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Embedded image processing on Raspberry Pi connectedto the industrial control system

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Języki publikacji
EN
Abstrakty
EN
This paper deals with the image processing from the camera for Raspberry Pi connected with real-time communication network to the control system (PLC). The low time delay for receiving and sending commands, data, etc. is very important in the automating production processes. This can be provided by industrial real-time network based on Ethernet. The Ethernet POWERLINK, which is supported on B&R PLCs, is one of them. It is a simple solution for a variety of applications because the POWERLINK is publicly available as the open source. Connecting the PLC and Raspberry Pi with Ethernet POWERLINK opens up many applications in industrial automation. For example, image data obtained using a camera attached to Raspberry Pi can be used to sense image of manufacturing processes and products and evaluate their quality in industrial automation. This article focuses on an image processing unit and the PLC system with CPU redundancy used in the industrial application. Vision systems are often used to improve products quality control, saving costs and time.
Rocznik
Strony
62--71
Opis fizyczny
Bibliogr. 27 poz., fig., tab.
Twórcy
  • University of Žilina, Slovak Republic
Bibliografia
  • 1. Bruckner, D. (2018). OPC UA TSN - A new solution for industrial communication. B&R Industrial Automation. [online] Available at: https://www.automationworld.com/sites/default/files/opc_ua_tsn_whitepaper_1.pdf [Accessed 10 Apr. 2019].
  • 2. Bubeníková, E. (2015), The ways of streamlining digital image processing algorithms used for detection of lines in transport scenes video recording, In: PDES 2015: 13th IFAC and IEEE conference on Programmable devices and embedded systems: Cracow, Poland, pp. 174-179.
  • 3. B&R systems documentation. Redundancy. (2019). [online] Available at: https://www.br-automation.com/en/technologies/redundancy/ [Accessed 10 Apr. 2019].
  • 4. Camelia library, C++ (2019), [online] Available at: http://camellia.sourceforge.net [Accessed 29 Apr. 2019].
  • 5. EPSG (The Ethernet POWERLINK Standardization Group). (2019). An Open Source POWERLINK protocol stack: openPOWERLINK. [online] Available at: http://openpowerlink.sourceforge.net/web/ [Accessed 10 Apr. 2019].
  • 6. Face detection using OpenCV and Python: A beginner ́s guide. Superdatascience, [online] Available at: https://www.superdatascience.com/opencv-face-detection/, [Accessed 29 Apr. 2019].
  • 7. Face detection using Haar cascades. OpenCV python tutorials, [online] Available at: http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html#face-detection, [Accessed 29 Apr. 2019].
  • 8. Halgaš, J., Pirník, R. (2015). Monitoring of parking lot traffic using a video detection. In: Acta Technica Corviniensis - Bulletin of engineering, 8(3), pp. 17-20.
  • 9. Hough Circle Transform. OpenCV Python tutorials, [online] Available at: http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_houghcircles/py_houghcircles.html#hough-circles, [Accessed 29 Apr. 2019].
  • 10. Hrbček, J., Šimák, V., Janota, A. and Pirník, R. (2014). Tunnel central control system enhanced with modern control approaches. In: Archives of Transport System Telematics, 7(3), pp. 3-7.
  • 11. IEC 61131. (2019). Standard for programmable controllers. Parts 1-4.
  • 12. Janota, A., Šimák, V., Nemec, D. and Hrbček, J. (2015). Improving the precision and speed ofeuler angles computation from low-cost rotation sensor data. Sensors.
  • 13. Automation Studio. (2019). 3rd-party devices. Bernecker + Rainer Industrie Elektronik GmbH Help Explorer.
  • 14. Hrbček, J., Šimák, V., Janota, A. and Pirník, R. (2014). Tunnel central control system enhanced with modern control approaches. In: Archives of Transport System Telematics, 7(3), pp. 3-7.
  • 15. Hruboš, M. (2016), Searching for collisions between mobile robot and environment, In: International journal of advanced robotic systems, 13(5), pp. 1-11.
  • 16. Koniar, D. (2017). Visual system-based object tracking using image segmentation for biomedical applications. Electrical Engineering, 99(4), pp. 1349-1366.
  • 17. Librare Open CV (2019), [online] Available at: https://opencv.org [Accessed 29 April. 2019].
  • 18. Library IPL-Image processing (2019). [online] Available at: https://computervisiononline.com/software/1105138501, [Accessed 29 Apr. 2019].
  • 19. Mičieta,B., Edl, M. and Krajčovič, M. (2015), Delegate MASs for coordination and control of one-directional AGV systems: a proof-of-concept, In: The International Journal of Advanced Manufacturing Technology [print], 94(1-4), pp. 415-431.
  • 20. OpenCv library, OpenCV, AdaptiveThreshold (2019) [online] Available at: https://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html#cv.AdaptiveThreshold [Accessed 29 April. 2019].
  • 21. Pirník, R. (2016), Integration of Inertial Sensor Data into Control of the Mobile platform. In: Advances in Intelligent Systems and Computing, pp. 271-282.
  • 22. RGB color space. Rapidtables. [online] Available at: https://www.rapidtables.com/web/color/RGB_Color.html, [Accessed 29 April. 2019].
  • 23. Sacimage - image processing library (2019). Available at: https://www.tandfonline.com/doi/abs/10.1080/01431169308904451 [Accessed 29 Apr. 2019].
  • 24. Scikit-image, Image processing in Python library (2019). [online] Available at: https://scikit-image.org/ [Accessed 29 Apr. 2019].
  • 25. Thresholding [online] Available at: https://homepages.inf.ed.ac.uk/rbf/HIPR2/threshld.htm, [Accessed 29 Apr. 2019].
  • 26. Zolotová, I. and Lorenčík, D. (2018), Object recognition in traffic monitoring systems, In.: DISA 2018 - IEEE World Symposium on Digital Intelligence for Systems and Machines, Proceedings, Article number 8490634, pp. 277-282, 1st IEEE World Symposium on Digital Intelligence for Systems and Machines, DISA 2018, Slovakia; Category numberCFP18P13-ART; Code 141064.
  • 27. Ždánsky, J., Rástočný, K. (2014). Influence of Redundancy on Safety Integrity of SRCS with Safety PLC. In: Proceedings of the 10th international conference ELEKTRO 2014, Rajecké Teplice, pp. 508-512.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-28ef1550-d436-4547-bc26-681ae84f49b2
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