CN113298787A - Plate edge sealing defect detection method, controller and computer readable storage medium - Google Patents
Plate edge sealing defect detection method, controller and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a plate edge sealing defect detection method, a controller and a computer readable storage medium, wherein the method is applied to the controller in a plate edge sealing defect detection system, and the method comprises the following steps: controlling the code scanning gun to obtain plate attribute information; controlling the illumination brightness of the light source according to the plate attribute information; controlling the optical fiber sensor and the encoder to detect the plate to obtain plate space position information; controlling the line scanning camera to shoot the plate according to the plate space position information to obtain a plate edge sealing image; and analyzing and processing the edge sealing image of the plate to obtain edge sealing defect information of the plate. Through the technical scheme of the embodiment, intelligent plate edge sealing defect detection can be realized, the labor cost is saved, and the plate edge sealing detection efficiency is improved.
Description
Technical Field
The invention relates to the field of plate detection, in particular to a plate edge sealing defect detection method, a controller and a computer readable storage medium.
Background
Panel furniture is generally assembled by panels of different sizes, and for the aesthetic property and durability of assembly, the panels are often sealed by sealing tapes; however, the edge sealing quality of the plate material is generally detected in a manual manner, which increases labor cost and reduces the efficiency of edge sealing detection of the plate material.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art.
Therefore, the invention provides the plate edge sealing defect detection method, which can realize intelligent plate edge sealing defect detection, save labor cost and improve plate edge sealing detection efficiency.
The invention further provides a controller applying the plate edge sealing defect detection method.
The invention further provides a computer readable storage medium applying the plate edge sealing defect detection method.
According to an embodiment of the first aspect of the present invention, the method for detecting edge sealing defects of a sheet material is applied to a controller in a sheet material edge sealing defect detection system, the sheet material edge sealing defect detection system further includes a code scanning gun, an optical fiber sensor, an encoder, a light source and a line scanning camera, the code scanning gun, the optical fiber sensor, the encoder, the light source and the line scanning camera are all connected to the controller, and the method includes:
controlling the code scanning gun to obtain plate attribute information;
controlling the illumination brightness of the light source according to the plate attribute information;
controlling the optical fiber sensor and the encoder to detect the plate to obtain plate space position information;
controlling the line scanning camera to shoot the plate according to the plate space position information to obtain a plate edge sealing image;
and analyzing and processing the edge sealing image of the plate to obtain edge sealing defect information of the plate.
The method for detecting the edge sealing defect of the plate provided by the embodiment of the invention at least has the following beneficial effects: firstly, acquiring attribute information of a plate by using a code scanning gun, and then controlling the illumination brightness of a light source according to the acquired attribute information, wherein the plate can be in a better detection environment by the illumination brightness of the light source; detecting the spatial position information of the plate by utilizing the mutual matching of the optical fiber sensor and the encoder, and triggering a line scanning camera to photograph the plate according to the spatial position information to obtain a plate edge sealing image; analyzing and processing the edge sealing image of the plate to finally obtain the defect information of the plate; the edge sealing defect detection of the plate is realized intelligently, the labor cost is saved, and the edge sealing detection efficiency of the plate is improved.
According to some embodiments of the present invention, the sheet material attribute information includes sheet material color information and edge sealing thickness information, a two-dimensional code is disposed on the sheet material, and the controlling the code scanning gun to obtain the sheet material attribute information includes:
controlling the code scanning gun to scan the two-dimensional code to obtain preliminary code scanning information;
and controlling the code scanning gun to decode the preliminary code scanning information to obtain the color information of the plate and the edge sealing thickness information.
According to some embodiments of the present invention, the board spatial position information includes board length information and board position information, and the controlling the optical fiber sensor and the encoder to detect the board to obtain the board spatial position information includes:
and controlling the optical fiber sensor and the encoder to detect the plate to obtain the length information and the position information of the plate.
According to some embodiments of the present invention, the system for detecting edge sealing defects of a sheet material further includes an inkjet printer, and after the analyzing and processing of the edge sealing image of the sheet material are performed to obtain information of edge sealing defects of the sheet material, the system further includes:
and controlling the ink jet machine to perform ink jet processing on the specified position of the plate according to the edge sealing defect information of the plate.
