Product production detection method and device, electronic equipment and storage medium

Abstract

The invention provides a product production detection method and device, electronic equipment and a storage medium, and belongs to the technical field of data identification, and the method comprises the steps: reading a product serial number of a to-be-detected product; collecting an image of the to-be-detected product; the image of the to-be-detected product is input into a preset detection model, a detection result output by the preset detection model is obtained, the preset detection model comprises a plurality of judgment units, and the judgment units are used for detecting different detection items respectively. According to the product production detection method and device, the electronic equipment and the storage medium, the image of the to-be-detected product is detected through the preset detection model, manual detection is not needed, missing detection and wrong detection caused by eye fatigue, distraction or inadequate experience are avoided, and compared with manual detection, the detection efficiency is high, and the cost is low.

Description

Technical Field

[0001] The present invention relates to the field of data identification technology, and in particular to a product production detection method, device, electronic equipment and storage medium. Background Art

[0002] As the complexity of product design continues to increase, the requirements for manufacturers in the assembly and inspection process are becoming increasingly stringent. The design of modern products is becoming more and more integrated, intelligent and multifunctional, which not only increases the complexity of the internal structure of the product and the interactivity between components, but also makes the manufacturing process and quality control more critical. In order to ensure product quality, manufacturers need to use comprehensive and efficient testing methods to test their products. For product inspection, the complex structure poses a challenge to traditional testing methods, and how to improve product testing efficiency has become a concern in the industry.

[0003] The traditional product inspection method is mainly through manual inspection, which relies on the experience and subjective judgment of the inspector. Due to eye fatigue, distraction or lack of experience, omissions or misjudgments are prone to occur, and the inspection cost is high and the efficiency is low.

[0004] Therefore, there is an urgent need for a product testing method to solve the problems of high error rate, high cost and low efficiency in existing manual inspection methods. Summary of the invention

[0005] The present invention provides a product production detection method, device, electronic equipment and storage medium, which are used to solve the defects of high error rate, high cost and low efficiency in the manual inspection method in the prior art.

[0006] The present invention provides a product production detection method, comprising the following steps: Read the product serial number of the product to be tested; Acquiring an image of the product to be inspected; The image of the product to be detected is input into a preset detection model to obtain a detection result output by the preset detection model, wherein the preset detection model includes a plurality of determination units, each of which is used to detect a different detection item.

[0007] According to a product production inspection method provided by the present invention, the image of the product to be inspected is input into a preset inspection model to obtain the inspection result output by the preset inspection model, including: Inputting the image of the product to be inspected into each determination unit of the preset detection model respectively, and obtaining the unit detection results output by each determination unit respectively; Based on the detection results of each of the units, the detection result of the product to be detected is determined and output.

[0008] According to a product production detection method provided by the present invention, at least one determination unit in the preset detection model is used to: Performing structure detection on the image to obtain a structure detection result, wherein the structure detection result reflects whether a specified structure exists in the image; If the structure detection result indicates that the designated structure exists in the image, an installation detection is performed on the image to obtain an installation detection result, wherein the installation detection result reflects whether each designated structure in the image has been installed.

[0009] According to a product production inspection method provided by the present invention, after inputting the image of the product to be inspected into a preset inspection model and obtaining the inspection result output by the preset inspection model, the method further includes: If the detection result indicates that the product to be detected is normal, the detection result is stored in the backend server.

[0010] According to a product production inspection method provided by the present invention, after inputting the image of the product to be inspected into a preset inspection model and obtaining the inspection result output by the preset inspection model, the method further includes: If the detection result indicates that the product to be detected is abnormal, a first warning instruction is sent to the warning unit, wherein the first warning instruction is used to instruct the warning unit to issue an abnormality reminder; A second warning instruction is sent to the abnormality prompting unit, where the second warning instruction is used to instruct the abnormality prompting unit to display the abnormality detection result.

[0011] The present invention also provides a product production detection system, comprising: The product serial number reading module is used to: read the product serial number of the product to be tested; An image acquisition module, used to: acquire an image of the product to be inspected; The control program module is used to: input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, wherein the preset detection model includes multiple determination units, and each determination unit is used to detect different detection items.

