New underground mining precision performance software, which uses machine learning to refine and enhance loading and haulage processes, is included in the latest version of Pitram.
Using the processes of computer vision and deep machine learning, on-board cameras are placed on loaders to track variables such as loading time, hauling time, dumping time and travelling empty time. The video feed is processed on the Pitram vehicle computer edge device, the extracted information is then transferred to Pitram servers for processing and analyses.
The solution intelligently considers the information gathered to pinpoint areas of potential improvement that could bolster machinery efficiency and safety. By capturing images and information via video cameras and analyzing that information via comprehensive data models, mine managers can make adjustments to optimize performance and efficiency.
It also provides underground mine managers with increased business knowledge, so they have more control over loading and hauling processes and can make more informed decisions which, in turn, improves safety in underground mining environments. This can contribute significantly to the overall optimisation of underground mines.