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2022•2022 6th International Conference on Computing Methodologies and Communication (ICCMC)Requires access

Counterfeit Drug Detection System with Multi-Layered Check and SCM using Blockchain

Nagasai Mudgala Chinni, Sushma Sri Burramsetty, Satya Deepika Achnata, Riteesh Kotturu, Aluri Anand Sai, N. Neelima

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Abstract

10% of drugs in the world are counterfeits and 200 billion dollars are wasted on counterfeits. These counterfeit drugs not only contain toxic doses but also cause poisoning that leads to death. Using these drugs, not only reduces the treatment of contagious health problems but also increases disease progression that leads to fatal. This project produces accurate results about counterfeit drugs and the usage of drugs if it is not counterfeit. Using Optical Character Recognition (OCR) check of medicine, the check requires the minute details and then determines whether the medicine sold is genuine or not. So, they can get the percentage of how genuine the drugs are. By doing this project, one could help people by making them aware of a counterfeit drug that they have purchased.

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What this paper is about

10% of drugs in the world are counterfeits and 200 billion dollars are wasted on counterfeits. These counterfeit drugs not only contain toxic doses but also cause poisoning that leads to death. Using these drugs, not only reduces the treatment of contagious health problems but also increases disease progression that leads to fatal. This project produces accurate results about counterfeit drugs and the usage of drugs if it is not counterfeit. Using Optical Character Recognition (OCR) check of medicine, the check requires the minute details and then determines whether the medicine sold is genuine or not. So, they can get the percentage of how genuine the drugs are. By doing this project, one could help people by making them aware of a counterfeit drug that they have purchased.

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Available abstract

10% of drugs in the world are counterfeits and 200 billion dollars are wasted on counterfeits. These counterfeit drugs not only contain toxic doses but also cause poisoning that leads to death. Using these drugs, not only reduces the treatment of contagious health problems but also increases disease progression that leads to fatal. This project produces accurate results about counterfeit drugs and the usage of drugs if it is not counterfeit. Using Optical Character Recognition (OCR) check of medicine, the check requires the minute details and then determines whether the medicine sold is genuine or not. So, they can get the percentage of how genuine the drugs are. By doing this project, one could help people by making them aware of a counterfeit drug that they have purchased.

Key concepts: Counterfeit, Counterfeit Drugs, Drug, Internet privacy, Business, Computer security, Character (mathematics), Computer science

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