About

Who We Are

Rail Vision is the leading provider of obstacle detection & classification systems in the railway industry. With the company’s  unique cognitive sensor fusion technology, based on advanced electro-optic sensors, artificial intelligence and deep learning, Rail Vision systems detect objects on and along the tracks from a distance of up to 2km – in real time, as well as in all weather and light conditions. 

Obstacle detection and classification

Rail Vision technology

When an obstacle is detected, the system sends visual and acoustic alerts in real-time to both the driver and the command-and-control center. Tailormade to meet the customer’s specific needs, the systems are available for Main Lines and Shunting Yards, as well as Light Rail Vehicles (LRVs) operating in urban environments. In addition, Rail Vision offers a range of optional complementary features based on collected and analyzed data: image-based navigation, GIS mapping and predictive maintenance. 

Together with our partner Knorr-Bremse, a world-leading manufacturer of braking systems for rail and commercial vehicles, Rail Vision is able to provide you local services shortening our response time. 

Mission

Taking rail into the future, making it safer and more efficient, reliable and sustainable using advanced sensors, AI and big data technologies.

Management

Board of Directors

We’d love to hear from you, here’s how you can reach us…

To download the file please fill out the form

We’d love to hear from you.
Here’s how you can reach us..

* All fields above mandatory

We use cookies to ensure that we give you the best experience on this website. If you continue without changing your settings, we’ll assume that you are happy to receive all on the Rail VisionTM website. However, if you would like, you can change your cookie settings at any time. To find out more about how we use this information, see our Privacy Policy.

Thank you for your interest in our product offering, a mail with your requested information will be sent to you shortly.

Rail Vision Team