Rail Vision Ltd. (the “Company”), a technology company at the forefront of revolutionizing railway safety and the data-related market, recently announced the approval of its U.S. patent for a cutting-edge AI-based railway obstacle detection system by the United States Patent and Trademark Office in August. This milestone reflects Rail Vision’s unwavering commitment to advancing railway safety through revolutionary technology, poised to reshape the industry.

The newly patented system combines advanced electro-optical imaging with artificial intelligence, offering innovative protection against obstacles on and off rail tracks. Through advanced AI algorithms, including deep learning and convolutional neural networks, the system provides real-time analysis of the railway path, detecting potential hazards with unprecedented accuracy. This technology significantly enhances awareness for train drivers and operators alike, aiming to preserve business continuity by dramatically reducing collisions and improving safety for freight and passengers.

“Receiving this patent validates the innovative strength of our technology and marks a significant step forward in our mission to revolutionize railway safety,” said Shahar Hania, CEO of Rail Vision. “Our AI-powered system is designed to detect obstacles and deliver real-time actionable insights that help prevent accidents before they happen. We believe that this is more than just a safety measure; it's a transformative leap for the railway industry."

Key Features of the Patent include:

  • Advanced Electro-Optical Imaging: Utilizes single spectrum or multispectral imaging to capture comprehensive visuals of the train’s pathway and its surroundings.
  • AI-Driven Image Processing: Incorporates deep learning through convolutional neural networks to precisely determine the railway path and detect potential obstacles along and near the path
  • Enhanced Safety Measures: Aims to dramatically reduce collision risks, thereby increasing the safety of rail operations.