CN110907472A - Image recognition system for online cigarette product packaging - Google Patents
Image recognition system for online cigarette product packaging Download PDFInfo
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- CN110907472A CN110907472A CN201911122131.6A CN201911122131A CN110907472A CN 110907472 A CN110907472 A CN 110907472A CN 201911122131 A CN201911122131 A CN 201911122131A CN 110907472 A CN110907472 A CN 110907472A
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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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
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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
- 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
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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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
- G01N2021/95615—Inspecting patterns on the surface of objects using a comparative method with stored comparision signal
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Abstract
The invention provides an image recognition system for on-line cigarette product packaging, which comprises: the visual detection system comprises a visual controller, a detection interaction platform, a visual detection device and a rejection execution device. The visual controller is in signal connection with the visual detection device and the detection interaction platform through an I/O port, and the visual controller controls the visual detection device to extract appearance features and shoot images of cigarette packages. And the detection interactive platform automatically configures a preset algorithm according to the appearance characteristics to perform image processing on the cigarette package image. The detection interaction platform is in signal connection with the rejection execution device, the detection interaction platform determines unqualified products according to the cigarette packaging images and sends rejection instructions to the rejection execution device, and the rejection execution device removes the unqualified products according to the rejection instructions. The invention can improve the quality detection efficiency of cigarette products and reduce the labor cost.
Description
Technical Field
The invention relates to the technical field of detection of cigarette packages, in particular to an image recognition system for online cigarette product packages.
Background
At present, tobacco manufacturing enterprises continuously pursue the excellence of the internal quality of cigarette products and pay great attention to the perfection of external packaging. The cigarette carried by the packaging machine is packed layer by the packaging material according to the process requirement to form the cigarette finished product on the market. On one hand, the cigarette package protects the product quality, plays the roles of preventing mildew, keeping moisture and maintaining fragrance, and is convenient for transportation, storage, sale and carrying; on the other hand, the package is also beneficial to identifying the specification and the grade of a consumer, and the attractive and elegant package attracts the consumer and builds a brand image. According to the requirements of the process quality standard of a packing unit, a plurality of quality key control points such as cigarette missing, lacking, aluminum foil lacking, tearing defect, inner frame lacking, label paper defect, small package appearance defect, small transparent lacking stay wire, small transparent package defect, strip transparent stay wire lacking and the like need to be subjected to key detection. At present, the detection means mainly relies on the visual inspection mode of operator self-inspection and technician inspection to inspect the product quality.
The manual detection mode is lagged, the detection efficiency is low, a large amount of time and labor are needed for detection, the detection standards are different, the material cost is wasted when the packaging layer by layer is peeled off in the process, the visual camera is used for developing visual online detection to display the external pictures of the product packaging to an external screen through a visual detection system host, once unqualified products are timely eliminated, the internal attribute changes caused by device aging, such as dust, temperature, light, short-term changes of packaging box differences in different batches and the like under the cigarette production environment condition can cause the changes of detection data and configuration, a large amount of false detections and missed detections are generated, the optimal working state is difficult to keep through visual online detection by means of manual intervention, configuration deployment and parameter correction continuously.
Disclosure of Invention
The invention provides an image recognition system for on-line cigarette product packaging, which solves the problems that the detection of the existing cigarette packaging cannot automatically configure and correct parameters to process images, so that the detection is inaccurate, the quality detection efficiency of cigarette products can be improved, and the labor cost is reduced.
In order to achieve the above purpose, the invention provides the following technical scheme:
an image recognition system for on-line cigarette product packaging, comprising: the system comprises a vision controller, a detection interaction platform, a vision detection device and a rejection execution device;
the visual controller is in signal connection with the visual detection device and the detection interaction platform through an I/O port, and controls the visual detection device to extract appearance characteristics and shoot images of cigarette packages;
the detection interactive platform automatically configures a preset algorithm according to the appearance characteristics to perform image processing on the cigarette package image;
the detection interaction platform is in signal connection with the rejection execution device, the detection interaction platform determines unqualified products according to the cigarette packaging images and sends rejection instructions to the rejection execution device, and the rejection execution device removes the unqualified products according to the rejection instructions.
Preferably, the visual inspection device includes: lighting lamps and industrial cameras;
the industrial camera is used for shooting images of cigarette packages, when the industrial camera shoots, the visual controller controls the illuminating lamp to be lightened, and the images of the cigarette packages shot by the industrial camera are transmitted to the detection interaction platform.
Preferably, the visual inspection device further comprises: a high speed sensor;
the high-speed sensor is used for detecting the position of cigarette packages, and the vision controller transmits the position detected by the high-speed sensor to the detection interaction platform;
and if the cigarette package is an unqualified product, the detection interaction platform controls the rejection executing device to carry out removal action according to the position.
