Developing advanced ore sorting sensing systems for gold deposits

This research focuses on novel sensor-based algorithms for sorting rocks and categorizing them as good (valuable) and bad (worthless) rocks. The sensors in the sorter will see the rocks characteristics, whether its their color or atomic density or the desired element and send a command to a mechanical arm, for example, to separate the two types of rock from each other. This technique minimizes the amount of material (by removing worthless rocks) that is sent to the downstream processing units therefore saving the mine a lot of operating cost and will keep mining sustainable and environmentally friendly.

Faculty Supervisor:

Bern Klein

Student:

Arvin Mazhar

Partner:

Goldcorp Inc.

Discipline:

Engineering

Sector:

Mining and quarrying

University:

University of British Columbia