According to some embodiments of the present invention, the analyzing the edge sealing image of the plate material to obtain edge sealing defect information of the plate material includes:
decomposing the plate edge sealing image to obtain a red channel brightness image, a green channel brightness image and a blue channel brightness image;
comprehensively processing the red channel brightness image, the green channel brightness image and the blue channel brightness image to obtain a plate contour characteristic gray image and a plate defect characteristic gray image;
acquiring plate contour information and plate edge accurate position information from the plate contour characteristic gray level image;
based on the plate profile information, the plate edge accurate position information and the edge sealing thickness information, intercepting first image information from the plate defect characteristic gray level image in batch and intercepting second image information from the plate edge sealing image in batch;
performing first processing on the first image information to obtain first defect information; and carrying out second processing on the second image information to obtain second defect information;
and combining the first defect information and the second defect information to obtain the edge sealing defect information of the plate.
According to some embodiments of the invention, the first processing the first image information to obtain first defect information comprises:
performing enhancement preprocessing on the first image information to obtain preprocessed image information;
and performing threshold segmentation on the preprocessed image information to obtain the first defect information.
According to some embodiments of the invention, the second processing the second image information to obtain the second defect information comprises:
and performing second processing on the second image information by using a semantic segmentation deep learning model to obtain second defect information.
According to some embodiments of the present invention, the system for detecting edge sealing defects of a sheet material further includes a server, the server is connected to the controller, and the server controls the code scanning gun to decode the preliminary code scanning information to obtain the color information and the edge sealing thickness information of the sheet material, including:
controlling the code scanning gun to decode the preliminary code scanning information to obtain decoding information;
and downloading the plate color information and the edge sealing thickness information corresponding to the decoding information from the server according to the decoding information.
A controller according to an embodiment of the second aspect of the invention comprises: the device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the plate edge sealing defect detection method.
The controller according to the embodiment of the invention has at least the following beneficial effects: firstly, acquiring attribute information of a plate by using a code scanning gun, and then controlling the illumination brightness of a light source according to the acquired attribute information, wherein the plate can be in a better detection environment by the illumination brightness of the light source; detecting the spatial position information of the plate by utilizing the mutual matching of the optical fiber sensor and the encoder, and triggering a line scanning camera to photograph the plate according to the spatial position information to obtain a plate edge sealing image; analyzing and processing the edge sealing image of the plate to finally obtain the defect information of the plate; the edge sealing defect detection of the plate is realized intelligently, the labor cost is saved, and the edge sealing detection efficiency of the plate is improved.
According to the third aspect of the present invention, the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by the control processor, the method for detecting edge banding defects of a plate material is implemented as described above.
The computer-readable storage medium according to the embodiment of the invention has at least the following advantages: firstly, acquiring attribute information of a plate by using a code scanning gun, and then controlling the illumination brightness of a light source according to the acquired attribute information, wherein the plate can be in a better detection environment by the illumination brightness of the light source; detecting the spatial position information of the plate by utilizing the mutual matching of the optical fiber sensor and the encoder, and triggering a line scanning camera to photograph the plate according to the spatial position information to obtain a plate edge sealing image; analyzing and processing the edge sealing image of the plate to finally obtain the defect information of the plate; the edge sealing defect detection of the plate is realized intelligently, the labor cost is saved, and the edge sealing detection efficiency of the plate is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method for detecting edge banding defects of a sheet material according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for detecting edge sealing defects of a sheet material according to an embodiment of the present invention for obtaining attribute information of the sheet material;
FIG. 3 is a flowchart of a method for detecting edge banding defects of a sheet material according to an embodiment of the present invention for obtaining spatial information of the sheet material;
FIG. 4 is a flow chart of a method for marking an edge banding defect of a sheet material according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating an image analysis of a method for detecting edge banding defects of a sheet material according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating a first process of a method for detecting edge banding defects of a sheet material according to an embodiment of the present invention;
FIG. 7 is a flowchart illustrating a second process of a method for detecting edge banding defects of a sheet material according to an embodiment of the present invention;
FIG. 8 is a flowchart illustrating a method for detecting edge banding defects of a sheet material to obtain sheet material property information according to another embodiment of the present invention;
fig. 9 is a schematic diagram of a controller according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
Referring to fig. 1, according to an embodiment of the first aspect of the present invention, there is provided a method for detecting an edge sealing defect of a plate, which is applied to a controller in a plate edge sealing defect detection system, where the plate edge sealing defect detection system further includes a code scanning gun, an optical fiber sensor, an encoder, a light source, and a line scanning camera, and the code scanning gun, the optical fiber sensor, the encoder, the light source, and the line scanning camera are all connected to the controller, and the method includes, but is not limited to, step S100, step S200, step S300, step S400, and step S500.
