---
_id: '2128'
abstract:
- lang: eng
  text: We present the concept of a perceptive motor in terms of a cyber-physical
    system (CPS). A model application monitoring a knitting process was developed,
    where the take-off of the produced fabric is controlled by an electric motor.
    The idea is to equip a synchronous motor with a smart camera and appropriate image
    processing hard- and software components. Subsequently, the characteristics of
    knitted fabric are analysed by machine-learning (ML) methods. Our concept includes
    motor-current analysis and image processing. The aim is to implement an assistance
    system for the industrial large circular knitting process. An assistance system
    will help to shorten the retrofitting process. The concept is based on a low cost
    hardware approach for a smart camera, and stems from the recent development of
    image processing applications for mobile devices [1–4].
author:
- first_name: Kristijan
  full_name: Vukovic, Kristijan
  last_name: Vukovic
- first_name: Kristina
  full_name: Simonis, Kristina
  last_name: Simonis
- first_name: Helene
  full_name: Dörksen, Helene
  id: '46416'
  last_name: Dörksen
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Vukovic K, Simonis K, Dörksen H, Lohweg V. Efficient Image Processing System
    for an Industrial Machine Learning Task. In: <i>Conference on Machine Learning
    for Cyber-Physical Systems (ML4CPS)</i>. Fraunhofer Application Centre IOSB-INA,
    Lemgo; 2015. doi:<a href="https://doi.org/10.1007/978-3-662-48838-6_8">10.1007/978-3-662-48838-6_8</a>'
  apa: Vukovic, K., Simonis, K., Dörksen, H., &#38; Lohweg, V. (2015). Efficient Image
    Processing System for an Industrial Machine Learning Task. In <i>Conference on
    Machine Learning for Cyber-Physical Systems (ML4CPS)</i>. Fraunhofer Application
    Centre IOSB-INA, Lemgo. <a href="https://doi.org/10.1007/978-3-662-48838-6_8">https://doi.org/10.1007/978-3-662-48838-6_8</a>
  bjps: <b>Vukovic K <i>et al.</i></b> (2015) Efficient Image Processing System for
    an Industrial Machine Learning Task. <i>Conference on Machine Learning for Cyber-Physical
    Systems (ML4CPS)</i>. Fraunhofer Application Centre IOSB-INA, Lemgo.
  chicago: Vukovic, Kristijan, Kristina Simonis, Helene Dörksen, and Volker Lohweg.
    “Efficient Image Processing System for an Industrial Machine Learning Task.” In
    <i>Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)</i>. Fraunhofer
    Application Centre IOSB-INA, Lemgo, 2015. <a href="https://doi.org/10.1007/978-3-662-48838-6_8">https://doi.org/10.1007/978-3-662-48838-6_8</a>.
  chicago-de: 'Vukovic, Kristijan, Kristina Simonis, Helene Dörksen und Volker Lohweg.
    2015. Efficient Image Processing System for an Industrial Machine Learning Task.
    In: <i>Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)</i>.
    Fraunhofer Application Centre IOSB-INA, Lemgo. doi:<a href="https://doi.org/10.1007/978-3-662-48838-6_8,">10.1007/978-3-662-48838-6_8,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Vukovic, Kristijan</span> ;
    <span style="font-variant:small-caps;">Simonis, Kristina</span> ; <span style="font-variant:small-caps;">Dörksen,
    Helene</span> ; <span style="font-variant:small-caps;">Lohweg, Volker</span>:
    Efficient Image Processing System for an Industrial Machine Learning Task. In:
    <i>Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)</i>. Fraunhofer
    Application Centre IOSB-INA, Lemgo, 2015'
  havard: 'K. Vukovic, K. Simonis, H. Dörksen, V. Lohweg, Efficient Image Processing
    System for an Industrial Machine Learning Task, in: Conference on Machine Learning
    for Cyber-Physical Systems (ML4CPS), Fraunhofer Application Centre IOSB-INA, Lemgo,
    2015.'
  ieee: K. Vukovic, K. Simonis, H. Dörksen, and V. Lohweg, “Efficient Image Processing
    System for an Industrial Machine Learning Task,” in <i>Conference on Machine Learning
    for Cyber-Physical Systems (ML4CPS)</i>, 2015.
  mla: Vukovic, Kristijan, et al. “Efficient Image Processing System for an Industrial
    Machine Learning Task.” <i>Conference on Machine Learning for Cyber-Physical Systems
    (ML4CPS)</i>, 2015, doi:<a href="https://doi.org/10.1007/978-3-662-48838-6_8">10.1007/978-3-662-48838-6_8</a>.
  short: 'K. Vukovic, K. Simonis, H. Dörksen, V. Lohweg, in: Conference on Machine
    Learning for Cyber-Physical Systems (ML4CPS), Fraunhofer Application Centre IOSB-INA,
    Lemgo, 2015.'
  ufg: '<b>Vukovic, Kristijan et. al. (2015)</b>: Efficient Image Processing System
    for an Industrial Machine Learning Task, in: <i>Conference on Machine Learning
    for Cyber-Physical Systems (ML4CPS)</i>, Fraunhofer Application Centre IOSB-INA,
    Lemgo.'
  van: 'Vukovic K, Simonis K, Dörksen H, Lohweg V. Efficient Image Processing System
    for an Industrial Machine Learning Task. In: Conference on Machine Learning for
    Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo;
    2015.'
date_created: 2019-12-04T09:04:50Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1007/978-3-662-48838-6_8
keyword:
- Assistance System
- Euler Number
- Synchronous Motor
- Image Processing System
- Image Processing Method
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-662-48838-6_8
place: Fraunhofer Application Centre IOSB-INA, Lemgo
publication: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)
status: public
title: Efficient Image Processing System for an Industrial Machine Learning Task
type: conference
user_id: '68554'
year: 2015
...