Two paths to the same alert.
AI security cameras run analytics inside the camera. The camera itself classifies people and vehicles, draws line-crossing zones and sends events to a recorder or cloud service. Getting AI this way means buying and installing new cameras, often from a single manufacturer, and usually a matching recorder or cloud subscription.
AI software runs analytics on the video you already have. It might run on an appliance next to the recorder, inside a video management system, in the cloud or, in Semaphor’s case, on the monitoring screen itself. The cameras on the wall stay the same. Our guide on adding AI to existing security cameras walks through the options.
Both paths end in the same place: a guard gets an alert that a person or vehicle is where it should not be. The difference is what you have to rip out to get there.
Side-by-side comparison.
| New AI security cameras | AI software on existing cameras | |
|---|---|---|
| Hardware | New cameras, often a new recorder | Cameras stay; software on a workstation, appliance or server |
| Rollout | Site visits, lifts, cabling, per camera | Install once per monitoring station or site |
| Coverage on day one | Only the cameras you replaced | Every camera the software can see |
| Mixed brands and ages | Usually one brand per system | Works across what is already installed |
| Where analytics live | Fixed in the camera firmware | Updated in software, centrally |
| Model size | Limited by the camera’s chip | Can use larger models, including scene reports |
| Lock-in | Tied to the camera maker’s ecosystem | Depends on the approach; screen-based has least |
| Best for | New builds and end-of-life replacements | Existing sites and multi-site monitoring |
When new AI cameras make sense.
If a site is being built or the old cameras are failing, buying AI-capable cameras is reasonable. You are paying for the install anyway, and on-camera analytics can trim bandwidth on remote links. Camera-side analytics are good at simple, fixed rules: a person crossed this line, a vehicle entered this zone.
The trouble starts at scale. A guard company or monitoring center does not own one camera system. It watches dozens of client sites, each with its own brand, recorder and age of equipment. Telling every client to replace working cameras before you can offer smarter monitoring is a hard sale, and even after the swap, events arrive in yet another vendor’s app that the guard has to watch.
When AI software makes sense.
Software fits the reality most monitoring teams live in: mixed cameras, mixed recorders, contracts that change every quarter. It gives every existing view the same analytics, updates in one place and can run models far larger than a camera chip can hold. That includes vision-language models that describe what is happening in a scene rather than just drawing a box.
The catch with many software products is integration. Plenty of them need camera credentials, RTSP streams, a specific VMS or a vendor API, which turns every new client into a small IT project. The comparison of screen-based vs VMS-integrated analytics covers that trade-off in detail.
When to choose each.
Buy AI cameras when…
- The site is new or the cameras are at end of life.
- You control one system and one brand.
- Simple line and zone rules are enough.
- Bandwidth off site is tightly limited.
Add AI software when…
- The cameras work and nobody wants to replace them.
- You monitor many sites with mixed brands and recorders.
- You want scene understanding, not just boxes.
- You want AI across every camera this month, not next budget year.
Where Semaphor fits.
Semaphor is AI software with the lightest possible footprint. It works from the monitoring screen guards already use: it captures the rendered video wall or camera dashboard, separates each camera pane and follows each view as layouts cycle and rearrange. No camera credentials, no vendor API, no new VMS, no rip-and-replace. If a guard can see a camera on the screen, Semaphor can watch it.
From there, local person and vehicle detection runs on every pane, a preliminary alert lands immediately and an AI scene report explains what is happening, what it recommends and what is still uncertain. The guard reviews the original frames and decides. Cameras on the wall from five different manufacturers all get the same analytics and the same inbox.
Keep the cameras. Keep the camera software. Add the intelligence on the screen.
Ready to see it on your own feeds? Book a live demo on your own camera screens, or start a pilot on one monitoring station and compare it against a camera replacement quote.
Frequently asked questions.
Do I need AI cameras to use Semaphor?
No. Semaphor works with the cameras and camera software you already run, reading the monitoring screen your guards watch.
Can Semaphor work alongside AI cameras I already own?
Yes. Camera-side events keep flowing to your existing software, and Semaphor adds prioritized alerts, scene reports and evidence from the screen.
What is an AI box for CCTV?
An appliance that connects to camera streams and runs analytics on them. It avoids new cameras but usually needs stream access and setup per site. Semaphor needs only the screen.
Does Semaphor use facial recognition?
No. Semaphor detects and tracks people and vehicles per camera without identifying anyone. See security and privacy.