In order to further enhance the productivity of mines, it is crucial to optimize mining operations. Motion Metrics Int. Corp. offers a wide range of machine vision based products to monitor mining excavators, and to generate actionable information for the mine management board. Performance of the current Motion Metrics’ products can be improved by intelligent […]

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach […]