Resin coating product detection method, device, equipment and storage medium

Abstract

The present invention discloses a resin coating product detection method, device, equipment and storage medium, belonging to the technical field of resin coating detection. The present invention applies the method to a resin coating product detection system, the system includes an image recognition module and a processing module connected in sequence, the image recognition module is installed in the upper part area of ​​the resin coating line, the method is applied to the processing module, the method includes: obtaining the image information of the current product in the upper part area collected by the image recognition module; obtaining the characteristic area of ​​the current product; determining the detection information based on the characteristic area and the image information; completing the current product detection based on the detection information, which can quickly and accurately detect whether there is a problem with the product, thereby improving the efficiency of resin coating.

Description

Technical Field

[0001] The present invention relates to the technical field of resin coating detection, and in particular to a resin coating product detection method, device, equipment and storage medium. Background Art

[0002] Resin coating product testing refers to the testing of the surface of the coated workpiece during the resin coating process to ensure its quality and compliance with specifications.

[0003] However, in the loading area of ​​the inspection, there may be occasional problems with the wrong fixture or product due to human operation. After entering the line, the product setting program will be inconsistent with the actual online product, resulting in collisions, causing robot hardware loss and line stoppage, which will lead to low resin coating efficiency and the risk of damage to equipment. Summary of the invention

[0004] The main purpose of the present invention is to provide a resin coating product detection method, device, equipment and storage medium, aiming to solve the technical problem of low coating efficiency caused by the prior art resin coating product errors.

[0005] To achieve the above object, the present invention provides a resin coating product detection method, which is applied to a resin coating product detection system, wherein the system comprises an image recognition module and a processing module connected in sequence, wherein the image recognition module is installed in a loading area of ​​a resin coating line, and the method is applied to the processing module, and the method comprises the following steps:

[0006] Acquire image information of the current product in the loading area collected by the image recognition module;

[0007] Obtaining a characteristic area of ​​the current product;

[0008] by determining detection information based on the characteristic region and the image information;

[0009] The current product detection is completed based on the detection information.

[0010] Optionally, obtaining the characteristic area of ​​the current product includes:

[0011] Get the product type of the current product;

[0012] Based on the product type, query the product program code information, product color code information and product positioning point information corresponding to the product type from the preset characteristic area table;

[0013] The product program code information, the product color code information and the product positioning point information are used as the characteristic area of ​​the current product.

[0014] Optionally, the determining the detection information based on the characteristic region and the image information includes:

[0015] Obtain product positioning point information based on the characteristic area;

[0016] Calculate the current product area per unit area in the image information based on the positioning point information;

[0017] The current product area is compared with a preset area threshold to obtain detection information of the current product area.

[0018] Optionally, completing the current product detection based on the detection information includes:

[0019] When the current product area detection information shows that the current product area is greater than or equal to the preset area threshold, confirming that the current product meets the area detection requirement;

[0020] When the current product area detection information indicates that the current product area is smaller than the preset area threshold, current product abnormality warning information is generated.

[0021] Optionally, the determining the detection information based on the characteristic region and the image information includes:

[0022] Obtain product program code information and product color code information based on the characteristic area;

[0023] Obtaining the current product color according to the image information;

[0024] Obtaining a preset product color based on the product program code information and the product color code information;

[0025] The current product color is compared with the preset product color to obtain detection information of the current product color.

[0026] Optionally, completing the current product detection based on the detection information includes:

[0027] When the current product color detection information indicates that the current product color is consistent with the preset product color, confirming that the current product meets the color detection requirement;

[0028] When the current product color detection information indicates that the current product color is inconsistent with the preset product color, a color error warning message is generated.

