A cigarette fly ash detection device and detection method based on machine vision using gray level difference method

Abstract

The invention discloses a machine vision-based cigarette fly ash detection device and a cigarette fly ash detection method using a gray scale difference method. The invention clamps and detects samples by simulating human cigarette smoking action manipulators. During the simulating human smoking process, multiple groups of cameras are used to follow up the cigarette burning process with full information and real-time synchronously. Compare the difference to judge whether there is fly ash phenomenon, and calculate the area of ​​fly ash in the cigarette combustion ash column through the area where the gray level of the cigarette combustion ash column in the two cigarette combustion ash column images is different before and after, so as to further judge the amount of fly ash size. The present invention cleverly converts the detection of the amount of fine fly ash into the detection of the gray difference of the cigarette burning ash column. Compared with the method of using manual suction experience and subjective judgment of whether the cigarette has fly ash and the size of the fly ash, the repeatability of the method is Good, objective, highly credible, and quantifiable, and can more accurately evaluate product differences.

Description

technical field [0001] The invention belongs to the technical field of cigarette fly ash detection, and relates to a method for detecting cigarette fly ash, in particular to a cigarette fly ash detection device and detection method based on machine vision using a gray scale difference method. The method uses machine vision to track cigarettes in real time Combustion state, using image processing to judge, compare and calculate the situation of cigarette fly ash. Background technique [0002] With the development of cigarette technology and the continuous improvement of consumers' requirements for cigarette smoking quality, the ash-coating performance of cigarettes in the smoking process has attracted more and more attention from consumers. There are also unfavorable conditions such as polluting the environment and consumer clothes, so how to improve the ash-coating performance of cigarettes has always been one of the important research directions of the tobacco industry. ...

AI Technical Summary

Problems solved by technology

[0005] Due to the lack of existing detection technology, at the same time, due to the characteristics of fly ash indicators in the cigarette burning process, it has the characteristics of high measurement accuracy, large number of measurement samples, and short duration of fly ash state, so it is difficult to detect manually

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