Architecture
Traditional VMS + NVR + add-ons
Separate VMS, analytics box, monitoring tool and spreadsheets, joined by integrations
Nebula OS
One operating system with modules on a shared device and event model
Comparison
Short answer
A traditional stack records on an NVR or VMS and adds AI through a separate analytics appliance, with health, assets and maintenance tracked elsewhere. Nebula OS is one Linux-based operating system that runs video management, AI analytics, camera health, asset tracking and AMC as modules sharing one device and event model.
Side by side
| Dimension | Traditional VMS + NVR + add-ons | Nebula OS |
|---|---|---|
| Architecture | Separate VMS, analytics box, monitoring tool and spreadsheets, joined by integrations | One operating system with modules on a shared device and event model |
| AI analytics | A parallel stream into a separate appliance, usually on a subset of cameras | An AI runtime reading the same decoded frames the recorder already uses |
| Camera health | Often limited to network reachability; recording failures can go unnoticed until an investigation | Device, stream, recording and storage health checked continuously by the OS |
| Asset & warranty records | Spreadsheets and email threads that drift away from what is installed | Every connected device is an asset record with ownership, warranty and history |
| Maintenance | Raised manually, after someone notices, against whichever vendor is remembered | Driven by health events against the contract already attached to the device |
| Updates | Component-by-component, with re-testing of every integration | Managed OS and service updates with a rollback-ready deployment path |
| Camera choice | Depends on what each separate product supports and how well they integrate | Brand-neutral through a universal device layer (ONVIF, RTSP, OEM SDKs) |
Traditional VMS + NVR + add-ons
Separate VMS, analytics box, monitoring tool and spreadsheets, joined by integrations
Nebula OS
One operating system with modules on a shared device and event model
Traditional VMS + NVR + add-ons
A parallel stream into a separate appliance, usually on a subset of cameras
Nebula OS
An AI runtime reading the same decoded frames the recorder already uses
Traditional VMS + NVR + add-ons
Often limited to network reachability; recording failures can go unnoticed until an investigation
Nebula OS
Device, stream, recording and storage health checked continuously by the OS
Traditional VMS + NVR + add-ons
Spreadsheets and email threads that drift away from what is installed
Nebula OS
Every connected device is an asset record with ownership, warranty and history
Traditional VMS + NVR + add-ons
Raised manually, after someone notices, against whichever vendor is remembered
Nebula OS
Driven by health events against the contract already attached to the device
Traditional VMS + NVR + add-ons
Component-by-component, with re-testing of every integration
Nebula OS
Managed OS and service updates with a rollback-ready deployment path
Traditional VMS + NVR + add-ons
Depends on what each separate product supports and how well they integrate
Nebula OS
Brand-neutral through a universal device layer (ONVIF, RTSP, OEM SDKs)
Decision guide
OrionAlerts
Nebula OS is the Linux-based operating system underneath OrionAlerts. Instead of a recorder plus separate tools, one node at the site runs video management, AI video analytics, camera health monitoring, asset records and AMC workflows, all referring to the same device and event records.
It does not require replacing what already works. The universal device layer connects supported IP cameras and recorders through ONVIF, RTSP and vendor SDKs, so an existing NVR can keep recording while Nebula OS adds analytics, health, asset and maintenance functions alongside it.
FAQ
No. Nebula OS connects supported IP cameras and recorders through ONVIF, RTSP and vendor SDKs, so an existing NVR can keep its recording role while Nebula OS adds AI video analytics, camera health monitoring, asset records and AMC workflows. Support for each recorder and camera model is confirmed during solution design.
No. The on-site node model is designed for single plants, campuses and facilities, with one Nebula OS node next to the cameras. Multi-site organizations run a node at each site and add Orion Cloud for one central view, and integrators can run nodes for their clients in the partner-managed model.
When AI is needed on only a few cameras at one site, the existing recorder works well, and camera health, assets and maintenance are already managed elsewhere. As camera counts, sites and integrations grow, keeping separate products connected and updated becomes harder, which is the problem a single operating system is designed to address.
We will look at your sites, cameras and connectivity and show how Nebula OS would be deployed.