FLOTATION FROTH PARAMETER IDENTIFICATION USING COMPUTER VISION
Abstract
Flotation is one of the most widely used mineral processing methods in the mining industry. The efficiency of the flotation process largely depends on the characteristics of the froth formed on the surface of flotation cells. Accurate monitoring and analysis of flotation froth parameters play an essential role in improving mineral recovery and process stability. In recent years, computer vision technologies have become an effective tool for analyzing flotation froth characteristics automatically and in real time. This article explores the application of computer vision techniques for identifying flotation froth parameters such as
bubble size, texture, color, and mobility. The research highlights the advantages of automated monitoring systems compared to traditional manual observation methods. The integration of computer vision with modern industrial control systems can
significantly improve the efficiency and productivity of flotation processes in mining operations.
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