CN114612427A - Nameplate defect detection method, device, electronic equipment and storage medium - Google Patents

Abstract

The application relates to a nameplate defect detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a first picture obtained by photographing a nameplate; identifying the first picture, and determining a template picture corresponding to the first picture and a date area in the first picture; erasing the date in the date area in the first picture to obtain a second picture; and comparing the second picture with the template picture to determine the defect area of the nameplate. The scheme provided by the invention can realize the detection of the nameplate defect.

Description

Nameplate defect detection method, device, electronic equipment and storage medium

technical field

The present application relates to the technical field of defect detection, and in particular, to a method, device, electronic device and storage medium for nameplate defect detection.

Background technique

Laser marking instruments on the market have a wide range of applications. Before marking, users need to import patterns or texts, adjust parameters, fill, etc. The nameplate is defective, which affects subsequent production.

At present, in the actual production environment, the nameplate is checked by manual first inspection. There are many characters on the nameplate, and the manual review has fatigue and other factors, which reduces the production efficiency.

SUMMARY OF THE INVENTION

The present application provides a nameplate defect detection method, device, electronic device and storage medium, so as to solve the technical problem of low production efficiency caused by manual detection of nameplate defects.

In a first aspect, the application provides a method for detecting a nameplate defect, the method comprising:

Obtain the first picture obtained by taking a photo of the nameplate;

Identifying the first picture, determining the template image corresponding to the first picture and the date area in the first picture;

Erase the date in the date area in the first picture to obtain a second picture;

The second picture is compared with the template image to determine the defective area of the nameplate.

In one embodiment, the identifying the first picture and determining the template picture corresponding to the first picture and the date area in the first picture include:

Identifying the first picture, determining a barcode area in the first picture, and acquiring barcode characters in the barcode area;

Based on the barcode characters, searching for a template image corresponding to the barcode character in a preset template image set;

Using the barcode area, the date area in the first picture is determined based on the corresponding relationship between the barcode area and the date area.

In one embodiment, before erasing the date in the date area in the first picture, the method further includes:

Get the date within the date range;

Determine whether the date is consistent with the preset date;

When the date is inconsistent with the preset date, it is determined that the defective area of the nameplate includes the date area.

In one embodiment, based on the barcode character, searching for a template image corresponding to the barcode character in a preset template image set includes:

Based on the barcode characters, determine whether a template image corresponding to the barcode character is found in a preset template image set;

When a template image corresponding to the barcode character is found in a preset template image set, acquiring the template image;

When the template image corresponding to the barcode character is not found in the preset template image set, prompt to input the correct barcode.

In one embodiment, before comparing the second picture with the template image, the method further includes:

Identifying the template map, and determining the date region in the template map;

Erase the date in the date field in the template image.

In one embodiment, the described second picture is compared with the template image, and it is determined that the defective area of the nameplate includes:

Perform global matching and sub-regional screenshot matching on the second picture and the template image to determine the defective area of the nameplate.

In one embodiment, performing sub-regional screenshot matching on the second picture and the template image, and determining the defective region of the nameplate includes:

respectively intercepting the second picture and the template image by region to obtain a first region picture and a second region picture;

Continuously move the coordinates of the four vertex angles in the first area picture, and match the picture after perspective transformation of the four vertex angles of the first area image with the second area image to obtain a matching result with the smallest difference;

Based on the matching results, a defective area of the nameplate is determined.

In a second aspect, the application provides a nameplate defect detection device, the nameplate defect detection device includes:

an acquisition module, used to acquire the first picture obtained by taking pictures of the nameplate;

an identification module, configured to identify the first picture, and determine the template image corresponding to the first picture and the date area in the first picture;

an erasing module for erasing the date in the date area in the first picture to obtain a second picture;

A comparison module, configured to compare the second picture with the template image to determine the defective area of the nameplate.

In a third aspect, the present application provides an electronic device, comprising: a processor and a memory for storing a computer program that can be executed on the processor; wherein,

The processor is configured to execute the steps of the method according to any one of the embodiments of the first aspect when running the computer program.

In a fourth aspect, the present application provides a storage medium, where a computer program is stored in the storage medium, wherein when the computer program is executed by a processor, the method according to any one of the embodiments of the first aspect is implemented. A step of.

Compared with the prior art, the above-mentioned technical solutions provided in the embodiments of the present application have the following advantages:

The method provided by the embodiment of the present application can not only identify the characters in the nameplate, but also identify the icons in the nameplate, and can realize the accurate detection of the defects of the nameplate.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. In other words, on the premise of no creative labor, other drawings can also be obtained from these drawings.

1 is a schematic flowchart of a method for detecting a nameplate defect provided in an embodiment of the present application;

2 is a schematic diagram of the overall process of nameplate defect detection in an application embodiment of the present application;

3 is a schematic structural diagram of a nameplate defect detection device according to an application embodiment of the present application;

4 is a schematic diagram of a set of template diagrams preset by an application embodiment of the present application;

5 is a schematic diagram of two template diagrams in a template diagram set preset by an application embodiment of the present application;

FIG. 6 is a schematic diagram of the effect of converting a picture to positive according to an application embodiment of the present application;

7 is a schematic diagram of a barcode character recognition process according to an application embodiment of the present application;

8 is a schematic diagram of date location detection in an application embodiment of the present application;

9 is a schematic diagram of template matching according to an application embodiment of the present application;

10 is a schematic diagram of the detection result of the application embodiment of the present application;

FIG. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present application.

FIG. 1 is a schematic flowchart of a method for detecting a nameplate defect according to an embodiment of the present application. As shown in Figure 1, the method includes:

Step 101: Obtain the first picture obtained by taking pictures of the nameplate;

Step 102: Identify the first picture, and determine the template image corresponding to the first picture and the date area in the first picture;

Step 103: Erase the date in the date area in the first picture to obtain a second picture;

Step 104: Compare the second picture with the template image to determine the defective area of the nameplate.

Specifically, the template drawing in this embodiment may be a CAD drawing based on which the nameplate is manufactured. In practical application, the template diagram can be commanded with the barcode characters in the diagram, which is easy to find.

Since the nameplate will change the date in the date area in the CAD drawing based on the date during the production process, in order to achieve accurate identification, the date in the date area in the first picture needs to be erased to obtain the second picture. Use the second image to compare with the template image to detect the defective area in the nameplate.

Further, before identifying the first picture, the first picture may be converted to a normal position. Specifically: obtain the maximum connected domain of the first picture, obtain the outline of the border and the minimum circumscribed rectangle on the periphery of the first picture, take 1/4 of the shortest side of the circumscribed rectangle as the length, and 5 pixels as the step size, and use the step size to traverse the maximum For the points in the connected domain, a line segment is obtained by traversing each time, and the slope and offset are calculated according to the starting point; the data is divided into four groups of collinear data according to the slope angle, and the mean value of the slope and offset is taken as the best value. Fitting to get four straight lines fitted by the border. Obtain the four intersection points of the straight line and perform perspective transformation on the picture to obtain a normalized picture.

In one embodiment, the identifying the first picture and determining the template picture corresponding to the first picture and the date area in the first picture include:

Identifying the first picture, determining a barcode area in the first picture, and acquiring barcode characters in the barcode area;

Based on the barcode characters, searching for a template image corresponding to the barcode character in a preset template image set;

Using the barcode area, the date area in the first picture is determined based on the corresponding relationship between the barcode area and the date area.

Since the barcode area is generally located at the lower right corner of the nameplate, you can first take a screenshot of the bottom 1/3 area in the first picture, and process the bottom 1/3 area to determine the barcode area in the first picture. Here, the 1/3 area at the bottom is processed, specifically: calculating the gradients in the x and y directions in the 1/3 area, subtracting the y direction gradient from the x direction gradient to obtain the absolute value, and performing multiple expansion and Erosion operation to get the largest contour in the 1/3 area for the barcode. Further, it is desirable to extend down 1/2 of the height of the barcode to obtain barcode numbers, and use deep learning convolutional neural network to perform character recognition to obtain barcode characters.

In one embodiment, before erasing the date in the date area in the first picture, the method further includes:

Get the date within the date range;

Determine whether the date is consistent with the preset date;

When the date is inconsistent with the preset date, it is determined that the defective area of the nameplate includes the date area.

In practical application, before erasing the date, the date can be judged first. If the date is inconsistent with the preset date, it is judged that the date area is a defective area. If the date is consistent with the preset date, then Erase the date in the date field and proceed with the detection of nameplate defects.

Here, it should be noted that in this embodiment, all areas of the nameplate are identified, and all defective areas are identified. Therefore, during identification, there may be multiple defective areas. Here, when it is recognized that the date is inconsistent with the preset date, it can be determined that the date area of the nameplate is one of the defective areas.

Specifically, after the date area is determined, character recognition may be used to determine the date in the date area.

In one embodiment, based on the barcode character, searching for a template image corresponding to the barcode character in a preset template image set includes:

Based on the barcode characters, determine whether a template image corresponding to the barcode character is found in a preset template image set;

When a template image corresponding to the barcode character is found in a preset template image set, acquiring the template image;

When the template image corresponding to the barcode character is not found in the preset template image set, prompt to input the correct barcode.

Since the barcode characters may be changed in the actual process, in order to avoid the inability to detect defects on the nameplate, when the template image corresponding to the barcode character is not found in the preset template image set, a prompt to input the correct barcode . in order to proceed with the detection of nameplate defects.

In one embodiment, before comparing the second picture with the template image, the method further includes:

Identifying the template map, and determining the date region in the template map;

Erase the date in the date field in the template image.

Specifically, a date area also exists in the template image, and the content in the date area is generally in YYYY.MM format. In order to successfully detect the nameplate defects, the date in the date area in the template diagram should also be erased.

Further, the completion process of this embodiment may be:

Identifying the template map, and determining the date region in the template map;

Erase the date in the date field in the template image.

Obtain the first picture obtained by taking a photo of the nameplate;

Identifying the first picture, determining the template image corresponding to the first picture and the date area in the first picture;

Erase the date in the date area in the first picture to obtain a second picture;

The second picture is compared with the template image to determine the defective area of the nameplate.

In one embodiment, the described second picture is compared with the template image, and it is determined that the defective area of the nameplate includes:

Perform global matching and sub-regional screenshot matching on the second picture and the template image to determine the defective area of the nameplate.

Since the second picture is quite different from the template picture (for example, the characters are fat and thin, etc.), the detection accuracy can be improved and the false detection rate can be reduced by means of global matching and sub-regional screenshot matching.

In one embodiment, performing sub-regional screenshot matching on the second picture and the template image, and determining the defective region of the nameplate includes:

respectively intercepting the second picture and the template image by region to obtain a first region picture and a second region picture;

Continuously move the coordinates of the four vertex angles in the first area picture, and match the picture after perspective transformation of the four vertex angles of the first area image with the second area image to obtain a matching result with the smallest difference;

Based on the matching results, a defective area of the nameplate is determined.

Specifically, for the intercepted picture, the coordinates of the four corners are continuously moved, the picture after perspective transformation of the four corners is matched with the template image, the picture with the smallest difference is obtained as the matching result, and the white area in the matching result is determined as Defect; by binarizing the matching result, the defect area can be located.

In addition, for the detection of small defects, considering the large difference between the template image and the second image, there are many false detections. Therefore, it is possible to optimize the binarized image; to expand the binarized image to enlarge the white difference area; to find the contour, cut out the difference area and further compare it with the corresponding area of the template image to obtain the final defect area.

