Automated person-down alerts at the exact platform edge. Dhi monitors tactile warning strips and platform boundaries in real time, alerting station managers the instant a commuter collapses or stands dangerously close to moving trains.
Logic Validation
Verify the specific neural thresholds and VMS integration triggers used to automate this safety protocol.
Alert Latency
Automated person-down alerts at the exact platform edge. Dhi monitors tactile warning strips and platform boundaries in real time, alerting station managers the instant a commuter collapses or stands dangerously close to moving trains.
Anonymized
Dynamic Virtual Tripwires: AI draws a persistent boundary over the platform's yellow tactile warning strip, triggering automated alerts for any body crossing into the danger zone.
Integration fit
When a commuter crosses the danger threshold, Dhi automatically flags the event in your VMS alarms and streams the associated camera feed to the operator's main monitor instantaneously.
Failure mode coverage
Skeletal Posture Mapping: Detects if a body is upright, leaning dangerously, or has fallen horizontally near the tracks — the exact 'person-down' scenario transit agencies need solved.
Use-case fit
Crowd Push Estimation: Analyzes crowd density gradients to predict involuntarily pushed commuters.
When a commuter crosses the danger threshold, Dhi automatically flags the event in your VMS alarms and streams the associated camera feed to the operator's main monitor instantaneously.
Dhi's models do not stream raw video to the public cloud. All safety inferencing occurs on-premise within your localized network, ensuring GDPR compliance and air-gapped security for critical infrastructure environments.
Coordinate a 30-day architecture review and live camera validation for platform edge safety in your facility.
Compatible with existing Milestone, Genetec, and standard ONVIF streams.
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.