Cities use the IoT to collect real-time data to better understand how demand patterns are changing and respond with faster and less expensive solutions. With a 5G connection, cities will be able to gain knowledge at every social iteration and protect their data lakes from external access. From sensors, street furniture, and user equipment, cities are constantly producing data which requires connecting the sources and storing their data. As more knowledge is gained and more data is collected, there is an increasing need to process and secure data analysis mechanisms and exchange between geographically distributed places.

The NebulOuS goal is to give connectivity, edge analytics, and interoperability to these cities, giving them the capacity to evolve. By pairing the NebulOuS platform with Computer Vision technologies, algorithms can be deployed on multiple levels of the edge-cloud-continuum to process the available data in order to verify the information and identify possible damages to improve maintenance actions.

Operation & Deployment of Use Case: Besides wireless connection, the pilot case will validate the 5G technology for efficient smart-city maintenance, combining IoT data collection sensors integration and edge processing. Through the data collection, analysis, and creation of actionable insights in real-time, directly from the edge devices, different applications can be targeted. Finally, end-user devices, such as CCTV cameras, user equipment, and IoT devices, will connect to the small cell via 5G NR. The pilot case will develop Computer Vision software to detect different damages in public buildings and other public infrastructures.

Main Partner Supporting the Use Case:

UW (Portugal, SME): providing the edge infrastructure required to ensure that Computer Vision software will process over the 5G network. Also, UW will bring its expertise in Edge Computing and high QoS in Telco environments to implement resources (incl. compute and storage) for Network Applications that overcome the challenge of sending massive amount of data directly to the cloud, processing the data near the embedded gadgets.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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