Case Study: PANTOhealth Achieves Sub-10-Centimeter Rail Maintenance Accuracy with Swift Navigation's Skylark

A Swift Navigation Case Study

Preview of the PANTOhealth Case Study

PANTOhealth Improves Accuracy and Efficiency of Predictive Rail Maintenance With Skylark

PANTOhealth, a provider of predictive maintenance solutions for the German railway market, faced the inherent challenge of accurately locating defects across vast railway networks. Standard GNSS accuracy was insufficient for pinpointing problem areas, which is critical for effective repairs. To solve this, they partnered with vendor Swift Navigation and implemented its Skylark Precise Positioning Service.

By using Swift's Skylark service, PANTOhealth improved location accuracy to below 10 centimeters. This high level of precision enabled them to reliably record and distinguish between problematic data points, substantially enhancing the classification of their predictive maintenance data. This breakthrough made predictive maintenance of railway infrastructure possible, saving invaluable time and resources for their clients.


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PANTOhealth

Morteza Nokhodian

Chief Technology Officer


Swift Navigation

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