AI-Powered Solutions for the Railroad Industry
Railroad Industry Solutions
With NLP Logix, Artificial Intelligence plays a leading role in modern railroading by using applications like Computer Vision, Machine Learning, and Predictive Analytics to improve reliability and performance while reducing human effort.
Automation to Reduce Human Effort
Utilizing NLP Logix’s solutions, train maintenance can become semi-automated.
Improper cotter pin connections can be detected using lidar images taken with a drone flying over the hump yard, saving many man hours over manually checking connections.
Track cameras can be utilized to identify missing tank caps, engaged brake pistons, damaged rail cars, and more.
Track Inspections with Computer Vision
Using forward facing cameras on a locomotive, video footage of a track can be captured and analyzed. NLP Logix’s AI-powered solution can then utilize computer vision algorithms to identify the presence (or absence) of mandatory signage in known locations. This process allows for daily review of all track miles, and only requires human intervention when a potential missing sign is identified.
A similar model can be constructed for other track maintenance issues that can be visually identified.
Computer vision detecting properly/improperly placed signage
Predictive Analytics
Machine Learning models can be used to identify insights from onboard system data, such as sensor data.
One such application involves determining the predicted fuel burn based on the condition of the train, the track, the forecasted weather, any current maintenance issues, the train’s load, and factoring in other trains in the area. These ML models can be used for prediction alone or in combination with advanced analytics to allow further analysis.