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GET Loss Detection

GETVision™ Solution

Vision Based Loss Detection and Monitoring with Machine Learning and AI Insights

Bradken's GETVision™ Solution delivers actionable alerts and wear metrics that support improved onsite safety, productivity and availability of GET.

GETVision™ reduces production downtime, prevents downstream machinery issues, and improves onsite safety. The system comprises a ruggedized high-resolution camera for vision based monitoring, supported by a machine-learning AI system that delivers reliable GET Loss detection on all GET components for hydraulic shovels and excavators. GETVision™ provides alerts and point wear monitoring metrics directly to the operations team via the Dashboard installed within the vehicle cabin.
  • Point and Adaptor loss detection: Identifies and alerts partial or full loss during operation.
  • Lip Shroud loss detection: Identifies and alerts partial or full loss during operation.
  • Point wear monitoring: Monitors wear changes on Points, providing insights into optimal change-out timing and reduction of unscheduled maintenance downtime.

Improved Visibility of GET

GETVision™ is a robust system that combines a high-resolution camera with innovative machine-learning algorithms to provide reliable GET loss detection on all components. This proactive approach helps reduce production downtime, prevents downstream machinery issues, and enhances overall onsite safety. The system alerts operations teams with precise metrics, enabling swift responses to potential issues.
Proactive vision-based monitoring for precise Ground Engaging Tool insights and reliability:
  • Enhanced Monitoring
  • Proactive Maintenance
  • Improved Safety
  • Remote Visibility
  • Optimized Performance
  • Real-time Alerts
  • Data-Driven Decision Making
  • Predictive Analytics
  • Global Standardization
  • Remote Diagnostics
  • Cost-Efficient Operations
  • Integration Capabilities
  • Adaptable Technology
  • AI-Driven Insights
  • Detailed Reporting
  • 3D Wear Profiling
  • Vision-based Monitoring
  • Real-time Alerts

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