Urban video
Connect the places the team needs to see
Private networks carry city-centre CCTV and traffic-monitoring feeds into operational applications, supporting a shared view of busy locations.
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Private networks / Smart Cities
Private 5G for smart cities.
Turn street-level observations into useful action.
Connect the observations that help a city’s operational teams do their work. Private 5G links selected cameras, sensors and inspection devices to applications serving a defined area.
Bring an infrastructure finding, a blocked service route or a local sensor event to the people responsible for reviewing it and completing the task.
Private 5G in practice
Connect the work. Improve the operation.
Site sensors
Turn local readings into usable information
Environmental sensors send data across connected operational areas, helping estate teams track conditions and identify where attention is needed.
Connected trials
Test devices in a working environment
A private research network gives teams a place to trial connected devices and applications before choosing how they fit the wider estate.
The operational connection
Turn street-level observations into useful action.
City operations bring together teams with different responsibilities and different systems. A useful observation needs an owner, a location and a route into the work-order process before it becomes an improvement on the ground.
A private network can support a defined district or site project, connecting selected operational devices. Edge AI processes agreed camera or sensor inputs near the source, so a reviewed event can reach the right team without moving every raw feed elsewhere.
Practical smart cities use cases
Connect the task to the people who act on it.
01
Bring an inspection robot’s finding into the works queue
A small inspection robot follows an approved route through a service tunnel or municipal infrastructure site. It captures images and tags observations with the route position. A local edge AI application highlights a visible change, and private 5G carries the evidence to the asset-management team.
An engineer reviews the finding, assigns a closer inspection and attaches the result to the asset record. Repeating the route gives the team comparable observations over time. The robot gathers the data within the controlled working area, while the engineering team owns the maintenance decision.
The opportunity: more consistent infrastructure records and better-targeted follow-up visits.
02
Spot a blocked loading area without watching every feed
A camera covering an agreed loading area sends images to an edge AI application that flags an obstruction or prolonged stop. The private network carries a short clip and location to the operations team. A reviewer checks the event and decides which service team should handle it.
The task and response are recorded in the normal work system, making repeated problems easier to examine when planning the area. Analytics focuses on the defined operational event rather than identifying people. The useful output is a reviewed task that somebody can complete.
The opportunity: earlier awareness of service-area problems and a clearer record of recurring issues.
03
Connect a sensor alert to a field team’s visit
A compatible environmental sensor gateway sends a changed reading to the local monitoring application. Private 5G carries the update to the team’s dashboard with the device and location reference. The supervisor checks the trend and assigns a site visit when appropriate.
The field worker opens the task on a handset, records observations and attaches completion photographs. The original sensor event and the human findings stay together. The next team can see whether the issue was resolved, still requires work or needs a different explanation.
The opportunity: fewer disconnected alerts and better evidence of completed field work.
Robotics and edge AI
From an observation to a useful decision.
Bring an inspection robot’s finding into the works queue. The robot gathers observations or completes its assigned movement; the private network carries the agreed data. Edge AI means processing selected images or sensor readings on local computing infrastructure.
Choose what the application should identify and who receives the result. A reviewed finding can become a work order, a confirmed handover or a record for the next shift, with the supporting evidence kept alongside it.
Explore private AI → Private compute → Managed open-source applications →
Built around the operation
Plan the complete connection.
- 01 / DevicesRobots, cameras, gateways and staff handsets
- 02 / Working areasAgreed routes, buildings and operational zones
- 03 / Private networkRadio coverage, device access and traffic priorities
- 04 / ApplicationsLocal edge AI and the systems used by your team
Design for the site
Define a bounded operational area and the assets that can host equipment. Power, backhaul, street furniture, access permissions and maintenance arrangements shape the network footprint.
Connect to the existing workflow
Agree the purpose and handling of each sensor or camera feed. Local processing, retention limits and authorised review should follow the operational task and the organisation’s requirements.
Planning & costs
We help turn the opportunity into a working solution.
We assess your estate, devices and applications, then design connectivity around the work you want to improve. We help build a business case around the opportunity, deployment costs and ongoing support.
We handle the technical assessment and help connect the investment to useful results. The first conversation starts with what you want to achieve.
One area or the whole estate.
Start with a focused deployment and expand, or move ahead with a full programme. We shape delivery around your priorities and readiness, and coordinate installation with your operation.
Talk to our teamPlanning questions
Private 5G for smart cities: your questions.
Is this a city-wide public mobile network?
The draft service concerns a defined private operational network. Public mobile coverage and city-wide services require their own scope and delivery arrangements.
Can existing devices and applications connect?
Compatible cellular devices connect directly; suitable gateways can link other equipment. We check the exact device models, interfaces and application requirements before choosing the design.
Where does edge AI run?
Selected analytics can run on local servers, with access and storage designed around the workflow. The application identifies agreed events; staff review the result and retain responsibility for the operational response.
What is needed to scope the project?
A site plan, the chosen task, device details and the applications involved provide a useful start. We then assess coverage, integration, installation and ongoing support for a defined proposal.
Read the private 5G cost guide →Your operation, connected
Which task should work better?
Show us the working area, the equipment and the point where information stops flowing. We’ll help turn it into a practical first project.
Website information and service conditions
Coverage and performance are designed around your site, devices and applications. We set out the agreed service and delivery scope in your proposal.
Use cases illustrate how the service can support an operation. Project specifications and commercial terms are confirmed in the agreed proposal and contract.