Abstract
Adulteration and the introduction of counterfeit medicine in the pharmaceutical market is an increasing problem in our country. Official reports from WHO states that nearly 35% of the fake drugs in the world are being imported from India making up to a 4000 crore drug mafia market. The main reason is human intervention at every stage of the stringent process in the current system. This induces inevitable human error which is taken advantage of. The absence of an automated system is the main and the biggest drawback fof the currently implemented system. The paper proposes an automated system that provides a unique recognition mechanism by generating machine-readable code for each entity. This generation of the machine-readable code is backed up by encryption and hashing and hence cannot be replicated by a third party.
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Chandrashekhar, A.M., Naveen, J., Chethana, S., Charith, S. (2021). Tackling Counterfeit Medicine Through an Automated System Integrated with QR Code. In: Hemanth, J., Bestak, R., Chen, J.IZ. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 57. Springer, Singapore. https://doi.org/10.1007/978-981-15-9509-7_2
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DOI: https://doi.org/10.1007/978-981-15-9509-7_2
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