The possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was verified on the sulfide flotation froth. As result, mathematical correlations for air flow rate, mean bubble diameter and surface area bubble flux were established.

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The paper describes the method of searching for objects on aerial photographs using neural networks, as well as an algorithm that allows postprocessing of data obtained as a result of the operation of neural networks. The problem of searching for aircraft in images is considered. (In Russian).