Title: RFID-based smart inventory system for all businesses

Authors: Mrudula Amirapu; Rajendran Eshwari; H.M. Nischitha; N.J. Prajwal; K.P. Lakshmi

Addresses: B.M.S. College of Engineering, P.O. Box No. 1908, Bull Temple Road, Bangalore, Karnataka, 560 019, India ' B.M.S. College of Engineering, P.O. Box No. 1908, Bull Temple Road, Bangalore, Karnataka, 560 019, India ' B.M.S. College of Engineering, P.O. Box No. 1908, Bull Temple Road, Bangalore, Karnataka, 560 019, India ' B.M.S. College of Engineering, P.O. Box No. 1908, Bull Temple Road, Bangalore, Karnataka, 560 019, India ' B.M.S. College of Engineering, P.O. Box No. 1908, Bull Temple Road, Bangalore, Karnataka, 560 019, India

Abstract: This paper details the design and development of an RFID-based prototype inventory system. The system comes with a user-friendly graphical user interface and is built to track and monitor the movement of items, and maintain detailed (timestamped) audit logs on item removal, replenishment, and every user action. While authorised access to the store is achieved through RFID tags, this system uses an automatic servo motor-based locking mechanism to secure the items in the inventory store. The system is configured to identify and authenticate two user profiles - administrator and end user. The administrator (in charge of the inventory) typically has permissions to monitor and update the inventory, while the end user is only able to view the contents of the inventory through the web GUI, and place/replace items in the store. This system has been developed to be scalable to suit inventory applications across business entities, educational institutions such as colleges and schools and even homes. This RFID-based inventory system comprises mainly of an inventory store that has RFID tagged items/goods, and an RFID reader that tracks them.

Keywords: inventory system; passive RFID; active RFID; Raspberry Pi.

DOI: 10.1504/IJIR.2021.113808

International Journal of Inventory Research, 2021 Vol.6 No.1, pp.1 - 13

Received: 12 Jun 2019
Accepted: 27 Jan 2020

Published online: 12 Mar 2021 *

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