Using urban cameras to promptly identify risks for people and properties is undoubtedly important, but privacy is alway key, especially in places like cities and residential areas. This is why our analytics are designed to run on the edge (i.e. as close as possible to the cameras, better if on the cameras themselves) thus making it unnecessary to transfer images to remote servers. The processed images are also anonymized at the source, by blurring faces and license plates in pictures and videos used as visual support to control rooms.

Climate change and increasing urbanization put cities before unprecedented challenges for ensuring people safety, that is no more a matter of traffic monitoring, anti-vandalism or intrusion detection. People and the municipalities must be ready also for hazards related to local weather, like heavy rains and urban flooding, while keeping asset inventory always up-to-date to efficiently plan maintenance operations and increase urban resilience.