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Rail Vision Introduces TrackScout and YardFlow Flex as New Brand Names for its Mainline and Switchyard Solutions

Rail Vision renames its mainline and yard safety systems as TrackScout and YardFlow Flex, expanding AI-based hazard detection across rail operations.

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Rail Vision (RVSN) has rebranded its existing railway safety products, renaming MainLine as TrackScout and ShuntingYard as YardFlow Flex.

TrackScout is a long-range AI perception system for mainline freight and passenger rail networks. It uses multi-spectral electro-optical sensors and deep learning to detect and classify hazards in real time at distances of up to 2,000 meters (1.2 miles), including anomaly and switch-state detection, and provides visual and acoustic alerts. Its modular design is intended to support fast retrofit across diverse locomotive fleets.

YardFlow Flex targets freight and industrial yards, detecting on-track and near-track hazards at up to 200 meters (650 feet) and supporting switch-state, anomaly, and sideswipe detection for rolling stock past the foul line. Both solutions integrate with Rail Vision’s operational intelligence platform, which applies big data analytics, real-time tracking, and continuous event recording.

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Key Figures

TrackScout detection range: up to 2,000 meters (1.2 miles) YardFlow Flex detection range: up to 200 meters (650 feet)
TrackScout detection range
up to 2,000 meters (1.2 miles)
Mainline perception system
YardFlow Flex detection range
up to 200 meters (650 feet)
Industrial and freight yard perception system

Historical Context

3 past events · Latest: Aug 26
3 events
  1. Aug 26

    Commercial momentum update

    24h Move
    -7.4%

    ShuntingYard systems drove first-half revenue growth and advanced customer commercialization

  2. Jun 03

    Yard system integration

    24h Move
    -3.4%

    ShuntingYard technology integrated into Railserve's commercially launched YardGUARD system

  3. Jun 24

    Field testing update

    24h Move
    +3.2%

    ShuntingYard field testing completed with Israel Railways after MainLine deployments

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

electro-optical sensors, deep learning algorithms, anomaly detection
3 terms
electro-optical sensors technical
"Powered by multi-spectral electro-optical sensors and proprietary deep learning algorithms"
Electro-optical sensors are devices that detect light or other optical signals and convert them into electrical data, like a camera turning a scene into digital information. Investors care because these sensors are core components in products from smartphones and medical scanners to drones and self-driving cars, so demand, production capacity, cost, and technological improvements directly affect companies’ revenues, margins, and competitive position.
deep learning algorithms technical
"multi-spectral electro-optical sensors and proprietary deep learning algorithms"
Deep learning algorithms are computer programs that learn to recognize patterns by processing data through many layers of simple mathematical units, loosely inspired by how networks of brain cells work. They matter to investors because they power automated analysis, forecasting, and decision tools across industries—like a multi-step filter that turns raw data into actionable signals—affecting companies' products, costs and competitive positions.
anomaly detection technical
"The system features anomaly detection for unclassified hazards"
Anomaly detection is software that looks for patterns or datapoints that don’t fit expected behavior, like a smoke detector spotting an unusual signal in a room. For investors it flags unexpected events — sudden trading spikes, accounting irregularities, unusual customer behavior or operational problems — providing early warning of risk or opportunity so decisions can be made before small problems become big losses.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Ra’anana, Israel, Sept. 09, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN, FSE:C80) (“Rail Vision” or the “Company”), an early commercialization stage technology company transforming railway safety through advanced AI-integrated sensing systems, today announced new branding for its existing MainLine and ShuntingYard products, which will now be marketed as TrackScout and YardFlow Flex, respectively. With the updated TrackScout and YardFlow Flex branding, Rail Vision offers AI-powered perception solutions tailored to two distinct operating environments: mainline freight and passenger rail networks and complex industrial and freight yard operations.

TrackScout – Advanced AI Perception for Mainline Rail

TrackScout (formerly MainLine) is Rail Vision’s long-range AI perception system for mainline freight and passenger rail networks. Powered by multi-spectral electro-optical sensors and proprietary deep learning algorithms, the system detects and classifies hazards in real time at an extended visual range of up to 2,000 meters (1.2 miles), giving drivers critical reaction time to prevent incidents, maximize uptime, and maintain continuous operations, even under challenging weather and visibility.

The system features anomaly detection for unclassified hazards and industry-first switch-state detection, delivering clear real-time visual and acoustic alerts. Designed with a modular structure, TrackScout enables quick, simple retrofit across diverse locomotive fleets.

YardFlow Flex – AI-Powered Perception for Challenging Yard Environments

YardFlow Flex (formerly ShuntingYard) is Rail Vision’s AI-powered perception system for freight and industrial yards across locomotives and railcar movers operating in challenging yard environments. The system detects on-track and near-track hazards at distances of up to 200 meters (650 feet), including poor weather and low visibility. Key capabilities include switch-state detection, anomaly detection and sideswipe detection for rolling stock past the foul line. The system is built with a robust, modular design for seamless installation across diverse switching fleets.

TrackScout and YardFlow Flex are complemented by Rail Vision’s operational intelligence platform which uses big data analytics, real-time tracking, and continuous event recording to deliver actionable insights that maximize safety and efficiency across the entire fleet.

About Rail Vision Ltd.

Rail Vision (Nasdaq: RVSN, FSE: C80) is an early commercialization stage technology company transforming railway safety through advanced AI-integrated sensing systems. The Company develops and commercializes proprietary, multi-spectral electro-optic platforms that provide extended-range situational awareness and real-time hazard detection. Using machine learning algorithms to identify and classify obstacles, Rail Vision’s technology enhances safety, improves operational efficiency, and supports continuity across deployments.

The Company’s cloud-based platform complements its products by transforming railway operational data into actionable insights that help optimize performance, reduce downtime, and improve safety. As the Company expands its global footprint, it delivers AI-driven perception that supports safer operations, reduces operational risk, and enables the transition to fully autonomous operations.

Rail Vision holds a 51% stake in Quantum Transportation, which has an exclusive sub-license for rail technologies under an innovative pending patent in quantum error correction owned by Ramot, the technology transfer company of Tel Aviv University.

For more information, please visit https://www.railvision.io/

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 the expected capabilities, performance and benefits of TrackScout, YardFlow Flex and its operational intelligence platform, the potential of these solutions to support railway safety and operational efficiency, and the Company's plans for the commercialization, deployment and marketing of its product portfolio. Such expectations, beliefs and projections are expressed in good faith. However, there can be no assurance that management’s 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 Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Company’s annual report on Form 20-F for the fiscal year ended December 31, 2025, filed with the SEC on March 31, 2026. 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
investors@railvision.io


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