Big Data Analytics. Secure Remote Connections. Machine Learning Algorithms.
These trends are now a proven reality for several industries that deal with complex capital equipment – from medical devices or semiconductors to aircraft carriers. In each case, vast amounts of data get turned into actionable, predictive service and performance insights. The end result: data-driven service techniques that allow teams to predict and prevent failure by proactively scheduling system downtime for maintenance.
What if remote monitoring and predictive maintenance could be applied to airport security systems? How could a modern airport leverage the latest advances in system analytics to enable datadriven insights and decision-making?
This white paper examines the potential – and impact – of predictive analytics specifically on explosives detection systems (EDS) in an airport environment and how these tools can improve key performance metrics.