Rail Vision specializes in providing obstacle detection and classification systems within the railway industry. Utilizing cognitive sensor fusion technology, which integrates advanced electro-optic sensors, artificial intelligence, and deep learning, the company's systems can identify objects on and adjacent to tracks up to a distance of 2 kilometers, in real-time, and under all weather and lighting conditions. Upon detecting an obstacle, the system promptly issues visual and acoustic alerts to both the train operator and the command center.
Customized to cater to the distinct requirements of each client, Rail Vision's systems are applicable for Main Lines, Shunting Yards, and Light Rail Vehicles (LRVs) in urban settings. Moreover, the company provides a variety of optional additional features, such as Image-based Navigation, GIS Mapping, and Predictive Maintenance, which are derived from the data collected and analyzed by their systems.