Method and system for detecting impurities of assembly line of tobacco leaves

Abstract

The invention discloses a method and system for detecting impurities of an assembly line of tobacco leaves and belongs to the field of industrial automation. The detecting method comprises the steps of: capturing images of the assembly line and transmitting to an image processing device by an image collecting device and recognizing positions and sizes of sundries in the images and converting position coordinates of the sundries in the images captured by the image capturing device to positions and sizes of images of an image outputting device by the image processing device; generating images inwhich sundry areas are marked and transmitting to the image outputting device by the image processing device; and displaying the images in a manner visible to the human eye by the image outputting device. According to the method disclosed by the invention, the positions and the sizes of the impurities in the images are calculated through a neural network algorithm of machine learning and the impurities on the assembly line are marked by using visible light marks in a projection manner so as to achieve the purpose of prompting workers to remove the sundries.

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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