UPC BARCODE APPS FOR DRUG REGISTERED VERIFICATION

Authors

  • Fathin Noorshazlina Mohamad Roslan Department of Electronic and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Afzan Othman Department of Electronic and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Azhar Abdul Razak Department of Electronic and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.9448

Keywords:

UPC barcode, apps, product registration, product verification, android, smartphone, counterfeit

Abstract

In pharmacology, drug is used to prevent and cure diseases and to improve the physical or mental well-being. All medicinal products must be registered with Drug Control Authority (DCA) of Malaysia before being marketed. However, there are still numerous unregistered products being sold in night markets and grocery stalls that contained unknown materials that could harm our bodies. As nowadays most people own smartphones, thus it will be great if the smartphone is being utilized to become a mobile apps that can prevent consumers from buying unregistered products. This study described the process of creating a barcode reader application for drug registered verification. The application is created using Android Studio software, Java programming language and source code from GitHub, which is then synchronized with the database of some medicinal products. The barcode scanner is then tested to read the UPC barcode on the products and the result of registration confirmation will be shown on the screen of the smartphone. Thus, it will aware the user from buying the unregistered products.

References

BPFK - About the Drug Control Authority (DCA). Official Portal National Pharmaceutical Control Bureau Ministry of Health Malaysia. Retrieved June 05, 2015 From: Http://Portal.Bpfk.Gov.My/Images/Guidelines_Central/Guidelines_on_Regulatory/ANNEX16ASEANLBLREQ.Pdf.

Budde, A., and Michahelles, F. 2010. Product Empire-Serious Play with Barcodes. Proceeding of Internet of Things (IOT). 1-7.

Gallo, O., and Manduchi, R. 2009. Reading Challenging Barcodes with Cameras. Workshop on Applications of Computer Vision (WACV). 1-6.

Tian Hu and Tao Yang. 2013. Application of Computational Verb Image Processing to 1-D Barcode Localization. IEEE International Conference on Anti-Counterfeiting, Security and Identification (ASID). 1-4.

Adelmann, R., M. Langheinrich, and C. Floerkemeier. 2006. A Toolkit for Bar-Code Recognition and Resolving on Camera Phones – Jump Starting the Internet of Things. Proceedings of the Workshop on Mobile and Embedded Interactive Systems (MEIS'06) at Informatik. GI Lecture Notes in Informatics Series (LNI).

Subpratatsavee, P., Janthong, N., Kuha, P., and Chintho, C. 2014. HC2D Barcode Reader using Embedded Camera in Android Phone. 11th IEEE International Joint Conference on Computer Science and Software Engineering (JCSSE). 254-257.

Von Reischach, F., Karpischek, S., Michahelles, F., and Adelmann, R. 2010. Evaluation of 1D Barcode Scanning on Mobile Phones. Proceeding of Internet of Things (IOT): IEEE Computer Society. 1-5.

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Published

2016-07-26

Issue

Vol. 78 No. 7-5: Biomedical Signal, Image and Devices

Section

Science and Engineering

License

Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

UPC BARCODE APPS FOR DRUG REGISTERED VERIFICATION. (2016). Jurnal Teknologi, 78(7-5). https://doi.org/10.11113/jt.v78.9448