Core Viewpoint - Rail Vision Ltd. has announced a strategic acquisition to acquire 51% of Quantum Transportation Ltd., aiming to combine quantum computing capabilities with its railway safety technologies, which could create significant synergies and enhance product offerings [1][2]. Acquisition Details - The acquisition involves Rail Vision issuing ordinary shares representing approximately 4.99% of its share capital to select Quantum Transportation shareholders in exchange for their full holdings, ensuring majority control post-closing [3]. - Rail Vision will also extend a convertible loan of up to $700,000 to Quantum Transportation at an 8% annual interest rate, to support ongoing operations and development [3]. Technology and Innovation - Quantum Transportation's patented machine learning-based universal decoder addresses quantum error correction, which is crucial for scalable quantum computing, and is adaptable across various hardware platforms [4]. - The integration of this technology into Rail Vision's operations is expected to enhance capabilities in anomaly detection, predictive maintenance, and autonomous rail operations, tapping into the growing quantum computing market [4]. Transaction Timeline - The transaction is subject to the signing of definitive agreements and key milestones, with an expected closing within the next 60 days, pending regulatory approvals [5]. Company Overview - Rail Vision is a development stage technology company focused on revolutionizing railway safety and the data-related market through advanced AI technologies designed for railways, aiming to increase safety and efficiency while reducing costs for railway operators [6].

Core Viewpoint - Rail Vision Ltd. has received a Decision to Grant from the European Patent Office for a novel system aimed at enhancing railway safety through improved imaging technology [1][4]. Group 1: Patent and Technology - The patented system consists of an imaging device and a processing unit that work together to capture and analyze visual data from a train's forward-facing camera [2]. - The system allows for higher sampling rates by acquiring partial datasets from a Selected Region Of Interest (SROI) during residual time within handling cycles [2][3]. - The processing unit includes a tracking module that detects rails, calculates a safe braking line, and establishes a safe zone for early hazard detection [3]. Group 2: Company Vision and Impact - The CEO of Rail Vision emphasized that the technology will enable train operators to detect hazards sooner and improve operational efficiency, contributing to safer railway transportation [4]. - Rail Vision aims to enhance railway safety and operational efficiency globally, with the potential to advance the concept of autonomous trains [5].