S100, controlling a code scanning gun to obtain plate attribute information;
step S200, controlling the illumination brightness of a light source according to the plate attribute information;
step S300, controlling the optical fiber sensor and the encoder to detect the plate to obtain plate space position information;
step S400, controlling a line scanning camera to photograph the plate according to the plate space position information to obtain a plate edge sealing image;
and S500, analyzing the edge sealing image of the plate to obtain edge sealing defect information of the plate.
In one embodiment, the code scanning gun, the optical fiber sensor, the encoder, the light source and the line scanning camera are all connected with the controller, so that the code scanning gun, the optical fiber sensor, the encoder, the light source and the line scanning camera are all controlled by the controller; firstly, acquiring attribute information of a plate by using a code scanning gun, and then controlling the illumination brightness of a light source according to the acquired attribute information, wherein the plate can be in a better detection environment by the illumination brightness of the light source; detecting the spatial position information of the plate by utilizing the mutual matching of the optical fiber sensor and the encoder, and triggering a line scanning camera to photograph the plate according to the spatial position information to obtain a plate edge sealing image; analyzing and processing the edge sealing image of the plate to finally obtain the defect information of the plate; the edge sealing defect detection of the plate is realized intelligently, the labor cost is saved, and the edge sealing detection efficiency of the plate is improved.
The two-dimensional code is arranged on the plate, and in the detection process, the two-dimensional code on the plate is scanned by using a code scanning gun to obtain attribute information of the corresponding plate; because the characteristics of different plates are different, the illumination brightness of the light source can be controlled according to the obtained attribute information, so that the plates can be detected in a better detection environment; the optical fiber sensor and the encoder can be utilized to detect and process the position of the plate, the trigger line scanning camera shoots the plate according to the detected plate space position information, the plate edge sealing image is collected, then the plate edge sealing image is analyzed and processed, and finally the plate edge sealing defect information is obtained.
It should be noted that, it is the prior art to detect the spatial position information during the sheet material transportation process by using the optical fiber sensor and the encoder, and the detailed description is omitted here.
It will be appreciated that the light source may be a light.
Referring to fig. 2, the sheet material attribute information includes sheet material color information and edge sealing thickness information, a two-dimensional code is provided on the sheet material, and the sheet material attribute information is obtained in step S100, which includes, but is not limited to, step S110 and step S120.
Step S110, controlling a code scanning gun to scan the two-dimensional code to obtain preliminary code scanning information;
and step S120, controlling the code scanning gun to decode the preliminary code scanning information to obtain the color information and the edge sealing thickness information of the plate.
In one embodiment, the controller controls the code scanning gun to scan the two-dimensional code to obtain preliminary code scanning information, then controls the code scanning gun to decode the preliminary code scanning information, and finally obtains plate color information and edge sealing thickness information; and then, the controller controls and processes the illumination brightness of the light source according to the color information and the edge sealing thickness information of the plate.
Referring to fig. 3, the plate material spatial position information includes plate material length information and plate material position information, and the plate material spatial position information is obtained in the above step S300, including but not limited to step S310.
And S310, controlling the optical fiber sensor and the encoder to detect the plate to obtain plate length information and plate position information.
In an embodiment of the present invention, the controller controls the optical fiber sensor and the encoder to detect the position of the sheet and the length of the sheet, so as to obtain the length information and the position information of the sheet.
Referring to fig. 4, in another embodiment provided by the present invention, the system for detecting edge banding defects of a plate material further includes an inkjet printer, and further includes, but is not limited to, step S600 after step S500.
And step S600, controlling an ink jet machine to perform ink jet processing on the specified position of the plate according to the edge sealing defect information of the plate.
