CN111830047A - Cigarette fly ash detection device and detection method based on machine vision - Google Patents
Cigarette fly ash detection device and detection method based on machine vision Download PDFInfo
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- CN111830047A CN111830047A CN202010688040.5A CN202010688040A CN111830047A CN 111830047 A CN111830047 A CN 111830047A CN 202010688040 A CN202010688040 A CN 202010688040A CN 111830047 A CN111830047 A CN 111830047A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N31/00—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods
- G01N31/12—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods using combustion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8874—Taking dimensions of defect into account
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
Abstract
The invention relates to a cigarette fly ash detection device and method based on machine vision, and belongs to the technical field of cigarette fly ash detection. The invention clamps a detection sample by a manipulator simulating the human body cigarette smoking action, adopts a plurality of groups of cameras to perform synchronous full-information real-time follow-up shooting on the cigarette combustion process in the simulated human body smoking process, and identifies the change of the area of a gap between the flying off and falling off of cigarette ash in a cigarette combustion ash column by acquiring image difference comparison under the condition of non-flicking of cigarette ash, thereby calculating and representing the condition of the scattered cigarette ash outside a fixed-point flicking ash position. The method overcomes the influence of subjective factors, provides a quantitative detection method with good repeatability, objectivity and high reliability, can evaluate the product difference more accurately, guides the research work of related cigarette formulas and improves the cigarette quality.
Description
Technical Field
The invention belongs to the technical field of cigarette fly ash detection, relates to a method for detecting cigarette fly ash, and particularly relates to a cigarette fly ash detection device and a detection method based on machine vision.
Background
With the development of cigarette technology and the continuous improvement of cigarette smoking quality requirements of consumers, the quality of burning and ash wrapping performance of cigarettes in the smoking process is more and more concerned by the consumers, and meanwhile, because the situation that cigarette ash falls off in the smoking process also has the potential danger of causing fire, how to improve the burning and ash wrapping performance of the cigarettes is one of the important directions of tobacco industry research all the time.
At present, the research method for the ash wrapping performance of cigarette combustion mainly compares and evaluates the good and bad ash condensation effect of formed ash columns after the cigarettes are statically combusted. It is noted that current methods evaluate cigarette ash performance statically, either by smoldering or under smoking conditions, and consumers are concerned about the quality of cigarette ash during smoking. Therefore, the existing method can only compare and evaluate the whole ash column of the burnt cigarette so as to guide the improvement and the promotion of the ash performance quality of the cigarette, and cannot objectively reflect the ash falling and fly ash conditions of the cigarette in the smoking process of the cigarette.
Aiming at the situations and the technical defects, the invention provides a cigarette fly ash index, and the fly ash represents the cigarette ash which is separated from the cigarette ash column in the non-cigarette ash ejection process in the smoking process of the cigarette. The fly ash can cause pollution and burn clothes of consumers, causes peripheral non-smoker feelings, has fire hazard and other conditions, and therefore, the research on reducing the fly ash in the cigarette smoking process by taking consumption demand and safety as guidance has important significance.
