Core Insights - Rail Vision Ltd. has been granted a European patent for its innovative railway collision avoidance method and system, enhancing its global intellectual property protection strategy [1][4] - The patented technology utilizes advanced electro-optical imaging and deep learning to detect potential obstacles in real time, significantly improving railway safety [2][3] - The company aims to revolutionize railway operations through AI and big data, with a focus on increasing safety and efficiency while reducing costs for railway operators [5] Technology Overview - The patented system employs a forward-looking single-spectrum or multispectral imaging approach, combined with a unique Convolutional Neural Network (CNN) for railway path determination [2] - A secondary CNN analyzes the vicinity of the identified path to detect hazards such as obstructions and impending end-of-rail effects [3] - The technology provides critical alarms for various hazards, supporting both manned and fully automated train operations [3] Strategic Positioning - The patent reinforces Rail Vision's position as an innovator in the railway sector, building on previous approvals in the United States, Japan, and India [1][4] - The company believes its technology will not only enhance safety but also facilitate the development of autonomous trains, creating significant value for the entire train ecosystem [5]