CN112078237B - Hot stamping system with automatic hot stamping quality detection device - Google Patents
Hot stamping system with automatic hot stamping quality detection device Download PDFInfo
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- CN112078237B CN112078237B CN202010863254.1A CN202010863254A CN112078237B CN 112078237 B CN112078237 B CN 112078237B CN 202010863254 A CN202010863254 A CN 202010863254A CN 112078237 B CN112078237 B CN 112078237B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F16/00—Transfer printing apparatus
- B41F16/0006—Transfer printing apparatus for printing from an inked or preprinted foil or band
- B41F16/004—Presses of the reciprocating type
- B41F16/0046—Presses of the reciprocating type with means for applying print under heat and pressure, e.g. using heat activable adhesive
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F19/00—Apparatus or machines for carrying out printing operations combined with other operations
- B41F19/02—Apparatus or machines for carrying out printing operations combined with other operations with embossing
- B41F19/06—Printing and embossing between a negative and a positive forme after inking and wiping the negative forme; Printing from an ink band treated with colour or "gold"
- B41F19/064—Presses of the reciprocating type
- B41F19/068—Presses of the reciprocating type motor-driven
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F33/00—Indicating, counting, warning, control or safety devices
- B41F33/0036—Devices for scanning or checking the printed matter for quality control
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a hot stamping system with an automatic hot stamping quality detection device, which comprises: laser transfer membrane unwinding device (210), laser transfer membrane coiling mechanism (220) and impression transfer device (230), impression transfer device installs laser transfer membrane unwinding device with between the laser transfer membrane coiling mechanism, it still includes automatic thermoprint quality detection device, automatic thermoprint quality detection device set up in impression transfer device (230) low reaches, automatic thermoprint quality detection device includes light source (101), image acquisition device (102) and image processing device (103).
Description
Technical Field
The invention relates to the field of machinery, in particular to a hot stamping system with an automatic hot stamping quality detection device.
Background
Hot stamping, commonly known as "gold stamping", has a long history in China. The hot stamping technology can be rapidly developed and widely applied in more than ten years, such as hot stamping of paper products, hot stamping of textiles, hot stamping of decorative materials, hot stamping of plastic products and the like.
Hot stamping is an important means for surface decoration of plastic parts. The method utilizes a heated hot stamping head to laminate and stamp metal or paint on a hot stamping film on the surface of a processed workpiece so as to achieve the purpose of decoration or marking.
The existing stamping modes generally comprise flat stamping and rolling stamping. Ironing, as the name implies, refers to stamping a workpiece with a flat reference surface, and stamping the workpiece on a flat workpiece or on a part of the flat surface of the workpiece (ironing). The rolling and ironing refers to that the stamping part is a heated silicon rubber roller which can be used for rolling and ironing (round ironing) on a plane or a circular surface, and can also be used for rolling and ironing around shells such as television shells and the like if a special servo mechanism is matched.
The existing hot stamping equipment does not generally comprise a quality detection device of a hot stamping product, at present, the quality detection of the hot stamping product is mainly carried out manually or the quality detection equipment is bought independently, the existing detection equipment mainly carries out flaw characteristic detection on a detected image or directly compares the detected image with a reference image, but the detection mode easily causes false detection when detecting the hot stamping product, because the hot stamping product easily causes phenomena such as reflection and the like under the irradiation of a light source, the planeness of different products is different, different planeness (referring to the self radian of a plane product) in a target area can bring different reflection effects, but the image difference caused by the self different radians of the product cannot be identified through the existing method. In addition, the existing detection method is based on the whole product for detection, but in practice, the formation reason of inferior products of the gold stamping products is probably more the hot stamping process, and the existing method generally needs to perform complicated image segmentation when the gold stamping part is singly detected, and is more difficult to realize especially under the condition that the gold stamping patterns are relatively complicated.
Disclosure of Invention
In view of the above situation, the present invention is to provide a new stamping system with an automatic stamping quality detection device, which can solve the above problems in the detection of the gold stamping products.
Specifically, the invention provides a hot stamping system with an automatic hot stamping quality detection device, which comprises: the laser transfer film rolling device comprises a laser transfer film unwinding device (210), a laser transfer film winding device (220) and an imprinting transfer device (230), wherein the imprinting transfer device is installed between the laser transfer film unwinding device and the laser transfer film winding device, and the laser transfer film rolling device is characterized by further comprising an automatic hot stamping quality detection device, the automatic hot stamping quality detection device is arranged at the downstream of the imprinting transfer device (230), the automatic hot stamping quality detection device comprises a light source (101), an image acquisition device (102) and an image processing device (103), the image acquisition device is used for acquiring hot stamping product images irradiated by various different light sources, and defective product detection is carried out based on the difference between each image and a standard image.
