A documented comparison for teams running Wisenet cameras and wondering what else the estate could do. The useful part first: Hanwha Vision makes the cameras, so an alternative to Hanwha and an alternative to the software reading Hanwha cameras are two different purchases. This page separates them.
Hanwha Vision builds network cameras and the software around them, positioning itself as Smart Visual Intelligence Solutions. Its current generation is Wisenet 9, which it describes as a new era in AI-driven security, built on its own system on chip with artificial intelligence and cybersecurity named as pillars, alongside a Wisenet WAVE video management system and a thermal line. Teams shop for an alternative in two situations worth keeping apart: replacing the hardware, or keeping the hardware and changing what reads it. The five below cover both, and only one of them asks you to buy cameras.
An alternative to Hanwha Vision splits in two the moment you ask what is actually being replaced. The cameras on the wall, or the software deciding what they notice.
Every cell is something the vendor publishes, or an explicit not publicly specified.
Swipe the table sideways to see every column.
Hanwha Vision's row was read off hanwhavision.com on August 13, 2026 through a rendering browser, because the site is client rendered and returns no extractable prose to a plain fetch. The Wisenet 9 naming, the three named pillars, the thermal positioning and the Milestone XProtect plug-in press release dated 2026-07-20 all come from that read. The people and vehicle detection and the count analytics are documented in Arcules's own per-manufacturer compatibility material rather than by Hanwha. The other five rows come from each vendor's public documentation reviewed in July and August 2026 on the same four columns.
Separate two questions that get merged constantly, because merging them is how estates end up replacing hardware that works. Hanwha Vision makes cameras: Wisenet 9 runs deep learning on its own system on chip, cybersecurity is named as a pillar rather than assumed, and the range runs from bank branches to ruggedized outdoor PTZ. If your cameras are failing, out of support or the wrong optics for the job, you are shopping for hardware and Verkada belongs on your list. If the cameras are fine and the complaint is what the system notices, you are shopping for software and every Wisenet camera you own can stay.
The first reason the software question comes up at all is that on-camera analytics scale beautifully and stop at the camera's own view. Analyzing video in the device avoids adding a server for every batch of cameras, which is exactly right. What that architecture does not do is reason across the estate, and a question spanning several views is a question for a platform sitting above the devices.
The second is scope. Hanwha publishes a deep detection catalog aimed at security, and its own integration work points outward: the July 2026 plug-in that adds similarity search to Milestone XProtect makes its output more useful inside somebody else's platform. It does not publish a pre-trained agent set for safety or operations, or autonomous on-site deterrence. So a plant asking about PPE compliance, forklift near-misses, hazard-zone crowding or dock delays is asking a question the cameras can physically see and the published software set does not name.
An alternative to a camera maker is a hardware decision. An alternative to what reads those cameras is a software decision. Only one of them needs a purchase order for hardware.
What each one is, where it is strong, and what to check before you commit.
Spot AI is a software-led video AI platform that turns the IP cameras a business already owns into AI coworkers. An on-site Intelligent Video Recorder keeps full-resolution video in the building and sends only event metadata to the cloud, so search and multi-site management stay cloud-based while footage does not leave the facility.
Verkada is a cloud-managed platform that sells its own cameras, access control, sensors, alarms and intercoms under one console, and publishes per-device MSRPs. Third-party cameras come in through Command Connector, which Verkada states is an ONVIF Profile S conformant client and can also ingest RTSP feeds.
Eagle Eye Networks is a cloud video management system that connects to virtually any ONVIF-conformant camera and digitizes analog feeds through analog-ready Bridges and CMVRs, then layers cloud analytics on top of the estate. Its documentation names ONVIF Profile S and dual codec streaming as the integration path.
Milestone XProtect is an open-platform video management system sold in four editions: Express+, Professional+, Expert and Corporate. Milestone positions it around what it calls the market's widest choice of cameras, sensors and IoT devices, with more than 1,000 third-party applications available to extend it.
Genetec Security Center unifies access control, video, automatic license plate recognition and communications in one platform, built from named modules: Omnicast for video, Synergis for access control, AutoVu for license plate recognition, Sipelia for communications and Mission Control for decision management. Genetec states its solutions are non-proprietary and built on open architecture.
Six questions that separate these platforms faster than any feature list.
