A METHOD OF SORTING PARTS IN AN INTELLIGENT FACTORY BASED ON A MANIPULATOR WITH A PNEUMATIC GRIPPER IN COMBINATION WITH A COMPUTER VISION SYSTEM
Abstract views: 153
/ 
PDF downloads: 43
DOI:
https://doi.org/10.5281/zenodo.12744231Keywords:
Computer vision, conveyor, pneumatic gripper, Industry 4.0Abstract
This work presents the results of research in the field of automation of technological processes at a modern intelligent factory. A solution for improving the method of sorting parts on a production line using a manipulator with a pneumatic gripper in combination with a computer vision system is described. An analysis of the pneumatic scheme of the parts distribution station is carried out, the main pneumatic units of the production line are shown. Selected components for building a layout of an automated system for sorting parts on a production conveyor. Experimental studies were conducted to confirm the correctness of theoretical solutions. The model uses a manipulator with three degrees of freedom and a vacuum grip. The program uses the OpenCV library to perform the task of recognizing parts on the assembly line. Experimental studies have shown the correctness of the developed layout and program.
References
Igor Nevliudov, Serhii Novoselov, Oksana Sychova. Control automation of assembly operations using a computer vision system in intelligent production. Journal of natural sciences and technologies. 2023, 2(2), pp. 173-182, DOI: 10.5281/zenodo.8098567
S. Sheth, R. Kher and P. Dudhat, "Automatic Sorting System Using Machine vision". In: Multi Disciplinary International Symposium on Control, Automation & Robotics, 2010.
C. Kunhimohammed, K. Muhammed Saifudeen, S. Sahna, M. Gokul and S. U. Abdulla, "Automated Color Sorting Machine Using TCS230 Colour Sensor and PIC Microcontroller", International Journal of Research and Innovations in Science & Technology, vol. 2, no. 2, 2015.
K. Kumar and S. Kayalvizhi, "Real Time Industrial Colour Shape and Size Detection System Using Single Board", International Journal of Science, Engineering and Technology Research (IJSETRJ, vol. 4, no. 3, 2015.
J. Sobota, R. PiSl, P. Baida and M. Schlegel, "Raspberry Pi and Arduino boards in control education", IFAC Proceedings Volumes, vol. 46, no. 17, 2013, 7-12, 10.3182/20130828-3-UK-2039.00003.
В. В. Krishnan, Р. А. М. Kottalil, A. Anto and В. Alex, "Automatic Sorting Machine", Journal for Research, vol. 2, no. 4, 2016, 66-70.
V. Chakole, P. Ilamkar, R. Gajbhiye and S. Nagrale, "Oranges Sorting Using Arduino Microcontroller (A Review)", International Research Journal of Engineering and Technology (IRJETJ, vol. 6, no. 2, 2019,1800-1802.
Novoselov S., Nevliudov І. 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 – Riga, 2022 – pp.124-138.
I. Nevlyudov/ Development and study of the operation of the module for determining the orientation of the manipulator joint / I. Nevlyudov, S. Novoselov, O. Sychova. // Innovative technologies and scientific solutions for industries. 2022. No. 2 (20). pp 86-96 DOI: https://doi.org/10.30837/ITSSI.2022.20.086
I. Nevliudov, S. Novoselov, O. Sychova and D. Mospan, "Multithreaded Software Control of Industrial Manipulator Movement," 2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 2022, pp. 1-6, doi: 10.1109/MEES58014.2022.10005675
Nevlyudov I., Novoselov S., Sychova O. 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). P. 86–96. URL: https://doi.org/10.30837/itssi.2022.20.086 (date of access: 24.03.2024).
Vakuumni prysosky | camozzi. Holovna | camozzi. URL: https://camozzi.ua/catalog/komponenti-vakuumnoi-sistemi/vakuumni-prisoski (date access: 02.05.2024).
OpenCV: OpenCV-Python Tutorials. OpenCV documentation index. URL: https://docs.opencv.org/3.4/d6/d00/tutorial_py_root.html (date access: 02.05.2024).
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.
ELAKPI: Metodyka pozytsionuvannya 3D pryntera iz kinematykoyu «Delʹta».ELAKPI: Home. URL: https://ela.kpi.ua/handle/123456789/46794 (date access: 18.04.2024).
Learning Factory Distribution Pro, Joining and Sorting Inline MPS 403-1 URL: https://www.festo.com/lv/en/p/learning-factory-distribution-pro-joining-and-sorting-inline-id_PROD_DID_8130882/?page=0 (date access: 18.04.2024).
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Journal of Natural Sciences and Technologies
This work is licensed under a Creative Commons Attribution 4.0 International License.
