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Link to original content: https://doi.org/10.5281/zenodo.5187941
Images of Balls Transported on a Chute - Recording 2

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Published August 12, 2021 | Version v1
Dataset Open

Images of Balls Transported on a Chute - Recording 2

Description

This data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort system can be found in

  • Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking, Transactions on Industrial Electronics, February 2020.
  • See also the project website.

This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them.

The camera was recorded on a Bonito CL-400C. Please see the debayer script on GitHub. The frame rate is 192.9 Hz.

Algorithms for two key challenges can be developed and evaluated on the data sets:

  1. Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications
    • Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer,
      TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,
      Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.
    • Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,
      Predictive Tracking with Improved Motion Models for Optical Belt Sorting,
      at – Automatisierungstechnik, April 2020.
  2. Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to
    • Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,
      Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,
      Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.
    • Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,
      Motion-Based Material Characterization in Sensor-Based Sorting, 
      tm – Technisches Messen, De Gruyter, October 2017.

Acknowledgment

The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Energy on the basis of a resolution of the German Bundestag.

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