Cordel offers an open-data platform for storing, managing, visualizing, and intelligently analyzing railway inspection data. It integrates powerful sensing systems including LiDAR, video, and other sensors to capture high-precision data on clearances, vegetation, ballast, electrification, and grade crossings. The system helps rail operators maintain infrastructure more effectively through automated analysis and actionable insights.
Cordel is an AI & ML project. Managing, analyzing, and deriving insights from large volumes of railway inspection data efficiently. It is built as a B2B product for railway operators and infrastructure managers. It runs on the web.
Behind Cordel is Cordel. Among its 5 catalogued features are Railway Inspection, LiDAR Data Capture, and Vegetation Analysis.
Summary written by a language model from the project’s public pages.
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