Rail Vision Ltd
Eliran Eliasi holds a Master's degree in Near and Middle Eastern Studies from Ben-Gurion University of the Negev and has established a diverse professional portfolio. Since December 2019, Eliran has been working at Rail Vision Ltd, focusing on algorithm validation, software development, data analysis, and image segmentation. Eliran has also operated as a freelance video editor since February 2017, along with previous roles as a video editor at Endemol Shine Israel and a lecturer at Sapir College.
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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.