An IOT-based antitheft System for Warehouse and Stores

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.

Authors

Publication Details

Journal
Confluence University Journal of Science and Technology
Published
2025-01-01
DOI
https://doi.org/10.5455/cujostech.251009
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

An IOT-based antitheft System for Warehouse and Stores

E. N. Onwuka, Kufre Esenowo Jack, Hassan Abdullahi, Chika Innocent et al.
Confluence University Journal of Science and Technology
IoT and GPS-based Vehicle Safety Systems
article

An IOT-based antitheft System for Warehouse and Stores

E. N. Onwuka, Kufre Esenowo Jack, Hassan Abdullahi, Chika Innocent, David Babarinde
article en

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.

Confluence University Journal of Science and TechnologyVol. 2(2)
Openalex Percentile: Top 72%
IoT and GPS-based Vehicle Safety Systems
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