Rail Trespass Detection AI
Detect people and vehicles on the tracks, in the right-of-way, on bridges, and at tunnel portals, day and night.

Rail Trespass Detection AI for the Toughest Freight Corridors, Transit Lines, and Station Approaches
Deploy Anywhere, Run Everywhere
Run rail trespass detection on wayside, station, bridge, and tunnel cameras and thermal cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every railroad and transit team can adopt, from police to network operations, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.
- People on Tracks & in the Right-of-Way
- Trespass on Bridges & Tunnel Portals
- Vehicles Fouling the Track
- Station End & Platform Edge Entry
- Night & Low-Light Coverage with Thermal
- Hotspot Maps for Fencing & Patrols
“Achieving positive results using AI in a lab environment is easy, but the real challenge comes when scaling the solution across a network like ours without disrupting day-to-day operations. Our partnership with Roboflow is allowing us to do just that.”
Asim Ghanchi
AVP of Technology, BNSF
Talk to a Vision AI engineer who's shipped in rail and transit.
Bring us your toughest rail trespass detection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits FRA trespass prevention programs, 49 CFR Part 225, and your dispatch and security systems
- A live demo on your own wayside or station camera footage
- Deployment options: edge at the wayside, on-prem, air-gapped, VPC, or on visible and thermal cameras along the corridor
- ROI modeling against trespass strikes, service delays, crew trauma, and patrol and fencing costs
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality