By analysing the behaviour and location of assets and users we can unleash the great potential for optimising the performance of a building, i.e. its adaptation to work habits and safety management.
Our goal in this project was to contribute iteratively to the design and validation of an intelligent system for the optimization of space management. Focusing on three key aspects: energy efficiency, asset monitoring, and improvements in perceived quality and user comfort, we are leading the integration of an MVP In a real environment
Fog Computing, Machine Learning. Computer Vision, Real-Time Services
Smart Cities, Smart Buildings, Smart Facilities Management