Ericsson is showing how network slicing is done in Taiwan using a new smart patrol car use case that taps into the capabilities of Far EasTone’s 5G standalone network.

In a live 5G standalone (SA) network, the deployment employs AI and Ericsson’s end-to-end 5G network slicing technology, including 5G core and RAN slicing via Dynamic Radio Resource partitioning. It is a “pioneering use case” that exhibits improved 5G for mission-critical applications in the public sector, according to Ericsson.

One of the missives calls for license plate identification for stolen vehicles. Patrol cars outfitted with the app and high-resolution photography gear utilize AI image analysis technology to identify stolen automobiles.

The data from moving patrol cars can be transmitted in real-time, allowing for the immediate recognition of these license plates. The police then can take action based on the information provided, according to Ericsson’s press release.

Ericsson HQ
Ericsson worked with Far EasTone to develop a smart patrol car use case that taps network slicing capabilities on a 5G standalone network.

Aside from slicing capabilities, the smart patrol car project employs the Ericsson Local Packet Gateway, an edge user plane with a small footprint, to connect each equipped car to a regional site for data processing without the need to put a system on each and every vehicle.

The solution was turned over to the Kaohsiung City Police Department by the end of 2022 by its developers.

patrol car network slicing
The project was created for the Kaohsiung City Police Department in Taiwan.

The solution will also be used to detect crimes in crowded public places, such as concerts and football games, where network slicing will allow high-resolution real-time images to be transmitted from police patrol cars to the central command center, ensuring timely situational awareness and emergency response.