Preferably, the detection interaction platform comprises: an edge identification module;
the edge recognition module detects a tear defect, a trademark paper defect, a small package appearance defect, a small transparent pull line, a small transparent package defect, a strip package defect and a strip transparent pull line defect according to the cigarette package image so as to effectively detect the edge defect of the cigarette package.
Preferably, the detection interaction platform further comprises: a code reading module;
the code reading module is used for reading the bar code or the two-dimensional code on the cigarette package image, reporting a pickup signal when the cigarette package has quality defects or appearance defects, and controlling the rejection execution device to remove unqualified products according to the pickup signal by the detection interaction platform.
Preferably, the detection interaction platform further comprises: a character recognition module;
the character recognition module is used for recognizing characters on the cigarette package image to determine whether the pattern on the cigarette package is the same as a preset pattern or not, if not, a pattern dissimilarity signal is reported, and the detection interaction platform controls the rejection execution device to remove unqualified products according to the pattern dissimilarity signal.
Preferably, the detection interaction platform further comprises: touching a mould screen;
the touch screen is used for displaying the cigarette package image and the appearance characteristics and receiving the interactive information of an operator.
Preferably, the detection interaction platform further comprises: an image processing algorithm module;
the image processing algorithm module is used for carrying out denoising, gray level conversion, binarization transformation, edge extraction and/or geometric correction processing on the cigarette packaging image.
Preferably, the rejection performing means includes: a manipulator;
a servo motor, a pneumatic component and a photoelectric component are arranged in the manipulator; the servo motor is used for controlling the action of the manipulator, the pneumatic component is used for driving the manipulator to move, and the photoelectric component is used for controlling the motion track of the manipulator.
Preferably, the vision controller is a microprocessor or an ARM processor.
The invention provides an image recognition system for on-line cigarette product packaging, which performs image processing on a cigarette packaging image through a detection interaction platform, recognizes a cigarette packet through the extraction of appearance characteristics to reject unqualified products, solves the problem that the detection of the existing cigarette packaging cannot automatically configure and correct parameters to process the image, so that the detection is inaccurate, can improve the quality detection efficiency of cigarette products, and reduces the labor cost.
Drawings
In order to more clearly describe the specific embodiments of the present invention, the drawings to be used in the embodiments will be briefly described below.
Fig. 1 is a schematic structural diagram of an image recognition system for on-line cigarette product packaging provided by the invention.
FIG. 2 is a schematic structural diagram of the detection interaction platform provided by the present invention.
Fig. 3 is a schematic structural diagram of an image recognition system according to an embodiment of the present invention.
Detailed Description
In order to make the technical field of the invention better understand the scheme of the embodiment of the invention, the embodiment of the invention is further described in detail with reference to the drawings and the implementation mode.
Aiming at the problems that manual operation is needed for detection of the current cigarette package, and the detection cannot be carried out automatically, and parameters cannot be configured and corrected, the invention provides an image recognition system for on-line cigarette product package.
As shown in fig. 1, an image recognition system for on-line cigarette product packaging comprises: the visual detection system comprises a visual controller, a detection interaction platform, a visual detection device and a rejection execution device. The visual controller is in signal connection with the visual detection device and the detection interaction platform through an I/O port, and the visual controller controls the visual detection device to extract appearance features and shoot images of cigarette packages. And the detection interactive platform automatically configures a preset algorithm according to the appearance characteristics to perform image processing on the cigarette package image. The detection interaction platform is in signal connection with the rejection execution device, the detection interaction platform determines unqualified products according to the cigarette packaging images and sends rejection instructions to the rejection execution device, and the rejection execution device removes the unqualified products according to the rejection instructions.
Specifically, manual excessive intervention is not needed when a new brand is deployed, the appearance features of the standard tobacco bale sample are automatically extracted through the visual detection device, a self-deployment identification strategy is carried out through the detection interaction platform, a corresponding image identification algorithm is configured, and the identification scheme for the optimal tobacco bale appearance image features is configured automatically. And in the detection process, parameter optimization and correction are carried out autonomously, so that the effects of sensitivity and small discrimination error are achieved. The vision controller controls the vision detection device to collect images and appearance characteristics through the I/O. The detection interaction platform can complete engineering deployment based on an FPGA technology and a high-speed stable graphical configuration interface and is used for directly driving the rejection execution device. The detection interaction platform is based on an image processing tool, and the cigarette package images are identified and processed according to the appearance image characteristics of the online product package, so that the detection accuracy and the detection efficiency can be improved, and the labor cost is reduced.
