Rail Vision Ltd
Omri Bohadana is a skilled Multidisciplinary System Engineer at Rail Vision Ltd, specializing in innovative solutions for railway obstacle detection and collision avoidance systems. With experience in the end-to-end development process, Omri excels in specifications, integration, and field testing. Previous roles include R&D Mechanical Engineer, focusing on mechanical design, finite element analysis, and optomechanical systems, as well as a Mechanical Engineer at Doona, where expertise in plastic injection molding components was demonstrated. Omri also served as a SOLIDWORKS Application Engineer at Systematics Ltd. Solutions at work., providing technical support and training for mechanical designers. Additional experience includes involvement in a physiotherapy and mechanical engineering inventions program and working as a specialist for various government entities. Education includes a Bachelor of Science degree in Mechanical Engineering from Tel Aviv University.
This person is not in any offices
Rail Vision Ltd
Rail Vision is the leading provider of obstacle detection & classification systems in the railway industry. With the company’s unique cognitive sensor fusion technology, based on advanced electro-optic sensors, artificial intelligence and deep learning, Rail Vision systems detect objects on and along the tracks from a distance of up to 2 kilometers – in real time, as well as in all weather and light conditions. When an obstacle is detected, the system sends visual and acoustic alerts in real-time to both the driver and the command-and-control center. Tailormade to meet every customer’s specific needs, the systems are available for Main Lines and Shunting Yards, as well as Light Rail Vehicles (LRVs) operating in urban environments. In addition, Rail Vision offers a range of optional complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance.