ARED Intelligent Cameras

Keep compatible IP cameras. Add local storage and intelligence.

Turn compatible camera deployments into a managed local video and intelligence layer — processing selected workloads closer to the cameras and synchronizing only what the use case requires.

Compatible cameras Reuse where validated
Local-first Storage and selected analytics
Assessment required Capacity depends on deployment
ARED intelligent camera infrastructure with local video storage and edge analytics
The Problem

Cameras often become another fragmented infrastructure stack.

Recording, storage, analytics and remote access may sit across separate systems. Cloud-heavy designs can also move more video off-site than the customer actually needs.

01

Passive recording

Many camera systems capture footage but provide limited operational intelligence.

02

Separate storage and AI

NVR, analytics and management can become separate boxes and support paths.

03

Unnecessary data movement

Sending every stream continuously off-site can increase bandwidth and centralized processing requirements.

What Changes With ARED

Simplify. Keep operating. Expand.

The technology stays behind the customer outcome.

Simplify

One managed local video layer

Use the ARED edge platform for compatible local storage, selected analytics and remote platform operations instead of adding another independent compute layer.

Keep operating

Process selected work locally

Recording and selected analytics can run near the cameras, subject to deployment design, power, storage and application requirements.

Expand

Add intelligence after validation

Start with the required camera workflow, then add compatible analytics or integrations as capacity and business value are proven.

How It Works

Keep the right work local. Synchronize what needs to be centralized.

ARED is hybrid by design. Local-first does not mean cloud-free.

Input / environment

Compatible IP cameras

Existing or planned camera streams are assessed for protocol, codec, resolution, bitrate and interface compatibility.

At the location

ARED Edge Gateway

Can ingest compatible streams, provide local storage and run selected edge analytics where the gateway profile supports them.

When needed

Central / cloud systems

Send alerts, metadata, selected clips, reporting or backups when the deployment requires them.

Camera Capabilities

Local video infrastructure with selected intelligence.

Camera model, stream compatibility, storage retention and AI capacity must be assessed before production deployment.

01

Local Video Storage

Store compatible camera footage locally according to validated storage and retention requirements.

02

Supported Camera Integration

Connect compatible IP camera streams without assuming every camera model or codec is supported.

03

Selected Edge Analytics

Run approved local analytics where gateway capacity and model compatibility have been verified.

04

Alerts & Metadata

Send selected events, metadata or alerts instead of moving every raw frame continuously.

05

Remote Monitoring

Monitor the managed edge platform and supported camera-service health remotely.

06

Selective Synchronization

Synchronize selected clips, events, backups or reporting data when required.

One Expandable Platform

Start with one need. Add more supported services later.

ARED is designed so the installed edge layer can support additional services over time, subject to gateway capacity, compatibility and deployment design.

1
Start

Validate camera compatibility, storage requirements and one clear customer outcome.

2
Add

Introduce selected alerts or analytics only after the base video path is stable.

3
Expand

Add more sites or approved intelligence as storage, compute and network requirements are proven.

Best Fit

Where this solution makes sense.

01

Retail & Hospitality

Use existing compatible cameras for local storage and selected operational intelligence.

02

Offices & Buildings

Add a managed edge layer to compatible security and smart-building deployments.

03

Warehouses & Venues

Process selected video workloads locally and centralize only what is needed.

04

Institutions

Use a controlled local-first architecture where video, data and operations require clear governance.

Clear Scope

What ARED manages — and what may remain separate.

ARED Managed Layer

  • ARED managed edge platform
  • Local storage when included in the selected design
  • Supported camera integration layer
  • Selected edge analytics where validated
  • Remote platform management and updates
  • Technical escalation for the ARED layer

May Be Separate

  • IP cameras and camera power infrastructure
  • Cabling, switches and specialist installation work
  • Additional storage if required by retention policy
  • Licensing for third-party camera software where applicable
  • Internet or WAN service
  • Any camera replacement required for compatibility
Readiness Before Rollout

Compatibility and capacity come before marketing claims.

Camera projects should be sized from real camera models, resolution, codec, bitrate, retention, evidence requirements and the AI workload selected.

Camera readiness assessment

The assessment verifies the current camera environment, required storage, local-processing needs and what must synchronize centrally. This prevents unsupported claims about camera counts, storage savings or AI performance.

Commercial Model

Pricing is based on the actual camera deployment.

Camera pricing depends on the number and type of streams, storage retention, selected analytics, gateway profile, installation and support requirements. We do not publish a universal camera price before the readiness assessment.

Request an Assessment

Your cameras already create data. Decide what should happen locally.

Start with a camera readiness assessment and one clear operational or security outcome.

ARED deploys directly in Rwanda. Outside Rwanda, deployments are partner-led. See the Partner Program.
Book a Camera Assessment
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