[0012] The present invention also provides a product production detection device, comprising the following modules: The reading module is used to: read the product serial number of the product to be tested; An acquisition module, used to: acquire an image of the product to be inspected; The detection module is used to: input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, wherein the preset detection model includes multiple determination units, each of which is used to detect different detection items.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the product production detection method described in any one of the above methods is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the product production detection method as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned product production detection methods.

[0016] The product production detection method, device, electronic device and storage medium provided by the present invention read the product serial number of the product to be detected; collect the image of the product to be detected; input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, and the preset detection model includes multiple judgment units, each of which is used to detect different detection items. The present invention detects the image of the product to be detected by a preset detection model, without manual detection, avoiding missed detection and wrong detection caused by human eye fatigue, distraction or lack of experience, and effectively improves detection efficiency and reduces detection costs compared to manual detection; in addition, the preset detection model includes multiple judgment units for detecting different detection items, which can perform comprehensive detection of the product to be detected in many aspects, and realize full automation of product production detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a schematic diagram of the process of the product production and detection method provided by the present invention; Figure 2 It is a structural schematic diagram of the product production detection system provided by the present invention; Figure 3 It is a structural schematic diagram of the product production detection device provided by the present invention; Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] It should be noted that in the description of the embodiments of the present invention, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device 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 device. In the absence of further restrictions, the elements defined by the sentence "include one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower" and the like is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged when appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" means at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0022] Combine the following Figure 1-Figure 4The product production detection method, device, electronic device and storage medium provided in the embodiments of the present invention are described.

[0023] Figure 1 It is a schematic diagram of the process of the product production and detection method provided by the present invention, such as Figure 1 As shown, the method includes the following: S110, reading the product serial number of the product to be tested; S120, collecting an image of the product to be inspected; S130, inputting the image of the product to be inspected into a preset inspection model to obtain the inspection result output by the preset inspection model, wherein the preset inspection model includes a plurality of determination units, each of which is used to inspect different inspection items.

[0024] It should be noted that the executor of the product generation detection method provided in the embodiment of the present invention can be a server, a computer device, such as a mobile phone, a tablet computer, a laptop computer, a PDA, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc.

[0025] In S110, the product serial number is a unique identifier assigned by the manufacturer to each individual product, usually consisting of letters, numbers, or a combination of the two. The product serial number of the product to be tested is read to determine the unique identification information of the product to be tested, and after the test result is obtained, the test result is matched one-to-one with the product.

[0026] In S120, it can be understood that the collected image of the product to be inspected needs to meet preset factors such as clarity, angle, light, etc. The specific clarity, angle, and light settings can be adaptively set according to actual usage requirements and are not limited here.

[0027] In the specific implementation process, images of the product to be inspected can be collected from multiple preset angles, so that images of the surfaces that need to be inspected are collected, and the inspection of the entire product is subsequently achieved.

[0028] In some embodiments, by setting a plurality of visual sensors at different positions and angles, multi-angle image acquisition of the product to be inspected is achieved.

[0029] In other embodiments, a visual sensor is used to acquire multi-angle images of the product to be inspected by moving and / or rotating the product to be inspected along a set trajectory.

[0030] In S130, the multiple determination units of the threshold detection model can be set according to actual use requirements. For example, for the same product, the same determination unit is used, and for different products, different determination units can be set.

[0031] In the embodiment of the present invention, each determination unit detects different detection items respectively. For example, one determination unit is used to detect whether all screw holes are installed with screws, one determination unit is used to detect whether there are stains on the surface of the product, and another determination unit is used to detect whether the cable is successfully installed.

[0032] In the embodiment of the present invention, the test result can be a final result, that is, the test result R is a binary value, which indicates that the test result is normal or abnormal. For example, R=1 indicates that the test result of the product to be tested is normal, and R=0 indicates that the test result of the product to be tested is abnormal. It can also be a combination of multiple test item results, that is, the test result includes the result of each test item, such as the test result R includes the results of n test items R. n , that is, R={R1, R2, …, R n}, which can reflect whether the result of each test item is normal / abnormal.

