Definition
ONVIF
A standards-based way for video systems and cameras to interoperate.
What it means
ONVIF is a common interoperability standard used by security cameras and VMS platforms. In a safety analytics deployment, it can help with camera discovery, stream access, and event workflows.
Why it matters
ONVIF support reduces lock-in risk and makes it easier to test AI analytics on the infrastructure a site already owns.
Evaluation questions
Which ONVIF profiles are supported by the camera estate?
Can event metadata route into the current VMS?
Are permissions and credentials scoped for read-only analytics access where possible?
Continue Exploring
Axis camera integration
Use RTSP and ONVIF streams from existing Axis cameras.
Platform architecture
Review how DHI runs inference, event routing, and camera ingest.
Edge AI safety evaluation guide
Use a structured checklist to evaluate platform fit before a pilot.
Pricing and pilot scope
Understand what changes the final pilot and rollout scope.
Validate onvif in a real pilot.
Use your current cameras, VMS, and response workflow to test whether the concept works in one defined zone.
The checklist is built for operators evaluating a live pilot in the next 30 days.
Request a demo
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
See deployment architecture
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Get the implementation checklist
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Talk to an engineer
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.