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 2 kilometers – in real time, as well as in all weather and light conditions.
Obstacle detection and classification
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 every 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.
Enable the Railway Industry to improve safety, operational performance and maintenance cost by using visual data
Taking rail into the future, making it safer, more efficient, reliable and sustainable using advanced sensors, AI and big data technologies.
CEO & Co-Founder
VP Sales & Marketing
Head of QA & Compliance
Founder & Director
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