Switch guide

How to switch from Wisenet WAVE to Spot AI and keep every Wisenet camera

The trigger moments that start this conversation, what changes on day one and a four-phase plan that keeps every site recording throughout. Written for teams whose Wisenet cameras are staying exactly where they are and whose question is about the software behind them.

Updated August 14, 2026
8 min read
By Joshua Foster, IT Systems Engineer
Switch from Wisenet WAVE to Spot AI: The trigger moments that start this conversation, what changes on day one and a four-phase plan that keeps every site recording throughout
What you keep
Your Wisenet cameras
Hanwha cameras are supported hardware, not a problem to solve. They stay on the wall, on the same mounts and the same network paths.
What you keep
Your analog feeds
Analog that reaches WAVE today through an encoder or a recorder comes into the Intelligent Video Recorder instead. Still no coax pulled.
What changes
Where the detections come from
Pre-trained agents reading every camera the same way, rather than metadata each device or plugin supplies.
What changes
How licensing behaves as you grow
A per-camera subscription covering the software and the IVR, instead of recording licenses pinned to a server's hardware ID.
Where a detection comes from, before and after

Wisenet cameras are supported hardware for a camera-agnostic platform, so a switch here changes the layer that reads them rather than the fleet itself. Both rows describe what each vendor publishes.

Two ways in, and neither replaces a camera
Wisenet IP cameras
ONVIF or RTSP, as they are
Same mounts, same cabling, same fields of view
Legacy analog
Straight into the IVR
The feeds an encoder or a recorder digitizes today, with no coax pulled
Before: the server files what the devices report
The WAVE server records
On site, on your own hardware
One recording license per camera, locked to that machine's hardware ID
The metadata arrives
From the camera or a plugin
Analytics Object Detected is documented for analytics that supply object detection metadata
On site at 03:00
Event rules and notifications
Two-way audio and PTZ are in the client; autonomous deterrence tied to a detection is not publicly specified
After: the building keeps the video and the agents read every camera
The IVR records
Full resolution, on site
Only event metadata leaves the building
The agents watch
Security, safety and operations
15+ pre-trained agents plus Iris for a detection specific to your process
On site at 03:00
Talk down, strobes, horns
Through standard speakers already mounted, with nobody needing to read a notification first
Wisenet WAVE details read off wavevms.com and Hanwha Vision's support portal on August 14, 2026. Hanwha is a compatibility partner rather than a rival: Spot AI runs on its cameras, and this page changes only the software behind them.

When it makes sense to switch

Four moments when teams running Hanwha's video management system start this conversation. If none of them are true, staying put is a reasonable answer.

Somebody quoted new cameras in order to add AI

Worth killing early, because it is the most expensive version of this project. Wisenet cameras are supported hardware for a camera-agnostic platform: any ONVIF or RTSP IP camera connects as it is, and legacy analog comes in through the Intelligent Video Recorder. Hanwha builds its cameras to feed platforms other than its own, which is why keeping them and changing the layer above is a supported path rather than a workaround.

The detection catalog is set by the devices, not the software

Hanwha documents an Analytics Object Detected event meant for video analytics that supply object detection metadata, and WAVE stores and searches that metadata well. What follows from that architecture is worth checking before any renewal: walk each site and write down what its cameras actually detect today. If the sites commissioned last year answer questions the older sites cannot, the gap sits in the devices rather than in a setting somebody forgot.

A server refresh or a site consolidation is scheduled

Hanwha publishes this plainly. A Professional License does not expire and it is locked to the hardware ID of the computing device it is installed on, and one recording license is needed per camera. That is a clean model, and it makes every server refresh a licensing exercise as well as an IT one. A refresh already on the schedule is the cheapest moment to compare platforms, because the decision is open anyway.

Operations and safety want the same cameras

The Wisenet catalog and the plugin ecosystem around WAVE are aimed at security detection, and that is a good scope. If a plant now wants dock dwell, PPE or SOP adherence from views it already has, that is a second catalog and usually a second vendor unless the layer above the cameras already ships it. Price that as its own question rather than folding it into a VMS decision.

Wisenet WAVE and Spot AI side by side

The structural differences that decide whether a switch is worth starting.

