CONTROL AUTOMATION OF ASSEMBLY OPERATIONS USING A COMPUTER VISION SYSTEM IN INTELLIGENT PRODUCTION


Abstract views: 42 / PDF downloads: 29

Authors

  • Igor NEVLIUDOV Department of Computer-Integrated Technologies, Automation and Mechatronics, Faculty of Automatics and Computerized Technologies, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • Serhii NOVOSELOV Department of Computer-Integrated Technologies, Automation and Mechatronics, Faculty of Automatics and Computerized Technologies, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • Oksana SYCHOVA Department of Computer-Integrated Technologies, Automation and Mechatronics, Faculty of Automatics and Computerized Technologies, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

DOI:

https://doi.org/10.5281/zenodo.8098567

Keywords:

Computer vision, assembly operations, Industry 4.0, Emgu CV

Abstract

The using principles of control means of assembly operations in production are described. A methods analysis for assessing the accuracy of component installation during assembly work was carried out. The scheme of the automated system operation for controlling the execution of assembly operations has been developed. The mathematical model synthesis of the proposed automated system was performed. The experimental research result is described.

References

Novoselov S., Nevliudov І. The technology of distributed management of production processes with the use of a service-oriented approach. Innovative integrated computer systems in strategic project management: Collective monograph edited by I. Linde, I. Chumachenko. Riga: ISMA. рр. 124-138, 2022. DOI: https://doi.org/10.30837/MMP.2022.151. ISBN -13 (24)978-9984-891-24-8.

S. Novoselov and O. Sychova, "Using Wireless Technology for Managing Distributed Industrial Automation Objects within the Concept of Industry 4.0," 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), Kyiv, Ukraine, 2019, pp. 580-584. doi 10.1109/PICST47496.2019.9061333.

I. Nevlyudov, S. Novoselov, O. Sychova. / Development and study of the operation of the module for determining the orientation of the manipulator joint // Innovative technologies and scientific solutions for industries. 2022. No. 2 (20). pp 86-96 DOI: https://doi.org/10.30837/ITSSI.2022.20.086.

Nevliudov, I., Yevsieiev, V., Demska, N., Novoselov, S. (2020), "Development of a software module for operational dispatch control of production based on cyber-physical control systems", Innovative Technologies and Scientific Solutions for Industries, No. 4 (14), P. 155–168.

Grout I. Digital Systems Design with FPGAs and CPLDs. Amsterdam: Elseveit, 2008. 784 p.

A. Djajadi, F. Laoda, R. Rusyadi, T. Prajogo, and M. Sinaga, "A model vision of sorting system application using robotic manipulator", Journal.uad.ac.id, 2017. [Online]. Available: http://journal.uad.ac.id/index.php/ TELKOMNIKA / article/view/615/424. [Accessed: 21- Sep- 2022].

Juang, Jih-Gau, Yi-Ju Tsai, and Yang-Wu Fan. "Visual recognition and its application to robot arm control." Applied Sciences 5, no. 4 (2015).

Rege Sanket. 2D geometric shape and color recognition using digital image processing International journal of advanced research in electrical, electronics and instrumentation engineering, 2 (6) (2013), pp. 2479-2487.

Kumar Rahul. Object detection and recognition for a pick and place Robot Computer Science and Engineering (APWC on CSE), 2014 Asia-Pacific World Congress on. IEEE (2014).

Chhaya Shambhavi Vijay, Sachin Khera, Pradeep Kumar. The basic geometric shape and primary color detection using image processing on Matlab IJRET: International Journal of Research in Engineering and Technology, 4 (2015), pp. 1163-2319.

Y. Pashchenko. Construction of SIFT descriptors and image matching tasks for an automated part recognition system in manufacturing // 25th International Youth Forum "Radio Electronics and Youth in the 21st Century". Coll. forum materials. T. 2. - Kharkiv: KhNURE. 2021 – Р. 19-20.

Sergiy Novoselov, Oksana Sychova, Yevhenii Pashchenko. Automated module for product identification by their visual characteristics. // IІІ International Scientific and Practical Conference «Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs» MC&FPGA-2021, Kharkiv, Ukraine, June 24-25, 2021. – Kharkiv: NURE, MC&FPGA, 2021. – P. 25-28 DOI: 10.35598/mcfpga.2021.009.

Downloads

Published

2023-06-30

How to Cite

NEVLIUDOV, I., NOVOSELOV, S., & SYCHOVA, O. (2023). CONTROL AUTOMATION OF ASSEMBLY OPERATIONS USING A COMPUTER VISION SYSTEM IN INTELLIGENT PRODUCTION. Journal of Natural Sciences and Technologies, 2(1), 173–182. https://doi.org/10.5281/zenodo.8098567

Issue

Section

Articles