Method, device and equipment for detecting assembly state of side wall part of vehicle and medium

Abstract

The invention discloses a method, device and equipment for detecting the assembly state of side wall parts of a vehicle and a medium, and belongs to the technical field of automobiles. The vehicle side wall part assembly state detection method comprises the steps that when a to-be-detected vehicle passes through a side wall part assembly state detection station, a VIN code of the to-be-detected vehicle and side wall part pictures obtained by shooting all side wall parts of the to-be-detected vehicle through a camera device are obtained; identifying first attribute data of the side wall part in each side wall part picture; obtaining standard attribute data of each side wall part in a side wall part pattern data set corresponding to the VIN code; and based on each first attribute data and the standard attribute data of the side wall part corresponding to each first attribute data, determining the side wall part assembly state detection result of the to-be-detected vehicle, thereby realizing automatic detection of the side wall part assembly state of the vehicle, and improving the detection efficiency and accuracy.

Description

Technical Field

[0001] The present application relates to the technical field of automobiles, and particularly relates to a method, device, equipment and computer-readable storage medium for detecting the assembly state of side body parts of a vehicle. Background Art

[0002] With the increasing strong demand of users for high-end and personalized vehicles, vehicle manufacturers are faced with the production of a large number of vehicles with different model configurations within a specific time. However, due to limitations such as production capacity and site, it is necessary to produce vehicles with different model configurations on a mixed line. During the mixed-line production process, the assembly of side body parts such as vehicle nameplates, charging port covers, fuel tank port covers, tire pressure labels, and vehicle tires needs to be completed in the general assembly workshop. Then, at the side body part detection station, the assembly states of all side body parts are detected. For example, whether the information in the vehicle nameplate is correct, whether the color and specifications of the charging port cover are correct, whether the height of the wheel arch is correct, etc. How to improve the detection efficiency and accuracy of the assembly state of the side body parts of the vehicle has become an urgent problem to be solved. In the related art, inspectors detect the assembly states of each side body part by visual inspection, and need to confirm one by one around the vehicle during the detection. However, the detection efficiency and accuracy of this manual detection method are relatively low. Summary of the Invention

[0003] The present application provides a method, device, equipment and computer-readable storage medium for detecting the assembly state of side body parts of a vehicle, which can solve the technical problems of relatively low detection efficiency and accuracy existing in the prior art when relying on manual detection.

[0004] In a first aspect, an embodiment of the present application provides a method for detecting the assembly state of side body parts of a vehicle, and the method for detecting the assembly state of side body parts of the vehicle includes:

[0005] When a vehicle to be tested passes through the side body part assembly state detection station, obtain the VIN code of the vehicle to be tested and side body part pictures obtained by a camera device photographing each side body part of the vehicle to be tested;

[0006] Identify the first attribute data of the side body parts in each of the side body part pictures;

[0007] Obtain the standard attribute data of each side body part in the side body part style data set corresponding to the VIN code;

[0008] Based on each first attribute data and the standard attribute data of the side body part corresponding to each first attribute data, determine the detection result of the assembly state of the side body parts of the vehicle to be tested.

[0009] In combination with the first aspect, in an implementation manner, the identifying the first attribute data of the side body parts in each of the side body part pictures includes:

[0010] Input the side panel part picture into the side panel part detection model, and output the first attribute data of the side panel part in the side panel part picture, where the side panel part detection model is implemented based on image processing technology.

[0011] Combined with the first aspect, in one implementation, determining the detection result of the assembly state of the side panel parts of the vehicle to be tested based on the first attribute data and the standard attribute data of the corresponding side panel parts of each first attribute data includes:

[0012] Match each first attribute data with the standard attribute data of the corresponding side panel part of each first attribute data to obtain a matching result;

[0013] Based on the matching result, determine the detection result of the assembly state of the side panel parts of the vehicle to be tested.

[0014] Combined with the first aspect, in one implementation, determining the detection result of the assembly state of the side panel parts of the vehicle to be tested based on the matching result includes:

[0015] When all the first attribute data in the matching result match the standard attribute data of the corresponding side panel parts of each first attribute data, determine that the detection result of the assembly state of the side panel parts of the vehicle to be tested is passed; otherwise, determine that the detection result of the assembly state of the side panel parts of the vehicle to be tested is not passed.