[0029] Optionally, the acquiring the image information of the current product in the loading area collected by the image recognition module includes:

[0030] Read the RFID tag card to obtain the current product information;

[0031] Obtaining the current product model through the current product information;

[0032] Select the corresponding outer dimension value in the image recognition module according to the current product model;

[0033] The image recognition module is controlled based on the outer dimension value to shoot the current product in the loading area to obtain image information of the current product in the loading area.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also provides a resin coating product detection device, the resin coating product detection device comprising:

[0035] An acquisition module is used to acquire image information of the current product in the loading area collected by the image recognition module;

[0036] The acquisition module is further used to acquire the characteristic area of ​​the current product;

[0037] A determination module, configured to determine detection information based on the characteristic region and the image information;

[0038] The detection module is used to complete the current product detection based on the detection information.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also proposes a resin-coated product detection device, which includes: a memory, a processor, and a resin-coated product detection program stored in the memory and executable on the processor, and the resin-coated product detection program is configured to implement the steps of the resin-coated product detection method described above.

[0040] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a resin coating product detection program is stored, and when the resin coating product detection program is executed by a processor, the steps of the resin coating product detection method described above are implemented.

[0041] The present invention applies the method to a resin coating product detection system, the system includes an image recognition module and a processing module connected in sequence, the image recognition module is installed in the upper component area of ​​the resin coating line, and the method is applied to the processing module, the method includes: obtaining image information of the current product in the upper component area collected by the image recognition module; obtaining the characteristic area of ​​the current product; determining detection information based on the characteristic area and the image information; completing the current product detection based on the detection information, so as to quickly and accurately detect whether there is a problem with the product and improve the efficiency of resin coating. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1It is a structural schematic diagram of a resin coating product detection device in a hardware operating environment involved in an embodiment of the present invention;

[0043] Figure 2 It is a schematic diagram of the process of the first embodiment of the resin coating product detection method of the present invention;

[0044] Figure 3 It is a schematic diagram of the overall process of an embodiment of a method for detecting resin coating products of the present invention;

[0045] Figure 4 It is a schematic diagram of the process of the second embodiment of the resin coating product detection method of the present invention;

[0046] Figure 5 It is a schematic diagram of the process of the third embodiment of the resin coating product detection method of the present invention;

[0047] Figure 6 It is a schematic diagram of the process of the third embodiment of the resin coating product detection method of the present invention;

[0048] Figure 7 It is a structural block diagram of the first embodiment of the resin coating product detection device of the present invention.

[0049] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0050] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0051] Reference Figure 1 , Figure 1 It is a schematic diagram of the structure of the resin coating product detection equipment in the hardware operating environment involved in the embodiment of the present invention.

[0052] like Figure 1As shown, the resin coating product detection equipment may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0053] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the resin coating product detection equipment, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0054] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a resin coating product detection program.

[0055] exist Figure 1 In the resin-coated product detection device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the resin-coated product detection device of the present invention can be set in the resin-coated product detection device, and the resin-coated product detection device calls the resin-coated product detection program stored in the memory 1005 through the processor 1001, and executes the resin-coated product detection method provided by the embodiment of the present invention.

[0056] The embodiment of the present invention provides a method for detecting a resin coating product. Figure 2 , Figure 2 It is a schematic diagram of the process of the first embodiment of the resin coating product detection method of the present invention.

[0057] In this embodiment, the resin coating product detection method is applied to a resin coating product detection system, and the system includes an image recognition module and a processing module connected in sequence. The image recognition module is installed in the upper part area of ​​the resin coating line, and the method is applied to the processing module.

[0058] It should be noted that the resin coating product inspection line has the characteristics of many products and complex workpiece combinations. There is a certain probability that the wrong parts will be loaded, resulting in collisions with the robot trajectory. Therefore, this embodiment proposes a resin coating product inspection system. The system includes an image recognition module and a processing module. By adding an image recognition module, the product feature contour is captured for product identification and compared with standard product information. The processing module solves the unique problems of the coating line by selecting key points in the modeling and connecting the signals through PLC for multiple projects. This is more in line with the operating logic of the coating line.

