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Title
CrossTech Cuts High-Risk Rail Faults 96% with Computer Vision Predictive Maintenance on Google Cloud
…n time to deploy new models and features with powerful, scalable infrastructure 96% reduction in high-risk faults on key lines with predictive maintenance built on Google Cloud CrossTech halved model development time with Google Cloud and reduced deploymen…
Description
UK startup CrossTech built Hubble, an AI computer vision platform that analyzes video captured from trains to detect hazards such as overgrown vegetation, signal obstructions and track ballast issues, running on Google Cloud's Compute Engine, Cloud Run and Vertex AI. Using Vertex AI, CrossTech halved the time to build a first model version to six weeks and cut deployment cycles by 70%. The predictive maintenance has delivered roughly £20 million in annual net maintenance efficiency for customers, reduced unplanned service interruptions by 30%, cut high-risk faults on key lines by 96%, and enabled frontline teams to remediate 6,000 faults.
…k maintenance, helping operators to keep passengers moving safely and reliably. CrossTech’s flagship product, Hubble, uses AI computer vision algorithms to analyze video data captured from trains to proactively identify potential hazards like overgrown vegetation, signal obstructions, level crossing sighting risks or track ballast issues. By enabling predictive monitoring and intelligent alerting, CrossTech helps inf…
Company
CrossTech
…r, its initial experience with a third-party cloud provider proved challenging. CrossTech Founder and Managing Director Haydon Bartlett-Tasker found the platform "clunky, complex, and painful. We were spending lots of time…
Country
United Kingdom
…to keep passengers moving safely and reliably. Industries: Transport, Utilities Location: UK Products: App Engine , Google Cloud , Cloud Run , Compute Engine , Firebase Stu…
Industry
Transportation
…s and network operators, helping to keep passengers moving safely and reliably. Industries: Transport, Utilities Location: UK Products: App Engine , Google Cloud , Cloud Run , Compute Engine ,…
Problem
Traditional rail and road infrastructure inspections are time-consuming and costly, requiring inspectors to manually inspect sections of track for safety and reliability issues; modern lidar detection systems can save time but are expensive and complex to administer.
…and innovative ways to keep their infrastructure safe, reliable, within budget. Traditional inspections are time consuming and costly, requiring inspectors to manually inspect sections of track for safety and reliability issues. Modern lidar detection systems can save time, but they’re expensive and complex…
Solution
CrossTech built Hubble, an AI computer vision platform that analyzes video data captured from trains to proactively identify hazards like overgrown vegetation, signal obstructions, level crossing sighting risks and track ballast issues, running on a containerized microservices architecture using Compute Engine and Cloud Run that auto-scales with demand, and using Vertex AI (including Vertex AI Notebooks) to speed up model development and App Engine to automate deployment.
…ection data in very short periods, CrossTech needs immense computational power. CrossTech’s microservices architecture, leveraging Cloud Run and the auto-scaling capabilities of Compute Engine, automatically scales its resource usage up and down to meet demand, meaning it only pays for what it uses. This scalability is key to enabling Cro…
Business value
CrossTech halved the time to build a first model version to six weeks using Vertex AI and cut deployment cycles by 70%; its predictive maintenance has contributed to approximately £20 million per annum in net maintenance efficiency, reduced unplanned service interruptions by 30%, cut high-risk faults on key lines by 96%, and helped frontline teams remediate 6,000 faults.
…ucture efficiently." With these predictive insights, supported by Google Cloud, CrossTech has contributed to a net maintenance efficiency of approximately £20M per annum and helped customers reduce unplanned service interruptions by 30%. Customers have also benefited from CrossTech’s predictive maintenance to reduce…
Technology
Compute Engine, Cloud Run, Vertex AI, App Engine
…ngers moving safely and reliably. Industries: Transport, Utilities Location: UK Products: App Engine , Google Cloud , Cloud Run , Compute Engine , Firebase Studio , Gemini Enterprise , Vertex AI , Vertex AI Notebooks menu Overview Solutions Products Pricing Resources Docs Support Contact us …
Deployment model
cloud
…or, CrossTech The scalable microservices infrastructure keeping passengers safe CrossTech migrated to Google Cloud in 2020 and built a sophisticated containerized microservices architecture to power its computer vision pipeline. With strict customer service level agree…
Deployment options
cloud
…or, CrossTech The scalable microservices infrastructure keeping passengers safe CrossTech migrated to Google Cloud in 2020 and built a sophisticated containerized microservices architecture to power its computer vision pipeline. With strict customer service level agree…
Use case type
Predictive operations
…ul, scalable infrastructure 96% reduction in high-risk faults on key lines with predictive maintenance built on Google Cloud CrossTech halved model development time with Google Cloud and reduced deploymen…
Headline outcome
…n time to deploy new models and features with powerful, scalable infrastructure 96% reduction in high-risk faults on key lines with predictive maintenance built on Google Cloud CrossTech halved model development time with Google Cloud and reduced deploymen…
AI capabilities
Computer Vision, Predictive Analytics
…ep passengers moving safely and reliably. CrossTech’s flagship product, Hubble, uses AI computer vision algorithms to analyze video data captured from trains to proactively identify potential hazards like overgrown vegetation, signal obs…
