Making Finland a global leader of sustainable mineral industry requires continuous improvement of expertise in mining indstry. Mineral extraction industry demands for fast, cost efficient and safe remote sensing methods. This research aims at developing active 3-dimensional hyperspectral imaging combined with multisensor positioning. These new technologies enable automatic identification and mapping of minerals as well as improving the mining safety. Compared to the state-of-the-art passive optical imaging currently used in mining industry, our technology enables (deleted) remote imaging from distances reaching hundreds of meters. We will also make use of the 3D laser scanning information to enhance and automate the identification of mineral deposits, thus allowing for efficient mining of mineral deposits that are challenging for current extraction techniques.
Efficient and Safe Identification of Minerals: Smart Real-time Methods (Kaivos)
Funding organisation or partners
Aalto University, VTT, Cybercube Oy, Robit Oyj