[0059] The image recognition module is installed in the loading area of ​​the resin coating line. The image recognition module includes two camera assemblies, which are symmetrically arranged to capture images of the left and right sides of the products in the loading area, thereby obtaining a complete actual image of the product. The camera assembly can be a 3D camera, such as a 3D light field camera, a 3D structured light camera, or a 2D camera, such as a 2D line scan camera, etc. It can also be a 2D+3D combined camera, which is not limited in this embodiment.

[0060] The processing module can be a PLC (Programmable Logic Controller), which is connected to the image recognition module and can process the image information obtained by the image recognition module to identify the color, shape, area and other information of the product and obtain specific detection results. By combining the functions of PLC and visual inspection, the product can be fully inspected to improve the accuracy of inspection.

[0061] The resin coating product detection method comprises the following steps:

[0062] Step S10: Acquire the image information of the current product in the loading area collected by the image recognition module.

[0063] It should be noted that the executor of this embodiment may be a processing module, through which resin coating product detection is achieved, or other modules or devices that can achieve the same or similar functions. This embodiment does not limit this, and this embodiment is described using the processing module as an example.

[0064] In a specific implementation, the image recognition module is located in the loading area, so as to capture image information of the current product in the loading area.

[0065] Exemplarily, when the image recognition module is collecting images of products, different product models correspond to different sizes, and it is necessary to adapt to the different product sizes for shooting, so as to obtain a complete product image. Therefore, the step of obtaining the image information of the current product in the loading area collected by the image recognition module includes:

[0066] Read the RFID tag card to obtain the current product information;

[0067] Obtaining the current product model through the current product information;

[0068] Select the corresponding outer dimension value in the image recognition module according to the current product model;

[0069] The image recognition module is controlled based on the outer dimension value to shoot the current product in the loading area to obtain image information of the current product in the loading area.

[0070] It should be understood that the RFID tag card stores information about each product, so the RFID tag card of the trolley can be read and written to obtain product information (same as the robot's profiling path), thereby obtaining the current product information.

[0071] The product information stored in the RFID tag card is standard product information, including product model and product color.

[0072] In a specific implementation, the current product model can be obtained through the current product information. Different product models correspond to different product sizes. Therefore, the photographable outer dimension value can be determined through the current product model, and the corresponding outer dimension value can be called in the image recognition module.

[0073] It is understandable that the image recognition module can be controlled by the outer dimension value to shoot the current product in the loading area, so that the complete information of the current product can be collected and the image information of the current product can be obtained. The camera can identify the color of the material and the area ratio of the blank area to detect the product.

[0074] The image information of the current product may include one or more of size information, shape information, area information and color information of the current product.

[0075] Step S20: obtaining the characteristic area of ​​the current product;

[0076] It should be noted that the characteristic area of ​​the current product can be determined according to the types of different products, and the characteristic areas of different types of products are not the same.

[0077] The characteristic area may include the product positioning point position, product signal information, etc., and may also include other data, which is not limited in this embodiment.

[0078] Step S30: determining detection information based on the characteristic region and the image information.

[0079] In a specific implementation, the specific detection information of the product can be determined through the characteristic area and image information of the current product.

[0080] Exemplarily, the detection information of the product's occupied area can be determined by calculating the location of the positioning point in the feature area and the data in the image information. The detection information of the product's color feature can also be determined by comparing the color information of the product signal in the feature area with the color information in the image information.

[0081] The detection information may include color detection information of the product, area detection information of the product, size detection information of the product, etc., which is not limited in this embodiment.

[0082] Step S40: completing the current product detection based on the detection information.

[0083] In a specific implementation, the detection information can be used to determine whether the current product meets the resin coating requirements, so as to perform further processing.

