Rail Vision Completes MainLine System Proof of Concept in India

Rail Vision Ltd. (NASDAQ: RVSN) announced the successful completion of a proof of concept demonstration of its AI-integrated MainLine railway safety system in India. The two-month evaluation was conducted under real-world operating conditions with a major local rail operator in collaboration with Sujan Industries. The trial assessed real-time object detection and classification, operational stability, and performance across varying environmental conditions. The customer provided positive feedback and indicated the system is suitable for further evaluation and potential controlled deployment across the Indian railway network.

Rail Vision 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. The latest news and updates relating to RVSN are available in the company's newsroom at https://ibn.fm/RVSN.

This demonstration in India represents a significant milestone for Rail Vision as it seeks to establish its technology in one of the world's largest railway networks. The Indian railway system operates thousands of trains daily across vast distances, making safety systems that can function reliably in diverse environmental conditions particularly valuable. The successful proof of concept suggests the MainLine system can handle the operational challenges presented by India's railway infrastructure, which includes varying terrain, weather conditions, and traffic densities.

The potential deployment of Rail Vision's technology across the Indian railway network could have substantial implications for railway safety and efficiency in a country where rail transport serves millions of passengers daily. The system's ability to detect and classify obstacles in real-time addresses a critical safety concern, while its operational stability across different conditions suggests it could be adapted to various railway environments. The positive customer feedback following the two-month evaluation indicates the technology has met key performance criteria under actual operating conditions, positioning it for further consideration in what could become a significant market for railway safety technology.