Rail Vision Secures European Patent For AI-Powered Railway Collision Avoidance System

The patent reinforces Rail Vision's global IP protection building on previous approvals in regions including the United States, Japan, and India

Ra'anana, Israel, Dec. 15, 2025 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (NASDAQ:RVSN) ("Rail Vision" or the "Company"), an early commercialization stage technology company seeking to revolutionize railway safety and the data-related market, today announced that the European Patent Office has granted a patent for its innovative railway collision avoidance method and system.

This newly granted European patent covers an innovative approach utilizing forward-looking single-spectrum or multispectral electro-optical imaging, combined with a novel system architecture and advanced scene analysis powered by deep learning. The technology employs a unique Convolutional Neural Network (CNN) process to first accurately determine the railway path ahead of the locomotive or train. A secondary object detection CNN then analyses the vicinity of the identified path to detect potential obstacles in real time.

The system generates critical alarms for a wide range of hazards, including railway switch occurrences and states, obstructions, impending end-of-rail effects and various types of obstacles. The patented technology delivers advanced scene understanding, providing essential decision support for locomotive drivers in manned operations and enabling fully automated decision-making for driverless trains.

The patent reinforces Rail Vision's global IP protection strategy, building on previous approvals in regions including the United States, Japan, and India. It further solidifies the company's position as an innovator in transforming railway operations with AI, big data, and advanced sensor technologies.