Smart Environments

Measuring air quality with

In many applications it is useful to have a continuous monitoring of heterogeneous environmental parameters for statistical purposes, security, evaluation of effectiveness and optimization. The continuous monitoring is accompanied by environmental monitoring understood as the identification and prevention of risk factors for the protection of the environment and human health. Environmental control allows to quantify the impacts of weather events, starting from the measurement of environmental parameters (e.g., particular matter, amount of rainfall, direction and wind speed, etc.) from sensors connected to intelligent monitoring and control units. helps to track and assert the air quality in both indoor and outdoor environments, thus becoming “smart” environments and based on the Internet of Things (IoT) paradigm. 

A new frontier of smart monitoring and controlling

Our experience starts from the scientific community world, therefore extended to public administrations, industries and utilities. helps them to enable cyber physical systems, by implementing the most flexible and scalable method to manage devices in general thanks to its modular, deployed and ready to operate OS. By accessing the services based on it will be possible to collect and process large amounts of data (big data), also bringing artificial intelligence algorithms directly to the devices, especially in environments with network connection limits. This allows real-time monitoring, counting of people and objects, detection of flows (people, vehicles, etc.), security and visibility (things and people).


Motorsport with

Thanks to the technology, the “SIC – Stretto In Carena” MotoStudent’s team deployed an advanced dashboard for a racing motorcycle. is used for telemetry, geolocation of the motorcycle in track, the management of the graphic dashboard, and the real-time communication with the Engine Control Unit.

Connecting machines for smart manufacturing facilities helps industries to make manufacturing processes “smart”, i.e., safer and sustainable. enables smart manufacturing facilities, lets collecting data from a large number of machines, tools and IoT sensors. They thus become intelligent and interconnected by means of WiFi 802.11 b/g/n (2.4G), Ethernet, LoRa®, 3G/4G/LTE and GEOlocation with embedded GNSS. Resulting advantages are in the automation by deploying new technologies like machine learning, artificial intelligence and cognitive analytics.