Improving Recovery and Throughput in Mineral Processing with Computer Vision

In this Solutions Exchange webinar, we discuss that mineral processing operations depend on timely and accurate data to maximize recovery, increase throughput, and maintain process stability. Yet many critical decisions still rely on manual sampling and delayed measurements that provide only a partial view of process conditions. Computer vision is changing this by turning industrial cameras into real-time sensors that continuously monitor and analyze key process variables. In this webinar, discover how AI-powered computer vision is helping mining operations gain actionable insights from flotation cells and conveyor belts. Learn how real-time measurements such as froth velocity, bubble size distribution, particle size analysis, volume estimation, and anomaly detection can improve operational visibility and support faster, more informed decision-making. The session will explore how visual data can be integrated into advanced process control strategies to optimize performance, reduce variability, and enhance recovery. Drawing on field-proven mining applications, we will discuss how computer vision is enabling a new generation of data-driven mineral processing operations.