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RW

Rail Watch

Vossloh RailWatch develops the Pulsar Wayside Monitoring System, which utilizes high-sensitivity cameras, microphones, and sensors to collect real-time data on freight train conditions, including brake pad thickness and wheelset damage. This technology enhances predictive maintenance and optimizes logistics processes, ensuring maximum availability of rail infrastructure.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Freight trains are susceptible to component degradation, such as brake pad wear and wheelset damage, which can lead to safety risks, service disruptions, and increased maintenance costs. Traditional inspection methods are often manual, infrequent, and unable to provide real-time data on the condition of rolling stock.

Solution

Vossloh RailWatch's Pulsar Wayside Monitoring System is a technology that uses high-sensitivity cameras, microphones, and sensor technology to capture real-time data on passing freight trains. The system identifies individual railcars using UIC wagon numbers and detects a range of technical conditions, including brake pad thickness and wheelset damage. By providing comprehensive data on the condition of rolling stock, the Pulsar system enables predictive maintenance, optimizes logistics processes, and maximizes the availability of rail infrastructure.

Target Audience

The primary customers are railway operators, freight companies, and infrastructure managers seeking to improve the safety, efficiency, and reliability of their rail operations through predictive maintenance and optimized logistics.

Features

  • High-sensitivity cameras for visual inspection of train components
  • Microphone technology for acoustic monitoring of mechanical issues
  • Sensor technology for measuring key parameters related to train condition
  • Automatic identification of railcars using UIC wagon numbers
  • Real-time data acquisition and processing
  • Integration with existing maintenance management systems
This profile is AI-generated and may contain inaccuracies.