Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Vision Based Tire Mold Defect Inspection and Printing System

비전기반 타이어 몰드 불량 검사 및 검사서 출력 시스템

  • Lee, Si-Woong (Department of Information and Communication Engineering, Hanbat National University) ;
  • Kang, Hyun-Soo (School of Information and Communication Engineering, Chungbuk National University)
  • Received : 2021.04.11
  • Accepted : 2021.05.11
  • Published : 2021.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents a vision based tire mold inspection system where mold defects are inspected and the sizes of specific parts of the mold are measured. There are a lot of challenging issues as letters and pictures of intaglio are engraved on a bright surface of the tire mold. To solve the issues, we carefully selected a line-scan camera and a line light. In addition, we used PLC to control the mechanical parts. The developed system provides inspection of misspelled and deformed letters as well as a variety of the functions such as size measurement of engraved regions and inspection report file creation.

Keywords

References

  1. N. Cai, Y. Chen, G. Liu, and C. Guandong, "A vision-based character inspection system for tire mold," Assembly Automation, vol. 37, no. 2, pp. 230-237, Apr. 2017. https://doi.org/10.1108/AA-07-2016-066
  2. B. J. Lee and H. S. Kang, "Object width measurement system using light sectioning method," Journal of the Korea Institute of Info. and Comm. Eng., vol. 18, no. 3, pp. 697-705, Mar. 2014. https://doi.org/10.6109/jkiice.2014.18.3.697
  3. H. Bhamare and A. Khachane, "Quality Inspection of Tire using Deep Learning based Computer Vision," Int. Journal of Eng. Research & Tech., vol. 8, no. 11, Nov. 2019.
  4. G. Zhao and S. Qin, "High-Precision Detection of Defects of Tire Texture Through X-ray Imaging Based on Local Inverse Difference Moment Features," Sensors, vol. 18, no. 8, pp. 2524-1~2524-24, Aug. 2018. https://doi.org/10.3390/s18082524
  5. S. W. Lee and H. S. Kang, "Tire mold inspection system," in Proceeding of the 48th KIICE Conference, vol. 24, no. 2, pp. 17-19, Oct. 2020.
  6. OpenCV team [Internet]. Available: http://opencv.org/.
  7. J. W. Song, N. R. Jung, and H. S. Kang, "Container BIC-code region extraction and recognition method using multiple thresholding," Journal of the Korea Institute of Info. and Comm. Eng., vol. 19, no. 6, pp. 1462-1470, Jun. 2015. https://doi.org/10.6109/jkiice.2015.19.6.1462