Machine learning applied to drilling in open pit mines

The project involves identifying changes in mineralization during the drilling of the blast holes. During drilling, an experienced driller is able, to a certain extent, to detect signals that indicate that a zone change is occurring: vibration in the cabin, rotation rate, etc.

Feature extraction using 3D data acquired with a mobile scanning system designed for underground mining

The uGPS Rapid Mapper™ is a laser system mounted on a mining vehicle which acquires 3D images of tunnels in underground mines. Currently, engineers use the images for mine design and operations. This research project will create two new applications for the images acquired by the system: mapping of the geology of the tunnel walls (identifying different rock types, minerals veins and fractures) and making a tally of man-made objects (such as rock bolts, pipes and ventilation tubes).