Entering a New Era With Deep Learning in Ore Sorting

Objectives

Artificial Intelligence has been grabbing the headlines since ChatGPT burst onto the scene, giving rise to sensational news stories. However, AI has been around for a long time, working quietly behind the scenes. The ability of computer systems to mimic human thought and decision-making to perform tasks that traditionally required human intelligence has played an important role in TOMRA’s sensor-based sorting solutions for decades, automating the process and improving the accuracy and efficiency of the sorters, unlocking value for mining operations.

TOMRA Mining’s experience with AI dates back to 1993, when its predecessor CommoDaS developed sensor-based sorters using AI in their image processing systems to identify particle properties. Over the years, sensor-based sorting technology has developed, and TOMRA has been using Machine Learning in its X-Ray Transmission (XRT) and Near-Infrared (NIR) sorters for the last 10 years.

TOMRA Mining's latest innovation: CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By analyzing X-Ray imagery in real time, it identifies visual patterns that traditional sorting systems miss, giving operators precise control to optimize sorting to their specific needs.

In this webinar we will take a closer look at this new innovation, as well as see some practical examples of tests and customers already utilizing this technology. This event is also an opportunity for you to ask any questions you might have about the feature.