In the nameplate defect detection method provided in the embodiment of the present application, a first picture obtained by taking pictures of a nameplate is obtained; the first picture is identified, and a template image corresponding to the first picture and a template image in the first picture are determined. date area; erasing the date in the date area from the first image to obtain a second image; comparing the second image with the template image to determine the defective area of the nameplate. The solutions provided by the embodiments of the present application can not only recognize the characters in the nameplate, but also recognize the icons in the nameplate, and can realize the accurate detection of the defects of the nameplate.

Hereinafter, the present application will be described in detail with reference to application examples.

This embodiment provides a method for detecting a nameplate defect, which can replace the manual review of the first inspection and improve the overall efficiency; can identify defects according to a template diagram; can perform automatic detection without manually establishing a template.

Specifically, referring to FIG. 2 , the overall process of the method for detecting nameplate defects in this embodiment is as follows:

Step 201: The nameplate is placed in the device; then step 202 is executed:

Here, a schematic structural diagram of the device can be shown in FIG. 3 . The device includes a lens and a camera, a bar light source, a notch for placing a nameplate, a bracket, a shading square structure, a red warning light, a green signal light and a display.

Step 202: the camera takes a picture; then step 203 is executed:

Step 203: barcode positioning; then go to step 204:

Step 204: Identify barcode characters; then go to Step 205:

Step 205: Find the CAD drawing according to the barcode;

Here, the CAD drawing refers to each template drawing in the preset template drawing set. According to the barcode, the CAD drawing in the preset template drawing set corresponding to the barcode can be found. Specifically, please refer to FIG. 4 , which shows each template image in the preset template image set. Each template drawing is in CAD format. Since the current nameplates are made based on the corresponding CAD drawings, in order to achieve the effect of reducing staff and reducing manual modeling operations, the CAD drawings corresponding to all products can be exported to a folder in the early stage, and each image is named by barcode. Use this type of exported image as a template image, which can be searched by barcode name later. FIG. 5 is a diagram of two templates in the template storage set of FIG. 4 .

If the CAD drawing is not found, go to step 206; if the CAD drawing is found, go to step 208;

Step 206: alarm prompt; then go to step 207;

Step 207: Input the correct barcode;

If it is detected that the user has input the correct barcode, then go to step 205;

Step 208: date identification and comparison; then go to step 209;

Step 209: Whether the date is successfully located;

If the date is not successfully located, go to step 210; if the date is successfully located, go to step 211;

Step 210: Date defect; then go to Step 212;

Step 211: Erase the date area, then go to Step 212;

Step 212: defect detection, and then perform step 213;

Step 213: determine whether it is defective;

If there is a defect, go to step 214; if there is no defect, go to step 215;

Step 214: alarm, the red light is on; then go to step 216;

Step 215: the amount of green light, then go to Step 216;

Step 216: Display the result.

The following will be described in detail based on the above steps.

(1) Take the left nameplate as an example in Fig. 5 and place it in the device of Fig. 2 to obtain a picture taken by a camera; obtain the maximum connected domain of the picture, obtain the frame outline and the minimum circumscribed rectangle around the picture, and take 1/4 of the shortest side of the circumscribed rectangle as the Length, 5 pixels as the step size, use this step size to traverse the points in the maximum connected domain, get a line segment each traversal, calculate the slope and offset according to the starting point; divide the data into four collinear groups of data according to the slope angle , take the mean value of the slope and the bias as the best value to perform a straight line fitting, and obtain four straight lines fitted by the frame. Obtain the four intersection points of the straight line and perform perspective transformation on the picture to obtain a normalized picture. Here, the specific positive effect can be seen in FIG. 6 .

(2) Carry out barcode positioning digital recognition, because the barcodes are located in the lower right corner of the nameplate, intercept the bottom 1/3 area for processing; calculate the gradients in the x and y directions in the image, and use the x-direction gradient to subtract the y-direction gradient to obtain the absolute value, see Figure 7. Perform multiple expansion and erosion operations on the renderings, and the largest outline in the picture is the barcode; take 1/2 of the height of the barcode and extend downward to obtain the barcode number; here, the deep learning convolutional neural network can be used to recognize the characters, Get barcode numbers.

