Cigarette fly ash detection device and detection method based on machine vision by adopting gray difference method

Abstract

The invention discloses a cigarette fly ash detection device based on machine vision and a cigarette fly ash detection method adopting a gray difference method. A detection sample is clamped by a simulated human body cigarette smoking action manipulator, in the simulated human body smoking process, synchronous full-information real-time follow-up shooting is performed on the cigarette combustion process by adopting multiple groups of cameras, and under the condition of non-cigarette ash flicking, whether a fly ash phenomenon occurs or not is judged through difference comparison of collected images. The area of fly ash appearing in cigarette combustion ash columns is calculated according to the area of the difference between the gray levels of the cigarette combustion ash columns in the front and rear cigarette combustion ash column images, so as to further judge the amount of the fly ash. According to the method, detection of the fine fly ash amount is ingeniously converted into detection of the gray difference of the cigarette combustion ash columns, and compared with a method for judging whether the cigarette generates fly ash or not and judging the fly ash amount subjectively through manual smoking experience, the method is good in repeatability, objective, high in credibility and quantifiable, and the product difference can be evaluated more accurately.

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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