Rail Vision receives first order for Assisted Vision system

  • May 28, 2020
  • William Payne

A major European rail operator has placed the first commercial order for an Assisted Remote Shunting prototyping system with Rail Vision. Combining Deep Learning AI and Assisted Vision, the Rail Vision system improves safety and speed of rail shunting operations. The order for the prototype system is EUR 500,000.

Rail Vision is based in Israel, and is an affiliate of automotive vision technology specialist Foresight.

In addition to the delivery of an Assistant Remote Shunting prototype system, the order includes an Operational Functional Test (OFT). The OFT of the system is scheduled for Q4 2020.

A commercial agreement with the leading European train operator detailing future phases is expected to be signed in the upcoming weeks. A successful testing of Rail Vision’s Assisted Remote Shunting prototype could entail the purchase of approximately 30 shunting yard systems for an additional EUR 2.5 million.

The European train operator may also choose to exercise its option to purchase an additional 45 shunting yard systems for a total value of EUR 3.5 million.

Rail Vision’s shunting yard solution monitors the shunting yard for any obstacle. It safeguards and streamlines shunting operations, such as performing checks and maintenance for railcars and locomotives.

The system combines vision sensors with deep learning technologies.  It can automatically detect and classify objects within a 200 metre range at all times of day and in all weather conditions.

The solution delivers visual warnings to operators or drivers based on customer needs to ensure a safe and secure environment, while also improving operational efficiency.

Rail Vision is a provider of cognitive vision sensor technology and safety systems for the railway industry. Rail Vision’s solutions offer detection and classification of objects or obstacles, such as humans, vehicles, and signals.  It also performs rail path recognition, such as switch state detection), as well as distance measurement and opportunity infrastructure condition monitoring.