A structured review of Hanwha Vision's Wisenet WAVE video management software for IT and security teams running their own video servers: what it does well, where the constraints sit and who should look elsewhere. Every score traces to something Hanwha Vision publishes.
Wisenet WAVE is documented like software rather than marketed like a platform, and that is its strongest feature. Hanwha publishes a compatible-devices list running to more than a thousand manufacturers, states that ONVIF Profile S devices are detected automatically and that RTSP or HTTP streams can be added by hand, and puts recommended maximums in the manual, at 256 cameras per server, 10,000 resources per system and 1,000 users. The rules engine can act rather than only notify, with actions to play a sound, repeat it, speak text or trigger a device output for 30 seconds on a device that supports two-way audio. It scores lower on what the software itself analyzes, because the AI Hanwha publishes runs on the camera and what WAVE derives from a third-party stream is not publicly specified. Choose WAVE when you want a capable video management system on servers you control. Look elsewhere when the AI, rather than the recording, is the point of the project.
Five criteria, each scored from Hanwha Vision's own current documentation as of August 14, 2026. Spot AI competes with Hanwha Vision, so no score here rests on an anonymous source, an aggregated user rating or a private benchmark: each one sits next to the documented fact behind it. Anything Hanwha Vision does not document is recorded as not publicly specified rather than assumed. This review scores Hanwha Vision's video management software, not its cameras: Hanwha cameras are ONVIF devices that work with Spot AI as they are, and they are treated here as the compatibility partner they are. This is not a paid placement, and Hanwha Vision had no input into it.
This is software documented like software: device rules, capacity ceilings and event actions are all in the manual. What the software itself analyses is the one thing that is not.
Wisenet WAVE is Hanwha Vision's video management software. The manual describes the system in four parts, media servers, the users and permissions database, the client applications and WAVE Sync as the cloud service for remote access, and it publishes the numbers a systems engineer needs before sizing anything: a recommended maximum of 100 servers and 10,000 resources per system, 256 cameras per server and 1,000 users. The design target is a team that wants to own its recording infrastructure rather than rent it, on hardware it specifies.
Device support is where WAVE is unusually open about itself. ONVIF Profile S devices are detected automatically and appear in the resource tree, RTSP and HTTP streams can be added by hand from the server, and Hanwha publishes a compatible-devices list in its support portal covering more than a thousand manufacturers and tens of thousands of devices. The list carries its own caveat, stated by Hanwha: it is built from devices found on WAVE systems where the user allowed device specifications to be reported back, which is a more honest description of a compatibility list than most vendors give.
The rules engine is the part most reviews skip. WAVE events can trigger a set of documented actions, among them Play Sound, Repeat Sound, Speak, Device Output for 30 seconds, Bookmark, Send Email, Show Notification, Show Text Overlay and Execute PTZ Preset, with the sound actions requiring a device that supports two-way audio and accepting WAV, MP3, OGG or WMA files up to 30 seconds. Clients run on Windows, macOS and Ubuntu Linux on the desktop, on Android and iOS on mobile, and through the server web admin and cloud admin in a browser.
WAVE is strongest as a well-documented video management system on infrastructure you control, and thinnest where the AI on the feeds, rather than the recording of them, is the reason for the project.
Both columns are documented. Nothing here comes from an anonymous review.
Both columns describe documented behavior. Hanwha Vision's column was checked against its own documentation on August 14, 2026.
Swipe the table sideways to see every column.
Hanwha Vision data comes from Hanwha Vision's own public documentation as checked on August 14, 2026. Gaps are marked as not publicly specified.
The honest split, stated the way a shortlist call would state it.
If the requirement is a capable video management system on servers you specify, with retention and network under your control and a published device list to check a mixed fleet against, WAVE is a strong answer and an unusually well documented one. The published capacity numbers and the client coverage across Windows, macOS and Linux also make it easier to design honestly than most systems in this class.
If the reason for the project is what the cameras notice rather than that they record, the AI question moves to the camera side and to whatever runs above the video management system. A team that wants named detections across a mixed fleet, and a documented action the moment one fires, is buying a different category of product on the same cameras.
Spot AI connects to any ONVIF or RTSP IP camera and brings legacy analog in through the Intelligent Video Recorder, runs AI Security Guard across the whole fleet and deters with talk down, strobes and horns through standard speakers. Full-resolution video stays in the building, and only event metadata goes to the cloud.
These two are not really rivals for the same slot, and a shortlist that treats them as one loses the plot. Wisenet WAVE is a video management system: it records, it manages, it serves clients and it can act through its rules engine. Spot AI is the AI layer over cameras a business already owns, including Hanwha cameras, which speak ONVIF and connect to the Intelligent Video Recorder as they are. The real question is which layer the project is actually buying.
The cheapest way to settle it is to name the outcome first. If the outcome is reliable recording, search and access control of who can see what, WAVE answers it on hardware you own. If the outcome is that somebody is told, and something happens, when a person is in the yard at 03:00, run a week of live feeds on both and compare what each one caught.
Hanwha cameras are compatibility partners rather than a constraint here. Whichever software layer wins, the cameras on the wall keep working, which is the point of an ONVIF estate.
See what the AI catches on your live feeds before any platform decision.
Customer-reported outcomes from named Spot AI customers.
Liberty-Perry School District resolves an incident in about five minutes, after evaluating ten systems before choosing Spot AI.
Cambridge City cut footage search from two hours to 30 seconds after consolidating seven municipal locations on one platform.
Unique Industries covers more than a million square feet with a three-person safety team, catching near misses and falls on the cameras already installed.
"Having cameras that talk back to you changes everything. Spot AI has become a real part of our safety team."
Yes, for the right profile. Hanwha Vision scores 3.7 out of 5 here on its video management software, carried by a published compatible-devices list, capacity numbers stated in the manual and a rules engine that can act rather than only notify. It fits a team that wants to run its own video servers. Buyers whose project is really about AI on the feeds should read what the software itself analyzes before anything else.
Yes. Hanwha documents that ONVIF Profile S devices are detected automatically and appear in the WAVE resource tree, and that RTSP and HTTP streams can be added by hand from the server. A compatible-devices list published in the Hanwha support portal covers more than a thousand manufacturers, with Hanwha stating that it is compiled from devices found on WAVE systems where the user allowed device specifications to be reported back.
Yes, and it is documented in the manual. Event rules can trigger Play Sound, Repeat Sound, Speak, Device Output for 30 seconds, Bookmark, Send Email, Show Notification, Show Text Overlay and Execute PTZ Preset. The sound actions need a device that supports two-way audio and accept WAV, MP3, OGG or WMA files up to 30 seconds, so what a given site can do depends on the audio hardware already installed there.
By recorded channel. Hanwha documents the licence types by name in its support portal and counts them per channel recorded, so the licence count follows the cameras you actually record rather than the cameras you view. Confirm the licence type against the recording design in writing before anything is ordered.
It depends on which layer the project is buying. If the goal is AI across a mixed fleet with named detections and something happening the moment one fires, a camera-agnostic platform such as Spot AI fits, because 15+ pre-trained Video AI Agents run across the cameras already installed, Hanwha cameras included, and full-resolution video stays on the Intelligent Video Recorder on site. If the goal is recording infrastructure you own and control, WAVE is hard to fault. The alternatives roundup compares the field side by side.