01 / 03Existing estate
Inventory what already carries operational value.
Separate cameras, streams, metadata, retention rules, and VMS workflows that can remain from the boundaries that need a new edge path.
AI NVR Modernization
Add edge intelligence to an existing video estate.
Define how SDI, HDMI, IP, or mixed camera sources feed edge inference, recording, event workflows, and the systems your operators already use.
Explore the system path
System operating context
Designed for
- VMS and analytics ISVs
- Security and surveillance SIs
- Smart-city and transport integrators
Modernization without guesswork
Keep the useful video path. Redesign the parts that need AI.
An AI NVR project must reconcile source formats, bandwidth, retention, inference, alerting, VMS ownership, and remote operations before hardware selection is credible.
- 01
Existing sources are not uniform
A site may combine SDI, HDMI, IP, encoded streams, metadata, and different camera generations in one operating environment.
- 02
Inference changes the data path
Decode, frame selection, model execution, event metadata, recording, and upstream bandwidth need a shared capacity plan.
- 03
Operational ownership matters
The architecture must identify whether the NVR, VMS, analytics service, or site team owns alerts, video, retention, and recovery.
Architecture review
Map ingest, inference, evidence, and operations together.
The architecture review starts with the current video estate, then defines a supported edge processing and integration boundary.
AI NVR Modernization
Active stage 01
Ingest
SDI, HDMI, IP, USB, codec, and source inventory
Evidence before performance claims.
Performance is configuration-specific. The review defines the target, test configuration, and evidence needed before latency, frame integrity, stream density, power, or thermal results are treated as claims.
Follow the operating path
See where source reality becomes a production decision.
01 / 03
02 / 03Edge insertion
Give inference a defined place in the video path.
Decode, frame routing, model execution, event metadata, recording, and upstream bandwidth become one capacity and responsibility plan.
Modernize the video path without losing its context.
Existing cameras, recording, evidence, and operator workflows still matter. See how the modernization boundary begins with the estate already in service.
03 / 03Operator workflow
Return useful evidence to the systems people already operate.
Map alerts, clips, search, retention, device health, and recovery to the VMS, NVR, analytics service, and site team.
Decide how much of the current estate should change.
The useful modernization pattern depends on the source inventory and operating contract. Each option still requires configuration-specific validation.
01
Preserve and bridge
- Fits when
- Most cameras and the VMS remain useful, while selected streams need edge analytics.
- Review first
- Supported source access, decode path, event API, clip handoff, and recovery behavior.
- Evidence to collect
- Compatibility and operating-state tests with the existing VMS and representative sources.
02
Hybrid edge node
- Fits when
- A site combines baseband, encoded, and network sources with different retention needs.
- Review first
- Source mix, routing, recording ownership, storage boundary, bandwidth, and site topology.
- Evidence to collect
- A site-profile proof of concept covering ingest, analytics, recording, and alerts.
03
New AI NVR path
- Fits when
- The current recorder cannot support the required integration or production boundary.
- Review first
- Target workflows, source profiles, storage plan, remote operation, service, and lifecycle.
- Evidence to collect
- A complete target configuration benchmark and operator acceptance plan.
Architecture review
Turn what you know into a testable system brief.
Bring to the review
Start with the constraints you already know.
- Camera and source inventory by site
- Codec, resolution, frame rate, and bitrate profiles
- Analytics workload and event output
- Recording and retention requirements
- VMS, API, alert, and operator workflow
- Site topology, bandwidth, and remote operations
Review output
Leave with a clearer evaluation path.
- Current-to-target video architecture
- Edge compute and software integration boundary
- Capacity and benchmark questions by site profile
- A scoped proof-of-concept path
Related YUAN capabilities
Continue with product and software evidence.
Evaluation questions
Separate current decisions from the items that still require testing.
Does modernization require replacing every camera?
Not necessarily. The review inventories the existing sources and identifies which paths can be retained, bridged, or replaced based on supported interfaces and project requirements.
Can YUAN promise a maximum channel count?
A channel count requires a defined codec, resolution, frame rate, analytics graph, recording load, platform, and thermal configuration. It should be validated in that context.
Where does the VMS fit?
The review maps VMS ownership for live video, events, clips, retention, search, and device health so the edge appliance has a clear integration contract.
Prepare the technical brief
Ask the YUAN hardware expert which inputs and constraints belong in your review.
Other design-in paths
Review another system pattern.
YUAN USA design-in
Bring us the architecture before the component list is fixed.
Share the video sources, software workload, physical constraints, project stage, and production intent. The YUAN USA team will route the review to the relevant product and integration specialists.