operator in his pursuit for continuous improvement by pointing out improvement potential.
Keywords
Trajectory matching, dynamic time warping, anomaly detection, manual assembly

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Citation

Please use this url to cite or link to this publication:

MLA
Bauters, Karel, Johannes Cottyn, and Hendrik Van Landeghem. “Real Time Trajectory Matching and Outlier Detection for Assembly Operator Trajectories.” Proceedings of 16th the International Industrial Simulation Conference. Ed. Philip Gerril. Eurosis, 2018. Print.
APA
Bauters, Karel, Cottyn, J., & Van Landeghem, H. (2018). Real time trajectory matching and outlier detection for assembly operator trajectories. In P. Gerril (Ed.), Proceedings of 16th the International Industrial Simulation Conference. Presented at the Internation simulation conference, Eurosis.
Chicago author-date
Bauters, Karel, Johannes Cottyn, and Hendrik Van Landeghem. 2018. “Real Time Trajectory Matching and Outlier Detection for Assembly Operator Trajectories.” In Proceedings of 16th the International Industrial Simulation Conference, ed. Philip Gerril. Eurosis.
Chicago author-date (all authors)
Bauters, Karel, Johannes Cottyn, and Hendrik Van Landeghem. 2018. “Real Time Trajectory Matching and Outlier Detection for Assembly Operator Trajectories.” In Proceedings of 16th the International Industrial Simulation Conference, ed. Philip Gerril. Eurosis.
Vancouver
1.
Bauters K, Cottyn J, Van Landeghem H. Real time trajectory matching and outlier detection for assembly operator trajectories. In: Gerril P, editor. Proceedings of 16th the International Industrial Simulation Conference. Eurosis; 2018.
IEEE
[1]
K. Bauters, J. Cottyn, and H. Van Landeghem, “Real time trajectory matching and outlier detection for assembly operator trajectories,” in Proceedings of 16th the International Industrial Simulation Conference, Ponta Delgada, Portugal, 2018.
@inproceedings{8580399,
  abstract     = {Flexible, reactive and adaptive manufacturing systems are a
prerequisite to cope with the demand for low volumes of
highly customized products of today’s market. For years,
manufacturing companies have been using real-time data
capturing systems, such as RFID, to gather the necessary data
to obtain insights in their production processes, mainly in the
domain of quality control and inventory management.
However, very few work has been done on monitoring an
assembly operator during his work cycle in real-time. This
paper presents a method to match operator trajectories,
obtained through a multi-camera vision system, in real-time
to predefined models. This way, the performance of the
operator can be assessed online and problematic or
anomalous work cycles can be detected. This information can
then be used to support the operator in his pursuit for
continuous improvement by pointing out improvement
potential.},
  author       = {Bauters, Karel and Cottyn, Johannes and Van Landeghem, Hendrik},
  booktitle    = { Proceedings of 16th the International Industrial Simulation Conference},
  editor       = {Gerril, Philip },
  keywords     = {Trajectory matching,dynamic time warping,anomaly detection,manual assembly},
  language     = {eng},
  location     = {Ponta Delgada, Portugal},
  publisher    = {Eurosis},
  title        = {Real time trajectory matching and outlier detection for assembly operator trajectories},
  year         = {2018},
}