Rail Vision Ltd
Avram Levitter is a Software Engineer at Rail Vision Ltd since November 2021, with prior experience as a Software Engineer Intern at Red Hat, where responsibilities included maintaining and testing components of the open source cloud infrastructure framework Kubernetes/Openshift using Go, Bash, and Python. Previous to this role, Avram served as a Monitoring Engineer in the Israel Defense Forces, collaborating with software teams to develop monitoring solutions and troubleshooting software and network configurations. Avram holds a Bachelor's degree in Applied Mathematics from Bar-Ilan University, completed in July 2022.
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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.