Research on Object Defect Detection of Automated Pipeline Based on Cognex Camera

Authors

  • Jie Luo
  • Jufeng Ye

DOI:

https://doi.org/10.54097/fvp9q425

Keywords:

Defect Detection, Automated Pipeline, Cognex

Abstract

With the continuous improvement of people's living standards, higher requirements have been put forward for the efficiency of the manufacturing industry, so the application of automated pipeline in enterprises is becoming increasingly widespread. Due to various factors such as environment, labor, and technology that affect the manufacturing process of goods, some products have defects. It is necessary to screen out defective products in automated pipeline. This paper investigates the application of Cognex cameras in object defect detection on automated pipeline. The camera obtains material images under backlight conditions to determine the type, defect, color, and position parameters of the material. By analyzing these parameters, it determines whether the material is a qualified part. The results show that the camera can effectively complete the task of object defect detection.

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References

[1] D.G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision. 2004, Vol. 60 (No. 2), p. 91-110.

[2] N. Dalal, B. Triggs. Histograms of Oriented Gradients for Human Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2005, p. 231-236.

[3] S. Ren, K. He, J. Sun. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. Proceedings of the Advances in Neural Information Processing Systems. 2015, p. 91-99.

[4] J. Redmon, S. Divvala, R. Girshick, et al. You Only Look Once: Unified, Real-Time Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016, p. 779-788.

[5] J. Ge. Application of Cognex Surface Inspection System in Aluminum Processing Industry. China Metal Bulletin. 2020, (No. 8), p. 227-229.

[6] W.B. Luo. Application of Cognex Visual System in Maintenance Technology of Cylinder Head Oil Seal Machine. Mechanical & Electrical Engineering Technology. 2019, Vol. 48 (No. 7), p. 246-248.

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Published

29-12-2024

Issue

Section

Articles

How to Cite

Luo, J., & Ye, J. (2024). Research on Object Defect Detection of Automated Pipeline Based on Cognex Camera. Frontiers in Computing and Intelligent Systems, 10(3), 115-117. https://doi.org/10.54097/fvp9q425