What it means
Platform edge safety focuses on the warning line, platform edge, and train approach area. It detects falls, unsafe proximity, and boundary events in a mapped station view.
Why it matters
Transit teams need location-specific alerts that can reach operators or station staff before train movement changes the risk.
Evaluation questions
Can the camera clearly see the warning line and edge?
Which events interrupt the control room?
How does the alert identify platform, track, and camera?
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Platform edge safety
Review platform boundary detection and response paths.
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 platform edge safety 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.