Based on the defects of the existing detection technology, meanwhile, due to the characteristics of the fly ash index in the cigarette combustion process, the method has the characteristics of high measurement precision requirement, a large number of measurement samples, short fly ash state duration and the like, and is difficult to detect in a manual mode. Therefore, it is necessary to develop a detection device suitable for cigarette development and cigarette fly ash characteristics.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides a cigarette fly ash detection device and a detection method based on machine vision, which aim at a quantitative detection method of cigarette fly ash under the non-cigarette ash ejection state in the cigarette smoking process, namely, the cigarette ash is separated from a cigarette ash column and the condition of drifting and scattering is represented, the combustion state of the cigarette is tracked in real time by adopting the machine vision, the condition of the cigarette fly ash is tracked and judged by adopting an image processing mode, and the cigarette fly ash index is objectively and accurately represented for guiding the cigarette formula research and the quality optimization upgrading.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a cigarette fly ash detection device based on machine vision comprises a human body suction action simulation mechanical arm, a cigarette holder, a cigarette suction pipe, an ash ejection mechanism, an image acquisition device and an image processing device;
the working end of the simulation human body suction action manipulator is fixedly connected with a cigarette holder;
the cigarette holder is connected with a cigarette suction pipe;
the ash ejection mechanism is arranged on the periphery of the simulation human body suction action manipulator;
the image processing device is connected with the image acquisition device;
the image acquisition device is also arranged at the working end of the simulation human body suction action manipulator;
the simulated human body suction action manipulator is used for simulating human body smoking action;
the cigarette holder is used for holding cigarettes with different circumferences and the like and with different specifications;
the cigarette suction pipe is connected with the suction cylinder and is used for sucking cigarettes;
the ash ejecting mechanism is used for ejecting cigarette ash in a simulated smoking process;
the image acquisition device is used for synchronously acquiring the cigarette combustion ash column image in the smoking process of the cigarette;
the image processing device is used for carrying out contrastive analysis on the cigarette combustion ash column images synchronously acquired by the image acquisition device in the simulated smoking process, comparing the images under the condition that ash is not ejected, judging whether the cigarette combustion ash column has new defects or not through the change of the split area of the cigarette combustion ash column in the images, if so, judging that fly ash appears, and representing the ash flying amount by using the newly-appearing split area;
wherein no gray flick action exists between the two images being compared.
Further, preferably, the image acquisition device comprises N cameras, wherein N is more than or equal to 2.
Further, it is preferred that the ash ejecting mechanism includes an cigarette ejecting support located at the periphery of the mechanical arm, a driving motor installed on the cigarette ejecting support, and a pulling rod arranged at the output end of the driving motor.
Further, it is preferable that ISO, FTC, Massachusetts, or canadian deep smoking mode is adopted when simulating the smoking action of the human body cigarette.
Further, it is preferable that the image processing device counts the amount of fly ash occurring in the whole smoke within a range of the set combustion length of the detection sample after judging that fly ash has occurred.
The invention also provides a cigarette fly ash detection method based on machine vision, which adopts the cigarette fly ash detection device based on machine vision to carry out determination and comprises the following steps:
the method comprises the following steps that (1) a cigarette is clamped on a cigarette clamp holder and is adjusted, so that the whole cigarette is in a picture acquired by a camera of an image acquisition device;
igniting the cigarette on the cigarette holder, and acquiring an image of the cigarette in the simulated smoking process in real time through an image acquisition device;
step (3), after the acquired images are subjected to condition screening, comparing the change of the split areas of the cigarette combustion ash column in the images acquired before and after in the non-ash ejection process to judge whether the cigarette combustion ash column has new defects or not, if so, judging that fly ash appears, and representing the fly ash amount by using the newly appearing split areas;
the specific implementation method comprises the steps of collecting an ash column image in real time when a cigarette burns, calculating the split area of the ash column, screening to obtain the moment when the split area in the adjacent collected images is greatly changed, and considering that fly ash occurs at the moment.
And then counting the number of the areas where the cigarette generates the fly ash and the area of each area according to the combustion length range of the selected detection sample, and judging the quality of the fly ash characteristic of the brand cigarette.
Further, preferably, when the image acquisition device acquires the image of the cigarette combustion process in real time, the image acquisition device acquires one image every 1 s.
Further, preferably, the specific method for judging whether the cigarette combustion ash column has new defects is as follows: and comparing whether the two pictures adopted before and after the contrast have obvious gray level changes every 1s, and if the obvious gap area changes, indicating that new defects appear.
Further, it is preferable that the apparent vent area variation range is 1-20mm2，Aiming at neglecting the area of new cracks due to natural combustion
Further, preferably, the step of calculating the ash column split area is as follows:
the method comprises the following steps of firstly, obtaining a rough area of an ash column according to a carbon line position and an ash column tail end position;
secondly, carrying out first binaryzation on the picture of the approximate area of the ash column, and searching the outline, thereby filtering the environmental influence to obtain an accurate ash column area;
and thirdly, carrying out secondary binarization on the accurate ash column area to obtain a split area of the ash column, thereby calculating the split area of the ash column of the current picture.
