Rail Vision Ltd. (NASDAQ: RVSN, FSE: C80) announced that its AI-powered ShuntingYard system has been integrated into Railserve’s newly introduced YardGUARD industrial railyard safety system, serving as a core technology within the WatchGUARD situational awareness and obstacle detection solution. The integration follows the companies’ recently announced memorandum of understanding and combines Rail Vision’s perception technology with communications and cloud-based monitoring capabilities to provide real-time visibility, obstacle detection, synchronized alerts and automatic braking support. The ShuntingYard system is being showcased this week at Railway Interchange 2026 in Omaha, Nebraska, as part of Railserve’s broader yard safety platform.
This integration marks a significant step for Rail Vision, 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.
For industry leaders, this news underscores the growing adoption of AI-driven perception systems in rail operations. The combination of Rail Vision’s ShuntingYard system with Railserve’s YardGUARD platform creates a comprehensive safety solution that can reduce accidents, lower operational risk, and pave the way for fully autonomous railyard operations. Real-time obstacle detection and automatic braking support are critical for preventing collisions and protecting personnel, especially in complex shunting environments.
Rail Vision’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 and reduces operational risk. The company also 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.
The integration of ShuntingYard into Railserve’s platform highlights the increasing importance of situational awareness technology in industrial rail settings. With the system now being demonstrated at a major industry event, stakeholders can evaluate its potential to enhance safety and efficiency. For readers interested in further details, the full press release is available at https://ibn.fm/7wqO8. The latest news and updates relating to RVSN are available in the company’s newsroom at http://ibn.fm/RVSN.
