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.
- IntegrationAxis camera integrationUse RTSP and ONVIF streams from existing Axis cameras.
- PlatformPlatform architectureReview how DHI runs inference, event routing, and camera ingest.
- GuideEdge AI safety evaluation guideUse a structured checklist to evaluate platform fit before a pilot.
- PricingPricing and pilot scopeUnderstand 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.
- Book a demoSee the flow on a real operating scenario and scope a pilot around one facility or corridor.
- See deployment architectureReview camera ingest, edge inference, alert routing, and what stays on-premises.
- Get the implementation checklistDownload the deployment checklist buyers use before green-lighting an industrial AI pilot.
- Talk to an engineerBring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.