Agents & Automation

MineSense ShovelSense

Bucket-mounted XRF sensors and ore-specific machine learning for grade-based truck routing.

Vendor documentationChecked Oct 14, 2026By AIPicksy Editorial

What it does

Bucket-mounted XRF sensors and ore-specific machine learning for grade-based truck routing.

Who it is for

Mines making ore/waste decisions at the extraction face.

What stands out

  • Grade estimates during the dig cycle
  • Fleet-management system routing
  • High-resolution orebody and stockpile information

Limitations to consider

  • Routes buckets and truck loads rather than ejecting individual particles.
  • Calibration and integration depend on the orebody and fleet.

Integrations & connections

Fleet Management Systems

Tasks it can help with

Sources & verification

This profile is based on vendor documentation, checked Oct 14, 2026. It is not a hands-on review or a performance benchmark. Unknown details are marked explicitly.

Current XRF measurement, ML, and FMS integrationGrade-control uses and supported elementsConnected conveyor measurement and downstream DCS integrationSuggest a correction

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MineSense ShovelSense: features, pricing & limitations | AIPicksy