[0033] The product production detection method provided by the embodiment of the present invention reads the product serial number of the product to be detected; collects the image of the product to be detected; inputs the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, and the preset detection model includes multiple judgment units, each of which is used to detect different detection items. The present invention detects the image of the product to be detected by a preset detection model, without manual detection, avoiding missed detection and wrong detection caused by human eye fatigue, distraction or lack of experience, and effectively improves detection efficiency and reduces detection costs compared to manual detection; in addition, the preset detection model includes multiple judgment units for detecting different detection items, which can perform comprehensive detection of the product to be detected in many aspects, and realize full automation of product production detection.

[0034] In an optional embodiment, the step of inputting the image of the product to be inspected into a preset inspection model to obtain the inspection result output by the preset inspection model includes: Inputting the image of the product to be inspected into each determination unit of the preset detection model respectively, and obtaining the unit detection results output by each determination unit respectively; Based on the detection results of each of the units, the detection result of the product to be detected is determined and output.

[0035] In an embodiment of the present invention, when the image of the product to be inspected includes multiple images, each image is input into each determination unit respectively. That is to say, if there are a images of the product to be inspected and b determination units, the a images of the product to be inspected are input into the first determination unit, the second determination unit...the bth determination unit respectively to obtain multiple unit detection results, and the detection result of the product to be inspected is determined based on these unit detection results.

[0036] In one embodiment, each determination unit may first determine the unit detection result of the product to be detected based on a images of the product to be detected, and then determine the detection result of the product to be detected based on each unit detection result. That is to say, the first determination unit obtains the first unit detection result based on the detection of a images of the product to be detected, the second determination unit obtains the second unit detection result based on the detection of a images of the product to be detected, ..., the b-th determination unit obtains the b-th unit detection result based on the detection of a images of the product to be detected, and finally determines the detection result of the product to be detected based on the b unit detection results; wherein, for any determination unit, if the result of any image among the a images of the product to be detected is abnormal, the unit detection result is abnormal, and when the detection results of the a images of the product to be detected are all normal, the unit detection result is normal.

[0037] In another embodiment, a images of the product to be inspected are respectively input into b determination units to obtain a*b unit detection results, and the detection result of the product to be inspected is determined based on the a*b unit detection results. Specifically, when the detection result R includes the results R of n detection items n , that is, R={R1, R2, …, R n}, for the a unit detection results of any judgment unit, combine them to determine the final result R of the judgment unit n ; When the test result R is a final result, the test result of the product to be tested can be directly determined based on the a*b unit test results, or the final result R of each judgment unit can be determined first n , and then based on the results R of each judgment unit n Determine the final detection result R.

[0038] The product production inspection method provided by the embodiment of the present invention inputs the image of the product to be inspected into each determination unit respectively to obtain the unit inspection result, and then determines the final inspection result based on the inspection result of each unit, so that the inspection result can reflect the inspection results of multiple inspection items.

[0039] In the traditional product inspection method, products are standardized and compared by taking photos. This method requires the establishment of a set of standardized image judgments, which is not conducive to the sharing of multiple models of products. In order to solve the above problem, in the product production inspection method provided by the present invention, at least one judgment unit in the preset inspection model is used to: Performing structure detection on the image to obtain a structure detection result, wherein the structure detection result reflects whether a specified structure exists in the image; If the structure detection result indicates that the designated structure exists in the image, an installation detection is performed on the image to obtain an installation detection result, wherein the installation detection result reflects whether each designated structure in the image has been installed.

[0040] In the embodiment of the present invention, it is first detected whether there is a specified structure in the image, and then it is further detected whether the specified structure is correctly installed, so as to realize the detection of the specified component, which is independent of the number, position, and existence of different products of the structure, and can be widely used in the detection of different products.

[0041] For ease of understanding, the product production detection method provided by the embodiment of the present invention is described by taking a screw determination unit as an example.

[0042] Optionally, the preset detection model includes a screw determination unit, and the screw determination unit is used to: Performing screw hole detection on the image to obtain a screw hole detection result, wherein the screw hole detection result reflects whether there is a screw hole in the image; If the screw hole detection result indicates that there are screw holes in the image, an installation detection is performed on the image to obtain an installation detection result, and the installation detection result reflects whether screws have been installed in each screw hole in the image.

