What it means
A camera estate includes the cameras, stream protocols, viewing angles, recording systems, network paths, credentials, and operational ownership around video.
Why it matters
Safety AI quality depends on the actual estate. Camera angle, lighting, stream stability, and VMS routing often matter as much as the model.
Evaluation questions
Which cameras cover the first pilot zone?
Are stream URLs and permissions available?
Do camera angles see enough of the safety event?
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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 camera estate 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.