Rail Vision Secures European Patent for AI‑Based Railway Collision Avoidance System

RVSN
December 15, 2025

Rail Vision Ltd. (NASDAQ: RVSN) received a European patent on December 15 2025 for a forward‑looking, single‑ or multispectral electro‑optical imaging system that uses deep‑learning to detect obstacles on a train’s path. The patented architecture employs a convolutional neural network to map the railway track ahead of a locomotive, followed by a second CNN that scans the identified path for hazards such as switch states, obstructions, and end‑of‑rail effects, generating real‑time alarms that can support driver decisions or enable fully automated control for driverless trains.

The grant adds to Rail Vision’s growing portfolio of approvals, which already includes patents in the United States, Japan and India. The new European patent is a key milestone for the company’s strategy to retrofit modular camera‑based vision solutions onto existing rail infrastructure, positioning it to capture a share of the expanding market for AI‑driven safety systems.

Rail Vision is a development‑stage technology company that has raised $3.5 million in a private placement in January 2024 and continues to post persistent losses and negative cash flows. Its market capitalization was approximately $21.13 million as of December 15 2025. While the patent strengthens the company’s intellectual‑property base, investors remain cautious about the firm’s financial trajectory and path to profitability.

In parallel with the patent win, Rail Vision announced a planned acquisition of a 51 % stake in Quantum Transportation Ltd., a quantum‑computing and AI company. The transaction is expected to close in late December 2025 or early January 2026 and is intended to accelerate the development of quantum‑enhanced safety algorithms, further differentiating Rail Vision’s product line in a competitive market.

The patent approval is a positive development for Rail Vision’s technology roadmap, but the company’s ongoing financial challenges and modest valuation underscore the need for continued investment and execution to translate its intellectual‑property gains into sustainable revenue growth.

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