Case Studies

AI Platform Safety Monitor

AI Platform Safety Monitor

26 Jun 2026

Edge AI and IoT systems for platform doors, passenger safety, crowd-flow monitoring, and foreign-object detection.

Overview
  • A Train station safety
  • using platform screen doors and AI-powered vision systems
  • preventing accidents and improves real-time monitoring of platform activity
Challenges

The main challenges were

  • Stations must prevent passenger falls
  • trespassing
  • medical emergencies
  • crowd congestion
  • foreign objects or debris on the tracks
  • the equipment running that detection has to tolerate vibration from passing trains as well as both indoor and outdoor platform conditions depending on the station
Objectives

The system needed to

  • Improve platform safety
  • automate incident detection
  • monitor passenger flow
  • support reliable edge deployment in station environments that see continuous train traffic
Solution Delivered

The solution included

  • Compact fanless edge systems were deployed to support platform screen doors and the AI vision systems watching the platform edge, chosen specifically for vibration endurance since the equipment sits close to passing trains all day
  • Two device classes handled the job: a small-footprint edge computer for platform-door integration points, and a more capable edge AI system with wireless and flexible I/O for the vision-analytics side, giving the station both the door-control reliability and the crowd/incident detection capability it needed from the same hardware family

Products referenced in the source material include

Conclusion

Smart Automation increases public safety on Train Stations

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