Applications

Applications included but not limited to:

Equipment and public works.

A sustainable development.

Quality of life and active citizen participation.

Greater efficiency of available resources.

The energy supply.

Happy cities

CO2 emissions.

Planning of automobile traffic.

The provision of health and security services to all who reside in these huge and overcrowded population centers.

…

Solutions/Outputs

It is important in XXI century cities to have a dynamic and complex system that enables the benefits of technology to be offered to an increasing number of people. The objective of implementing these technological factors in smart cities is not only to automate routine functions, such as optimizing the use of space, buildings or traffic management systems, but also to allow traditional infrastructures to integrate and coordinate using new technology’s digital systems to become ultra-connected systems with which to access information, products and services in real time.

Kopernica is able to manage big data collected from those factors and also from artificial vision in the connected city areas.

 

Smart sensors have the function of collecting all the necessary data to make the city a Smart City. They are a fundamental part of keeping the city connected and informed, and making each subsystem fulfill its function. One of the goals is to have happy cities.

Happy cities.

Improving of citizen’s wellbeing and mood in their interaction and everyday life in different public city spaces. Making better environments to live.

The cameras and microphones collect emotional and anonymous data of citizens, it analyzes the data and supplies reports with solutions based in a deep learning model. Kopernica can measure in real time the citizen’s moods:

  • Emotional intensity.
  • Anxiety.
  • Negative-positive emotional tendency.
  • Stress levels.
  • Joy – happiness.
  • Emotional tension.
  • Non-regular behaviors.

    Mobility

    Application of deep learning models to promote mobility and positive interaction of citizens in public spaces.

    Considering variables such as flows, densities, climate, emotions, behaviors, etc. Data collection is based in artificial vision with public cameras and other sources from cities’ data centers, traffic, security, etc. It can bring a service of showing the conditions of the different routes, and feeding and improving the information on the different routes to the same destination, distance, estimated time of arrival.

    Reduction CO2 of emissions

    Part of the objective of promoting mobility and the flows of people, transport and traffic is efficiency and therefore the reduction of carbon emissions. Kopernica can also provide advanced mobility efficiency calculation models (see carbon footprint section).