The image acquisition device respectively acquires (1) a background image, a substrate image and a white light image of the detected product and the standard product or (2) a background image, a substrate image and a white light image of the detected product, the standard product and the defective product.
Calculating the comprehensive similarity value of the detected product and the standard product by using the following formula:
S＝a1×μ1+b1×μ2+c1×μ3+a2×μ1×μ2+b2×μ2×μ3+c2×μ3×μ1+ d, wherein, a1、b1、c1、a2、b2、c2And d is a proportionality coefficient, μ1、μ2、μ3Respectively representing similarity values obtained after the background image, the substrate image and the white light image are compared with the corresponding standard images.
The image similarity value is implemented by a conventional algorithm, such as a hash-aware algorithm. .
It should be noted that the present invention is only suitable for the case of single-color hot stamping, and may require a more complicated design for hot stamping products with multiple hot stamping colors or products subjected to multiple hot stamping, which is not included here.
Technical effects
The hot stamping system with the automatic hot stamping quality detection device can directly and effectively detect the hot stamping products after the hot stamping of the hot stamping products is finished, and the downstream of the conveyor belt is provided with the waste removing mechanism to remove the detected suspected unqualified hot stamping products for the next manual detection. The invention greatly improves the detection accuracy rate by combining the background light source, the substrate light source and the white light source, avoids the requirement of image segmentation and reduces the image processing error.
In addition, in a preferred implementation mode, the hot stamping system with the automatic hot stamping quality detection device can realize waste product detection based on the convolutional neural network, can effectively avoid the phenomenon of false detection, and improves the detection precision.
Drawings
Fig. 1 is a schematic structural diagram of a stamping system.
Fig. 2 is a schematic structural diagram of the detection device.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1, the hot stamping system with the automatic hot stamping quality detection device of this embodiment includes a laser transfer film (or laser film) unwinding device 210, a laser transfer film winding device 220, and an impression transfer device 230, where the impression transfer device is installed between the laser transfer film unwinding device and the laser transfer film winding device. The impression transfer device is adapted to transport the products successively on both sides by means of the conveyor belts 251.
The laser transfer film unwinding device 210, the laser transfer film winding device 220 and the embossing transfer device 230 can guide the transfer film through a plurality of guide rollers, so that the transfer film winds above the transfer platform, and after embossing transfer is performed through the embossing transfer device, the laser pattern is transferred to a specific area of a product to be printed, and detailed description is omitted here. The imprint transfer apparatus may be a common imprint transfer apparatus, and generally includes an imprint mechanism, an ultraviolet curing mechanism, and a peeling mechanism, which is not described herein too much.
Example 1
Next, the hot stamping quality detection device provided downstream of the imprint transfer device will be mainly described.
The automatic hot stamping quality detection device of the embodiment comprises a light source, an image acquisition device 102, an image processing device and a detection box 104. The inspection box 104 is a light-tight box body covered above the conveyor belt 116, the front end and the rear end of the box body are respectively provided with horizontal openings, i.e. a workpiece inlet and a workpiece outlet (not shown in the figure) for allowing the conveyor belt and the hot stamping products thereon to pass through, and preferably, a shading plate or a shading curtain is additionally arranged at the inner sides of the workpiece inlet and the workpiece outlet to prevent or reduce an external light source from entering the inspection box 104 as much as possible. And the hot stamped product enters the detection box through the workpiece inlet. The conveying direction of the conveyor belt is out of the paper in the figure.
The light source includes at least one white light source 111, at least one gold stamping background light source, and more preferably, at least one substrate light source 113 (since the background light source and the substrate light source are arranged side by side, they are shielded by the substrate light source and not shown in the figure), and in this embodiment, three light sources are taken as an example for illustration. The light source is arranged on one side above the conveyor belt and faces the detected product. The position and the illumination angle of the white light source 111 are different from at least one of the background light source and the substrate light source, and slightly staggered from the background light source and the substrate light source, so that the problem of light reflection is solved, and the taken images at different illumination angles are taken into consideration.
The three light sources are arranged on one side of the conveyor belt, the background and the substrate light source have the same irradiation angle, and the irradiation angle of the white light source is different from that of the substrate light source.
The image acquisition device 102 is arranged on the other side of the conveyor belt and is asymmetrically arranged with the light source, wherein the asymmetric arrangement means that the shooting angle of the image acquisition device 102 is different from the irradiation angle of the light source relative to the plane of the detected product, so that light emitted by the light source directly enters the image shooting device after being reflected by the detected product, and the shooting quality is prevented from being influenced. Assuming that the conveying direction of the conveying belt is taken as the x direction, the horizontal direction perpendicular to the conveying belt is taken as the y direction, and the vertical direction perpendicular to the conveying belt is taken as the z direction, the shooting visual field of the image acquisition device is wider than the detected product in the x direction.
