Level Crossing Monitoring AI
Watch every level crossing for vehicles stopped on the tracks, drivers going around gates, pedestrians crossing on warning, and gate and light faults.

Level Crossing Monitoring AI for the Toughest Freight, Commuter, and Light Rail Grade Crossings
Deploy Anywhere, Run Everywhere
Run level crossing monitoring on crossing 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 signal engineers to public agency partners, 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.
- Vehicles Stopped on the Tracks
- Gate Drive-Arounds & Violations
- Pedestrians & Cyclists Crossing on Warning
- Gate Arm, Light & Bell Faults
- Queues Backing Up Across the Crossing
- Near-Miss Clips for Safety Reviews
“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 level crossing monitoring problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits FRA 49 CFR Part 234, MUTCD, and your crossing warning and dispatch systems
- A live demo on your own crossing camera footage
- Deployment options: edge in the crossing cabinet, on-prem, air-gapped, VPC, or on the cameras already at your crossings
- ROI modeling against crossing collisions, service delays, gate damage, and the cost of grade separation studies
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