Card Cloning for Biochemistry Analyzers

International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue V, May 2018 | ISSN 2321–2705

Card Cloning for Biochemistry Analyzers

Jaseela KA, Divya Unni

Department of Electronics, Vidya Academy of Science and Technology, Thrissur, Kerala, India

Abstract—A smart card, typically a type of chip card, is a plastic card that contains an embedded computer chip either a memory or microprocessor type that stores and transacts data. This data is usually associated with either value, information, or both and is stored and processed within the card’s chip. The card data is transacted via a reader that is part of a computing system. Systems that are enhanced with smart cards are in use today throughout several key applications, including healthcare, banking, entertainment, and transportation.The objective of this project is to produce a cardcloning device for biochemistry analyzer using Verilog. Cardcloning involves the copying of card information at a card terminal using an electronic device or software, and then transferring the information from the master card into a number of slave cards. Biochemistry analyzer is a diagnostic equipment used to measure sugar, protein, cholesterol etc in the blood and urine sample for early detection and diagnosis of diseases. Such diagnostic equipments need a specific card for doing test. This card store testing parameters, details of reagents used and expiry date of the card. Password verification, authentication, data encryptions are used for securing data stored in this card. A specific card is needed for specific equipments. A single card is used for a few numbers of experiments. After this set of experiments we have to replace the card. So a large number of cards are needed for an equipment. By using this cloning device a large number of cards can be produced within a short time.

Index Terms—Cardcloning.

I. INTRODUCTION

In nearly all embedded systems today, some form of nonvolatile memory is used to store information required by the system for each use. This information could be settings from the last system use, preferences selected by the user, or configuration data programmed by the system manufacturer.

In the case of configuration data, this often determines the performance features of the system and may be considered confidential by the system manufacturer. Take for example the consumer product offered at three different levels of performance and three different price points.For manufacturing efficiency, the electronics inside all three products are identical, and only the features that are enabled are different. The configuration data determines the features or levels of performance that will be enabled in the low-end, midrange and high end versions of the product.

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