Preferably, the determination of the background light source and the substrate light source is performed in the following manner:
(1) shooting a sample image of a sample of a target product under the condition of white light source illumination; the shooting can adopt the modes of side multi-light source illumination and front shooting, and the shooting has the advantages that the illumination unevenness of the side multi-light source illumination can be effectively reduced, and the adverse factors such as shadow and the like are avoided. The purpose of the front shooting is to avoid image deformation and facilitate the determination of the true condition of the sample.
(2) Carrying out image segmentation on the sample image, and determining a gold stamping area and a non-gold stamping area; the existing image segmentation method can be combined with manual segmentation to segment the gold stamping area, so that the image of the sample is divided into two parts. Since this segmentation needs to be done only once for one sample, the segmentation can be refined as much as possible.
(3) Extracting RGB values of a gold stamping area in a sample image, determining an average value of the RGB values of the gold stamping area, determining the color of the gold stamping area, and determining an absorption peak corresponding to the color according to the color of the gold stamping area;
(4) selecting a background light source according to an absorption peak of the gold stamping area, so that the light-emitting wavelength of the background light source is approximately corresponding to the absorption peak; the RGB value can reflect the color attribute of a sample, and the absorption peak of the corresponding area can be determined based on the color attribute of the gold stamping area. In addition, the monochromatic light source mentioned in the present invention is not a narrow-band monochromatic light source in the laser, and may be a monochromatic light source with a certain wavelength width, for example, the wavelength range is 10-20nm, but should not exceed 40 nm. The step is mainly to select the gold stamping background light source to enable the light emitting wavelength of the gold stamping background light source to be substantially matched with the color of the alumite stamped by the target product, for example, if a gold stamping piece is often golden yellow, the background light source is selected to be a monochromatic light source emitting yellow light, and because the monochromatic light source can only be reflected by a material matched with the color of the monochromatic light source, when the background light source is adopted for illumination, a shot image basically only comprises an image of a gold stamping area and an area close to the color of the gold stamping area, or the gold stamping area is more prominent in the image.
(5) Extracting RGB values of a non-gold stamping area, determining an average value of the RGB values of the non-gold stamping area, determining the color of the non-gold stamping area and an absorption peak corresponding to the color based on the average value, and selecting the light-emitting wavelength of a substrate light source according to the absorption peak so that the substrate light source at least comprises two light sources, wherein the light-emitting wavelengths of the two light sources are respectively positioned at two sides of the absorption peak; the light source is arranged to better back line the substrate part and the gold stamping part, so that the gold stamping part in the substrate image is relatively darker, the gold stamping area in the background image is bright, and the substrate is darker, thereby better reflecting the respective characteristics of the gold stamping area and the non-gold stamping area. If the color of the substrate image is relatively cluttered, a wavelength different from the wavelength of the background light source by more than a certain value (for example, by at least more than 50nm) can be selected as the wavelength of the substrate light source, for example, if the background is yellow light, the substrate can be selected from red light and blue light. In addition, it should be noted that, for the substrate light source, the wavelength difference between the substrate light source and the background light source is not less than 50 nm.
Product testing is then performed. For each detected product, arranging an infrared or other trigger mechanism in a workpiece inlet or a detection box, sending a trigger signal to a light source and an image acquisition device after the product reaches a designated position, firstly, sending irradiation light by a white light source, irradiating the detected product, and acquiring a first detected image by the image acquisition device; then, irradiating the detected product by using a background light source, and acquiring a background image by using an image acquisition device; then, a substrate light source is adopted for irradiation, and an image acquisition device is used for acquiring a substrate image.
Next, the three kinds of images are subjected to image processing by the image processing apparatus, respectively.
In this embodiment, the image processing adopts a relatively conventional image comparison method to perform image comparison. Firstly, before a detected product is detected, images of standard qualified products are collected for multiple times under the same illumination condition according to the method to obtain a standard product image library. Although the standard products are used, the photographed effect of each product is slightly different because even the standard products have slight differences in the minute shapes (such as slight bumps and depressions) of the products or the influence of the external light which is not completely blocked within the allowable range. Therefore, in the present embodiment, a standard product image library is provided to allow the existence of such deviation, and the pictures in the image library may be used in combination of a plurality of images, or several images may be registered and averaged with corresponding pixels.
