Case Study: mtrail achieves up to 100% faster rail data collection with Ultralytics YOLO

Mtrail cuts rail data collection time by up to 100% with Ultralytics

Mtrail, a company supporting railway and infrastructure operators, faced the challenge of manually collecting essential train formation data. This process was slow, error-prone, and posed a significant safety risk to workers who had to record details in an active track environment. To solve this, they turned to Ultralytics to build an automated solution.

Using Ultralytics YOLO for object detection, Mtrail developed the TrainVision system. This AI-powered tool automates the recognition of rail-specific data, cutting data collection time by up to 100% and reducing errors by over 90% compared to manual entry. The solution from Ultralytics also significantly improved personnel safety by removing the need for distracting manual work near tracks.

Mtrail