Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31290
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dc.contributor.authorAbdullahi, Hassan M.-
dc.date.accessioned2026-05-18T17:13:35Z-
dc.date.available2026-05-18T17:13:35Z-
dc.date.issued2025-10-
dc.identifier.urihttp://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31290-
dc.description.abstractWarehouses and Stores commonly store valuable products, making them prime targets for criminal activities. Strong security measures are necessary to protect assets and maintain operational efficiency. IoT-based antitheft system involves the tracking and securing of assets in a warehouse or store. This system measures the weight of items stored in the warehouse, monitors the values in real-time, and sends them to the ThingSpeak web platform using IoT technology which also offers remote control of the system via the SinricPro platform. An antitheft alert will be triggered whenever there is a discrepancy in the stored items without authorization. This project was achieved by using an Arduino Uno Microcontroller integrated with a Load cell for weight measurements, an ESP8266 Wi-Fi Module is also incorporated for wireless communication and access to the internet. The GSM module and Buzzer serve as the alarm unit for notifying users via SMS and sound. The system demonstrated high performance in multiple areas. Weight measurement accuracy ranged from 97.02% to 99.58%, with improved precision at higher weights. The alert system responded to unauthorized access within 2 seconds, with reliable buzzer activation and SMS delivery. Wireless connectivity between the NodeMCU and cloud platforms remained stable, achieving over 98% uptime during testing. Remote switching and control via the SinricPro platform succeeded in 100% of test attempts, while the keypad-based access ensured accurate differentiation between authorized and unauthorized users. These results affirm the system’s capability to enhance inventory control and security in real-world warehouse settings.en_US
dc.language.isoenen_US
dc.publisherConfluence University Journal of Science and Technologyen_US
dc.subjectInternet of Things IOTen_US
dc.subjectLoad Cellsen_US
dc.subjectAnti Theften_US
dc.subjectMicro Controlleren_US
dc.titleAn IOT-based Antitheft System for Warehouse and Storesen_US
dc.typeArticleen_US
Appears in Collections:Telecommunication Engineering

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