[0084] like Figure 3 As shown, Figure 3 This is a schematic diagram of the overall process of this embodiment. After the material rack loaded with the inspected product is in place, the RFID tag can be read by the barcode reader to obtain the workpiece model, and the model can be sent to the visual industrial computer (image recognition module). After receiving the workpiece model, the visual industrial computer adjusts the detected outer dimension value to collect the current product and obtain the image information of the current product. The processing module performs detection based on the image information to determine whether the positioning point size is NG and whether the color is NG. If the size is NG, a size NG signal is sent to the PLC of the production line, indicating that the incoming material or the fixture is deformed. If the color is NG, a color NG signal is sent to the PLC of the production line to issue a color error alarm, so that the PLC of the production line controls the line to stop for manual confirmation and further detection. If there is no abnormality in the size and color, an OK signal is sent to the PLC of the production line, and the PLC of the production line controls the release of the current product.

[0085] This embodiment applies the method to a resin coating product detection system, wherein the system includes an image recognition module and a processing module connected in sequence, wherein the image recognition module is installed in a loading area of ​​a resin coating line, and the method is applied to the processing module, and the method includes: obtaining image information of a current product in the loading area collected by the image recognition module; obtaining a characteristic area of ​​the current product; determining detection information based on the characteristic area and the image information; and completing current product detection based on the detection information, thereby quickly and accurately detecting whether there are problems with the product and improving the efficiency of resin coating.

[0086] refer to Figure 4 , Figure 4 It is a schematic flow chart of the second embodiment of the resin coating product detection method of the present invention.

[0087] Based on the first embodiment described above, step S20 of the resin coating product detection method of this embodiment includes:

[0088] Step S201: Acquire the product type of the current product.

[0089] It should be noted that the product type of the current product can be obtained through the product information, for example, the product type is H56 front protection, H56 rear protection, H97 front and rear protection, H97 rear protection and other types.

[0090] Step S202: Based on the product type, query the product program code information, product color code information and product positioning point information corresponding to the product type from the preset characteristic area table.

[0091] As shown in Table 1, Table 1 is a preset characteristic area table, including product models and positioning point information corresponding to product types, and also includes information that the product meets the requirements.

[0092] Table 1

[0093]

[0094] In a specific implementation, the product program code information, product color code information and product positioning point information corresponding to the product type can be queried from the preset characteristic area table through the product type.

[0095] For example, if the product type is H56 pre-insurance, the product program code information corresponding to H56 pre-insurance is 20, and the specific product color code information can be determined, and the product positioning point information is 6 positioning points.

[0096] Step S203: taking the product program code information, the product color code information and the product positioning point information as the characteristic area of ​​the current product.

[0097] It should be noted that the product program code information, product color code information and product positioning point information can be used as the characteristic area of ​​the current product.

[0098] This embodiment obtains the product type of the current product; based on the product type, queries the product program code information, product color code information and product positioning point information corresponding to the product type from the preset characteristic area table; uses the product program code information, the product color code information and the product positioning point information as the characteristic area of ​​the current product, and can quickly determine the corresponding product characteristic area according to the product type, thereby quickly locating the detected product information and improving the detection effect.

[0099] refer to Figure 5 , Figure 5 It is a schematic flow chart of the third embodiment of the resin coating product detection method of the present invention.

[0100] Based on the first embodiment described above, step S30 of the resin coating product detection method of this embodiment includes:

[0101] Step S301: obtaining product positioning point information based on the characteristic area.

[0102] It should be noted that the product positioning point information can be obtained through the characteristic area. Specifically, the product positioning point information can be obtained by querying the corresponding data in the characteristic area through the product type.

[0103] Step S302: Calculate the current product area per unit area in the image information based on the positioning point information.

[0104] In a specific implementation, the current product area per unit area can be calculated in the image information according to the positioning point information. Specifically, the product area per unit area in the image information is read at each point. The calculation method is the consistent area ratio per unit area divided by the total measured area in the box * 100%.

