Development of Mobile Barcode Scanner

Student: Emmanuel Ofem Uket (Project, 2025)
Department of Computer Science
University of Calabar, Calabar, Cross River State

Abstract

Barcode technology, which is widely utilized in real-time applications with various sorts of codes, is a foundation of automated identification. Because different types of codes and programs occasionally encounter unique issues, improving their efficacy must be done on a consistent basis. The idea in this study is primarily concerned with detecting several product barcodes at the same time. The suggested alogithm, which would be used for inventory management. Image processing will be used to recognize the barcodes. Images will be captured with a mobile camera sensor. It recognizes ID barcodes such as EAN-13 and code-128 barcodes, as well as 2D barcodes such as QR codes. Furthermore, it will be angle invariant, need less human input than normal, and may be run on existing machines. This approach assists customers in reducing the amount of time they spend on the billing system while shopping. we used OpenCV package to do this in the JAVA IDE.

Keywords
Barcode 1D 2D Symbology Image System Scanner Software
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