RailVision leads the worldwide railway market with advanced obstacle detection and collision avoidance solutions and operates in the Israeli start-up ecosystem.
The company’s breakthrough technology is revolutionizing the rail industry by combining advanced imaging with deep learning scene analysis, obstacle detection, infrastructure condition monitoring and real-time data management.
Safety – Long range, accurate and robust obstacle detection, classification and alerts
Security (HLS) – Real-time, day/night, wide coverage visualization of variety of security threats
Condition monitoring – Measuring and analyzing infrastructure changes and predicting major defects
Big Data – Recording and analyzing vast railway data and compiling behavioral and environmental trends
Real-time Information24/7 data collection
Condition MonitoringMinimizing down time
Security and SafetyLife saving while reducing risk of railway accidents and damages
Technology and solutions for long range, day/night, all weather rail visualization and obstacle detection, incorporating state-of-the-art multi-spectral (visible and infrared) imaging, image fusion and dynamic scene analysis using real time deep-learning. The solution also provides condition monitoring for predictive maintenance of railway infrastructure and offline big data analysis with rapid response.
Main Line: Designed for open field rail applications, the Rail Obstacle Detection System (RODS) provides day/night, all weather, long-range visualization, automated obstacle detection and diverse scene analysis capabilities.
Switch Yard: Designed for switch yard applications, the Remote Rail Driver Assistant System (RRDAS) provides day/night, all weather, medium range, remote control driver assistance using advanced visualization, automated obstacle detection and specific scene analysis functions designed for switch yard requirements.
As innovators, we are envisioning and aiming for the future of rail transportation, namely autonomous trains.
The first generation main line and switch yard systems are designed as building blocks and as underlying technologies for future autonomous train operations, replacing the need for driver-oriented visualization.