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Paper ID:IJSREM65346

RFID based inventory managment system

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65346

Volume:

10 |

6 |

Jun 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

Harsh Mandhana

Harsh Mandhana

DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION

SINHGAD COLLEGE OF ENGINEERING

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Sagar Vyas

Sagar Vyas

DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION

SINHGAD COLLEGE OF ENGINEERING

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Harshada Jadhav

Harshada Jadhav

DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION

SINHGAD COLLEGE OF ENGINEERING

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Mentors

PMHG

Prof. M. H. Ghuge

Department of Electronics and Telecommunication Engineering,

Sinhgad College of Engineering, Pune

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Abstract

Warehouse inventory management is a critical function in modern supply chain operations, requiring accurate real-time tracking of goods to maintain stock availability and reduce operational inefficiencies. Traditional manual methods suffer from data entry errors, delayed updates, and increased labor costs. This paper presents the design and implementation of an RFID-Based Warehouse Inventory Management System using an ESP32 microcontroller, dual MFRC522 RFID readers for entry and exit monitoring, servo motor-controlled gates, a SIM800L GSM module for SMS alerts, and a web-based management dashboard. Each inventory item is assigned a unique RFID tag; upon detection at entry or exit points, the system automatically updates stock quantities, controls gate access, and transmits real-time data to a Wi-Fi-hosted dashboard accessible via any browser. The system continuously monitors stock levels and generates automated SMS notifications to warehouse management and suppliers when thresholds are breached or stock reaches zero. Experimental results demonstrate reliable RFID tag detection, accurate inventory count updates, proper gate actuation, and timely GSM alert generation. The proposed system reduces manual effort, improves inventory accuracy, and provides a cost-effective IoT-based smart warehouse solution.

KEYWORDS

RFID Warehouse Inventory Management ESP32 MFRC522 IoT GSM SIM800L Servo Motor Web Dashboard Automated Inventory Tracking.

Cite This Article

Harsh Mandhana, Sagar Vyas, Harshada Jadhav, Prof. M. H. Ghuge, "RFID based inventory managment system," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-5, Jun 2026.

Full Article/Conclusion

This paper presented an RFID-Based Warehouse Inventory Management System integrating an ESP32 microcontroller, dual MFRC522 RFID readers, SG90 servo-controlled gates, a SIM800L GSM module, and a Wi-Fi-hosted web dashboard. The hardware prototype, shown in Fig. 4 and Fig. 5, was built using a cardboard warehouse model and validated across 28 test cycles. Experimental results confirmed 100% RFID detection accuracy, 100% inventory count accuracy, gate actuation latency of 180–220 ms, and GSM alert delivery within 7 seconds. The system successfully automates stock tracking, gate control, and low-stock notifications, demonstrating practical viability for smart warehouse deployment. Future Work: (1) Upgrade to UHF RFID for extended read range; (2) Integrate cloud storage (Firebase or AWS IoT) for persistent historical analytics; (3) Implement MQTT protocol for lightweight dashboard updates; (4) Develop a companion mobile application; and (5) Conduct field trials in an active warehouse with 50+ SKUs to evaluate scalability.

References

[1]  M. A. Ustundag and E. Cevikcan, Industry 4.0: Managing The Digital Transformation. Springer, 2018. [2]     K. Finkenzeller, RFID Handbook: Fundamentals and Applications in Contactless Smart Cards, Radio Frequency Identification and Near-Field Communication. John Wiley & Sons, 2010. [3]   R. Kumar and N. Singh, "ESP32 microcontroller for IoT applications: A comprehensive review," Journal of Embedded Systems and IoT, vol. 3, no. 2, pp. 45–52, 2022. [4]  L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil, "LANDMARC: Indoor location sensing using active RFID," Wireless Networks, vol. 10, no. 6, pp. 701–710, 2004. [5] R. Want, "An introduction to RFID technology," IEEE Pervasive Computing, vol. 5, no. 1, pp. 25–33, 2006. [6]  M. Gireesh Kumar, K. Suresh, and B. Sridhar, "Zigbee based indoor campus inventory tracking using RFID module," IJERA, vol. 4, no. 6, pp. 118–124, 2014.

Editorial & Review Transparency

Publication Date

6/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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