Machine Learning AI Enters Underground Mines

Ore fragmentation assessment using machine learning AI – FRAGx (5m wide by 5.5m high block cave drawpoint) Tuesday, November 15th, 2016 When the Eastern Australian Ground Control Group  invited Principal, Penny Stewart to give a talk on machine learning applications in geotechnical engineering, Penny took the opportunity to demonstrate how machine learning AI enables fully automated ore fragmentation assessment. And, into the future could be developed to automate geotechnical inspections using 3d mapping data (digital surveying). Our FRAGxTM algorithms uses 3d mapping point cloud data (e.g. UGPSRapidMapper, 3D Laser Mapping or MVS) to automatically assess ore fragmentation in less than a minute. The algorithms have been trained to automatically remove concrete floors and shotcrete from the assessment, and are unaffected by dark, wet, dusty and humid underground mine conditions. Until now, ore fragmentation assessment required an hour of manual processing,…

Link to Full Article: Machine Learning AI Enters Underground Mines

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!