The human body smoking action comprises characteristic actions and tracks of simulating smoking, bending over a table, flicking cigarette ash, turning over a wrist after smoking and the like;
the adjustment in the step (1) comprises adjusting the position and the angle of the camera, adjusting the clamping length of the cigarette and the like.
Compared with the prior art, the invention has the beneficial effects that:
1. the cigarette fly ash index is provided, and the situation that the ash column falls off under the condition of non-cigarette ash ejection when a cigarette is smoked by a consumer can be objectively and accurately reflected;
2. a set of detection method for collecting and processing quantized cigarette combustion fly ash based on simulated human body cigarette smoking process actions by adopting an image difference method is established, and the detection method is quick, accurate and easy to popularize;
3. the burning state of the cigarette is synchronously followed and photographed in a multi-angle full-vision manner, so that the accuracy of collecting the cigarette fly ash is improved;
4. compared with a method for judging whether the cigarette generates the fly ash or not and judging the fly ash amount subjectively by adopting manual smoking experience, the method overcomes the influence of subjective factors, provides a quantitative detection method with good repeatability, objectivity and high reliability, can evaluate the product difference more accurately, guides the research work of related cigarette formulas and improves the cigarette quality.
Drawings
FIG. 1 is a schematic structural diagram of a cigarette fly ash detection device based on machine vision according to the present invention;
FIG. 2 is a schematic diagram showing the relative positions of a manipulator and a dust ejection mechanism for simulating human body suction;
wherein, 1, a human body suction action simulation manipulator; 2. a cigarette holder; 3. a cigarette suction tube; 4. a dust ejecting mechanism; 5. an image acquisition device; 6. an image processing device; 7. a cigarette ejection bracket; 8. a drive motor; 9. pulling a rod; 10. cigarettes;
FIG. 3 is an image acquired during inspection;
FIG. 4 is another image acquired during inspection;
FIG. 5 is a partial schematic view of a picture before fly ash occurs;
FIG. 6 is a partial schematic view of a picture after the occurrence of fly ash;
FIG. 7 is a comparison image of fly ash in different shooting angles of each specification sample;
FIG. 8 is a schematic illustration of a process for calculating the area of a break in an ash column;
FIG. 9 is an original image collected during the inspection of a certain brand of cigarette;
FIG. 10 is an image of the approximate area of the ash column obtained according to FIG. 9;
FIG. 11 is an image obtained after the first binarization according to FIG. 10;
FIG. 12 is an accurate gray column area image of the gray column obtained from FIG. 11;
fig. 13 shows the image obtained after the first binarization according to fig. 12.
Detailed Description
The present invention will be described in further detail with reference to examples.
It will be appreciated by those skilled in the art that the following examples are illustrative of the invention only and should not be taken as limiting the scope of the invention. The examples do not specify particular techniques or conditions, and are performed according to the techniques or conditions described in the literature in the art or according to the product specifications. The materials or equipment used are not indicated by manufacturers, and all are conventional products available by purchase.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. Further, "connected" as used herein may include wirelessly connected.