[0016] Combined with the first aspect, in one implementation, after the step of determining that the detection result of the assembly state of the side panel parts of the vehicle to be tested is not passed, the method further includes:

[0017] Push the detection result of the assembly state of the side panel parts of the vehicle to be tested to the electronic device of the tester.

[0018] Combined with the first aspect, in one implementation, after the step of determining that the detection result of the assembly state of the side panel parts of the vehicle to be tested is passed, the method further includes:

[0019] Record the detection result of the assembly state of the side panel parts of the vehicle to be tested.

[0020] In a second aspect, an embodiment of the present application provides a detection device for the assembly state of side panel parts of a vehicle. The detection device for the assembly state of side panel parts of the vehicle includes:

[0021] A first acquisition module, which is used to obtain the VIN code of the vehicle to be tested and the side panel part pictures obtained by photographing each side panel part of the vehicle to be tested by a camera device when the vehicle to be tested passes through the side panel part assembly state detection station;

[0022] An identification module, which is used to identify the first attribute data of the side panel parts in each of the side panel part pictures;

[0023] A second acquisition module, which is used to acquire standard attribute data of each side panel part in the side panel part style data set corresponding to the VIN code;

[0024] The determination module is used to determine the detection result of the assembly state of the side panel parts of the vehicle to be tested based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data.

[0025] In conjunction with the second aspect, in one implementation, the identification module is specifically used to:

[0026] The side panel part image is input into a side panel part detection model, and first attribute data of the side panel part in the side panel part image is output, wherein the side panel part detection model is implemented based on image processing technology.

[0027] In a third aspect, an embodiment of the present application provides a vehicle side panel parts assembly status detection device, the vehicle side panel parts assembly status detection device comprising a processor, a memory, and a vehicle side panel parts assembly status detection program stored in the memory and executable by the processor, wherein when the vehicle side panel parts assembly status detection program is executed by the processor, the steps of the vehicle side panel parts assembly status detection method as described in any one of the first aspects are implemented.

[0028] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a vehicle side panel parts assembly status detection program is stored. When the vehicle side panel parts assembly status detection program is executed by a processor, the steps of the vehicle side panel parts assembly status detection method as described in any one of the first aspects are implemented.

[0029] The beneficial effects brought by the technical solution provided by the embodiments of the present application include:

[0030] When the vehicle to be tested passes through the side panel parts assembly status detection station, the VIN code of the vehicle to be tested and the side panel parts pictures obtained by taking pictures of the side panel parts of the vehicle to be tested by a camera device; the first attribute data of the side panel parts in each of the side panel parts pictures are identified; the standard attribute data of each side panel part in the side panel parts pattern data set corresponding to the VIN code is obtained; based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data, the side panel parts assembly status detection result of the vehicle to be tested is determined, thereby realizing the automatic detection of the vehicle's side panel parts assembly status, and improving the detection efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a flow chart of a first embodiment of a method for detecting the assembly state of side panel parts of a vehicle of the present application;

[0032] Figure 2 Schematic diagram of the functional modules of an embodiment of the side wall part assembly state detection device for the vehicle of the present application;

[0033] Figure 3 Schematic diagram of the hardware structure of the side wall part assembly state detection device for the vehicle involved in the embodiment solution of the present application. Detailed implementation manners

[0034] In order to enable those skilled in the art to better understand the solution of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0035] To make the purpose, technical solution and advantages of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0036] In a first aspect, an embodiment of the present application provides a method for detecting the assembly state of side wall parts of a vehicle.

[0037] In one embodiment, with reference to Figure 1 , Figure 1 is the flowchart of the first embodiment of the method for detecting the assembly state of side wall parts of the vehicle of the present application. As Figure 1 shown, the method for detecting the assembly state of side wall parts of a vehicle includes:

[0038] Step 110: When the vehicle to be tested passes through the side wall part assembly state detection station, obtain the VIN code of the vehicle to be tested and the side wall part pictures obtained by the camera device taking pictures of the side wall parts of the vehicle to be tested;

[0039] It should be noted that when implementing the method for detecting the assembly state of side wall parts of the present application, obstacle detection sensors such as lidar, a camera device, and a transmissive light source need to be arranged at the side wall part assembly state detection station. Among them, the obstacle detection sensor is used to detect whether the vehicle to be tested is conveyed to the side wall part assembly state detection station; the camera device includes but is not limited to a dome camera and an industrial camera, and is used to take pictures of the side wall parts of the vehicle to be tested to obtain side wall part pictures; the transmissive light source is used to increase the brightness of the side wall part assembly state detection station to ensure the picture-taking effect.

