Leveraging Computer Vision and Machine Learning for Visual Inspection in Railway Systems

Explore innovative computer vision and machine learning solutions for visual inspection in the railway industry through this 40-minute conference talk by Ashley Varghese, Data Scientist at Canadian National Railway (CN). Gain insights into complex challenges affecting operational efficiency in railway systems, particularly for extensive networks like CN that span across North America. Discover how automated visual inspection techniques using advanced technologies can significantly reduce maintenance time and costs compared to manual inspections. Learn about the speaker's experience in developing and retraining inspection systems for rail cars as part of CN's Automated Inspection Program. Understand the potential impact of these novel solutions on improving the overall operational efficiency of railway networks.

Leveraging Novel Computer Vision and Machine Learning Solutions for Visual Inspection at CN