In the description of the present invention, "a plurality" means two or more unless otherwise specified. The terms "inner," "upper," "lower," and the like, refer to an orientation or a state relationship based on that shown in the drawings, which is for convenience in describing and simplifying the description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "provided" are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. To those of ordinary skill in the art, the specific meanings of the above terms in the present invention are understood according to specific situations.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
As shown in fig. 1 and 2, a cigarette fly ash detection device based on machine vision comprises a human body suction action simulation manipulator 1, a cigarette holder 2, a cigarette suction pipe 3, an ash ejection mechanism 4, an image acquisition device 5 and an image processing device 6;
the working end of the simulation human body suction action manipulator 1 is fixedly connected with a cigarette holder 2;
the cigarette holder 2 is connected with a cigarette suction pipe 3;
the ash ejecting mechanism 4 is arranged at the periphery of the simulated human body suction action manipulator 1;
the image processing device 6 is connected with the image acquisition device 5;
the image acquisition device 5 is also arranged at the working end of the simulation human body suction action manipulator 1;
the simulated human body suction action manipulator 1 is used for simulating human body smoking action;
the cigarette holder 2 is used for holding cigarettes with different circumferences and the like and with different specifications;
the cigarette suction pipe 3 is connected with a suction cylinder and is used for sucking cigarettes;
the ash ejecting mechanism 4 is used for ejecting cigarette ash in the simulated smoking process;
the image acquisition device 5 is used for synchronously acquiring the image of the cigarette combustion ash column in the smoking process of the cigarette;
the image processing device 6 is used for carrying out comparative analysis on the cigarette combustion ash column images synchronously acquired by the image acquisition device 5 in the simulated smoking process, comparing the images under the condition that ash is not ejected, judging whether the cigarette combustion ash column has new defects or not through the change of the split area of the cigarette combustion ash column in the images, if so, judging that fly ash appears, and representing the fly ash amount by using the newly appeared split area;
wherein no gray flick action exists between the two images being compared.
Preferably, the image acquisition device 5 comprises N cameras, wherein N is more than or equal to 2.
Preferably, the ash ejecting mechanism 4 comprises an cigarette ejecting support 7 arranged on the periphery of the mechanical arm, a driving motor 8 arranged on the cigarette ejecting support 7, and a pulling rod 9 arranged at the output end of the driving motor 8.
Preferably, when the human body cigarette smoking action is simulated, an ISO, FTC, Massachusetts or Canadian deep smoking mode is adopted.
Preferably, the image processing device 6 counts the amount of fly ash occurring in the whole smoke within a range of the combustion length of the set detection sample after determining that fly ash has occurred.
A cigarette fly ash detection method based on machine vision adopts the cigarette fly ash detection device based on machine vision to carry out determination, and comprises the following steps:
and then counting the number of the areas where the cigarette generates the fly ash and the area of each area according to the combustion length range of the selected detection sample, and judging the quality of the fly ash characteristic of the brand cigarette.
Preferably, when the image acquisition device acquires the image of the cigarette combustion process in real time, one image is acquired every 1 s.
Preferably, the specific method for judging whether the cigarette burning ash column has new defects is as follows: and comparing whether the two pictures adopted before and after the contrast have obvious gray level changes every 1s, and if the obvious gap area changes, indicating that new defects appear.
Preferably, the obvious change of the area of the gap ranges from 1mm to 20mm2。
Preferably, as shown in fig. 8, the step of calculating the ash column breach area is as follows:
the method comprises the following steps of firstly, obtaining a rough area of an ash column according to a carbon line position and an ash column tail end position;
secondly, carrying out first binarization on the picture of the approximate area of the ash column, and searching the outline to obtain an accurate ash column area;
and thirdly, carrying out secondary binarization on the accurate ash column area to obtain a split area of the ash column, thereby calculating the split area of the ash column of the current picture. The actual processing diagram is shown in fig. 9-13.
In fig. 3 and 4, the dotted line represents a combustion carbon line, and the box represents a detection area, which varies with the combustion line, so that external interference can be significantly reduced. The cigarette paper of the cigarette is mostly white or light color, and the burning carbon line of the cigarette is black or dark color. And tracking the cigarette burning position according to the position of the burning carbon line.
In fig. 5 and fig. 6, in the two pictures, during the non-ash ejection smoking process of the cigarette smoking, a significant gap area change appears, which indicates that the condition of fly ash or ash drop occurs, and the statistical treatment is performed. The locations identified by the boxes in fig. 5, where the greater rate of change of the breach area occurs, are locations where fly ash occurs.
Examples of the applications
This example is at the testing process, and the collection image in-process adopts the LED light source to polish and the light filling to sample testing environment, and the purpose ensures that testing environment light is abundant, stable, reduces external environment to image acquisition's interference.