[0040] In specific implementation, when the obstacle detection sensor senses that the vehicle to be tested arrives at the side panel part assembly state detection station, it transmits a signal indicating arrival to the artificial intelligence quality inspection management system. The artificial intelligence quality inspection management system controls the reading of the vehicle's VIN code from the on-vehicle electronic tag and controls the imaging device to take pictures of the side panel parts of the vehicle to be tested to obtain side panel part pictures. Then, the imaging device transmits the collected side panel part pictures to the artificial intelligence quality inspection management system through the network.

[0041] Among them, the artificial intelligence quality inspection management system has functions such as importing the AVI queue of vehicles with side panel part assembly, reading through the interface with the AVI system, and adjusting the AVI queue, so as to ensure that the AVI queue of vehicles with side panel part assembly in the artificial intelligence quality inspection management system is consistent with the actual vehicle queue on site. The artificial intelligence quality inspection management system updates and verifies the vehicle queue that is about to pass through the side panel part assembly state detection station, so as to accurately identify the vehicle model information of each vehicle passing through this station. The artificial intelligence quality inspection management system has a high-definition image transmission interface to receive the side panel part pictures taken by the on-site imaging device.

[0042] Step 120: Identify the first attribute data of the side panel parts in each of the side panel part pictures;

[0043] Using image processing technology, identify the first attribute data of the side panel parts in each of the side panel part pictures. The first attribute data includes the color, shape, string data, etc. of the side panel parts.

[0044] Step 130: Obtain the standard attribute data of each side panel part in the side panel part style dataset corresponding to the VIN code;

[0045] Among them, the side panel part style dataset includes the standard attribute data of each side panel part. For example, the color of the fuel tank lid, the shape of the fuel tank lid, the wheel arch height of the left front wheel, the wheel arch height of the right front wheel, the relevant data in the vehicle nameplate, etc. Among them, the relevant data in the vehicle nameplate includes the manufacturing date, identification code, total mass, and motor parameters, etc. It can be understood that the standard attribute data of each side panel part in the side panel part style dataset corresponding to different vehicle models are also different.

[0046] The VIN code of the vehicle is pre-corresponded with the side panel part style dataset and stored in the artificial intelligence quality inspection management system. After the artificial intelligence quality inspection management system obtains the VIN code of the vehicle to be tested, it can directly correspond to the standard attribute data of each side panel part in the side panel part style dataset according to the VIN code.

[0047] Step 140: Based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data, determine the detection result of the side panel part assembly state of the vehicle to be tested.

[0048] Further, by comparing each first attribute data with the standard attribute data of the side body parts corresponding to each first attribute data, the detection result of the assembly state of the side body parts of the vehicle to be tested is determined.

[0049] In this embodiment, when the vehicle to be tested passes through the side body part assembly state detection station, the VIN code of the vehicle to be tested and the side body part pictures obtained by photographing each side body part of the vehicle to be tested by the camera device are acquired; the first attribute data of the side body parts in each of the side body part pictures are identified; the standard attribute data of each side body part in the side body part style data set corresponding to the VIN code are acquired; based on each first attribute data and the standard attribute data of the side body parts corresponding to each first attribute data, the detection result of the assembly state of the side body parts of the vehicle to be tested is determined, realizing the automatic detection of the assembly state of the side body parts of the vehicle, and improving the detection efficiency and accuracy.

[0050] Further, in one embodiment, the identifying the first attribute data of the side body parts in each of the side body part pictures includes:

[0051] Inputting the side body part picture into the side body part detection model, and outputting the first attribute data of the side body parts in the side body part picture, where the side body part detection model is implemented based on image processing technology.

[0052] The side body part detection model is used to identify the first attribute data of the side body parts in the side body part picture, its input is the side body part picture, and the output is the first attribute data of the side body parts in the side body part picture. The side body part detection model is a model obtained by training a large number of side body part pictures.

[0053] In this embodiment, inputting the side body part picture into the side body part detection model, and outputting the first attribute data of the side body parts in the side body part picture, where the side body part detection model is implemented based on image processing technology. In this embodiment, the side body part detection model is used to identify the first attribute data of the side body parts, which can improve the identification efficiency.

