Efficient Image Processing System for an Industrial Machine Learning Task

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.

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Restricted https://link.springer.com/chapter/10.1007/978-3-662-48838-6_8
DOI
10.1007/978-3-662-48838-6_8
Konferenz - Beitrag | Englisch
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Einrichtung
Institut - inIT Institut für Industrielle Informationstechnik
Abstract
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].
Stichworte
Assistance System; Euler Number; Synchronous Motor; Image Processing System; Image Processing Method
Erscheinungsjahr
2015
Titel des Konferenzbandes
Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)
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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. doi:10.1007/978-3-662-48838-6_8
Vukovic, K., Simonis, K., Dörksen, H., & Lohweg, V. (2015). 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. https://doi.org/10.1007/978-3-662-48838-6_8
Vukovic K et al. (2015) Efficient Image Processing System for an Industrial Machine Learning Task. Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo.
Vukovic, Kristijan, Kristina Simonis, Helene Dörksen, and Volker 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. https://doi.org/10.1007/978-3-662-48838-6_8.
Vukovic, Kristijan, Kristina Simonis, Helene Dörksen und Volker Lohweg. 2015. 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. doi:10.1007/978-3-662-48838-6_8, .
Vukovic, Kristijan ; Simonis, Kristina ; Dörksen, Helene ; Lohweg, Volker: 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
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.
K. Vukovic, K. Simonis, H. Dörksen, and V. Lohweg, “Efficient Image Processing System for an Industrial Machine Learning Task,” in Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), 2015.
Vukovic, Kristijan, et al. “Efficient Image Processing System for an Industrial Machine Learning Task.” Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), 2015, doi:10.1007/978-3-662-48838-6_8.
Vukovic, Kristijan et. al. (2015): 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.
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.

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