Real-time ore grade sensing and AI routing at the mine face
What it does
MineSense provides a hardware and software system that uses XRF-based sensors mounted on shovels and conveyors to characterize and grade ore in real time at the bucket level, enabling precise ore-vs-waste routing decisions. Proprietary machine learning algorithms process sensor data and deliver results through the MineSense Data Portal, connecting pit grade data to concentrator operations. The platform is deployed at major copper operations globally, including sites in Peru, Chile, and British Columbia.
✓ Best for
Open-pit and underground mining operations seeking to reduce ore dilution and improve metal recovery through real-time grade control
Capabilities
XRF-based ShovelSense real-time ore grade measurement per bucketBeltSense conveyor-based ore characterizationMachine learning algorithms for ore grade prediction and routingMineSense Data Portal for real-time operational dashboardsMine to Mill integration connecting pit grade to concentrator blending