NetherlandsLogistics and transport2026 – ongoingProRail
AI camera alerts for railway safety incidents
ProRail used AI camera alerts in its continuously staffed railway monitoring room
Problem
People entering the tracks and vehicles stopping near crossings created safety risks and service disruptions. Monitoring staff needed to identify dangerous situations quickly.
Approach
ProRail used image recognition to flag people or vehicles crossing defined boundaries or remaining in unsafe locations. The software also recognized protective clothing worn by railway workers. Monitoring-room staff reviewed alerts and contacted the railway control room when intervention was needed.
Results
No published figures
Takeaway
The AI supplied alerts within a staffed response process. ProRail's reported safety research combined camera monitoring with physical measures, so it did not isolate the effect of AI.
Categories
- Industry
- Logistics and transport
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Off-the-shelf tool or platform
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
ProRail described AI camera alerts reviewed by its continuously staffed monitoring room. Image recognition detected unsafe movements and distinguished people wearing railway work clothing.
Full details are in the original sources.
