Rail Vision Ltd. (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, recently announced its latest achievement: securing an order for its innovative AI-powered Switch Yard System from a Class 1 freight rail company in North America.

This order, previously announced, represents a significant vote of confidence in Rail Vision’s technology and a milestone in the company's expansion into the North American market, setting a new precedent for safety and efficiency in rail operations.

The freight rail company, which is one of the largest in North America, will install and use the system on its locomotive for evaluation and testing different scenarios related to safety.

Shahar Hania, CEO of Rail Vision, said: "We believe that this new order marks a significant milestone for Rail Vision emphasizing the rail industry's confidence in our innovative rail management solutions. Our commitment to leveraging artificial intelligence and machine learning aims to redefine railway operations, elevating safety, efficiency, and reliability, while ensuring uninterrupted business operations across the network. This venture in North America is just the beginning of our quest to bring new standards of safety and operational excellence in rail transportation."

Rail Vision’s Switch Yard System uses electro-optic sensors (including thermal and day sensors) combined with AI, machine learning and Advance Driver Assistance System (ADAS) solutions, to overcome limited vision issues that expand the range of sight and decrease downtime, while also increasing punctuality, efficiency, and safety. Rail Vision’s solutions address critical issues within the industry with its innovative AI-based Obstacle Detection System (ODS), which enables rail operators to navigate issues easily and swiftly, including on-track obstacles, accidents, high operational costs, lack of personnel, capacity, maintenance issues, heavy traffic on the tracks, extensive driving distances and harsh weather conditions.