Guide
Track Trespass Detection Using Existing CCTV
- Author
- DHI Safety OperationsEdge AI ArchitectureReviewed by DHI Engineering
- Published
- 2026-07-02
- Read time
- 9 min read
- Updated
- 2026-07-02
Who this is for
For rail, transit, and station operations teams evaluating track trespass alerts on current camera infrastructure.
The buyer question
Can existing CCTV see enough of the rail envelope to support trespass detection?
Map the rail envelope
The first step is drawing the actual danger zone in each camera view. The model should understand the trackbed, platform edge, tunnel mouth, or right-of-way boundary.
Route to the control-room workflow
A useful event should include camera, platform, track, zone, and urgency so operators can slow movement, dispatch staff, trigger PA, or escalate.
Separate nuisance events
Maintenance crews, wildlife, wind, debris, and passing trains should be reviewed separately from confirmed human occupancy.
How to use this with DHI
Use this page as a pre-pilot checklist. Pick one zone, one event type, one alert owner, and one review cadence. If the current cameras cannot support the workflow, fix the camera plan before expanding the deployment.
Continue exploring.
- Use CaseTrack trespass detectionReview the use case.
- PlatformPlatform architectureReview how DHI runs local inference and routes safety events.
- PricingPricing and pilot scopeSee what changes pilot and rollout scope.
- ContactBook a pilot conversationScope one camera zone, one event class, and one response path.
Validate "track trespass detection using existing cctv" on your live feeds.
Coordinate a 30-day architecture review and live camera validation based on the protocol described in "track trespass detection using existing cctv" for your facility.
Best follow-up: bring the current workflow that "Track Trespass Detection Using Existing CCTV" is supposed to improve.
- 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.