In an embodiment of the invention, the controller may further control the inkjet machine to perform inkjet processing on the defective position of the plate according to the edge sealing defect information of the plate, so as to facilitate subsequent manual inspection processing.
Referring to fig. 5, in the step S500, the image analysis of the edge banding image of the plate material is performed, including but not limited to the steps S510, S520, S530, S540, S550 and S560.
Step S510, decomposing the plate edge sealing image to obtain a red channel brightness image, a green channel brightness image and a blue channel brightness image;
step S520, comprehensively processing the red channel brightness image, the green channel brightness image and the blue channel brightness image to obtain a plate contour characteristic gray image and a plate defect characteristic gray image;
step S530, acquiring plate contour information and plate edge accurate position information from the plate contour characteristic gray level image;
step S540, based on the plate contour information, the plate edge accurate position information and the edge sealing thickness information, intercepting first image information in batches from a plate defect characteristic gray level image and intercepting second image information in batches from a plate edge sealing image;
step S550, performing first processing on the first image information to obtain first defect information; and performing second processing on the second image information to obtain second defect information;
and step S560, merging the first defect information and the second defect information to obtain edge sealing defect information of the plate.
In one embodiment, firstly, decomposing the edge sealing image of the plate to obtain a red channel brightness image, a green channel brightness image and a blue channel brightness image; then comprehensively processing the red channel brightness image, the green channel brightness image and the blue channel brightness image to obtain a plate contour characteristic gray image and a plate defect characteristic gray image; acquiring plate contour information and plate edge accurate position information from the plate contour characteristic gray level image; secondly, based on the plate contour information, the accurate position information of the plate edge and the edge sealing thickness information, intercepting first image information in batches from the defect characteristic gray level image of the plate and intercepting second image information in batches from the edge sealing image of the plate; then, carrying out first processing on the first image information to obtain first defect information and carrying out second processing on the second image information to obtain second defect information; and finally, combining the first defect information and the second defect information to obtain edge sealing defect information of the plate.
The edge sealing defect information of the plate can comprise the defect position and the defect size of the plate.
The comprehensive treatment principle of red, green and blue (R, G, B) can be as follows: l1 represents a characteristic grayscale image of the sheet profile, and L2 represents a characteristic grayscale image of the sheet defect.
The L1 image calculation formula is as follows:
l1(i, j) ═ a 1R (i, j) + B1G (i, j) + c 1B (i, j) + d1, where i and j are the row and column coordinates of the image.
The L2 image calculation formula is as follows
L2(i, j) ═ a 2R (i, j) + B2G (i, j) + c 2B (i, j) + d2, where i and j are the row and column coordinates of the image. Wherein, a1, b1, c1, d1, a2, b2, c2 and d2 are determined according to image effects.
The plate profile searching algorithm can be as follows:
the edge contour of the plate is generally approximate to horizontal or vertical, so the contour area of the plate is obtained by adopting a horizontal projection method and a vertical projection method.
Projecting horizontally, summing rows and columns of L1 image arrays, i.e.
Projecting in the vertical direction, summing arrays of L1 images, i.e.
The following calculations were performed for L1r (i) and L1c (j), respectively
dL1r(i)＝L1r(i+1)-L1r(i)；
dL1c(j)＝L1c(j+1)-L1c(j)；
The maximum values found for dL1r (i) and dL1c (j) were dL1rMax and dL1cMax, respectively.
If dL1rMax is greater than the profile determination value, then the horizontal profile of the sheet is near dL1rMax — i where dL1rMax is located.
If dL1cMax is greater than the profile determination value, then the horizontal profile of the sheet is near dL1cMax — j where dL1rcMax is located.
The specific principle of finding the accurate position of the edge of the plate can include:
the method comprises the following steps of accurately searching the edge of the plate near the edge of the outline of the plate:
the edge of the plate is generally approximately horizontal or vertical, and the edge point in the horizontal direction is searched in the horizontal contour area of the plate, and the edge point in the vertical direction is searched in the vertical contour area of the plate. In particular to a horizontal direction template p adopting a Prewitt operatorxAnd a vertically oriented template pyAnd detecting edge points of the plate in the horizontal direction and the vertical direction.
