What it means
A deployment timeline maps the work required to select cameras, install or configure edge compute, connect streams, route alerts, review events, and decide whether to expand.
Why it matters
A clear timeline keeps pilots from drifting into open-ended demos and gives IT, security, and operations shared expectations.
Evaluation questions
- What happens before live alerting starts?
- When are weekly reviews scheduled?
- What date triggers the expand, tune, or stop decision?
Continue exploring.
- TemplateDeployment timeline for edge AI safetyA sample timeline for a 30-day pilot.
- 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 deployment timeline 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.