Definition
On-premise video analytics
Video analysis that runs inside the customer environment.
What it means
On-premise video analytics processes camera feeds on hardware controlled by the site owner. It reduces dependence on cloud video streaming and supports tighter data boundaries.
Why it matters
Many facilities cannot or should not stream sensitive camera feeds to third-party systems for the first safety alert.
Evaluation questions
Can the deployment run without continuous cloud streaming?
Where are events stored?
Who controls retention and export?
Continue Exploring
On-premise video analytics privacy guide
Review local processing and data movement.
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 on-premise video analytics 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.