Counterfeit electronics detection system

Abstract

Counterfeit electronics encompass all products made to closely imitate the appearance of the product of another as to mislead consumers. In this study, Counterfeit products refer to items/goods that imitate original products (protected by trademarks, patents, and copyrights) with the intent of deceiving buyers, but also include substandard, poor quality, expired, and counterfeit goods that do not meet required customer satisfaction levels and affect the safety of consumers. The consumption of counterfeit products thus refers to the act of obtaining counterfeit products through the exchange for payment and eventual use of such products. Faking products, such as branded goods, is one of the most serious and difficult issues to address in national and international markets. The main objective of this study was to develop an electronic counterfeit system through the use of iterative development methods to enable customers, government bodies, and retailers to identify and trace the originality of electronics specifically smartphones. This report is a detailed compilation of all activities we engaged in while developing the counterfeit electronics Detection system. It involves chapter 1 which is about the background to the problem, problem statement, objectives, and the scope, chapter 2 which is about the literature review, chapter 3 which is made up of the methodology, chapter 4 which consists of system study, analysis and design, chapter 5 which is about system implementation, testing and validation and chapter 6 which consists of the conclusion. During the data collection and analysis phase, it was found that more than 75% of the sample population were not aware of the existence of any electronics counterfeit detection systems and were not sure of the originality of the smartphones they were using. Of the sample retailers and middlemen, 90%, were badly in need of such a system and strongly welcomed the idea. The gender distribution of the study was uneven as almost 80% of the females never had any idea about counterfeit smartphones, or any detection system while 50% of the males had an idea about counterfeit electronics though also had limited knowledge of any detection system. The system was developed using agile methods that involved iterative methods of development and a prototype were developed and testing was done.