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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM15593

IOT BASED AUTOMATED MEDICAL RACK SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM15593

Volume:

6 |

7 |

Jul 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM15593

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

CK

Chandana K

DSBB

Dr. Shankaragowda B B

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Abstract

For decades, it has been suggested that pharmacists are under utilized and could better apply their knowledge and experience to improve medication use. Pharmacists’ traditional roles have been to prepare and distribute medicines, but this has limited both the location where they kept the medicines in stock rooms. The proposed system’s prototype is built on node MCUs and employs IoT to enable medicine identification. The proposed model eliminates the need to spend time searching for the specified medicines in the medical shop. I used a Node MCU board, LED bulb, and Relay module in this IoT-based automated system. I created an admin panel for the user to use in order to organize (store) the names of medicines in the network-connected system. The concept of an automated medicine identification system in medical stores aids in the easy acquisition of medications. This application includes an admin panel for storing medication information and entering rack information. The SQL server is used to create the centralized database, which stores all of the information. The main languages used here are ASP.Net and SQL Server, as well as the Arduino IDE.

KEYWORDS

Medical stores IoT Racks Medicines.

Cite This Article

Chandana K, Dr. Shankaragowda B B, "IOT BASED AUTOMATED MEDICAL RACK SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 7, Jul 2022. https://doi.org/10.55041/IJSREM15593

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Publication Date

7/13/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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