The vision controller is a microprocessor or an ARM processor. In practical application, the vision controller is based on a control protocol of ModbusTCP, and the protocol consists of control words and data; various visual peripheral devices are driven at high speed through an I/O control function, and the visual peripheral devices comprise illuminating lamps, industrial cameras, high-speed sensors and electromagnetic valves. The control word AX (X is 1-10) controls the lighting lamp, the control word BX (X is 1-10) controls the industrial camera, the control word CX (X is 1-10) controls the high-speed sensor, and the control word DX (X is 1-10) controls the high-speed electromagnetic valve.
As shown in fig. 1 and 3, the visual inspection apparatus includes: lighting lamps and industrial cameras. The industrial camera is used for shooting images of cigarette packages, when the industrial camera shoots, the visual controller controls the illuminating lamp to be lightened, and the images of the cigarette packages shot by the industrial camera are transmitted to the detection interaction platform.
In practical applications, the illumination lamps include on-off controlled illumination lamps, current controlled illumination lamps, voltage controlled illumination lamps, and the like. The switch-controlled illuminating lamp is controlled by a port A1, the current-controlled illuminating lamp is controlled by a port A2, the voltage-controlled illuminating lamp is controlled by a port A3, and the vision controller converts the instructions sent by the detection interactive platform into the driving control action of the illuminating lamp. The industrial cameras comprise various brands of cameras, the control of the cameras is realized by means of optical coupling output, different cameras are controlled at different levels, the camera driven in a high-level mode is controlled by a port B1 instruction, and the camera driven in a low-level mode is controlled by a port B2 instruction.
As shown in fig. 1 and 3, the visual inspection apparatus further includes: a high speed sensor. The high-speed sensor is used for detecting the position of cigarette packages, and the vision controller transmits the position detected by the high-speed sensor to the detection interaction platform. And if the cigarette package is an unqualified product, the detection interaction platform controls the rejection executing device to carry out removal action according to the position.
In practical application, the pulse signal of the high-speed sensor is short, and the signal is captured in an interruption mode after the optical coupler is connected to the visual controller. The active low sensor signal is converted to port C1 control word + data format; the active high sensor signal is converted to port C2 control word + data format.
As shown in fig. 2, the detection interaction platform includes: and an edge identification module. The edge recognition module detects a tear defect, a trademark paper defect, a small package appearance defect, a small transparent pull line, a small transparent package defect, a strip package defect and a strip transparent pull line defect according to the cigarette package image so as to effectively detect the edge defect of the cigarette package.
As shown in fig. 2, the detection interaction platform further includes: and a code reading module. The code reading module is used for reading the bar code or the two-dimensional code on the cigarette package image, reporting a pickup signal when the cigarette package has quality defects or appearance defects, and controlling the rejection execution device to remove unqualified products according to the pickup signal by the detection interaction platform.
As shown in fig. 2, the detection interaction platform further includes: and a character recognition module. The character recognition module is used for recognizing characters on the cigarette package image to determine whether the pattern on the cigarette package is the same as a preset pattern or not, if not, a pattern dissimilarity signal is reported, and the detection interaction platform controls the rejection execution device to remove unqualified products according to the pattern dissimilarity signal.
As shown in fig. 2, the detection interaction platform further includes: a touch screen is provided. The touch screen is used for displaying the cigarette package image and the appearance characteristics and receiving the interactive information of an operator.
The detection interaction platform further comprises: and an image processing algorithm module. The image processing algorithm module is used for carrying out denoising, gray level conversion, binarization transformation, edge extraction and/or geometric correction processing on the cigarette packaging image.
In practical application, an industrial camera is used for displaying an image outside a product package to an external screen through a touch screen, an image processing algorithm module is used for picking and processing a cigarette package image displayed by the touch screen, each characteristic is subjected to standardized detection, and once unqualified products are found, the unqualified products are removed in time. The cigarette package image is transformed through denoising, gray level transformation, edge extraction and geometric correction, the image can be processed more effectively, the quality of the image is improved, the image is transformed to be more beneficial to observation of people and suitable for machine identification, the situation that the image is inconsistent with an actual image and the quality is judged incorrectly due to three-dimensional convolution generated by a visual camera shooting angle and image chromatic aberration is avoided, the image is detected after being processed effectively as much as possible, and the detection efficiency of the whole detection device is improved.
The rejection execution device includes: a robot arm. A servo motor, a pneumatic component and a photoelectric component are arranged in the manipulator; the servo motor is used for controlling the action of the manipulator, the pneumatic component is used for driving the manipulator to move, and the photoelectric component is used for controlling the motion track of the manipulator.
