Rail Vision Received Order from a Class 1 US Railroad Company for its AI-Based Safety System

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Rail Vision Ltd. (RVSN) receives a significant order for its AI-driven Switch Yard System from a leading US freight rail company, showcasing industry trust in their innovative solutions. The system, utilizing AI, machine learning, and sensors, aims to enhance railway safety, efficiency, and reliability.
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The recent order received by Rail Vision Ltd. from a Class 1 freight rail company represents a significant validation of the company's technology in a sector that is traditionally slow to adopt new innovations. The integration of AI-driven solutions like Rail Vision's Switch Yard System can potentially revolutionize the rail industry by enhancing safety and operational efficiency. The adoption of such technologies by one of the largest freight rail companies in North America could signal a broader industry shift towards prioritizing technological advancements.

It's worth noting that the rail freight market is highly competitive and cost-sensitive. The introduction of Rail Vision's AI and machine learning technologies could offer a competitive edge by reducing downtime and improving punctuality, which are critical factors for rail operators. This move might prompt other players in the industry to follow suit, potentially leading to an increase in market demand for Rail Vision's products.

This strategic order could have a positive impact on Rail Vision Ltd.'s financial performance. The collaboration with a major freight rail company not only enhances Rail Vision's market credibility but may also lead to subsequent orders if the evaluation and testing yield successful outcomes. Investors should monitor the company's future announcements for any signs of continued adoption, as this could indicate scaling opportunities and revenue growth. However, it is essential to consider the costs associated with the development and implementation of these advanced systems and whether they align with the company's financial projections and resources.

The emphasis on safety and efficiency in Rail Vision's Switch Yard System aligns with the increasing regulatory pressures facing the rail industry. By proactively addressing safety concerns through AI-based Obstacle Detection Systems (ODS), Rail Vision is positioning itself as a leader in the field of railway safety technology. This technology could help rail companies meet and exceed safety standards, which is particularly important given the potential for severe consequences in the event of rail accidents or failures. The successful implementation of Rail Vision's technology might also influence future regulatory requirements, setting new benchmarks for safety and efficiency in the industry.

Ra’anana, Israel, March 11, 2024 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (the Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, today announced that it has received an order for its AI-driven Switch Yard System from a Class 1 freight rail company in the US.

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.

"We believe that this new order is a milestone for Rail Vision that signifies the industry's trust in our solutions to navigate the complexities of rail operations. By leveraging AI and machine learning, we aim to transform the way railways operate, enhance safety, efficiency reliability and preserve business continuity across a railway network. This is another the beginning of our journey in North America to make rail transportation safer and more efficient for everyone", commented Rail Vision CEO, Shahar Hania.

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.

About Rail Vision Ltd.

Rail Vision is a technology company that is seeking to revolutionize railway safety and the data-related market. The Company has developed cutting-edge, artificial intelligence-based, industry-leading technology specifically designed for railways. The Company has developed its railway detection and systems to save lives, increase efficiency, and dramatically reduce expenses for the railway operators. Rail Vision believes that its technology will significantly increase railway safety around the world, while creating significant benefits and adding value to everyone who relies on the train ecosystem: from passengers using trains for transportation to companies that use railways to deliver goods and services. In addition, the company believes that its technology has the potential to advance the revolutionary concept of autonomous trains into a practical reality. For more information, please visit

Forward-Looking Statements
This press release contains forward-looking statements” within the meaning of the Private Securities Litigation Reform Act and other securities laws. Words such as expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates” and similar expressions or variations of such words are intended to identify forward-looking statements. For example, the Company is using forward-looking statements when it discusses how it aims to transform the way railways operate, enhance safety, efficiency reliability and preserve business continuity across a railway network and its journey in North America to make rail transportation safer and more efficient for everyone. Forward-looking statements are not historical facts, and are based upon managements current expectations, beliefs and projections, many of which, by their nature, are inherently uncertain. Such expectations, beliefs and projections are expressed in good faith. However, there can be no assurance that managements expectations, beliefs and projections will be achieved, and actual results may differ materially from what is expressed in or indicated by the forward-looking statements. Forward-looking statements are subject to risks and uncertainties that could cause actual performance or results to differ materially from those expressed in the forward-looking statements. For a more detailed description of the risks and uncertainties affecting the Company, reference is made to the Companys reports filed from time to time with the Securities and Exchange Commission (SEC”), including, but not limited to, the risks detailed in the Companys annual report on Form 20-F filed with the SEC on March 23, 2023. Forward-looking statements speak only as of the date the statements are made. The Company assumes no obligation to update forward-looking statements to reflect actual results, subsequent events or circumstances, changes in assumptions or changes in other factors affecting forward-looking information except to the extent required by applicable securities laws. If the Company does update one or more forward-looking statements, no inference should be drawn that the Company will make additional updates with respect thereto or with respect to other forward-looking statements. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release. Rail Vision is not responsible for the contents of third-party websites.

Investor Relations
Michal Efraty

Shahar Hania
Chief Executive Officer
Rail Vision Ltd.
15 Ha'Tidhar St
Ra'anana, 4366517 Israel
Telephone: +972- 9-957-7706


What order did Rail Vision Ltd. (RVSN) receive recently?

Rail Vision received an order for its AI-driven Switch Yard System from a Class 1 freight rail company in the US.

What technology does Rail Vision's Switch Yard System utilize?

Rail Vision's system uses electro-optic sensors, AI, machine learning, and Advance Driver Assistance System (ADAS) solutions.

How does Rail Vision's Switch Yard System aim to enhance railway operations?

The system aims to overcome limited vision issues, increase punctuality, efficiency, and safety, and address critical industry issues with its innovative AI-based Obstacle Detection System (ODS).

Who commented on the recent order received by Rail Vision Ltd. (RVSN)?

Rail Vision CEO, Shahar Hania, commented on the order, emphasizing the significance of the industry's trust in their solutions.

Rail Vision Ltd.


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