Criterion
Spot AI
Wisenet WAVE
Camera model
Camera agnosticAny ONVIF or RTSP IP camera, plus legacy analog through the IVR
ONVIF devices are discovered automatically, and Hanwha documents that a camera not fully compatible with ONVIF can instead be added by its RTSP, HTTP or UDP multicast stream URL, which is also the documented route for third-party legacy IP cameras, DVRs and NVRs
Where full-resolution video lives
On siteOn the Intelligent Video Recorder; only event metadata leaves the building
On the Wisenet WAVE server or a Hanwha recorder on site, with WAVE Sync published as the way to log in from anywhere and share access to the system
Cloud dependency
Full-resolution recording runs on the local IVR, with search and multi-site management in the cloud
Server based on your own hardware or a Hanwha recorder, with desktop clients for Windows, MacOS and Ubuntu Linux, mobile apps for Android and iOS, a server web admin and WAVE Sync for browser access
Pre-trained agents
15+Security, safety and operations, from register theft to forklift near-miss
Not a WAVE feature by design: its Analytics Object Detected event is documented as meant for video analytics that supply object detection metadata, so the detections arrive from the camera or a plugin and WAVE files and searches what they produce
Building a custom detection
About 8 minIris, in natural conversation
Through the analytics plugin and integration route Hanwha documents, so a detection nobody ships arrives as an integration project with its own scope and timeline. A custom-detection builder inside the client is not publicly specified
Active deterrence
AI Talk Down, strobes and horns through standard speakers already on site
Two-way audio and PTZ are documented as camera controls in the client, and event rules drive notifications. Autonomous on-site deterrence tied to a detection is not publicly specified
Commercial model
Per-camera subscription covering the software and the IVR
One recording license per camera, with Professional licenses sold in 1, 4, 8, 16, 24 and 48 channel counts that do not expire and are locked to the hardware ID of the machine, plus separate I/O module, video wall and embedded recorder licenses
Bridging hardware for existing cameras
None: the Intelligent Video Recorder connects to the existing camera network
A WAVE server per site, on your own hardware or a Hanwha recorder, sized to the camera count and holding that site's licenses

Swipe the table sideways to see every column.

Wisenet WAVE data comes from Hanwha Vision's own WAVE documentation on wavevms.com and its support portal, read on August 14, 2026. Where Hanwha publishes nothing, this table says not publicly specified rather than guessing. Wisenet cameras are supported hardware on both sides of the table and stay on the wall either way.

The four-phase plan

A rollout that keeps coverage live throughout. Most sites go live inside six weeks.

Assess

Week 1

Inventory the fleet per site: model, resolution, codec and network path, plus which cameras reach WAVE over ONVIF and which were added by an RTSP, HTTP or multicast stream URL because they were not fully ONVIF compatible. That second list is the one to confirm first, because it is the same list any camera-agnostic platform has to check. Record the licensing while you are there: how many recording licenses each site holds, which machine's hardware ID they are locked to and which arrived bundled with a recorder.

Who is involved
IT or network owner, plus the security lead
What you need ready
Camera inventory per site, the list of cameras added by stream URL, the recording licenses and hardware IDs per server and the retention each site runs to

Pilot

Weeks 2 to 3

Run one site live on both platforms at once. The overlap is the point: it is the only honest way to compare search, detection quality and what happens after a detection on identical footage, and it costs one site rather than an estate. Pick the site with the most mixed camera generations, because that is where the difference between detections supplied per device and agents reading every camera the same way is visible rather than theoretical.

Who is involved
Site manager plus the security or operations lead
What you need ready
One IVR on site, the existing Wisenet cameras pointed at it and a fortnight of normal operating conditions

Cut over

Weeks 4 to 6

Move site by site rather than estate-wide, keeping WAVE recording at each site until its replacement has run a full week. Cameras do not move and cabling does not change, so a site cutover is a configuration change plus an IVR, not a re-survey. Decommission a WAVE server only after the site behind it has been signed off, and note where its licenses sit first, because they are tied to that machine rather than to the site.

Who is involved
IT, plus whoever signs off coverage per site
What you need ready
An agreed sign-off test per site, the retention obligation for any footage that has to survive the move and the hardware IDs holding each site's licenses

Tune

Ongoing

Once coverage is stable, the work moves from parity to the questions the previous layer was never scoped for: adding operations and safety agents on the same Wisenet cameras, building an Iris detection for something specific to your process and deciding what happens at 03:00 when nobody is watching. This phase is where the switch stops being an infrastructure exercise and starts paying for itself.

Who is involved
The operations or EHS owner, with security
What you need ready
A shortlist of the questions the cameras were never asked before, and the speaker locations already installed on site
Stays exactly as it is
Your IP cameras, whatever the manufacturer, as long as they speak ONVIF or RTSP.
Your analog cameras, which come in through the Intelligent Video Recorder rather than being replaced.
Your cabling, your VLANs and your existing network paths per site.
Your mounting positions and fields of view, so nobody re-surveys the site.
Your Wisenet cameras, which Hanwha designs to feed platforms other than its own, so keeping them and changing the layer above is a supported path.
Changes on day one
One dashboard across every site, with unlimited user seats.
Search in plain English instead of scrubbing timelines.
Agents that act at the moment of an incident rather than filing a notification.
Full-resolution video staying in the building, with only metadata leaving it.
Every camera gets the same detection set whatever generation it is, because the agents run above the fleet rather than inside a device.