Fitting edge point straight lines, and specifically comprising the following steps:
the method adopts a least square method to fit a straight line, and comprises the following specific steps:
the linear equation for a point is given by y ═ a + bx, where x and y are the coordinates of the point, respectively.
The existing N edge points are as follows: (x)i,yi) Where i is 1,2, …, N
The objective of the least squares method to estimate the parameters is to minimize the following:
The edge point lines are as follows:
referring to fig. 6, the first processing, including but not limited to step S5510 and step S5520, is performed on the first image information in step S550 described above.
Step S5510, carry on the enhancement preconditioning to the first image information, receive the preconditioning image information;
step S5520, threshold segmentation is performed on the preprocessed image information to obtain first defect information.
In an embodiment, the first image information obtained by interception is subjected to enhancement preprocessing to obtain preprocessed image information, and then the preprocessed image information is subjected to threshold segmentation to obtain first defect information.
The method can be used for detecting the defects of glue overflow, glue shortage and collapse of the pure-color plate.
It should be noted that, image enhancement algorithms are often used to adjust brightness, contrast, saturation, hue, etc. of an image, to increase its definition, to reduce noise, etc. The image enhancement is usually performed by combining a plurality of algorithms, for example, the image drying is equal to a low-pass filter, the image sharpness is increased by a high-pass filter, and naturally, the enhancement of one image is mainly used for finally obtaining useful information of the image.
It should be noted that both the enhanced preprocessing and the threshold segmentation are prior art and will not be described in detail here.
Referring to fig. 7, the second processing is performed on the second image information in step S550 described above, including but not limited to step S5530.
Step S5530, perform a second process on the second image information by using the semantic segmentation depth learning model to obtain second defect information.
The method described above can detect chipping defects in a plate material having a complicated pattern.
The semantic segmentation deep learning model firstly acquires a defect image in the training process, then carries out accurate marking on the defect region of the image, then carries out defect image training, then tests the deep learning defect detection rate and the omission ratio, and repeats the above processes until the defect detection rate and the omission ratio reach the set requirements.
Referring to fig. 8, the sheet property information obtained in step S120 includes, but is not limited to, step S1210 and step S1220.
Step S1210, controlling a code scanning gun to decode the preliminary code scanning information to obtain decoding information;
and step S1220, according to the decoding information, downloading the plate color information and the edge sealing thickness information corresponding to the decoding information from the server.
In one embodiment, in the embodiment of the invention, the server stores attribute information of various plates, and the controller only needs to control the code scanning gun to decode the preliminary code scanning information to obtain decoded information; and then, according to the decoding information, the plate color information and the edge sealing thickness information corresponding to the decoding information can be downloaded from the server, and the process is simple, convenient and quick.
Referring to fig. 9, according to an embodiment of the second aspect of the present invention, there is provided a controller 600 including at least one processor 700 and a memory 800 for communicative connection with the at least one processor 700; the memory 800 stores instructions executable by the at least one processor 700 to cause the at least one processor 700 to perform the method for edge sealing defect detection of a sheet material in accordance with the embodiments described above. For example, the above-described method steps S100 to S500 in fig. 1, method steps S110 to S120 in fig. 2, method step S310 in fig. 3, method step S600 in fig. 4, method steps S510 to S560 in fig. 5, method steps S5510 to S5520 in fig. 6, method step S5530 in fig. 7 and method steps S1210 to S1220 in fig. 8 are performed.
It should be noted that, since the controller 600 in this embodiment is based on the same inventive concept as the edge sealing defect detecting method in the foregoing embodiment, the corresponding contents in the method embodiment are also applicable to this system embodiment, and will not be described in detail here.
According to an embodiment of the third aspect of the present invention, a computer-readable storage medium is provided, where computer-executable instructions are stored, and when executed by a control processor, the method for detecting edge banding defects of a plate material in the foregoing embodiments is implemented. For example, the above-described method steps S100 to S500 in fig. 1, method steps S110 to S120 in fig. 2, method step S310 in fig. 3, method step S600 in fig. 4, method steps S510 to S560 in fig. 5, method steps S5510 to S5520 in fig. 6, method step S5530 in fig. 7 and method steps S1210 to S1220 in fig. 8 are performed.
