Intelligent Asset Tracking and Monitoring System
In recent years, the integration of GPS and 4G technology for asset monitoring has gained significant traction, playing a crucial role in enhancing operational efficiency and productivity within today's dynamic business landscape. Effective asset tracking and monitoring have become paramount for businesses seeking to optimize their operations. This paper unveils a comprehensive system utilizing a blend of GPS and 4G technologies to deliver real-time tracking and monitoring of movable assets. The system is designed to be user-friendly, dependable and cost-effective, to make it suitable for diverse applications. At its core, the system leverages an ESP32 microcontroller board and SIM7600 Communication Module, facilitating True Cellular Internet of Things (IoT) functionality. Integration of a GPS module enables real-time tracking, providing precise and up-to-date location data for the assets. This critical data is securely stored on a cloud platform, granting asset managers immediate access and enabling real-time tracking through a dedicated user interface. One significant advantage of this system lies in its portability and adaptability to remote locations, owing to its battery-powered design. This feature ensures its usefulness even in areas with limited power resources. The system's design, combining GPS, 4G, and cloud storage capabilities, provides a comprehensive solution for effective asset monitoring, offering valuable insights to enhance decision-making processes. This paper delves into the design, implementation, and evaluation of the system, shedding light on its capabilities and potential applications. By seamlessly integrating GPS and 4G technology, this asset monitoring system is useful for to technological advancements, with a scalable and efficient solution for businesses across various sectors.
Authors
- Ravikant Khamitkar (ORCID: https://orcid.org/0000-0003-2196-3132)
- Roger R. Dube (ORCID: https://orcid.org/0000-0001-9395-7554)
Institutions
- Solapur University (IN)
Publication Details
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1109/iatmsi64286.2025.10984922
- Citations
- 1
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 3.13