E-ISSN 3115-5057 | ISSN 3115-5049
 

Original Research 


An IOT-based antitheft System for Warehouse and Stores

David Oluwatobi Babarinde, Hassan Musa Abdullahi, Chika Innocent, Elisabeth Nonye Onwuka, Kufre Esenowo Jack.


Abstract
Warehouses 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.

Key words: Arduino Uno, ESP8266, Internet of things, load Cell, ThingSpeak


 
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How to Cite this Article
Pubmed Style

Babarinde DO, Abdullahi HM, Innocent C, Onwuka EN, Jack KE. An IOT-based antitheft System for Warehouse and Stores. CUJOSTECH. 2025; 2(2): 85-93. doi:10.5455/CUJOSTECH.251009


Web Style

Babarinde DO, Abdullahi HM, Innocent C, Onwuka EN, Jack KE. An IOT-based antitheft System for Warehouse and Stores. https://www.cujostech.com.ng/?mno=271513 [Access: October 02, 2025]. doi:10.5455/CUJOSTECH.251009


AMA (American Medical Association) Style

Babarinde DO, Abdullahi HM, Innocent C, Onwuka EN, Jack KE. An IOT-based antitheft System for Warehouse and Stores. CUJOSTECH. 2025; 2(2): 85-93. doi:10.5455/CUJOSTECH.251009



Vancouver/ICMJE Style

Babarinde DO, Abdullahi HM, Innocent C, Onwuka EN, Jack KE. An IOT-based antitheft System for Warehouse and Stores. CUJOSTECH. (2025), [cited October 02, 2025]; 2(2): 85-93. doi:10.5455/CUJOSTECH.251009



Harvard Style

Babarinde, D. O., Abdullahi, . H. M., Innocent, . C., Onwuka, . E. N. & Jack, . K. E. (2025) An IOT-based antitheft System for Warehouse and Stores. CUJOSTECH, 2 (2), 85-93. doi:10.5455/CUJOSTECH.251009



Turabian Style

Babarinde, David Oluwatobi, Hassan Musa Abdullahi, Chika Innocent, Elisabeth Nonye Onwuka, and Kufre Esenowo Jack. 2025. An IOT-based antitheft System for Warehouse and Stores. Confluence University Journal of Science and Technology, 2 (2), 85-93. doi:10.5455/CUJOSTECH.251009



Chicago Style

Babarinde, David Oluwatobi, Hassan Musa Abdullahi, Chika Innocent, Elisabeth Nonye Onwuka, and Kufre Esenowo Jack. "An IOT-based antitheft System for Warehouse and Stores." Confluence University Journal of Science and Technology 2 (2025), 85-93. doi:10.5455/CUJOSTECH.251009



MLA (The Modern Language Association) Style

Babarinde, David Oluwatobi, Hassan Musa Abdullahi, Chika Innocent, Elisabeth Nonye Onwuka, and Kufre Esenowo Jack. "An IOT-based antitheft System for Warehouse and Stores." Confluence University Journal of Science and Technology 2.2 (2025), 85-93. Print. doi:10.5455/CUJOSTECH.251009



APA (American Psychological Association) Style

Babarinde, D. O., Abdullahi, . H. M., Innocent, . C., Onwuka, . E. N. & Jack, . K. E. (2025) An IOT-based antitheft System for Warehouse and Stores. Confluence University Journal of Science and Technology, 2 (2), 85-93. doi:10.5455/CUJOSTECH.251009