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Integration of RFID and Low-Cost IoT for Storeroom Monitoring: A Prototype Development Approach

Author

Listed:
  • Marliza Ramly

    (Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Muhammad Aminuddin Hasibuan Supirno

    (Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

Abstract

The integration of the current storeroom monitoring system is a crucial solution to overcome the traditional storeroom management systems. It relies heavily on manual operations with minimal technological adoption, which may often lead to lack of adequate security measures and real-time monitoring. Therefore, it will be leaving valuable assets vulnerable to unauthorized access, stealing, and environmental hazards such as fire or extreme temperature fluctuations. This paper presents an integrated low-cost Internet of Things (IoT) for storeroom monitoring system designed to address these shortages by providing a comprehensive accessible solution for storeroom monitoring and security purposes. The proposed system is integrated with Radio-Frequency Identification (RFID) module for secure access control. It also included low-cost IoT devices such as MQ2 Smoke Gas Sensor for real-time fire and smoke detection and implemented with Closed-Circuit Television (CCTV) for live visual surveillance. The system architecture is centered around an ESP32 microcontroller, which processes data from the sensors and transmits it via Wi-Fi to the Blynk cloud platform, enabling real-time alerts and data visualization on a user's mobile device. A set of functionality tests were conducted using a black-box methodology to validate the performance of each component. The results demonstrated the system's effectiveness, with successful connectivity, accurate sensor readings, reliable access differentiation between authorized and unauthorized users, and seamless remote video streaming. This integrated IoT and RFID module shows to be an efficient solution for enhancing both the security and operational system.

Suggested Citation

  • Marliza Ramly & Muhammad Aminuddin Hasibuan Supirno, 2025. "Integration of RFID and Low-Cost IoT for Storeroom Monitoring: A Prototype Development Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 8817-8829, September.
  • Handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:8817-8829
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    References listed on IDEAS

    as
    1. Yongxiang Lang & Guangqing Shan, 2021. "Design of remote electronic fire monitoring system based on K-means clustering algorithm," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 39(3), pages 429-445.
    2. Madison J. Bixler & Dorothée Honhon, 2021. "Exploring the Connections between Backrooms, Inventory Record Inaccuracies, and Waste," Sustainability, MDPI, vol. 13(17), pages 1-12, August.
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