Real-Time Asset Tracking with IoT Core API and LORA Technology using Multiple Sensors
This project aims to create a robust real-time asset tracking system leveraging IoT and LoRa technology. By harnessing a suite of sensors-GPS for precise location tracking, accelerometers to detect speed and movement changes, gyroscopes for orientation and rotation data, alongside temperature and humidity sensors for environmental monitoring-the system collects comprehensive data from assets. This information is processed through microcontrollers and transmitted via LoRa transmitters for efficient long-range communication. Upon reception, the LoRa receiver forwards this data to another microcontroller, connecting to both an display and an IoT platform. This setup allows for immediate visualization of asset information, empowering users to monitor and manage assets effectively. The system's multifaceted sensor array and seamless communication architecture promise enhanced asset security, streamlined logistics, and the ability to respond proactively to environmental variations, ultimately optimizing asset management and ensuring the integrity of sensitive goods or environments.
Authors
- G. Krishna Kishore
- R. Lathamanju
- K Krishnavel
- J VenkateshPrasath
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/icstsdg61998.2024.11026464
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00