Mobility is one of the main concerns of cities striving to become smarter and more sustainable. Traffic congestion, pollution and providing a safe environment from COVID-19 raise serious concerns, especially in large cities.

The solution offers:

• Traveller safety: Real-time search for weapons among travellers with image capture and immediate warning.
• Detection of vehicles, animals or people using the cameras already installed.
• Ability to derive insights and value from bus, infrastructure and operations data. It means automatically collecting and transmitting vehicle data, providing the operator with an upto- date view of the fleet.
• Social distancing: This solution faces the challenge of collecting insights from the cameras already available throughout the city using artificial intelligence, for more intelligent management and communication between the local government and citizens.
• Compiling insights through cameras is a challenge that requires the generation of algorithms and the training of specialised artificial intelligence models. In one of their success stories, while respecting anonymity, they monitor the number of people inside the buses to inform of the bus capacity at the next stop.
• As a result of the implementation, the city will have real-time information and predictions of the proposed indicators.
• The information will be visible through the information display system integrated with other data sources and accessible through open data portals.
• The ultimate goal of mobility in smart cities is safety and quality of life.