Transport and traffic flows monitoring and analysis are extremely important activities to improve the efficiency of transport systems in any continent, region or city. With our object classification technology based on machine learning algorithms, which detects millimetric movements of the terrain and processes transport networks ancillary data, it is possible to have a complete overview of any possible anomaly over specific road segment as well as a predictive analysis needed to plan response services and optimize resources.
Predicting landslide incidents in Friuli Venezia Giulia region with Rheticus Safeland
Monitoring land instability to prevent incidents. Land instability can cause serious damage to infrastructure and the environment, and it poses a threat to citizen safety. Falling rocks may destroy roads, pipes, and buildings and even kill bystanders. In recent years, a continuous growth of the intensity and frequency of land stability phenomena has been observed, ... More
Turning radar data into action: slope instabilities in the urban area of Niscemi (Italy)
Introduction Land instability is a key activity to ensure people’s safety, environmental protection and the safeguarding of infrastructures and strategic assets. However, traditional campaigns for the regular monitoring of wide areas require considerable financial resources, time and are often complex to implement. Problem Niscemi is an historical village located up above a hilly area in ... More