Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning.

Journal: International journal of pharmaceutics
PMID: 35760260

Abstract

This paper presents a system, where images acquired with a digital camera are coupled with image analysis and deep learning to identify and categorize film coating defects and to measure the film coating thickness of tablets. There were 5 different classes of defective tablets, and the YOLOv5 algorithm was utilized to recognize defects, the accuracy of the classification was 98.2%. In order to characterize coating thickness, the diameter of the tablets in pixels was measured, which was used to measure the coating thickness of the tablets. The proposed system can be easily scaled up to match the production capability of continuous film coaters. With the developed technique, the complete screening of the produced tablets can be achieved in real-time resulting in the improvement of quality control.

Authors

  • Máté Ficzere
    Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rakpart 3, Hungary.
  • Lilla Alexandra Mészáros
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Nikolett Kállai-Szabó
    Department of Pharmaceutics, Semmelweis University, H-1092 Budapest, Hőgyes Endre street 7-9, Hungary. Electronic address: kallai.nikolett@pharma.semmelweis-univ.hu.
  • Andrea Kovács
    Department of Pharmaceutics, Semmelweis University, H-1092 Budapest, Hőgyes Endre street 7-9, Hungary.
  • István Antal
    Department of Pharmaceutics, Semmelweis University, H-1092 Budapest, Hőgyes Endre street 7-9, Hungary.
  • Zsombor Kristóf Nagy
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Dorián László Galata
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary. Electronic address: galata.dorian.laszlo@vbk.bme.hu.

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