Answer this before anything else, because it removes options fast. Verkada is the only one here that brings its own cameras, though its Command Connector ingests third-party ONVIF and RTSP feeds. Eagle Eye lists more than 7,500 supported cameras and digitizes analog through its Bridges. The matrix above gives the other three their terms. Count what you own and what replacing it would cost before comparing features.
A platform above the cameras answers questions that span views: the same person at the dock and then at the fence, a vehicle that arrived twice, a line that stopped while the aisle stayed busy. Write down five questions you actually want answered and mark which ones need more than one camera to answer.
Ask for the shipped list rather than the capability. Hanwha's published strength is security detection on the device. Eagle Eye names Gun Detection, LPR, Face Match and Precision Person and Vehicle Detection. Spot AI ships 15+ named agents across security, safety and operations plus Iris for custom detections. Milestone and Genetec assemble theirs from a partner marketplace.
Hanwha's documentation covers detection and notification; autonomous on-site response is not publicly specified. Eagle Eye documents sirens and talk-down. Verkada's deterrence works with its own horn speaker or Intercom hardware. Spot AI runs talk down, strobes and horns through standard speakers already mounted. Settle how much of the response should happen without a person.
The analytics Hanwha publishes run on the camera, so a mixed fleet inherits whatever each model can do and what WAVE itself derives from a third-party stream is not publicly specified. Spot AI runs its agents on the stream rather than the sensor, so an old camera and a new one get the same detections. Ask which of your models qualify before you count them.
Ask before the demo, not after. Hanwha's model keeps recording on premises through Wisenet WAVE, and the FAQ below sets out where each alternative puts the video. On a plant network, and where employee representatives have a view on monitoring, that answer decides shortlists more often than capability does.
Spot AI fits when the cameras are staying and the complaint is what the system notices. It connects to any ONVIF or RTSP camera and brings legacy analog in through the Intelligent Video Recorder, ships AI Security Guard, AI Operations Assistant and AI Safety Manager plus Iris for the detection nobody ships, and runs talk down, strobes and horns through speakers already mounted. Full-resolution video stays in the building and only event metadata leaves it.
Hanwha Vision stays the right call when the requirement is the camera itself: strong on-device analytics, a broad range covering awkward environments, cybersecurity named as a pillar, and hardware designed to be integrated into whatever platform sits above it. That is a manufacturer expecting its cameras to feed someone else's software, which is exactly why keeping them and changing the layer above is a real option.
A camera-agnostic platform lets you test the AI on your own cameras before any hardware decision, which is the cheapest way to de-risk the choice.
Watch the AI coworkers work on your live feeds, not a demo reel.
Customer-reported outcomes from named Spot AI customers.
Bridge33 Capital standardized video across 25 plus commercial properties on whatever cameras each acquisition already had, and cut footage search from hours to minutes.
Silver Bay Seafoods lifted operational efficiency 15% and improved PPE compliance across 22 locations after replacing fragmented legacy camera systems.
Cambridge City cut the time it takes to find footage from two hours to thirty seconds.
"With Spot AI, we were able to standardize video surveillance across existing and newly acquired assets, regardless of what cameras were already installed."
It depends which purchase you mean. If you are replacing cameras, Verkada is the closest single-vendor comparison. If you are keeping the Wisenet cameras and changing the software above them, Spot AI, Eagle Eye Networks, Milestone and Genetec are the four to weigh, and each reads third-party cameras rather than requiring its own.
No. Wisenet cameras speak the same standard protocols any video AI platform reads, and Hanwha itself builds integration plug-ins for third-party platforms. Spot AI connects to any ONVIF or RTSP camera and brings legacy analog in through the Intelligent Video Recorder, so the AI question can be answered without a hardware project.
On premises in Hanwha's own model: Wisenet WAVE unifies the cameras across a site and keeps the recording local. Eagle Eye Networks stores video on its own data centers, Genetec is on premises by design, and Spot AI keeps full-resolution video in the building on the Intelligent Video Recorder and sends only event metadata out.
Its current generation, Wisenet 9, runs deep learning on Hanwha's own system on chip, with artificial intelligence and cybersecurity named as pillars alongside it. People and vehicle detection plus people count and parked vehicle count are documented through partner integration material. It also markets a thermal line for detecting threats before they are visible. Autonomous on-site deterrence is not publicly specified.
No. Hanwha makes cameras and Spot AI is software that runs on cameras, including Hanwha's. They sit at different layers of the same system, which is why this page separates the hardware decision from the software decision.