[0105] When the product type is H56 front guard and the product positioning point information is 6 positioning points, the measurement points include two large surfaces, two color matching surfaces, and two corner areas. When the product type is H56 rear guard and the product positioning point information is 6 positioning points, the measurement points include two large surfaces, two color matching surfaces, and two corner areas. When the product type is H97 front and rear guard and the product positioning point information is 10 positioning points, the measurement points include four large surfaces, four color matching surfaces, and two corner areas.

[0106] Step S303: Compare the current product area with a preset area threshold to obtain detection information of the current product area.

[0107] In a specific implementation, the preset area threshold may be set to 0.8, or other area thresholds, which is not limited in this embodiment. This embodiment takes 0.8 as an example for illustration.

[0108] By comparing the current product area with the preset area threshold, it can be determined whether the current product meets the coating requirements.

[0109] Optionally, the step of completing the current product detection based on the detection information includes: when the current product area detection information shows that the current product area is greater than or equal to the preset area threshold, confirming that the current product meets the area detection requirements; when the current product area detection information shows that the current product area is less than the preset area threshold, generating current product abnormal warning information.

[0110] It should be noted that if the current product area detection information shows that the current product area is greater than or equal to the preset area threshold, it proves that the current product meets the area detection requirements and the remaining tests can be performed on the current product.

[0111] If the current product area detection information shows that the current product area is less than the preset area threshold, it proves that the current product does not meet the set area detection requirements or the current product size does not meet the set requirements, and the current product abnormality warning information, that is, area NG information or size NG information, can be generated, and this information can be sent to the PLC of the production line, so that the PLC of the production line controls the line to stop, and manual confirmation is performed to determine the specific defect information. When all set points meet the preset consistency, they can be released, otherwise they will be intercepted.

[0112] This embodiment obtains product positioning point information based on the characteristic area; calculates the current product area per unit area in the image information based on the positioning point information; compares the current product area with a preset area threshold to obtain detection information of the current product area, and can quickly determine whether the current product meets the size or area requirements based on the product positioning point information, thereby performing a comprehensive detection of coating line misalignment or product fixture deformation.

[0113] refer to Figure 6 , Figure 6 It is a schematic flow chart of the fourth embodiment of the resin coating product detection method of the present invention.

[0114] Based on the first embodiment described above, step S30 of the resin coating product detection method of this embodiment includes:

[0115] Step S301 ′: obtaining product program code information and product color code information based on the characteristic region.

[0116] It should be noted that the product program code information and product color code information can be obtained through the characteristic area. Specifically, the corresponding product program code and product color code information in the characteristic area of ​​the product can be obtained through the product type. For example, if the product type is H97, the product program code information is program code 12, and the specific product color code can be obtained.

[0117] Step S302': obtaining the current product color according to the image information.

[0118] In a specific implementation, the current product color can be obtained through the collected image information of the current product, and the current product color is the color displayed by the current product being detected.

[0119] Step S303 ′: obtaining a preset product color based on the product program code information and the product color code information.

[0120] It should be noted that the preset product color can be obtained through the product program code information and the product color code information. The preset product color is the color required to be presented by the current product, or the standard color of the current product.

[0121] Step S304': compare the current product color with the preset product color to obtain detection information of the current product color.

[0122] In a specific implementation, the current product color can be compared with the preset product color to determine whether the current product color meets the requirements. The detection information of the current product color can be that the current product color is consistent with the preset product color, or that the current product color is inconsistent with the preset product color.

[0123] Optionally, when the detection information is the current product color detection, the step of completing the current product detection based on the detection information includes: when the current product color detection information is that the current product color is consistent with the preset product color, confirming that the current product meets the color detection requirements; when the current product color detection information is that the current product color is inconsistent with the preset product color, generating color error warning information.

