Definition
Deployment timeline
The sequence of steps from camera review to pilot decision.
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?
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Deployment timeline for edge AI safety
A sample timeline for a 30-day pilot.
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 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.
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.