LPWAN · low cost · low power

We create and implement projects in hard-to-reach places in Georgia

Embracing the Future: IoT Technology Services

About IoT Laboratory

Empowering Change Through Connected Solutions

Projects of the IoT lab

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Receiving data by W5500S2E-S1

Receiving data by W5500S2E-S1

Here are some easy-to-use services that can be used to receive data from a device equipped with the W5500S2E-S1 Ethernet module: Adafruit IO Adafruit IO is a cloud-based platform for collecting, storing, and visualizing data from IoT devices. It provides easy-to-use APIs for sending data to the platform and can also integrate with other services […]

Introduction to IoT and its Implementation in Tbilisi

Introduction to IoT and its Implementation in Tbilisi

Introduction to IoT and its Implementation in Tbilisi The Internet of Things (IoT) is revolutionizing the way we interact with our physical world. It is a concept that envisions a future where everyday objects, devices, and machines are interconnected through the internet, enabling them to collect and exchange data, make intelligent decisions, and enhance our […]

Comparison of LoraWAN & XBee technology [modules], for geophone and/or seismograph data transmission

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)

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 […]

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