SmartGuard
Develop AI  ·  Kango Technology

The cameras are already there. The intelligence isn't.

SmartGuard turns Namibia's existing CCTV into an active intelligence network — faces, plates, vehicles, places and times, joined into patterns a control room cannot watch for all day.

200cameras in phase one
0new cameras required
0foreign cloud AI services required
12months, run and supported

What SmartGuard is

A complete AI intelligence system that plugs into the CCTV you already have

You bring the cameras. We bring the intelligence. The system suggests — a person always decides.

01

Structured events

Live feeds become records: faces, plates, places and times.

02

Connected events

Events about the same vehicle, person or place are linked.

03

Visible patterns

The behaviour a human operator cannot watch for all day.

The problem

Cameras record everything and prevent almost nothing

Control rooms already hold camera events, incident reports, patrol observations and community reports. They sit in separate systems, and nothing joins them up.

  • Reactive by design. Footage is reviewed after a crime, not used to stop one.
  • Operator overload. Nobody watches dozens of live feeds without missing incidents.
  • Crime in seconds. Snatch-and-grabs happen faster than an operator can react.
  • Vehicle-based crime. Cloned and stolen plates make vehicles hard to identify.
Today

Three records. One pattern. Missed.

A partial plate on a control-room feed on Monday. A white bakkie named in a statement on Wednesday. The same vehicle two streets away on Friday. Nothing joins them, so nobody sees it.

How it looks in practice

One vehicle, three records, one thread

Mon · Camera

Partial plate N 4••8 W read on a control-room feed.

Wed · Report

An incident statement names a white bakkie — same first two characters.

Fri · Patrol

The same vehicle logged two streets from the first sighting.

82%
Surfaced as one thread, with a timeline and a map.
Supporting and contradicting evidence attached. An investigator confirms or rejects it — and the rejection is recorded too.

The AI stack

What the analysis actually does

Deep computer vision

Detects people, vehicles and objects in live video.

Facial recognition

Matches faces against a controlled watchlist in real time.

Vehicle AI

Reads plates and their colour; describes each vehicle's colour and body, and make and model where the badge can be seen; checks the plate is on the right vehicle and in a plausible place, for an officer to run against the registry.

Entity resolution

Links faces, plates, text and locations to one entity.

Spatio-temporal analytics

Finds patterns across time and place that humans miss.

Explainable AI

Every result carries a confidence score and its evidence trail.

Behaviour intelligence

Unusual behaviour the system detects on its own

Perimeter breaches

Someone crossing a boundary that should not be crossed.

Loitering near vehicles

A person lingering around parked cars without leaving.

Crowd panic

Sudden dispersal or agitation in a public space.

Running against the flow

Movement counter to everyone else around it.

Abandoned objects

A bag or package left behind and unattended.

After-hours activity

Movement in restricted areas outside operating hours.

Fits any camera you own

Attach it to any camera in the airport, or any camera in the city

If it produces a video feed, SmartGuard reads it — and returns a full AI analysis of what that feed is seeing. Mixed, ageing and multi-vendor estates included.

Data sovereignty

Designed to run inside the country

Vantage is built for on-premise deployment on infrastructure the authority controls. It runs its models locally rather than calling a foreign cloud — and in sovereign mode the cloud AI libraries are blocked from loading at all, so that is a property of the build rather than a promise about a data centre.

Where a given deployment physically sits is a decision taken with the authority at contract, and it is the authority's to make. We will tell you where it is.

No foreign cloud AI Local models by default Built for on-premise

Built around the officer

AI that gives the officer time back

Instead of waiting for a victim to come forward and then reviewing hours of footage, operators are alerted as it happens.

Hours back

No more cross-referencing files by hand. The connections arrive ready to review.

See it, don't dig for it

A timeline and a map make the pattern obvious instead of burying it across systems.

Evidence to stand on

Every conclusion carries its trail — auditable, traceable and reviewable.

Mobile

Every officer's phone becomes a scanner

Point a phone at a person or a vehicle, like scanning a barcode at a till, and see straight away whether it needs attention. Phones act as extra cameras and field terminals, with no fixed camera required.

Engineered to scale

One camera to a national picture

  • At the camera — on-site AI processes feeds locally, in real time
  • Per location — each station aggregates its cameras and phones
  • Multi-site — dozens of sites roll up into one regional view
  • Unified layer — one intelligence picture across the network

Secure and auditable

Controls that hold up under scrutiny

The pilot

200 cameras, fully supported, twelve months

We fit SmartGuard to 200 of your existing cameras — chosen with you across the airport, border posts and priority urban zones — and prove the intelligence before anything scales.

  • Configured to your own records, cameras and control rooms
  • No new hardware, no replacement of the VMS you already run
  • Nothing replaced, and no workflow changes asked of officers
  • Training at every level, and reporting throughout
Judged on

Three measures, agreed up front

Connections found that would otherwise have been missed. Investigation time saved. False links correctly rejected by officers.

We measure the rejections too. A system that is never wrong in its own records is a system nobody is checking.

Respecting the social fabric

The Marura tree keeps us safe

In our villages, women gather under the Marura tree to make Omaongo. The gathering is where information is shared and where community bonds are formed. Technology must enhance these human connections, never replace them.

Who we are

Develop AI & Kango Technology

Develop AI — practical, accountable AI for safety and information work, delivered across Namibia, South Africa, Zambia, Tanzania, Kenya and Zimbabwe.

Kango Technology — Namibian, reading the country's social and security realities first, so what gets built fits the places it serves.

Engineered from day one around oversight, evidence and data protection — not retrofitted afterwards.

Next steps

Your cameras, our intelligence, under Namibian control

Agree the 200 cameras for phase one. Confirm the hosting site and the access roles for each authority. Set the review date and the three measures it will be judged on.