What it means
A pilot KPI is a metric agreed before deployment, such as camera-to-alert timing, nuisance alert rate, acknowledgement time, event usefulness, or near-miss capture.
Why it matters
Without KPIs, a pilot turns into a demo. With KPIs, the team can decide whether to expand, tune, or stop.
Evaluation questions
- What outcome will prove value in the first zone?
- Who reviews the KPI each week?
- What result triggers expansion?
Continue exploring.
- GuideIndustrial AI pilot checklistUse a checklist to define pilot KPIs before deployment.
- 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 pilot kpi 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.