[0043] In the specific implementation process, the screw determination unit is trained through the image sequence so that the screw determination unit learns to determine whether there is a screw hole in the image; after the screw is installed, the color of the screw hole position is usually silver or black, and the image sequence is trained so that the screw determination unit learns to determine whether the screw in the screw hole is installed; after the model of the screw determination unit is established, it can be determined whether the product screws are missing during the actual product inspection process, without relying on the set number and position of the screws.

[0044] The product production inspection method provided by the embodiment of the present invention establishes a determination unit model through the process of first determining whether a specified structure exists and then determining whether the specified structure has been installed. It is independent of the size specifications of the product and does not need to establish a set of standardized image judgment rules for each model of product. It can judge products of any model, size, and specification, thereby realizing automatic inspection of multiple varieties of products.

[0045] Based on any of the above embodiments, after inputting the image of the product to be inspected into a preset inspection model to obtain the inspection result output by the preset inspection model, the method further includes: If the detection result indicates that the product to be detected is normal, the detection result is stored in the backend server.

[0046] In the embodiment of the present invention, the background server may be a detection system backend service platform or a remote physical server.

[0047] The product production detection method provided by the embodiment of the present invention stores the detection results in a background server, so that the detection result records can be checked.

[0048] Based on any of the above embodiments, after inputting the image of the product to be inspected into a preset inspection model to obtain the inspection result output by the preset inspection model, the method further includes: If the detection result indicates that the product to be detected is abnormal, a first warning instruction is sent to the warning unit, wherein the first warning instruction is used to instruct the warning unit to issue an abnormality reminder; A second warning instruction is sent to the abnormality prompting unit, where the second warning instruction is used to instruct the abnormality prompting unit to display the abnormality detection result.

[0049] In an embodiment of the present invention, the first warning instruction may be to instruct the warning unit to ring a bell and / or flash a light according to a preset rule; the second warning instruction is used to instruct the abnormal prompt unit to display the abnormal detection result in a preset format, and the abnormal detection result includes the product serial number of the abnormal product, and may also include specific abnormal information, such as if the unit detection result of a certain determination unit is abnormal, information displaying the abnormal detection result of the determination unit may also be included. Abnormal images, for example, if an abnormality is detected in a certain image, the image is displayed.

[0050] The product production detection method provided by the embodiment of the present invention can provide a prompt through the warning unit and the abnormal prompt unit when the product to be detected is abnormal, so that the user can find the abnormal result in time and know the detailed abnormal information.

[0051] The product production detection system provided by an embodiment of the present invention is described below. The product production detection system described below and the product production detection method described above can be referenced to each other.

[0052] Figure 2 It is a structural schematic diagram of the product production detection system provided by the present invention, such as Figure 2 As shown, the product production and detection system includes: The product serial number reading module is used to: read the product serial number of the product to be tested; An image acquisition module, used to: acquire an image of the product to be inspected; The control program module is used to: input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, wherein the preset detection model includes multiple determination units, and each determination unit is used to detect different detection items.

[0053] In an embodiment of the present invention, the product serial number reading module can be a barcode scanner or other device that can obtain the product serial number; the image acquisition module is usually a camera; the control program module is a built-in program of the computer device; the server storage unit is a background server, which is used to store the product serial number and the test results, as well as the test pictures, for backtracking; the warning unit is usually a warning light, which is used to prompt the inspection personnel that the product is abnormal or normal; the abnormal display unit is usually a display, which will have an abnormal area mark for the inspection personnel to locate the fault.

[0054] Figure 2 A schematic diagram of an exemplary architecture is shown. For descriptive purposes, the depicted architecture is only an example of a suitable environment and does not impose any limitations on the scope of use or functionality of the present invention. The computing system should not be interpreted as Figure 1 There are no dependencies or requirements on any one or combination of components shown.

[0055] It should be noted that the product production detection system provided in the embodiment of the present invention can execute the product production detection method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0056] The product production detection device provided in an embodiment of the present invention is described below. The product production detection device described below and the product production detection method described above can be referenced to each other.

