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High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test

Computer Vision and Pattern Recognition 2021-02-09 v2

Abstract

To address the problem of online automatic inspection of drug liquid bottles in production line, an implantable visual inspection system is designed and the ensemble learning algorithm for detection is proposed based on multi-features fusion. A tunnel structure is designed for visual inspection system, which allows bottles inspection to be automated without changing original

Keywords

Cite

@article{arxiv.2101.01362,
  title  = {High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test},
  author = {Le Ma and Xiaoyue Wu and Zhiwei Li},
  journal= {arXiv preprint arXiv:2101.01362},
  year   = {2021}
}