It should be noted that, since the computer-readable storage medium in this embodiment is based on the same inventive concept as the edge sealing defect detection method in the foregoing embodiment, the corresponding contents in the method embodiment are also applicable to this system embodiment, and will not be described in detail herein.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. The method for detecting the edge sealing defect of the plate is characterized by being applied to a controller in a plate edge sealing defect detection system, the plate edge sealing defect detection system further comprises a code scanning gun, an optical fiber sensor, an encoder, a light source and a line scanning camera, the code scanning gun, the optical fiber sensor, the encoder, the light source and the line scanning camera are all connected with the controller, and the method comprises the following steps:
controlling the code scanning gun to obtain plate attribute information;
controlling the illumination brightness of the light source according to the plate attribute information;
controlling the optical fiber sensor and the encoder to detect the plate to obtain plate space position information;
controlling the line scanning camera to shoot the plate according to the plate space position information to obtain a plate edge sealing image;
and analyzing and processing the edge sealing image of the plate to obtain edge sealing defect information of the plate.
2. The method for detecting edge sealing defects of plates according to claim 1, wherein the plate attribute information includes plate color information and edge sealing thickness information, a two-dimensional code is arranged on the plate, and the controlling the code scanning gun to obtain the plate attribute information includes:
controlling the code scanning gun to scan the two-dimensional code to obtain preliminary code scanning information;
and controlling the code scanning gun to decode the preliminary code scanning information to obtain the color information of the plate and the edge sealing thickness information.
3. The method for detecting edge sealing defects of plates according to claim 1, wherein the spatial position information of the plates comprises plate length information and plate position information, and the step of controlling the optical fiber sensor and the encoder to detect the plates to obtain the spatial position information of the plates comprises the steps of:
and controlling the optical fiber sensor and the encoder to detect the plate to obtain the length information and the position information of the plate.
4. The method according to claim 1, wherein the system further comprises an inkjet printer, and after the analyzing the edge sealing image of the plate is performed to obtain the edge sealing defect information of the plate, the method further comprises:
and controlling the ink jet machine to perform ink jet processing on the specified position of the plate according to the edge sealing defect information of the plate.
5. The method according to claim 2, wherein the analyzing the edge sealing image of the plate material to obtain edge sealing defect information of the plate material comprises:
decomposing the plate edge sealing image to obtain a red channel brightness image, a green channel brightness image and a blue channel brightness image;
comprehensively processing the red channel brightness image, the green channel brightness image and the blue channel brightness image to obtain a plate contour characteristic gray image and a plate defect characteristic gray image;
acquiring plate contour information and plate edge accurate position information from the plate contour characteristic gray level image; based on the plate profile information, the plate edge accurate position information and the edge sealing thickness information, intercepting first image information from the plate defect characteristic gray level image in batch and intercepting second image information from the plate edge sealing image in batch;
performing first processing on the first image information to obtain first defect information; and carrying out second processing on the second image information to obtain second defect information;
and combining the first defect information and the second defect information to obtain the edge sealing defect information of the plate.
6. The method for detecting edge sealing defects of plates according to claim 5, wherein the performing the first processing on the first image information to obtain first defect information comprises:
performing enhancement preprocessing on the first image information to obtain preprocessed image information;
and performing threshold segmentation on the preprocessed image information to obtain the first defect information.
7. The method for detecting edge sealing defects of plates according to claim 5, wherein the second processing the second image information to obtain the second defect information comprises:
and performing second processing on the second image information by using a semantic segmentation deep learning model to obtain second defect information.
8. The method for detecting edge sealing defects of sheet materials according to claim 2, wherein the system further comprises a server, the server is connected to the controller, and the server controls the code scanning gun to decode the preliminary code scanning information to obtain the color information and the edge sealing thickness information of the sheet materials, and the method comprises:
controlling the code scanning gun to decode the preliminary code scanning information to obtain decoding information;
and downloading the plate color information and the edge sealing thickness information corresponding to the decoding information from the server according to the decoding information.
9. A controller, comprising: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the edge banding defect detection method of a plate material according to any one of claims 1 to 8.
10. A computer-readable storage medium having stored thereon computer-executable instructions for performing the method of edge banding defect detection of a sheet material of any one of claims 1 to 8.
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