Detecting a sample: the measurement method is suitable for all cigarette specification samples, in this example, the conventional cigarette with the circumference of 24.3 mm and the length of 84.0 mm is taken as a measurement sample specification, and the measurement is carried out according to the embodiment, so that 3 different cigarette specifications are detected in total.
And (3) test configuration: the control system comprises: analysis software: FZ-PanDA (OMRON Japan); a light source is polished: JL-LR-100X30 (manufactured by Jia Xiu nationality); the camera model: FH-SC04 (OMRON, japan), lens model: 3Z4S-LE (OMRON, Japan).
And (3) testing environment: temperature: (22 ± 2) ° c, relative humidity: (60. + -. 5)%.
The operation steps are as described in the summary of the invention, and the method specifically comprises the following steps:
step (1), uniformly placing a single layer of a cigarette sample to be tested in an environment specified in GB/T16447 for balancing for 48 hours;
clamping the sample cigarette subjected to balance processing on a cigarette holder, and adjusting the position of an image acquisition device to enable the whole cigarette to be positioned at the image acquisition center position of each camera;
step (3), turning on an image acquisition device and an image processing device;
and (4) igniting the cigarette to be detected, starting the manipulator to simulate the suction and the cigarette suction cylinder, and detecting under the ISO standard suction condition. The simulated suction action of the manipulator is set according to the waiting time of a table at home of 40 s and the tobacco holding angle of the table at home of 30 degrees, and the wrist is turned over by 90 degrees after suction; when the variation of the area of the crack exceeds 1mm2Judging that a new defect appears;
step (5), the image acquisition device acquires an image every 1s according to the setting, and acquires the image of the cigarette combustion process in real time;
and (6) after the acquired images are subjected to condition screening, comparing the change of the area of the gaps of the cigarette combustion ash column in the images acquired before and after in the non-ash ejection process to judge whether the cigarette combustion ash column has new defects or not, if the new defects exist, judging that fly ash exists, calculating the fly ash amount according to the difference, and representing by using the area.
And (7) recording time and images of samples with fly ash in the detection process, and selecting two samples from each specification sample to perform fly ash result characterization, wherein the results are specifically shown in table 1 and fig. 7.
TABLE 1 fly ash condition of different shooting angles of samples of various specifications
As can be seen by example, different sized cigarettes all have some level of fly ash present during combustion. The method can effectively collect and quantify the cigarette fly ash, is used for comparing the quality difference of the cigarette fly ash and guiding the optimization and upgrading of the cigarette products.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A cigarette fly ash detection device based on machine vision is characterized by comprising a human body simulated suction action mechanical arm (1), a cigarette holder (2), a cigarette suction pipe (3), an ash ejecting mechanism (4), an image acquisition device (5) and an image processing device (6);
the working end of the simulated human body suction action manipulator (1) is fixedly connected with a cigarette holder (2);
the cigarette holder (2) is connected with a cigarette suction pipe (3);
the ash ejecting mechanism (4) is arranged at the periphery of the simulated human body suction action manipulator (1);
the image processing device (6) is connected with the image acquisition device (5);
the image acquisition device (5) is also arranged at the working end of the simulation human body suction action manipulator (1);
the simulated human body smoking action manipulator (1) is used for simulating human body smoking action;
the cigarette holder (2) is used for holding cigarettes with different circumferences and the like and different specifications;
the cigarette suction pipe (3) is connected with the suction cylinder and is used for sucking cigarettes;
the ash ejecting mechanism (4) is used for ejecting cigarette ash in a simulated smoking process;
the image acquisition device (5) is used for synchronously acquiring the cigarette combustion ash column image in the smoking process of the cigarette;
the image processing device (6) is used for carrying out comparative analysis on the cigarette combustion ash column images synchronously acquired by the image acquisition device (5) in the simulated smoking process, comparing the images under the condition that ash ejection is not carried out, judging whether the cigarette combustion ash column has new defects or not through the change of the split area of the cigarette combustion ash column in the images, if so, judging that fly ash appears, and representing the amount of fly ash by using the newly appearing split area;
wherein no gray flick action exists between the two images being compared.
