Optimizing Warehouse Management An RFID-Based Tracking Application with Raspberry Pi 4 and Firebase Integration

Cem Özkurt

EN

Optimizing Warehouse Management An RFID-Based Tracking Application with Raspberry Pi 4 and Firebase Integration

Abstract

Modern businesses increasingly rely on technological solutions for warehouse management to enhance efficiency and inventory tracking. This paper explores the development of a warehouse tracking application utilizing Radio-Frequency Identification (RFID) technology, Raspberry Pi 4, and Firebase. RFID technology enables wireless transmission of unique identifying information of objects, facilitating real-time monitoring of product movements within the warehouse. Raspberry Pi 4 serves as a low-cost and powerful computing platform, allowing for the rapid development of tailored warehouse tracking applications. Integration with Firebase enables instant updates of stock movements and seamless real-time inventory tracking through a mobile application. The paper discusses the advantages of the developed application for businesses, explores related works in the realm of RFID technology, and details the materials, methods, and results of the application development process. Ultimately, the application offers businesses a precise, fast, and efficient solution for inventory management, contributing to the optimization of business processes and highlighting the potential of academic-industry partnerships in driving innovative solutions.

Keywords

RFID , Flutter , Raspberry Pi 4 , Firebase , Warehouse Tracking , Inventory Management , IotT

References

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Details

Primary Language

English

Subjects

Stream and Sensor Data

Journal Section

Research Article

Authors

Cem Özkurt ^*
0000-0002-1251-7715
Türkiye

Publication Date

November 21, 2024

Submission Date

February 7, 2024

Acceptance Date

October 28, 2024

Published in Issue

Year 2024 Volume: 7 Number: 1

IZ

https://izlik.org/JA26PE55WD

IEEE

[1]C. Özkurt, “Optimizing Warehouse Management An RFID-Based Tracking Application with Raspberry Pi 4 and Firebase Integration”, International Journal of Data Science and Applications, vol. 7, no. 1, pp. 24–38, Nov. 2024, [Online]. Available: https://izlik.org/JA26PE55WD

AI Research and Application Center, Sakarya University of Applied Sciences, Sakarya, Türkiye.

Optimizing Warehouse Management An RFID-Based Tracking Application with Raspberry Pi 4 and Firebase Integration

Abstract

Keywords

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References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

IZ

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