Hifi Engineering Inc.

Published purpose

Success of the HDS™ technology in the pipeline sector has sparked interest in other resource industries, notably global mining entities interested in its use for monitoring of long-run conveyor systems. This project aims to develop the capability for autonomous identification of faulty conveyor components (idlers) through use of advanced machine learning (ML) algorithms to improve operating efficiencies and preclude the need for high-risk conveyor maintenance activities. The mining application presents several novel challenges including the nature of key events, ambient environment, and required spatial resolution and this project focuses on the R&D required to understand and overcome these challenges en route to a commercial solution.