[0124] It should be understood that by comparing the current product color with the preset product color, the current product color detection information is obtained. When the current product color detection information shows that the current product color is consistent with the preset product color, it means that the current product color meets the set color requirements. If the color and area detection of the product meet the requirements, an OK signal is sent to the PLC of the production line, so that the PLC of the production line controls the release of the current product and continues the detection of the next product. If the current product color detection information shows that the current product color is inconsistent with the preset product color, it means that the current product color does not meet the set color requirements, and a color NG signal is sent to the PLC of the production line, so that the PLC of the production line controls the line to stop, and further manual inspection of abnormal conditions is performed to realize the alarm on color errors, ensuring that different colors cannot be reversely sprayed.

[0125] This embodiment obtains product program code information and product color code information based on the characteristic area; obtains the current product color based on the image information; obtains a preset product color based on the product program code information and the product color code information; compares the current product color with the preset product color to obtain detection information of the current product color, and determines whether the current product meets the color requirements based on the product program code information and the product color code information in the characteristic area, thereby accurately detecting the color difference backspray of the coating line.

[0126] Reference Figure 7 , Figure 7 It is a structural block diagram of the first embodiment of the resin coating product detection device of the present invention.

[0127] like Figure 7 As shown, the resin coating product detection device proposed in the embodiment of the present invention includes:

[0128] The acquisition module 10 is used to acquire the image information of the current product in the loading area collected by the image recognition module.

[0129] The acquisition module 10 is further used to acquire the characteristic area of ​​the current product.

[0130] The determination module 20 is configured to determine detection information based on the characteristic region and the image information.

[0131] The detection module 30 is used to complete the current product detection based on the detection information.

[0132] This embodiment obtains the image information of the current product in the loading area captured by the image recognition module; obtains the characteristic area of ​​the current product; determines the detection information based on the characteristic area and the image information; and completes the current product detection based on the detection information, so as to quickly and accurately detect whether there is a problem with the product and improve the efficiency of resin coating.

[0133] In one embodiment, the acquisition module 10 is also used to obtain the product type of the current product; based on the product type, query the product program code information, product color code information and product positioning point information corresponding to the product type from the preset characteristic area table; and use the product program code information, the product color code information and the product positioning point information as the characteristic area of ​​the current product.

[0134] In one embodiment, the determination module 20 is also used to obtain product positioning point information based on the characteristic area; calculate the current product area per unit area in the image information based on the positioning point information; compare the current product area with a preset area threshold to obtain detection information of the current product area.

[0135] In one embodiment, the determination module 20 is also used to confirm that the current product meets the area detection requirements when the current product area detection information shows that the current product area is greater than or equal to the preset area threshold; and to generate current product abnormal warning information when the current product area detection information shows that the current product area is less than the preset area threshold.

[0136] In one embodiment, the determination module 20 is also used to obtain product program code information and product color code information based on the characteristic area; obtain the current product color based on the image information; obtain the preset product color based on the product program code information and the product color code information; compare the current product color with the preset product color to obtain detection information of the current product color.

[0137] In one embodiment, the determination module 20 is also used to confirm that the current product meets the color detection requirements when the current product color detection information shows that the current product color is consistent with the preset product color; and to generate color error warning information when the current product color detection information shows that the current product color is inconsistent with the preset product color.

[0138] In one embodiment, the acquisition module 10 is also used to read the RFID tag card to obtain current product information; obtain the current product model through the current product information; select the corresponding outer dimension value in the image recognition module according to the current product model; control the image recognition module to shoot the current product in the loading area based on the outer dimension value to obtain image information of the current product in the loading area.

[0139] In addition, an embodiment of the present invention further provides a storage medium, on which a resin coating product detection program is stored. When the resin coating product detection program is executed by a processor, the steps of the resin coating product detection method described above are implemented.

[0140] Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0141] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0142] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0143] In addition, for technical details not fully described in this embodiment, reference can be made to the resin coating product detection method provided in any embodiment of the present invention, and will not be repeated here.

