Rail Vision Ltd
Kfir Shimoni is an experienced R&D System Integrator and Field Test Engineer at Rail Vision Ltd since November 2021, specializing in technical support for R&D projects, prototype integration, quality control testing, and field tests execution. Prior to this role, Kfir served as a Senior Field Service Engineer at Systematics Ltd. from January 2015 to November 2021, where expertise in various 3D printers was developed alongside troubleshooting and maintenance skills at customer sites. Earlier, Kfir held the position of On-Site Technical Manager and IT at Kenes Group from 2006 to 2012 and worked as an IT Technician at Nziv.Net Hardware & Software Ltd. from 2002 to 2005.
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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.