The invention provides an image recognition system for on-line cigarette product packaging, which is used for performing image processing on a cigarette packaging image through a detection interaction platform, recognizing a cigarette packet through appearance characteristic extraction and eliminating unqualified products, solving the problem that the detection of the existing cigarette packaging cannot be automatically configured and parameters are corrected to process the image, so that the detection is inaccurate, improving the quality detection efficiency of the cigarette product and reducing the labor cost.
The construction, features and functions of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the present invention is not limited to the embodiments shown in the drawings, and all equivalent embodiments modified or modified by the spirit and scope of the present invention should be protected without departing from the spirit of the present invention.
Claims (10)
1. An image recognition system for on-line cigarette product packaging, comprising: the system comprises a vision controller, a detection interaction platform, a vision detection device and a rejection execution device;
the visual controller is in signal connection with the visual detection device and the detection interaction platform through an I/O port, and controls the visual detection device to extract appearance characteristics and shoot images of cigarette packages;
the detection interactive platform automatically configures a preset algorithm according to the appearance characteristics to perform image processing on the cigarette package image;
the detection interaction platform is in signal connection with the rejection execution device, the detection interaction platform determines unqualified products according to the cigarette packaging images and sends rejection instructions to the rejection execution device, and the rejection execution device removes the unqualified products according to the rejection instructions.
2. The image recognition system of an on-line cigarette product package of claim 1, wherein the visual inspection device comprises: lighting lamps and industrial cameras;
the industrial camera is used for shooting images of cigarette packages, when the industrial camera shoots, the visual controller controls the illuminating lamp to be lightened, and the images of the cigarette packages shot by the industrial camera are transmitted to the detection interaction platform.
3. The image recognition system of an online cigarette product package of claim 2, wherein the visual inspection device further comprises: a high speed sensor;
the high-speed sensor is used for detecting the position of cigarette packages, and the vision controller transmits the position detected by the high-speed sensor to the detection interaction platform;
and if the cigarette package is an unqualified product, the detection interaction platform controls the rejection executing device to carry out removal action according to the position.
4. The image recognition system of online cigarette product packaging of claim 3, wherein the detection interaction platform comprises: an edge identification module;
the edge recognition module detects a tear defect, a trademark paper defect, a small package appearance defect, a small transparent pull line, a small transparent package defect, a strip package defect and a strip transparent pull line defect according to the cigarette package image so as to effectively detect the edge defect of the cigarette package.
5. The image recognition system of online cigarette product packaging of claim 4, wherein the detection interaction platform further comprises: a code reading module;
the code reading module is used for reading the bar code or the two-dimensional code on the cigarette package image, reporting a pickup signal when the cigarette package has quality defects or appearance defects, and controlling the rejection execution device to remove unqualified products according to the pickup signal by the detection interaction platform.
6. The image recognition system of online cigarette product packaging of claim 5, wherein the detection interaction platform further comprises: a character recognition module;
the character recognition module is used for recognizing characters on the cigarette package image to determine whether the pattern on the cigarette package is the same as a preset pattern or not, if not, a pattern dissimilarity signal is reported, and the detection interaction platform controls the rejection execution device to remove unqualified products according to the pattern dissimilarity signal.
7. The image recognition system of online cigarette product packaging of claim 6, wherein the detection interaction platform further comprises: touching a mould screen;
the touch screen is used for displaying the cigarette package image and the appearance characteristics and receiving the interactive information of an operator.
8. The image recognition system of online cigarette product packaging of claim 7, wherein the detection interaction platform further comprises: an image processing algorithm module;
the image processing algorithm module is used for carrying out denoising, gray level conversion, binarization transformation, edge extraction and/or geometric correction processing on the cigarette packaging image.
9. The system of claim 8, wherein the rejection performing device comprises: a manipulator;
a servo motor, a pneumatic component and a photoelectric component are arranged in the manipulator; the servo motor is used for controlling the action of the manipulator, the pneumatic component is used for driving the manipulator to move, and the photoelectric component is used for controlling the motion track of the manipulator.
10. The image recognition system of on-line cigarette product packaging of any one of claims 1 to 9, wherein the visual controller is a microprocessor or an ARM processor.
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| CN112557399A (en) * | 2020-11-30 | 2021-03-26 | 河北白沙烟草有限责任公司 | Point inspection method and device for smoke machine equipment quality detection system |
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| CN115072036A (en) * | 2022-06-17 | 2022-09-20 | 红云红河烟草(集团)有限责任公司 | Cigarette packaging box forming quality detection device and method |
| CN117723564A (en) * | 2024-02-18 | 2024-03-19 | 青岛华康塑料包装有限公司 | Packaging bag printing quality detection method and system based on image transmission |
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Application publication date: 20200324 |