When the comparison is carried out specifically, the comparison of the background images is carried out firstly, and the background images are the most direct and clear parts reflected by the gold stamping patterns. When the background images are compared, because the reflection of yellow light by the non-hot stamping area in the background images is relatively small and the corresponding pixel values are small, the background images are subjected to high-pass filtering, a threshold value is set according to the pixel values of the images of the non-hot stamping area in the standard product images, the pixel area higher than the set threshold value in the background images is reserved, and other areas are reset to zero. The standard image and the detected image are processed in the same way. Then, the processed detected background image is subjected to image matching with a corresponding background image in a standard image library, and the image matching can be performed by adopting a conventional image comparison algorithm, for example, an OpenCV-based image perception algorithm or an ORB algorithm, to respectively determine similarity values of the background image and at least three standard images in the standard image library, and average the obtained similarity values to obtain the similarity of the product background image. Taking a hash perception algorithm as an example, the algorithm generates a fingerprint character string for each picture, and comparison is performed based on the fingerprint character strings, and the smaller the difference between the fingerprint character strings is, the higher the similarity is. This is prior art in the field and will not be described in detail here.
And comparing the substrate images, wherein the peripheral area of the gold stamping pattern in the substrate image is reflected more clearly, and the gold stamping area is a dark area. When the substrate images are compared, because the red light and green light are reflected, particularly diffuse reflection, by the hot stamping area in the substrate images is very small, and corresponding pixel values are very small, high-pass filtering is firstly carried out on the substrate images, a threshold value is set according to the pixel values of the images of the hot stamping area in the standard product images, the pixel area higher than the set threshold value in the substrate images is reserved, and the hot stamping area returns to zero. The standard image and the detected image are processed in the same way. And then, carrying out image matching on the processed detected substrate image and a corresponding substrate image in a standard image library, wherein the image matching can be carried out by adopting a conventional image comparison algorithm. And respectively determining similarity values of the substrate image and at least three standard substrate images in the standard image library, and averaging the obtained similarity values to obtain the similarity of the product substrate image.
And finally, comparing the white light images, wherein the absorption and reflection of each region in the white light images are closer to the observation of naked eyes, so that the white light images are compared with the whole image. When the white light images are compared, the white light images of the detected product and the white light images of the standard product are directly input into the image comparison software for comparison, and the similarity of the white light images of the product is obtained.
And finally, calculating the comprehensive similarity value of the detected product and the standard product by using the following formula:
S＝a1×μ1+b1×μ2+c1×μ3+a2×μ1×μ2+b2×μ2×μ3+c2×μ3×μ1+d
(1)
wherein, a1、b1、c1、a2、b2、c2And d is a proportionality coefficient, μ1、μ2、μ3Respectively representing similarity values obtained after the background image, the substrate image and the white light image are compared with the corresponding standard images.
To determine a1、b1、c1Preparing a certain quantity of defective products containing various defects, putting the defective products into a detection system, respectively shooting three types of images of the defective products, and respectively comparing the three types of images of the defective products with standard products to obtain corresponding similarity values.
Is a1、b1、c1、a2、b2、c2And d, respectively setting initial values, respectively substituting the similarity value of each defective product and the similarity value of each standard product into the formula, obtaining a test value for each product, determining a classification threshold value according to the quantity ratio of the defective products to the qualified products based on the obtained test values, classifying all the products based on the classification threshold value, comparing the obtained classification with the real classification, determining the classification accuracy, and continuously iteratively adjusting each parameter until the classification accuracy reaches the accuracy threshold value.
In practical application, if the classification accuracy still cannot reach the threshold value after the iteration number exceeds a certain value, a secondary term and a tertiary term can be added for iteration. The inventors could achieve convergence after several thousand iterations in the test, and therefore, no quadratic term needs to be added.
After the above parameters are obtained, the subsequent detected product only needs to be subjected to image comparison to obtain a corresponding similarity value, and the similarity value is substituted into the formula (1), so that whether the detected image is a qualified product can be judged based on the calculation result and the similarity threshold value.
The existing product quality detection method generally adopts a feature detection method based on machine vision, for example, software such as Halcon and VisionPro is used for image matching. However, these methods generally perform segmentation, measurement, and positioning based on RGB pixel values or gray scale values of a target image, and this method must be based on accurate detection and positioning of edges to obtain accurate detection results, and for a gold stamping product, due to the phenomena of local reflection, erroneous judgment is easily caused.
The method of the invention respectively shoots the products by adopting the monochromatic background light matched with the gold stamping color and the substrate light source and the white light source not matched with the gold stamping color, separately extracts the similarity of the gold stamping area and the non-gold stamping area, combines the comprehensive similarity detection and the iterative matching method, can more effectively solve the detection problem of the gold stamping products, and greatly reduces the misjudgment and improves the detection accuracy compared with the detection method based on machine vision.
