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Comparison of LoraWAN & XBee technology [modules], for geophone and/or seismograph data transmission
A geophone is a device that converts ground motion into electrical signals, which can be used to monitor seismic activity. A seismic monitoring system is a network of geophones that collect and analyze data from different locations. In this project, we will use an Arduino-based microcontroller to interface with a geophone sensor and transmit the […]
An IoT-based landslide detection system for Georgia (short introduction)
This project proposes an IoT-based landslide detection system for Georgia. Landslides are a major threat, and early detection is crucial. The system uses sensors on slopes and riverbeds to collect real-time environmental data. This data is then analyzed to assess landslide risk and trigger warnings for residents and authorities. This allows taking preventive measures to […]
Early Warning System for Forest Fires using IoT
Our IoT-based early warning system for forest fires leverages low-cost sensors and advanced predictive modelling to detect and prevent wildfires in vulnerable areas, such as the Borjomi-Kharagauli forest-park. By monitoring key environmental parameters such as temperature, humidity, and air quality (smoke in air) in real-time, our system can identify potential fire risks and issue timely […]
IoT-Enabled landslide monitoring network for high mountain Georgia
Our IoT-enabled landslide (avalanche) prediction and monitoring system integrates remote sensors, weather stations, and predictive analytics to assess and mitigate avalanche risks in mountainous regions. By continuously monitoring snowpack conditions, weather patterns, and terrain characteristics, our system can identify areas prone to avalanches and issue warnings to “back country” enthusiasts, ski resorts, and transportation authorities. […]