A stereovision system for three-dimensional measurements of machines

• Autorzy: Grudziński Marek , Marchewka Łukasz

Identyfikatory

DOI

10.17402/332

• Języki publikacji: EN

Abstrakty

EN

The modern manufacturing or transportation machines that are used in industrial processes require continuous supervision in certain circumstances and even manual control by a human. Despite the fact the machines are more and more reliable and accurate than they used to be there is still the need for manual and time-consuming programming and safety control, especially when the external conditions change. For the operation of large machines, where the risk of damage and even disaster exists, an additional supervisory system based on vision devices could be utilized. The vision systems are commonly used in a range of simple 2D detection as well as very precise 3D reconstruction. The stereovision systems could be applied for unusual operations, especially in terms of safety and collision avoidance, such as crane observations while transporting a heavy load, robot and CNC machine preparation and normal operation. Through the use of optical devices the observed objects could be quickly positioned. In this research a test bench for stereovision reconstruction for the example of a robotic arm has been presented. The calibration procedures have been explained and accuracy tests in a large measuring volume were performed. Finally the possibilities of the applications and the utilization of such a system have been assessed.

Słowa kluczowe

EN

stereovision system; machine vision; camera tracking; camera calibration; calibration pattern; 3D reconstruction

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2019
• Tom: nr 58 (130)
• Strony: 16--23
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Grudziński Marek

• West Pomeranian University of Technology Department of Mechanical Engineering and Mechatronics 17 Piastów Ave., 70-310 Szczecin, Poland

autor

Marchewka Łukasz

• West Pomeranian University of Technology Department of Mechanical Engineering and Mechatronics 17 Piastów Ave., 70-310 Szczecin, Poland

Bibliografia

• 1. Bouguet, J.Y. (2010) Camera calibration toolbox for Matlab.
• 2. Luhmann, T., Robson, S., Kyle, S. & Harley, I. (2006) Close Range Photogrammetry: Principles, Methods and Applications. Whittles Publishing.
• 3. Majda, P. & Pajor, M. (2016) Szacowanie niepewności pomiaru przestrzennego błędu pozycjonowania maszyn technologicznych. Mechanik 11, pp. 1546–1550.
• 4. Miądlicki, K., Pajor, M. & Saków, M. (2018) Loader Crane Working Area Monitoring System Based on LIDAR Scanner. In: Hamrol A., Ciszak O., Legutko S., Jurczyk M. (Eds) Advances in Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham, pp. 465–474.
• 5. Olwal, A., Gustafsson, J. & Lindfors, C. (2008) Spatial augmented reality on industrial CNC-machines. Proceedings of SPIE 2008 Electronic Imaging, Vol. 6804 (The Engineering Reality of Virtual Reality 2008), San Jose, CA, January 27–31, 2008.
• 6. Ostrowska, K., Szewczyk, D. & Sładek, J. (2012) Wzorcowanie systemów optycznych zgodnie z normami ISO i zaleceniami VDI/VDE. Mechanika 109, z. 9-M, pp. 167–179.
• 7. Pajor, M., Grudziński, M. & Marchewka, Ł. (2018) Stereovision system for motion tracking and position error compensation of loading crane. AIP Conference Proceedings 2029, 020050.
• 8. Pan, Z., Polden, J., Larkin, N., Van Duin, S. & Norrish, J. (2012) Recent Progress on Programming Methods for Industrial Robots. Robotic and Computer Integrated Manufacturing 28, (2), pp. 87–94.
• 9. Zhang, Z. (1999) Flexible camera calibration by viewing a plane from unknown orientations. Proceedings of the 7th International conference on Computer Vision, 20–27 Sept. 1999, Kerkyra, Greece.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).