What it means
Track trespass detection identifies confirmed occupancy inside a mapped rail danger zone, such as a trackbed, tunnel mouth, or right-of-way boundary.
Why it matters
The physical zone determines urgency. A person on a platform and a person inside the rail envelope are different events.
Evaluation questions
- Is the rail envelope mapped in the camera view?
- Can authorized maintenance be separated from public intrusion when the scene supports it?
- Where does the alert route in the control-room workflow?
Continue exploring.
- Use CaseTrack trespass detectionReview the rail use case and alert workflow.
- PlatformPlatform architectureReview how DHI runs inference, event routing, and camera ingest.
- GuideEdge AI safety evaluation guideUse a structured checklist to evaluate platform fit before a pilot.
- PricingPricing and pilot scopeUnderstand what changes the final pilot and rollout scope.
Validate track trespass detection 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.
- Book a demoSee the flow on a real operating scenario and scope a pilot around one facility or corridor.
- See deployment architectureReview camera ingest, edge inference, alert routing, and what stays on-premises.
- Get the implementation checklistDownload the deployment checklist buyers use before green-lighting an industrial AI pilot.
- Talk to an engineerBring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.