Rail & Transit Intelligence
Transform existing station and depot cameras into real-time incident sensors. Detect track trespass, platform crowding, and unattended objects in under 200 milliseconds.
Deployment Context
Rail & Transit Intelligence requires environment fit and immediate proof of value.
Verify how Dhi integrates with your specific camera estate and VMS workflow before any on-site deployment happens.
Precision Rate
Transform existing station and depot cameras into real-time incident sensors. Detect track trespass, platform crowding, and unattended objects in under 200 milliseconds.
Edge Latency
Identify unauthorized access to tracks before trains approach, preventing fatalities and service disruptions.
Native Support
Monitor platform edges for falls, collapses, or dangerous proximity to moving trains.
On-Premises
Track crowd density and movement patterns to prevent dangerous overcrowding and stampede risks.
Operator fit
This industry page is designed to answer environment fit, workflow fit, and why the deployment model matters before a buyer clicks into deeper use cases.
Edge AI Capabilities
Neural models operating natively on the NVIDIA Jetson platform, delivering real-time safety signals without cloud dependency.
Track Trespass
Identify unauthorized access to tracks before trains approach, preventing fatalities and service disruptions.
Platform Edge Safety
Monitor platform edges for falls, collapses, or dangerous proximity to moving trains.
Crowd Management
Track crowd density and movement patterns to prevent dangerous overcrowding and stampede risks.
Edge Integrity & VMS Native Integration
Dhi transforms existing IP cameras into intelligent safety sensors. We deliver alerts natively into Milestone and Genetec, requiring zero additional cloud bandwidth.
NVIDIA Jetson AGX
Localized compute executes complex skeletal and object models at the source. Eliminate the cost and latency of cloud streaming.
Native Alert Protocol
Events stream as standard ONVIF metadata. Operators receive alerts in their existing dashboards without learning new software.
Air-Gapped Privacy
Raw CCTV footage never touches the public internet. Only safety metadata leaves the node, maintaining perfect data sovereignty.
Continue Exploring
Deploy a rail & transit intelligence pilot.
Review supported cameras, VMS alert routing, and the specific measurable KPIs for your public infrastructure environment.
Scale from 1 location to 100+ with zero cloud architectural changes.
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.