See risks quicker. Respond with better information.
Bring CCTV, sensors and AI-assisted analysis together to help your teams identify potential risks earlier, focus attention where it matters and respond with better information.
THE PUBLIC SAFETY CHALLENGE
Keeping people safe across town centres, transport hubs, housing, shopping destinations and large venues means monitoring more spaces, systems and data than any one team can realistically watch continuously.
Many organisations already have CCTV, sensors and access systems in place. The challenge is bringing that information together quickly enough to spot what needs attention and give your operators the context to respond.
Digital Public Safety helps turn those existing data sources into something more useful, using AI-assisted analysis to surface activity that may need attention while keeping people responsible for the decisions that follow.
Estimated annual cost of crime against UK businesses and individuals.
Annual cost of responding to anti-social behaviour.
Of people perceive high levels of anti-social behaviour locally.
Of people perceive high levels of anti-social behaviour locally.
THREE OUTCOMES. ONE CONNECTED APPROACH.
Digital Public Safety helps you turn camera, sensor and environmental data into clearer, more actionable information. By bringing those sources together, you can focus attention on the risks, behaviours and locations that matter most to your organisation.
That can help you improve safety, reduce anti-social behaviour and better protect the places and assets you are responsible for.

Bring camera, sensor and environmental information together to help identify risks sooner and give operators clearer information to act on.
Connect existing and new camera systems
Integrate smart cameras and supported sensors
Bring additional data sources in through APIs
Use AI-assisted analysis to surface potential risks

Combine video, noise and other sensor data to help identify patterns and potential incidents earlier.
Combine camera and noise-monitoring data
Analyse patterns across people, places and activity
Surface potential anti-social behaviour sooner
Support evidence gathering and follow-up

Monitor restricted areas, assets and access points to help identify activity that could put property or infrastructure at risk.
Analyse activity by time, zone and object
Identify potential theft, trespass and vandalism
Connect with sensors, door entry and access control
Create real-time alerts to support faster action

THE PLATFORM BEHIND THE INSIGHT
Purple Transform’s SiYtE platform can bring information from cameras, sensors and other supported systems into one operational view.
It uses AI and defined rule flows to identify activity that may need attention, then surfaces that information for human operators to review. That means your teams can spend less time watching every feed and more time focusing on the incidents, behaviours or conditions that may actually require action.
SiYtE can work with existing camera systems, integrate supported sensors and other data sources through APIs, and generate actionable alerts in real time.
AI helps surface what matters. Your people stay responsible for understanding the context and deciding what happens next.
FROM EXISTING DATA TO BETTER-INFORMED ACTION
SiYtE can be configured around the specific risks, locations and behaviours you want greater visibility of, rather than treating every camera, sensor or site in the same way.
That means the platform can focus on the events that matter most to your teams, from trespass or anti-social behaviour to crowding, access issues or other operational concerns.
Once those priorities are defined, the process is about connecting the right data, analysing it against agreed rules and surfacing relevant information for human operators to review and act on.

01
Bring cameras, sensors, access systems and supported data sources together.
02
Set the zones, behaviours, objects or conditions your teams need greater visibility of.
03
Use AI and rule-based workflows to identify activity that may need attention.
04
Surface relevant information for human operators to review and respond to.
05
Refine the setup, rules and add use cases as priorities and patterns change.
BUILT AROUND THE ENVIRONMENT
What you need to see depends on the place you are responsible for.
For a council, that may be repeated anti-social behaviour in a town centre. A transport operator may be focused on theft or trespass. A stadium may need better visibility of queues, restricted areas and crowding, while a shopping destination may want to combine safety monitoring with people flow and visitor experience.

Support teams around anti-social behaviour, vandalism, communal areas, access points and wider public-space safety.

Identify potential theft, trespass, restricted-area activity, passenger flow and other risks across busy or protected environments.

Support crowd flow, queues, restricted areas, access routes and wider safety across busy, high-footfall environments, helping teams respond more effectively.

Combine security with people flow, queue depth, lift usage and environmental information to support both safety and visitor experience.

use case: reading train station
The problem
Reading Train Station was experiencing persistent bicycle theft and anti-social behaviour, creating an ongoing safety and security challenge.
The solution
dbfb and Purple Transform connected AI-powered monitoring to the station’s existing camera estate, helping operators identify relevant activity sooner without replacing the wider CCTV infrastructure.
The result
Over a four-month project, the supplied case study reports a 72% reduction in bicycle theft and 13 convictions.
Results
72% reduction
In bicycle theft during the initial four-month Digital Public Safety project.
13 convictions
Secured as part of the Reading Train Station project outcomes
4 months
From deployment to measurable results across the initial project period.
WHY DBFB
Digital Public Safety depends on more than the analytics platform. Cameras need connectivity, sensors need a reliable route back to the service and new use cases may introduce additional networking, IoT or infrastructure requirements.
Working with dbfb and Purple Transform gives you one route from defining and piloting the use case through to installation, connectivity, support and future expansion. The supplied proposal places dbfb around installation, maintenance and network configuration alongside Purple Transform’s platform services.
01
Connect existing cameras and supported systems where practical before replacing infrastructure unnecessarily.
02
Combine video with environmental, noise, access and other connected sensor information.
03
Support cameras, sensors and cloud services with the network infrastructure they need.
04
Add cameras, sensors, locations and new use cases once the value has been demonstrated.
quick answers
Digital Public Safety combines cameras, sensors, AI-assisted analysis and connected platforms to help teams identify potential safety and operational issues sooner.
SiYtE is Purple Transform’s AI-powered platform. It can bring camera and sensor information together, apply analysis and rules and surface relevant events for human operators to review
Not necessarily. The platform is designed to integrate with existing camera systems as well as supported new technology
Yes. Supported use cases can combine CCTV with noise, environmental, access and other sensor data.
No. AI helps surface potential events and useful information for human operators to review and act on.
No. It can also support transport hubs, housing providers, shopping destinations, campuses, stadiums, arenas and other organisations responsible for busy public-facing environments.
Yes. A focused pilot can test a defined use case before the service is expanded more widely.
START WITH THE USE CASE
Start with the safety or operational challenge you want to improve. We can review the environment and existing infrastructure, then identify where Digital Public Safety could make a practical difference.