Objections, answered

The six that come up in every one of these conversations.

We are a Hanwha house and the cameras are staying.

Good, and nothing here asks otherwise. Wisenet cameras are supported hardware for a camera-agnostic platform, so every camera keeps its mount, its cabling and its field of view. What changes is the software behind them. Hanwha designs its cameras to be integrated into platforms it does not own, so this is the path the hardware was built for rather than a compromise.

Our WAVE licenses do not expire, so the software is already paid for.

True, and the business case should say so plainly rather than pretend the sunk cost away. Two things soften it. The licenses are locked to the hardware ID of the machine they sit on, so a server refresh reopens the question anyway, and assess and pilot cost one site rather than an estate. Time the cutover to a refresh you were going to do, not to an invoice date.

Will we lose coverage during the migration?

No, and the plan makes that structural rather than a promise. WAVE keeps recording at each site until its replacement has run a full week, the cameras never move and cutover happens site by site. If a site fails its sign-off test, that site stays where it is while the others proceed.

What happens to the recordings on the WAVE server?

They stay on that server or recorder under the retention you configured, and they do not migrate. Export anything under a legal or insurance hold before the storage rolls over or the machine is decommissioned. Treat that export list as a deliverable of the assess phase rather than an afterthought, because the window closes with your own retention settings.

Our team knows the WAVE client.

That cost is real and worth naming rather than waving away. The offset is that asking a question in plain English removes most of the scrubbing the old workflow required, so the skill being replaced is largely the one nobody enjoyed. The fortnight of overlap in the pilot exists for exactly this, and it is the cheapest training budget in the project.

Is this cheaper?

It depends on your camera count, your retention and how many recording licenses you have already bought outright, and anyone answering without those three numbers is guessing. Quote both routes against the identical site list over three years, with software, servers or appliances, storage and installation as separate lines on each side. Perpetual licenses and a subscription do not compare on a single year, so use the same three-year window for both.

Map your fleet in one call

Bring a camera list and we will tell you what works as it is.

Request a demo

Proof points from teams that switched

Customer-reported outcomes from named Spot AI customers.

7 weeks

Staccato went from first conversation to full deployment across an 800-acre campus in seven weeks, on the camera infrastructure it already had.

Staccato, firearms manufacturing
25+

Bridge33 Capital standardized video across 25 plus properties, each acquisition arriving with a different camera system, and cut footage search from hours to minutes.

Bridge33 Capital, commercial real estate
2 weeks

The YMCA of Greater Richmond deployed 17 locations in two weeks and standardized retention across the estate.

YMCA of Greater Richmond, non-profit

"Within four minutes of the alarm going off, Spot AI gave us video footage of the incident on the responding officers' phones. We had five recoveries within the hour."

Josh Bowlin
IT Director, Don Franklin Family of Dealerships

Frequently asked questions

Do we have to replace our Wisenet cameras to move off Wisenet WAVE?

No. Wisenet cameras are supported hardware for a camera-agnostic platform: any ONVIF or RTSP IP camera connects as it is, and legacy analog comes in through the Intelligent Video Recorder. Nothing on the wall moves, no coax is pulled and no field of view is re-surveyed. Camera reuse is the argument on this page rather than a concession inside it.

Is Hanwha Vision a competitor to Spot AI?

No. Hanwha makes cameras and Spot AI is software that runs on cameras including Hanwha's. The two sit at different layers of the same system. That is why the subject of this comparison is Wisenet WAVE, the video management system Hanwha publishes alongside its hardware, rather than Hanwha Vision the manufacturer.

What happens to our WAVE licenses?

They stay with the machines they are locked to. Hanwha publishes that a Professional License does not expire and is locked to the hardware ID of the computing device it is installed on, and that one recording license is needed per camera. Any site keeping a WAVE server for another reason keeps its licenses with it, so list the hardware IDs during the assess phase before a machine is decommissioned.

How long does the migration take?

Most estates are live inside six weeks: a week to assess, a fortnight of pilot on one site and then site-by-site cutover. Sites go live individually rather than in one switch, so the timeline scales with how many sites you have rather than how many cameras sit inside them.

What is the main architectural difference?

WAVE is a server-based video management system: recording runs on your own hardware or a Hanwha recorder, licenses are per camera and locked to that machine, and the object metadata it searches arrives from the camera or an analytics plugin. Spot AI is hybrid edge to cloud: full-resolution video stays on the Intelligent Video Recorder in the building, only event metadata leaves it, and the agents read every camera the same way across security, safety and operations.