2. The cigarette fly ash detection device based on machine vision according to claim 1, wherein the image acquisition device (5) comprises N cameras, N is more than or equal to 2.
3. The cigarette fly ash detection device based on machine vision according to claim 1, wherein the ash ejecting mechanism (4) comprises an cigarette ejecting bracket (7) located at the periphery of the mechanical arm, a driving motor (8) installed on the cigarette ejecting bracket (7), and a pulling rod (9) arranged at the output end of the driving motor (8).
4. The cigarette fly ash detection device based on machine vision according to claim 1, wherein an ISO, FTC, Massachusetts or Canada deep suction mode is adopted when a human cigarette suction action is simulated.
5. The cigarette fly ash detection device based on machine vision according to claim 1, wherein the image processing device (6) counts the amount of fly ash occurring in a whole cigarette within a range of a set combustion length of a detection sample after judging that fly ash occurs.
6. A cigarette fly ash detection method based on machine vision, which adopts the cigarette fly ash detection device based on machine vision of any one of claims 1 to 5 to carry out measurement, and is characterized by comprising the following steps:
the method comprises the following steps that (1) a cigarette is clamped on a cigarette clamp holder and is adjusted, so that the whole cigarette is in a picture acquired by a camera of an image acquisition device;
igniting the cigarette on the cigarette holder, and acquiring an image of the cigarette in the simulated smoking process in real time through an image acquisition device;
step (3), after the acquired images are subjected to condition screening, comparing the change of the split areas of the cigarette combustion ash column in the images acquired before and after in the non-ash ejection process to judge whether the cigarette combustion ash column has new defects or not, if so, judging that fly ash appears, and representing the fly ash amount by using the newly appearing split areas;
and then counting the number of the areas where the cigarette generates fly ash and the area of each area according to the combustion length range of the selected detection sample.
7. The cigarette fly ash detection method based on machine vision according to claim 6, wherein when the image acquisition device acquires the image of the cigarette combustion process in real time, an image is acquired every 1 s.
8. The cigarette fly ash detection method based on machine vision according to claim 6, wherein the specific method for judging whether the cigarette combustion ash column has new defects is as follows: and comparing whether the two pictures adopted before and after the contrast have obvious gray level changes every 1s, and if the obvious gap area changes, indicating that new defects appear.
9. The machine vision-based cigarette fly ash detection method according to claim 6, wherein the obvious gap area variation value range is 1-20mm2。
10. The machine vision-based cigarette fly ash detection method according to claim 6, wherein the step of calculating the ash column split area is as follows:
the method comprises the following steps of firstly, obtaining a rough area of an ash column according to a carbon line position and an ash column tail end position;
secondly, carrying out first binarization on the picture of the approximate area of the ash column, and searching the outline to obtain an accurate ash column area;
and thirdly, carrying out secondary binarization on the accurate ash column area to obtain a split area of the ash column, thereby calculating the split area of the ash column of the current picture.
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| CN202010688040.5A CN111830047B (en) | 2020-07-16 | 2020-07-16 | Cigarette fly ash detection device and detection method based on machine vision |
| PCT/CN2021/073110 WO2022012017A1 (en) | 2020-07-16 | 2021-01-21 | Machine vision-based flying cigarette ash detection device and detection method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112781505A (en) * | 2020-12-17 | 2021-05-11 | 中国电子科技集团公司第四十一研究所 | Cigarette ash column deviation correction device and method based on machine vision detection |
| CN113405580A (en) * | 2021-06-17 | 2021-09-17 | 中国烟草总公司郑州烟草研究院 | Smoking behavior recorder capable of automatically ejecting cigarette ash |
| CN113671105A (en) * | 2021-08-20 | 2021-11-19 | 合肥众沃仪器技术有限公司 | Full visual angle detecting system for cigarette burning ash quality |
| WO2022057183A1 (en) * | 2020-09-16 | 2022-03-24 | 云南中烟工业有限责任公司 | Machine vision-based cigarette fly ash detection device and detection method using grayscale difference method |
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