Title
Hitachi uses AI on Databricks to detect railway overhead line defects from onboard train video in near real-time
Accelerating the future of railways with AI | Databricks Skip to main content Login Why Databricks Discover For App Develop…
Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.
Title
Hitachi uses AI on Databricks to detect railway overhead line defects from onboard train video in near real-time
Accelerating the future of railways with AI | Databricks Skip to main content Login Why Databricks Discover For App Develop…
Description
Hitachi installed cameras on trains to capture video of 40,000 km of overhead rail lines and built an AI pipeline on Databricks Lakehouse, using Delta Lake for storage and MLflow for model management, to analyze the footage and alert rail network operators to defects or displacement in near real-time, enabling predictive rather than reactive maintenance.
…. Now the company was generating a huge volume of video data from their trains, capturing images from a total of 40,000 km of overhead lines — the distance equal to one lap around the world! — that they’d have to analyze…
Company
Hitachi
…a lifeline for economies’ efficient and reliable movement of people and goods. Hitachi embodies this mission with innovative railway solutions that contribute to an efficient rail infrastructure and an enhanced passenger experience. But one of the big challenges with railways is maintaining infrastructure. Moni…
Industry
Manufacturing
…or Hitachi’s customers, and many more happy passengers. Share this post Details Industry : Manufacturing Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for fre…
Problem
Monitoring and tracking potential overhead-line issues was traditionally a manual task: network operators walked the tracks, visually inspected lines from moving trains, or relied on infrequent measurement trains limited to detecting certain issue types. Any overhead line break caused delays and costly unplanned disruptions.
…ructure running smoothly is a costly and labor-intensive endeavor. In the past, network operators would have to manually maintain infrastructure by walking the tracks to inspect overhead lines on foot, monitoring it from the window of a moving train to visually inspect potential…
Solution
Hitachi installed cameras on trains and uploaded the video to the cloud, building an end-to-end AI pipeline on Databricks Lakehouse. It uses Delta Lake for data storage and pipelines, MLflow for model management, training, deployment and experiment tracking, and Databricks SQL for monitoring dashboards, analyzing footage from 40,000 km of overhead lines to generate near-real-time alerts on defects or displacement.
…heir trains and rail connecting equipment, although it faced another challenge. Hitachi built an end-to-end solution by installing cameras on trains and uploading the videos to the cloud. Now the company was generating a huge volume of video data from their trains, c…
Business value
Databricks Lakehouse sped up Hitachi's time to market for new ML models and improved the efficiency of its data engineers and scientists, letting a smaller, more flexible team create innovations benefiting thousands of customers daily. Hitachi has discovered thousands of equipment risks and line displacements that clients could fix proactively, with the net result estimated at millions of pounds in savings for Hitachi's customers, turning a days-long manual process into a near-real-time, remote one.
…risks and line displacements that could be fixed proactively by their clients. The net result is estimated to be millions of pounds in savings for Hitachi’s customers, and many more happy passengers. Share this post Details Industry : Manufacturi…
AI capabilities
Computer Vision, Predictive Analytics
…ansportation while ensuring rail network owners’ infrastructure remains safe by using AI to identify potential issues in near real-time and alert operators and railway workers. Not only has Databricks Lakehouse helped Hitachi save their customers signific…
Technology
Databricks, Delta Lake, MLflow, Databricks SQL
…appy passengers. Share this post Details Industry : Manufacturing Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment options
cloud
…nd many more happy passengers. Share this post Details Industry : Manufacturing Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for free Learn more a…
Deployment model
Cloud
…nd many more happy passengers. Share this post Details Industry : Manufacturing Cloud : Azure Product : Delta Lake Ready to get started? Try Databricks for free Learn more a…
Headline outcome
…risks and line displacements that could be fixed proactively by their clients. The net result is estimated to be millions of pounds in savings for Hitachi’s customers, and many more happy passengers. Share this post Details Industry : Manufacturi…
Use case type
Visual inspection
…ansportation while ensuring rail network owners’ infrastructure remains safe by using AI to identify potential issues in near real-time and alert operators and railway workers. Not only has Databricks Lakehouse helped Hitachi save their customers signific…