Modern video and computing technologies save lives at rail crossings
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 SpaceTime 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.
Research Analyst, European Infrastructure Group
Cloud Market Development
Head of Software Industry Iniatives
It is clear from the first Nokia 5G Maturity Index that operators have plenty of ambition for 5G. However, most acknowledge they are uncertain about the actions they must take to achieve their goals.
Senior Principal Analyst, Analysys Mason
“It is clear from the first Nokia 5G Maturity Index that operators have plenty of ambition for 5G….
However, most acknowledge they are uncertain about the actions they must take to achieve their goals.”