Effective fault detection techniques can help flotation plant reduce reagents consumption,
increase mineral recovery, and reduce labor intensity. Traditional, online fault detection …

Froth flotation is an important mineral concentration technique. Faulty conditions in flotation
processes may cause the huge waste of mineral resources and reagents, and consequently …

In recent years, the use of machine vision systems for monitoring and control of the flotation
plants has significantly increased. The classification of froth images is a critical step in …

The key point to achieve automatic control and optimal operation in flotation process is to
recognize the flotation conditions correctly. By the fact that it's difficult to detect and identify …

The control of the froth flotation process in the mineral industry is a challenging task due to
its multiple impacting parameters. Accurate and convenient examination of the concentrate …

Computer vision-based control is a nonintrusive, cost-effective, and reliable technique for
flotation process control. It is known that deep learning features can depict the complex …

Bubble size and froth velocity are the most important froth characteristics used for evaluating
and controlling flotation systems. Bubble size is often measured using watershed and edge …

Automatic control of the flotation circuits needs online information from froth indicators, such
as froth texture, motion speed, shape, and number and size distribution of bubbles. In …

Process condition recognition is an effective way to improve the froth process performance.
In previous condition recognition algorithms based on machine vision in flotation process …

In the mining industry, accurate monitoring of the elemental composition in the flotation froth
is crucial for efficient minerals separation. The hybrid deep learning algorithms offer …