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Tytuł artykułu

The use of machine vision to control the basic functions of a CNC machine tool using gestures

Identyfikatory
Warianty tytułu
PL
Zastosowanie systemu wizyjnego do sterowania podstawowymi funkcjami obrabiarki CNC za pomocą gestów
Języki publikacji
EN
Abstrakty
EN
This paper presents a concept of a vision system which can simplify the way in which some basic functions of CNC machines can be controlled. The proposed system enables the operator to control a machine tool using gestures. The developed solution is based on Microsoft Kinect for a Windows v2 sensor with a time-offlight camera. A gesture recognition module was implemented in the VC 760 milling machine with an open control system (O.C.E.A.N.). To conduct tests of the proposed interface, a set of gestures used to control a CNC machine was developed. Furthermore, the concept, the structure of the system and the test results are discussed. In summary, the advantages and potential problems of the proposed control system and plans for future development are discussed.
PL
W artykule przedstawiona została koncepcja systemu wizyjnego umożliwiającego kontrolowanie i programowanie obrabiarki CNC za pomocą gestów. Opracowane rozwiązanie ułatwia obsługę obrabiarki CNC poprzez rozpoznawanie gestów wykonywanych przez operatora. Do realizacji sytemu wykorzystany został kontroler ruchu Microsoft Kinect for Windows v2. System rozpoznawania gestów zastosowano w otwartym systemie sterowania obrabiarki VC 760 (O.C.E.A.N.). W ramach badań opracowane zostały zestawy gestów pozwalających na sterowanie obrabiarką CNC. W artykule omówiono koncepcję i budowę systemu oraz wyniki przeprowadzonych testów. W podsumowaniu wskazano zalety oraz potencjalne problemy związane ze strukturą i zastosowaniem systemu, a także zarysowano plany jego dalszego rozwoju.
Rocznik
Strony
213--229
Opis fizyczny
Bibliogr. 39 poz., il., tab.
Twórcy
  • West Pomeranian University of Technology
autor
  • West Pomeranian University of Technology
Bibliografia
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  • [18] Stateczny K., Pajor M., Project of a manipulation system for manual movement of CNCmachine tool body units, Advances in Manufacturing Science, Vol. 35, 33–41.
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  • [23] Miądlicki K., Pajor M., Saków M., Ground plane estimation from sparse LIDAR data for loader crane sensor fusion system, Methods and Models in Automation and Robotics (MMAR), Międzyzdroje 2017, 717–722.
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  • [31] Liu K., Chen C., Jafari R., Kehtarnavaz N., Multi-HMM classification for hand gesture recognition using two differing modality sensors, Circuits and Systems Conference (DCAS), Dallas, USA 2014, 1–4.
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  • [35] Chen M., AlRegib G., Juang B.H., A new 6D motion gesture database and the benchmark results of feature-based statistical recognition, IEEE International Conference on Emerging Signal Processing Applications (ESPA), Las Vegas, USA 2012, 131–134.
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Uwagi
EN
Section "Mechanics Engineering"
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7b8c51f8-4a4b-4cb0-aacb-107f5a268f26
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