(3) Use the barcode to obtain the CAD template image, if the barcode is not found, enter it manually; after obtaining the template image, perform date recognition and positioning (because the date format of the CAD image is in YYYY.MM format, it needs to be detected separately); first obtain the current year and month , and then intercept the local area of the date for character recognition (there may be multiple types of recognized character strings, filter to obtain character strings in date format), see Figure 8, if the recognized characters of the image match the current year and month, then the detected image will be detected on the image. Erasing this area does not perform detection, otherwise it means that there is a defect in the date area of the current picture (this method does not require manual modeling, which saves the labor of manual marking).

(4) Match the processed image with the template image, because there is a big difference between the CAD image as the template image and the actual photographed image (such as fat and thin characters, etc.), if only the global matching is used, the false detection is high, this The disposition area intercepts the picture and compares (the left one and the left second two pictures in Fig. 9); For the intercepted picture, move the four vertex coordinates continuously, match the picture after the perspective transformation of the four vertex angles with the template image, The picture with the smallest difference is obtained as the matching result, and the white area is a defect (the third picture from the left in Figure 9); the matching result is binarized (the fourth picture from the left in Figure 9), and the defect area is processed. position.

(5) For the detection of small defects, considering that the difference between the CAD image and the actual image is large, there will be more false detections, and the binary image is optimized; the binary image obtained in (4) is processed. Dilate the image to enlarge the white difference area; find the outline, cut out the difference area and compare it with the corresponding area of the template image to obtain the best effect; the final effect is shown in Figure 10 below.

This embodiment can realize either character recognition or icon recognition. Compared with separate character recognition, the detection range of the nameplate can be improved, and there is no need to make a large number of data sets, and the detection accuracy can be improved. This embodiment can replace the manual review of the first inspection, improve the overall efficiency; can identify defects according to the template diagram; can perform automatic detection, without the need to manually create a template.

In order to implement the method of the embodiment of the present invention, the embodiment of the present application further provides a nameplate defect detection device. The nameplate defect detection device includes:

an acquisition module, used to acquire the first picture obtained by taking pictures of the nameplate;

an identification module, configured to identify the first picture, and determine the template image corresponding to the first picture and the date area in the first picture;

an erasing module for erasing the date in the date area in the first picture to obtain a second picture;

A comparison module, configured to compare the second picture with the template image to determine the defective area of the nameplate.

It should be noted that: the above-mentioned apparatus provided in the above-mentioned embodiment and the above-mentioned method embodiment belong to the same concept, and the specific implementation process thereof is detailed in the method embodiment, which will not be repeated here.

As shown in FIG. 11 , an embodiment of the present application provides an electronic device, including a processor 111 , a communication interface 112 , a memory 113 and a communication bus 114 , wherein the processor 111 , the communication interface 112 , and the memory 113 are completed through the communication bus 114 communication with each other,

a memory 113 for storing computer programs;

In an embodiment of the present application, the processor 111 is configured to implement the steps of the method provided by any one of the foregoing method embodiments when executing the program stored in the memory 113 .

Those skilled in the art can understand that the structure shown in FIG. 6 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

In the device provided by the embodiment of the present invention, the device includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the method of any one of the foregoing embodiments when the processor executes the program.

As will be apparent to those skilled in the art, embodiments of the present application may be provided as methods, systems, or computer program objects. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the application may take the form of a computer program object embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program objects according to embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of the method provided by any one of the foregoing method embodiments.

The memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory in the form of, for example, read only memory (ROM) or flash memory (flashRAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Flash Memory or other memory technology, Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

It can be understood that the memory in this embodiment of the present invention may be a volatile memory or a non-volatile memory, and may also include both a volatile memory and a non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM, ReadOnly Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), an erasable programmable read-only memory (EPROM, Erasable Programmable Read-Only Memory) Memory), Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), Magnetic Random Access Memory (FRAM, ferromagnetic random access memory), Flash Memory, Magnetic Surface Memory, Optical disk, or Compact Disc Read-Only Memory (CD-ROM); the magnetic surface memory can be a magnetic disk memory or a magnetic tape memory. The volatile memory may be a random access memory (RAM, Random Access Memory), which is used as an external cache memory. By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory Memory (DRAM, Dynamic Random Access Memory), Synchronous Dynamic Random Access Memory (SDRAM, SynchronousDynamic Random Access Memory), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM, Double Data Rate Synchronous Dynamic Random Access Memory), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), Synchronous Link Dynamic Random Access Memory (SLDRAM, SyncLink Dynamic Random Access Memory), Direct Memory Bus Random Access Memory (DRRAM, Direct Rambus Random Access Memory) . The memory described in the embodiments of the present invention is intended to include, but not be limited to, these and any other suitable types of memory.

It should be noted that, in this document, relational terms such as "first" and "second" etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these There is no such actual relationship or sequence between entities or operations. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

The above descriptions are only specific embodiments of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims (10)

1. A nameplate defect detection method, comprising:

acquiring a first picture obtained by photographing a nameplate;

identifying the first picture, and determining a template picture corresponding to the first picture and a date area in the first picture;

erasing the date in the date area in the first picture to obtain a second picture;

and comparing the second picture with the template picture to determine the defect area of the nameplate.

2. The method of claim 1, wherein the identifying the first picture and the determining the template picture corresponding to the first picture and the date area in the first picture comprises:

identifying the first picture, determining a bar code area in the first picture, and acquiring bar code characters in the bar code area;

based on the bar code characters, searching a template picture corresponding to the bar code characters in a preset template picture set;

and determining a date area in the first picture by utilizing the bar code area based on the corresponding relation between the bar code area and the date area.

3. The method of claim 2, wherein before erasing the date in the date area in the first picture, the method further comprises:

acquiring a date in the date area;

judging whether the date is consistent with a preset date or not;

and when the date is inconsistent with a preset date, judging that the defect area of the nameplate comprises the date area.

4. The method of claim 2, wherein the searching for the template drawing corresponding to the barcode character in a preset template drawing set based on the barcode character comprises:

judging whether a template picture corresponding to the bar code character is found in a preset template picture set or not based on the bar code character;

when the template picture corresponding to the bar code character is found in a preset template picture set, acquiring the template picture;

and prompting to input a correct bar code when the template picture corresponding to the bar code character is not found in the preset template picture set.

5. The method of claim 1, wherein before comparing the second picture to the template picture, the method further comprises:

identifying the template drawing and determining a date area in the template drawing;

erasing the date in the date area in the template picture.

6. The method of claim 1, wherein comparing the second picture to the template picture to determine the defective area of the nameplate comprises:

and carrying out global matching and sectional screenshot matching on the second picture and the template picture, and determining the defect area of the nameplate.

7. The method of claim 6, wherein the matching of the second picture with the template picture in a sectional screenshot, the determining the defect region of the nameplate comprises:

respectively intercepting the second picture and the template picture in regions to obtain a first region picture and a second region picture;

continuously moving the coordinates of the four vertex angles in the first region picture, and matching the picture subjected to perspective transformation of the four vertex angles of the first region picture with the second region picture to obtain a matching result with the minimum difference;

and determining a defect area of the nameplate based on the matching result.

8. A nameplate defect detecting device, comprising:

the acquisition module is used for acquiring a first picture obtained by photographing a nameplate;

the identification module is used for identifying the first picture and determining a template picture corresponding to the first picture and a date area in the first picture;

the erasing module is used for erasing the date in the date area in the first picture to obtain a second picture;

and the comparison module is used for comparing the second picture with the template picture to determine the defect area of the nameplate.

9. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor; wherein,

the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.

10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method of any one of claims 1 to 7.

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