[0144] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0145] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0146] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0147] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting resin coating products, characterized in that: The resin coating product detection method is applied to a resin coating product detection system, the system comprises an image recognition module and a processing module connected in sequence, the image recognition module is installed in the upper part area of ​​the resin coating line, the method is applied to the processing module, the method comprises: Acquire image information of the current product in the loading area collected by the image recognition module; Obtaining a characteristic area of ​​the current product; by determining detection information based on the characteristic region and the image information; Complete the current product test based on the test information; The obtaining of the characteristic area of ​​the current product includes: Get the product type of the current product; Based on the product type, query the product program code information, product color code information and product positioning point information corresponding to the product type from the preset characteristic area table; Using the product program code information, the product color code information and the product positioning point information as the characteristic area of ​​the current product; The determining of the detection information based on the characteristic region and the image information comprises: Obtain product positioning point information based on the characteristic area; Calculate the current product area per unit area in the image information based on the positioning point information; The current product area is compared with a preset area threshold to obtain detection information of the current product area, wherein the image information is obtained by the following steps: determining the photographed outer dimension value by the current product model, thereby calling the corresponding outer dimension value in the image recognition module to control the image recognition module to photograph the current product in the loading area, thereby collecting complete information of the current product and obtaining image information of the current product; The completing the current product detection based on the detection information includes: When the current product area detection information shows that the current product area is greater than or equal to the preset area threshold, confirming that the current product meets the area detection requirement; When the current product area detection information indicates that the current product area is smaller than the preset area threshold, current product abnormality warning information is generated.

2. The resin coating product detection method according to claim 1, characterized in that: The determining of the detection information based on the characteristic region and the image information comprises: Obtain product program code information and product color code information based on the characteristic area; Obtaining the current product color according to the image information; Obtaining a preset product color based on the product program code information and the product color code information; The current product color is compared with the preset product color to obtain detection information of the current product color.

3. The resin coating product detection method according to claim 2, characterized in that: The completing the current product detection based on the detection information includes: When the current product color detection information indicates that the current product color is consistent with the preset product color, confirming that the current product meets the color detection requirement; When the current product color detection information indicates that the current product color is inconsistent with the preset product color, a color error warning message is generated.

4. The resin coating product detection method according to any one of claims 1 to 3, characterized in that: The resin coating product detection method also includes: Read the RFID tag card to obtain the current product information; The current product model is obtained through the current product information.

5. A resin coating product detection device, characterized in that: The resin coating product detection device comprises: An acquisition module is used to acquire image information of the current product in the loading area collected by the image recognition module; The acquisition module is further used to acquire the characteristic area of ​​the current product; A determination module, configured to determine detection information based on the characteristic region and the image information; A detection module, used to complete the current product detection based on the detection information; The acquisition module is further used to acquire the product type of the current product; based on the product type, query the product program code information, product color code information and product positioning point information corresponding to the product type from the preset characteristic area table; use the product program code information, the product color code information and the product positioning point information as the characteristic area of ​​the current product; The determination module is further used to obtain product positioning point information based on the characteristic area; calculate the current product area per unit area in the image information based on the positioning point information; compare the current product area with a preset area threshold to obtain detection information of the current product area, wherein the image information is obtained by the following steps: determining the outer dimension value of the shooting through the current product model, thereby calling the corresponding outer dimension value in the image recognition module to control the image recognition module to shoot the current product in the loading area, thereby collecting complete information of the current product and obtaining image information of the current product; The detection module is also used to confirm that the current product meets the area detection requirements when the current product area detection information shows that the current product area is greater than or equal to the preset area threshold; and generate current product abnormality warning information when the current product area detection information shows that the current product area is less than the preset area threshold.

6. A resin coating product detection device, characterized in that: The resin-coated product detection device comprises: a memory, a processor, and a resin-coated product detection program stored in the memory and executable on the processor, wherein the resin-coated product detection program is configured to implement the resin-coated product detection method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores a resin coating product detection program, and when the resin coating product detection program is executed by the processor, the resin coating product detection method according to any one of claims 1 to 4 is implemented.

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