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. 

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. 

Rail

Rail Vision Ltd

Shahar Hania

Amos Bar-Zeev

Yuval Ayalon

Mark Cleobury

Amit Klir

Zachi Bar - Yehoshua

Ofer Naveh

The Engineering and Development team at Rail Vision Ltd is responsible for designing, developing, and integrating cutting-edge obstacle detection and classification systems tailored for the railway industry. This multidisciplinary team collaborates to enhance the functionality and reliability of the company's cognitive sensor fusion technology, ensuring seamless operation across various environments and conditions. By focusing on advanced software development, algorithm validation, and system integration, they drive innovation to deliver high-quality solutions that meet customer-specific requirements while enhancing rail safety and operational efficiency.

Engineering and Development

Leadership Team

Human Resources and Recruitment

Engineering and Development

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Leadership Team

Human Resources and Recruitment