Imagine having a high-tech eye in the sky that can tell exactly what minerals are in a rock pile without touching them. This system uses drones and satellites to create a 3D map of a mine, processing the data instantly while the drone is still flying. It's like having a live X-ray of the earth that helps workers make fast decisions on the ground.
Mining operators struggle with slow, manual mineral identification and the high cost of expert data interpretation. This leads to inefficient material sorting and poorly managed environmental risks at tailings sites.
A UAV system combining hyperspectral imaging, lidar, and on-board computing for real-time mineral mapping. It includes automated processing workflows that merge drone data with satellite observations.
If you are an open-pit mining operator dealing with inefficient material sorting — this project developed a drone system with on-board computing that provides real-time mineral identification. This allows for better sorting of materials during extraction and faster response times for operators.
If you are a remediation firm dealing with the risk of tailings dam failures — this project developed a multi-sensor mapping tool that monitors waste sites. It integrates satellite and drone data to manage environmental risks and ensure safe closure of inactive sites.
If you are a processor dealing with unknown mineral concentrations in old waste piles — this project developed hyperspectral imaging and 3D measurement tools. This enables the identification and extraction of valuable secondary raw materials from tailings.
Based on available project data, specific pricing or cost structures are not mentioned; the project focuses on technology validation and development.
Yes, the system is designed for site-scale monitoring using a combination of drones for detail and satellites for broad coverage, with testing conducted at 3 operational sites in Cyprus, Greece, and Australia.
Based on available project data, the IP and licensing terms are not specified, though the consortium includes 3 industry partners and 3 SMEs.
The project specifically focuses on creating data products that are integrable into existing mining software and planning structures to make them accessible to non-expert users.
The project runs from 2023-01-01 to 2025-12-31, with live demonstrations of the integrated system scheduled toward the end of this period.
The consortium is well-balanced for commercial transition, featuring 9 partners across 7 countries. With a 33% industry ratio (including 3 SMEs), there is a strong link between the 3 universities and 2 research centers and the actual market needs of mining operators.
Contact NORCE RESEARCH AS in Norway
Contact us to connect with the m4mining consortium for pilot opportunities.