[0057] Figure 3 It is a structural schematic diagram of the product production detection device provided by the present invention, such as Figure 3 As shown, the product production detection device may include but is not limited to; The reading module 310 is used to: read the product serial number of the product to be detected; The acquisition module 320 is used to: acquire the image of the product to be inspected; The detection module 330 is used to: input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, wherein the preset detection model includes multiple determination units, each of which is used to detect different detection items.

[0058] It should be noted that the product production detection device provided in the embodiment of the present invention can execute the product production detection method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0059] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communications interface 420 and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the product production detection method, which includes: reading the product serial number of the product to be detected; Acquiring an image of the product to be inspected; The image of the product to be detected is input into a preset detection model to obtain a detection result output by the preset detection model, wherein the preset detection model includes a plurality of determination units, each of which is used to detect a different detection item.

[0060] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0061] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the product production detection method provided by the above methods, the method includes: reading the product serial number of the product to be detected; Acquiring an image of the product to be inspected; The image of the product to be detected is input into a preset detection model to obtain a detection result output by the preset detection model, wherein the preset detection model includes a plurality of determination units, each of which is used to detect a different detection item.

[0062] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the product production detection method provided by the above methods, the method comprising: reading a product serial number of a product to be detected; Acquiring an image of the product to be inspected; The image of the product to be detected is input into a preset detection model to obtain a detection result output by the preset detection model, wherein the preset detection model includes a plurality of determination units, each of which is used to detect a different detection item.

[0063] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0064] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A product production detection method, characterized in that: include: Read the product serial number of the product to be tested; Acquiring an image of the product to be inspected; The image of the product to be detected is input into a preset detection model to obtain a detection result output by the preset detection model, wherein the preset detection model includes a plurality of determination units, each of which is used to detect a different detection item.

2. The product production detection method according to claim 1, characterized in that: The step of inputting the image of the product to be detected into a preset detection model to obtain a detection result output by the preset detection model includes: Inputting the image of the product to be inspected into each determination unit of the preset detection model respectively, and obtaining the unit detection results output by each determination unit respectively; Based on the detection results of each of the units, the detection result of the product to be detected is determined and output.

3. The product production detection method according to claim 1, characterized in that: At least one determination unit in the preset detection model is used for: Performing structure detection on the image to obtain a structure detection result, wherein the structure detection result reflects whether a specified structure exists in the image; If the structure detection result indicates that the designated structure exists in the image, an installation detection is performed on the image to obtain an installation detection result, wherein the installation detection result reflects whether each designated structure in the image has been installed.

4. The product production detection method according to any one of claims 1 to 3, characterized in that: After inputting the image of the product to be inspected into the preset inspection model to obtain the inspection result output by the preset inspection model, the method further includes: If the detection result indicates that the product to be detected is normal, the detection result is stored in the backend server.

5. The product production detection method according to any one of claims 1 to 3, characterized in that: After inputting the image of the product to be inspected into the preset inspection model to obtain the inspection result output by the preset inspection model, the method further includes: If the detection result indicates that the product to be detected is abnormal, a first warning instruction is sent to the warning unit, wherein the first warning instruction is used to instruct the warning unit to issue an abnormality reminder; A second warning instruction is sent to the abnormality prompting unit, where the second warning instruction is used to instruct the abnormality prompting unit to display the abnormality detection result.

6. A product production detection system, characterized in that: include: The product serial number reading module is used to: read the product serial number of the product to be tested; An image acquisition module, used to: acquire an image of the product to be inspected; The control program module is used to: input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, wherein the preset detection model includes multiple determination units, each of which is used to detect different detection items.

7. A product production detection device, characterized in that: include: The reading module is used to: read the product serial number of the product to be tested; An acquisition module, used to: acquire an image of the product to be inspected; The detection module is used to: input the image of the product to be detected into a preset detection model to obtain the detection result output by the preset detection model, wherein the preset detection model includes multiple determination units, each of which is used to detect different detection items.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the product production detection method according to any one of claims 1 to 5 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the product production detection method according to any one of claims 1 to 5 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the product production detection method according to any one of claims 1 to 5 is implemented.

Images