What RTSP and ONVIF actually mean for your existing camera fleet, how to check compatibility before a vendor call, and where mixed-brand deployments break.
Almost every question about "will this AI analytics thing work with our cameras" comes down to one word: RTSP. It's the streaming protocol nearly every commercial IP camera installed in the last decade already speaks, and understanding what it actually is — and isn't — will save a security team weeks of back-and-forth with vendors and integrators. This is the practical version of that conversation, written for the person who has to answer for the fleet, not the marketing version.
RTSP (Real Time Streaming Protocol) is the mechanism a camera uses to output its live video feed to whatever's consuming it — typically your NVR or VMS today. Every RTSP-capable camera exposes a URL (something like rtsp://192.168.1.50:554/stream1) that any compatible client can connect to and start receiving frames from. It's been the de facto standard for IP camera streaming for well over a decade, which is why the practical question for adding AI analytics almost always reduces to: can the analytics platform connect to that same RTSP URL. If it can, the camera doesn't need to be touched, reconfigured, or replaced — the analytics platform is just another client reading the same stream your recorder already reads.
ONVIF is a separate, broader standard covering discovery and device control — how a piece of software finds cameras on a network, reads their capabilities, and adjusts settings like resolution or motion zones, in a way that works across different camera manufacturers rather than requiring a vendor-specific integration for each brand. A platform that supports ONVIF discovery can typically scan a subnet and auto-populate a list of cameras with their RTSP URLs already resolved, instead of requiring someone to manually type in every stream address across a hundred-camera site.
In short: RTSP carries the video, ONVIF finds and configures the camera. Most enterprise IP cameras support both, and that combination is what makes "works with any existing camera" a real, deliverable claim rather than a marketing simplification.
Before any vendor call, it's worth spending an hour confirming what's actually installed. Three places to look:
Common enterprise brands — Hikvision, Dahua, Axis, Bosch, Uniview, and most others sold into commercial or industrial markets — support RTSP and ONVIF as standard, though the exact URL format, port numbers, and required authentication vary slightly by brand and even by firmware version. That's normal and expected; it's a configuration detail, not a compatibility blocker.
Not sure if your specific fleet is a clean fit? Send us the camera models and NVR/VMS in use — we'll confirm compatibility before any commitment.
Ask engineering →Mixed-brand fleets are the norm, not the exception, at most facilities with more than a handful of cameras added over several years — and each brand has small quirks that a competent integration should already account for:
None of this is disqualifying. It's exactly the kind of detail a competent integrator or vendor onboarding process should handle during a camera-fleet audit, not something a facility team needs to solve alone.
This is worth understanding clearly before evaluating vendors, because it changes what "compatibility" even means in a given pitch. There are two structurally different business models in AI video analytics, and they are not interchangeable:
Both are legitimate approaches and neither is universally "wrong" — a bundled-hardware model can make sense for a brand-new greenfield site with no existing cameras. But for the very common case of a facility with an existing, working, recently-purchased camera fleet, the camera-agnostic model is the one that avoids a hardware write-off and keeps future vendor flexibility on the table. Vengeea is built on the camera-agnostic model deliberately: it reads RTSP/ONVIF streams from any brand, requires no camera replacement, and typically reaches first live detections in 1–3 days once the network path to the cameras is confirmed.
RTSP (Real Time Streaming Protocol) is the standard method nearly every commercial IP camera uses to output its live video feed to another system, such as an NVR or a VMS. Because it's already how your cameras talk to whatever records them today, an AI analytics platform that reads the same RTSP stream can be added without touching the cameras themselves.
Check the camera's admin web interface for a streaming or network settings page listing an RTSP URL, or check the model's spec sheet or datasheet — RTSP support is almost always listed as a standard feature on commercial and enterprise IP cameras from brands like Hikvision, Dahua, Axis, Bosch and Uniview. If your fleet already feeds into an NVR or VMS, it is almost certainly already using RTSP to do so.
RTSP is the streaming protocol that carries the actual video. ONVIF is a separate, broader standard that camera and software vendors use for discovery and control — finding cameras on a network, reading their configuration, and adjusting settings — across different manufacturers. A platform that supports both can typically discover and enroll a mixed-brand fleet automatically rather than requiring every RTSP URL to be entered by hand.
A camera-agnostic vendor processes whatever RTSP or ONVIF stream your existing cameras already output, so no camera replacement is required. A bundled-hardware vendor requires purchasing their proprietary cameras or edge devices as part of the deployment. Both are legitimate business models, but they represent different commitments: one lets you keep your existing fleet and switch analytics vendors later without a hardware write-off, the other ties analytics and hardware together.
Any RTSP/ONVIF camera, any brand. No replacement. Live in 1–3 days.
