Real-time Tablet Inspection using Computer Vision for Blister Packing Machines

Anish Kadamathikuttiyil Karthikeyan Pillai, Ashley Ellis, Helkier Henrique Rossato, Enda Fallon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The pharmaceutical industry has been grappling with a problem of wastage of tablets during blister packing due to inspection issues. The current approach does not involve inspecting the tablets before they are placed into blister pockets. Our study aims to address this issue by proposing a solution that involves early identification of defective tablets using a convolutional neural network. The objective is to use a trained convolutional neural network with the help of canny edge detection and TensorFlow with Keras to develop a zero-defect tablet quality control system. We have several test vectors as canny edge can only be used to detect whether tablets are defective or pristine based on size and shape. In this work we test colour without canny edge and then we will iterate on the created model by creating two convolutional neural networks. One will have canny edge and one will not and we will compare their results on defective or pristine tablets. The initial results of our work were that our model could predict certain colour's well and that our canny edge convolutional neural network produced worse accuracy results than the blob detection convolutional neural network. The blob detection convolutional neural network produced good results for detecting defective or pristine tablets.

Original languageEnglish
Title of host publicationICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings
EditorsJihad Mohamad Alja'Am, Jihad Mohamad Alja'Am, Samir Abou Elseoud, Omar Karam
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350303254
ISBN (Print)9798350303254
DOIs
Publication statusPublished - 2023
Event5th International Conference on Computer and Applications, ICCA 2023 - Cairo, Egypt
Duration: 28 Nov 202330 Nov 2023

Publication series

NameICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings

Conference

Conference5th International Conference on Computer and Applications, ICCA 2023
Country/TerritoryEgypt
CityCairo
Period28/11/2330/11/23

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