Download the Application Note to discover:
How to enhance rail crossing safety and operation with technology
The use of computer vision for automated detection of anomalies
The role of machine learning in identifying anomalies
How modern applications support future forensic analytics
While technology has surged ahead over the past decade, it has not been exploited to improve safety at rail crossings, which continue to cause hundreds of deaths and injuries each year. Developments in cameras, data models, machine learning and edge-cloud computing platforms make it possible to analyze live video and provide actionable real-time data from rail crossings. This application note explains how railway operators can use Nokia scene analytics to improve operations and safety. It leverages the latest in computer-vision technologies and machine-learning techniques, creates a model from camera data to effectively “learn” what normal is and then proactively alert operators to anomalies in real-time.
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