A method and system for detecting impurities in a tobacco leaf assembly line

Abstract

The invention discloses a method and system for detecting impurities in a tobacco leaf assembly line, belonging to the field of industrial automation. The detection method includes that the image acquisition device captures the image of the assembly line and transmits it to the image processing device, the image processing device recognizes the position and size of the sundries on the image, and the image processing device converts the position coordinates of the sundries on the image of the image acquisition device into an image output device The coordinates and dimensions of the image; the image processing device generates an image that identifies the debris area, and transmits it to the image output device; the image output device displays the image in a manner visible to human eyes. The invention calculates the position and size of impurities in the image through a neural network algorithm of machine learning, and marks the impurities on the assembly line with visible light markers in a projection mode, so as to remind the staff to remove the impurities.

Description

technical field [0001] The invention belongs to the field of tobacco industry, and specifically relates to a method and system for detecting impurities in a tobacco leaf production line, which uses the prior art to detect impurities in a tobacco leaf production line. Background technique [0002] In recent years, with the improvement of living standards, consumers have higher and more diversified requirements for cigarette brands of various grades. With the diversification of tobacco leaf production areas, more attention has been paid to the quality control of cigarettes. Due to the various types of impurities, the difficulty of separating impurities from non-impurities, and the fast flow rate of the assembly line, some impurities still rely on the knowledge, experience and skill proficiency of the staff for manual identification and removal. However, with the improvement of quality control requirements , The expansion of output The existing manual impurity removal method ha...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for detecting impurities in the tobacco leaf assembly line, aiming at the technical defect that it is difficult to ensure the effect of removing impurities by manually controlling the impurity removal quality in the existing tobacco leaf removal production process. Find impurities in raw materials mixed with impurities, and use mixed reality technology to project the marked results onto the raw materials on the assembly line, which is convenient for staff to visually identify, improves the efficiency and accuracy of impurity removal, and reduces the labor intensity of workers

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