World Urbanization propects 1950- 2030
Real-time traffic monitoring: monitor traffic in real-time and access AI-Powered analysis to identify traffic congestion and adjust traffic signals or other traffic management systems to optimize traffic flow.
Thanks to Machine Learning and Computer Vision we are able to analyze pedestrian occupancy and obtain data related to the usage of the street network and its patterns.
Constant monitoring is essential work to determine if the city and its infrastructure are well preserved. With Machine Learning techniques we are able to create more resilient smart cities.
Collection and analysis of meteorological information to accurately predict and proactively adapt spatial planning decisions, ensuring optimal efficiency and resilience in various environments.