Business details
- Website
- https://www.digitalrail.co.uk
- Business type
- UK business registered in Companies House
- Core industry
- Railways
DIGITAL RAIL LIMITED
UK registered company – number 08564033
Registered office address:
Infolab21 Lancaster University, Lancaster, LA1 4WA
DIGITAL RAIL LIMITED
Company description
Digital Rail Ltd. is a railway technology business that specializes in Computer Vision, Data Analytics and Intelligent Systems for passenger safety, assistance and security; engineering and maintenance management. We use a modern industry approach and powerful state-of-the-art tools.
We have provided significant solutions, consulting and training in the rail industry in the UK, Germany, Canada, USA and Singapore.
Our mission is to turn railway data (including camera capture) into value for clients. We can help improve passenger safety and improve system resilience and improve maintenance efficiency.
We do this by bringing to bear: computer vision; data science; digital simulation and a deep railway domain knowledge.
Our clients are safe in the knowledge that data will be secure and they will get real business benefits. We believe that our clients have untapped data and video that can be exploited to give them commercial edge in the rapidly growing, complex and commercial rail market.
Products and services
Computer Vision, Consultancy, Rail Sytems, Compliance, Training, Passenger Experience
Expertise
- Industry
- Electronics and IT hardware, Mechanical electrical and process engineering, Railways, Software and computer services
- Regional
- North East, North West, Northern Ireland, West Midlands, London, Scotland
- International
- Australia, Brazil, Germany, Saudi Arabia, Singapore, Sweden, United Kingdom, United States
- Languages
- English
DIGITAL RAIL LIMITED case studies
RailSight® – YellowLine
Our Intelligent vision system detects people on a train platform. It performs platform train interface (PTI) monitoring by detecting when a person or object is over the yellow line.
RailSight® – Accessible Stations
Our object detection system utilises the cutting edge in convolutional neural networks and deep learning to autonomously detect any passengers who might be in need of assistance.