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.
- GuideOn-premise video analytics privacy guideReview local processing and data movement.
- 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 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.
- 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.