Rail Vision Ltd. has been granted a European patent for its advanced AI-based railway collision avoidance system. The patent covers an innovative method that uses forward-looking single-spectrum or multispectral electro-optical imaging, combined with a novel system architecture and deep learning-powered scene analysis. The technology employs a unique Convolutional Neural Network (CNN) to determine the railway path ahead and a secondary CNN to detect potential obstacles in real time. The system generates critical alarms for a variety of hazards, supporting both manned and driverless train operations. This European patent adds to the company's portfolio of approvals in the United States, Japan, and India.