Autors: Zagorski, M. H., Miltchev, R. I., Slavchev N.
Title: Development of a Conveyor Belt with a Computer Vision Module for Educational Purposes
Keywords: 3D printing, computer vision, computer-aided design, conveyor belt, education

Abstract: The present paper aims to follow the development of a belt conveyor equipped with a computer vision module. The process of constructing the system with the help of CAD software, as well as its subsequent physical manufacturing are considered. An exemplary application of the computer vision module for detecting defective parts is demonstrated.

References

  1. W. Li, Y. Zheng, and D. Xinfa, "The design and research of belt transport system based on PLC," 2010 International Conference on Advances in Energy Engineering, Beijing, pp. 120-124, 2010, doi: 10.1109/ICAEE.2010.5557599.
  2. G. Fedorko, “Implementation of Industry 4.0 in the belt conveyor transport”, MATEC Web of Conferences 263, 01001. 2019, doi: 10.1051/matecconf/201926301001
  3. S. Wang, W. Guo, W. Wen, R. Chen, T. Li, and F. Fang. “Research on Belt Conveyor Monitoring and Control System”, Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg, 2010, doi: 10.1007/978-3-642-16336-4_44
  4. A. Martinetti, L. A. van Dongen, and R. Romano, “Beyond Accidents: A Back-Analysis on Conveyor Belt Injury for a Better Design for Maintenance Operations”, American Journal of Applied Sciences, 14(1), pp. 1-12, 2017, doi: 10.3844/ajassp.2017.1.12
  5. W. Li, Z. Wang, Z. Zhu, G. Zhou, and G. Chen, “Design of Online Monitoring and Fault Diagnosis System for Belt Conveyors Based on Wavelet Packet Decomposition and Support Vector Machine”, Advances in Mechanical Engineering, 5, 2013, doi:10.1155/2013/797183
  6. G. Lodewijks, W. Li, Y. Pang, and X. Jiang, X, “An Application of the IoT in Belt Conveyor Systems”. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864, Springer, Cham, 2016, doi: 10.1007/978-3-319-45940-0_31
  7. J. Szrek, J. Wodecki, R. Błażej, and R. Zimroz, “An Inspection Robot for Belt Conveyor Maintenance in Underground Mine—Infrared Thermography for Overheated Idlers Detection”, Applied Sciences, 10(14):4984, 2020, doi: 10.3390/app10144984
  8. M. Mahmood and I. Shareef, “Applications of Artificial Intelligence for Smart Conveyor Belt Monitoring Systems: A Comprehensive Review”, Journal Européen des Systèmes Automatisés, 57, pp. 1195-1206, 2024, doi: 10.18280/jesa.570426
  9. M. Zhang, H. Shi, Y. Yu, and M. Zhou, “A Computer Vision Based Conveyor Deviation Detection System”, Applied Sciences, 10(7), 2402, 2020, doi: 10.3390/app10072402
  10. Chris_moden (talk) (Uploads), Public domain, via Wikimedia Commons, [Online], Available: https://commons.wikimedia.org/wiki/File:Belt-conveyorhandling2.jpg
  11. HH58, CC BY-SA 4.0 , via Wikimedia Commons, [Online], Available: https://upload.wikimedia.org/wikipedia/commons/8/8d/Heimat_und_Braunkohlemuseum_Steinberg_am_See__F%C3%B6rderbandger%C3%BCst_BBI.jpg
  12. H. Simmons, P. Tiwary, JE Colwell, and M. Kontopoulou, "Improvements in the crystallinity and mechanical properties of PLA by nucleation and annealing", Polymer Degradation and Stability, 166: pp. 248–257, 2019, doi:10.1016/j.polymdegradstab.2019.06.001
  13. K. Szykiedans, W. Credo, and D. Osiński, “Selected Mechanical Properties of PETG 3-D Prints”, Procedia Engineering, vol. 177. pp. 455–461, 2017, doi: 10.1016/j.proeng.2017.02.245
  14. Bambu Lab X1 Carbon 3D printer | Grema 3D - Great Master LTD, Accessed: Jul. 02, 2024, [Online], Available: https://www.grema3d.bg/bg/product/bambu-lab-x1-carbon-3dprinter4/
  15. How to Control a Stepper Motor With a Potentiometer, Accessed: Oct. 21, 2024. [Online]. Available: https://www.instructables.com/How-toControl-a-Stepper-Motor-With-a-Potentiomete/
  16. How to Control a Stepper Motor With a Potentiometer, Accessed: Oct. 21, 2024. [Online]. Available: https://www.instructables.com/How-toControl-a-Stepper-Motor-With-a-Potentiomete/
  17. NEMA 17 Stepper motor, Accessed: Oct. 21, 2024. [Online]. Available: https://reprap.org/wiki/NEMA_17_Stepper_motor
  18. M. Zagorski, “System for Identifying Defective Parts through Computer Vision”, Youth Forums "Science, Technology, Innovation, Business“, 29-30 November 2023

Issue

8th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2024 - Proceedings, 2025, Albania, https://doi.org/10.1109/ISAS64331.2024.10845689

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus