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HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 124Crack Detection of Pharmaceutical Vials Using...

Crack Detection of Pharmaceutical Vials Using Agglomerative Clustering Technique

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Abstract:

Pharmaceutical industries remain very profitable but defects in medicine vials are causing losses and adding extra overhead in quality management. In order to minimize these losses and overheads, companies need to find new ways of doing quality management for every vial produced. This paper presents a method for finding cracks on the vials using Agglomerative Clustering Technique. The technique successfully detects all types of cracks on the vials. The algorithm has achieved 100% accuracy in detection of cracks on the Pharmaceutical Vials and can have potential application in pharmaceutical industries in quality control.

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Periodical:

Advances in Science and Technology (Volume 124)

Pages:

60-71

DOI:

https://doi.org/10.4028/p-23rx59

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Online since:

February 2023

Authors:

C.R. Vishwanatha, V. Asha*

Keywords:

Agglomerative Clustering, Cracks, Machine Learning, Pharmaceutical Vials, Quality

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© 2023 Trans Tech Publications Ltd. All Rights Reserved

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