What it means
Camera-to-alert latency includes stream ingest, inference, event creation, routing, VMS delivery, and the first usable notification. It is broader than model inference time.
Why it matters
Safety buyers should measure the full path. A fast model still fails if the alert arrives late in the operator workflow.
Evaluation questions
Is latency measured in the actual pilot environment?
Does the measurement include VMS routing?
What response action depends on the alert timing?
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Evaluating latency for workplace safety
Understand what to measure before trusting a latency claim.
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 camera-to-alert latency 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.