Experimental verification
In order to test the effect of the embodiment of the invention, the applicant takes the outer package of the gold stamping cigarette case as a detected product, and adopts a conventional multi-light source (multi-angle irradiation) machine vision detection device and the detection device of the invention to respectively detect 5000 products, and because the defective rate of normal products is not high, 200 defective products are mixed in 5000 products and marked on the back of the products, namely 4800 standard products and 200 defective products, wherein 30 defective products are only tiny defects.
The test results are shown in the following table:
from experimental verification and practical application conditions, the detection accuracy of the detection system is obviously improved, even tiny flaws can be basically detected, and false detection is almost avoided.
While the principles of the invention have been described in detail in connection with the preferred embodiments thereof, it will be understood by those skilled in the art that the foregoing embodiments are merely illustrative of exemplary implementations of the invention and are not limiting of the scope of the invention. The details of the embodiments are not to be interpreted as limiting the scope of the invention, and any obvious changes, such as equivalent alterations, simple substitutions and the like, based on the technical solution of the invention, can be interpreted without departing from the spirit and scope of the invention.
Claims (10)
1. A stamping system with an automatic stamping quality detection device, the stamping system comprising: the laser transfer film unwinding device (210), the laser transfer film winding device (220) and the imprinting transfer device (230), wherein the imprinting transfer device is installed between the laser transfer film unwinding device and the laser transfer film winding device, the laser transfer film unwinding device is characterized by further comprising an automatic hot stamping quality detection device, the automatic hot stamping quality detection device is arranged at the downstream of the imprinting transfer device (230), the automatic hot stamping quality detection device comprises a light source (101), an image acquisition device (102) and an image processing device (103), the image acquisition device is used for acquiring hot stamping product images irradiated by various different light sources and carrying out inferior-quality detection based on the difference between each image and a standard image, the light source at least comprises a background light source, a substrate light source and a white light source, and the three light sources are arranged at one side of the imprinting transfer device, the irradiation angles of the background light source and the substrate light source are the same, the irradiation angle of the white light source is different from the irradiation angle of the background light source and the substrate light source, the image acquisition device is arranged on the other side of the impression transfer device and is arranged asymmetrically with the light source, wherein the background light source and the substrate light source are determined according to the following mode: shooting a sample image of a target product under the condition of white light source illumination; performing image segmentation on the sample image, and determining a gold stamping area and a non-gold stamping area; extracting RGB values of a gold stamping area in a sample image, determining an average value of the RGB values of the gold stamping area, determining the color of the gold stamping area, and determining an absorption peak corresponding to the color according to the color of the gold stamping area; selecting a background light source according to an absorption peak of the gold stamping area, so that the light-emitting wavelength of the background light source is approximately corresponding to the absorption peak; extracting RGB values of a non-gold stamping area, determining an average value of the RGB values of the non-gold stamping area, determining the color of the non-gold stamping area and an absorption peak corresponding to the color based on the average value, and selecting the light-emitting wavelength of a substrate light source according to the absorption peak, so that the substrate light source at least comprises two light sources, and the light-emitting wavelengths of the two light sources are respectively positioned at two sides of the absorption peak.
2. The hot stamping system according to claim 1, wherein the image processing device performs defective detection based on three images and determines whether the target product is defective according to defective detection results of the three images, respectively.
3. The stamping system of claim 1, wherein the image processing device determines whether the target product is defective based on the combined similarity of the three images.
4. The stamping system of claim 1, wherein the image processing device comprises a boundary identification module, an image cropping module, a feature extraction module, and an image classifier.
5. The stamping system of claim 4, wherein the image classifier is pre-trained.
6. The stamping system of claim 4, wherein the image cropping module crops the target area based on the target area boundary information identified by the boundary identification module.
7. The stamping system according to claim 1, wherein the image acquisition device (102) acquires background images, substrate images and white light images of the inspected product and the standard product, or background images, substrate images and white light images of the inspected product, the standard product and the defective product, respectively.
8. The stamping system of claim 1, wherein the integrated similarity value of the inspected product and the standard product is calculated using the following formula: wherein a is1、b1、c1、a2、b2、c2And d is a proportionality coefficient which respectively represents similarity values obtained after the background image, the substrate image and the white light image are compared with the corresponding standard images.
9. The stamping system of claim 8, wherein the image similarity value is calculated by a hash perception algorithm.
10. Use of the system as claimed in claim 1 for testing of gold stamped products, including cigarette packs.
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