[0054] Further, in one embodiment, the determining the detection result of the assembly state of the side body parts of the vehicle to be tested based on each first attribute data and the standard attribute data of the side body parts corresponding to each first attribute data includes:

[0055] Step 210: Match each first attribute data with the standard attribute data of the side body parts corresponding to each first attribute data respectively to obtain a matching result;

[0056] Step 220: Based on the matching result, determine the detection result of the assembly state of the side body parts of the vehicle to be tested.

[0057] During specific implementation, the first attribute data of all side panel parts is matched with their corresponding standard attribute data to obtain a number of matching results. Exemplarily, the first attribute data of the fuel tank access cover is matched with the standard attribute data of the fuel tank access cover to obtain the matching result of the fuel tank access cover; the first attribute data of the vehicle nameplate is matched with the standard attribute data of the vehicle nameplate to obtain the matching result of the vehicle nameplate; the first attribute data of the charging port cover is matched with the standard attribute data of the charging port cover to obtain the matching result of the charging port cover. Then, by synthesizing the matching results of all side panel parts, the detection result of the assembly state of the side panel parts of the vehicle to be tested is determined.

[0058] In this embodiment, by respectively matching each first attribute data with the standard attribute data of the corresponding side panel part, matching results are obtained; based on the matching results, the detection result of the assembly state of the side panel parts of the vehicle to be tested is determined, realizing the automatic detection of the assembly state of the side panel parts of the vehicle, and improving the detection efficiency and accuracy.

[0059] Further, in one embodiment, the determining the detection result of the assembly state of the side panel parts of the vehicle to be tested based on the matching results includes:

[0060] When all the first attribute data in the matching results and the standard attribute data of the corresponding side panel parts are matched, it is determined that the detection result of the assembly state of the side panel parts of the vehicle to be tested is passed; otherwise, it is determined that the detection result of the assembly state of the side panel parts of the vehicle to be tested is not passed.

[0061] It can be understood that as long as there is one first attribute data in all the matching results that is not matched with the standard attribute data of the corresponding side panel part, it means that there is a misassembly or missing installation of the side panel part corresponding to the first attribute data, and it can be directly determined that the detection result of the assembly state of the side panel parts of the vehicle to be tested is not passed. Only when all the first attribute data in all the matching results and the standard attribute data of the corresponding side panel parts are matched, it means that there is no misassembly or missing installation of all the side panel parts, and at this time, it can be determined that the detection result of the assembly state of the side panel parts of the vehicle to be tested is passed.

[0062] In this embodiment, a judgment criterion for determining whether the detection result of the assembly state of the side panel parts of the vehicle to be tested is passed is given, laying a foundation for realizing the automatic detection of the assembly state of the side panel parts of the vehicle.

[0063] Further, in one embodiment, after the step of determining that the detection result of the assembly state of the side panel parts of the vehicle to be tested is not passed, the method further includes:

[0064] Pushing the detection result of the assembly state of the side panel parts of the vehicle to be tested to the electronic device of the tester.

[0065] In the specific implementation, after determining that the side panel parts assembly status detection result of the vehicle to be tested is failed, the side panel parts assembly status detection result of the vehicle to be tested is pushed to the electronic device of the inspector, so that the inspector can respond to it in time and replace or reinstall the side panel parts of the vehicle to be tested that are incorrectly installed or missing in the assembly status.

[0066] In this embodiment, after determining that the side panel parts assembly status detection result of the vehicle to be tested is a failure, the side panel parts assembly status detection result of the vehicle to be tested is pushed to the electronic device of the inspector, thereby improving the timeliness of handling abnormal assembly status of the side panel parts of the vehicle to be tested.

[0067] Furthermore, in one embodiment, after determining that the side panel parts assembly state detection result of the vehicle to be tested is passed, the method further includes: recording the side panel parts assembly state detection result of the vehicle to be tested for later tracing. After the recording is completed, the side panel parts quality inspection process of the next vehicle is automatically started.

[0068] In a second aspect, an embodiment of the present application also provides a device for detecting the assembly status of side panel parts of a vehicle.

[0069] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of a vehicle side panel parts assembly status detection device of the present application. Figure 2 As shown, the vehicle side panel parts assembly state detection device 200 includes:

[0070] The first acquisition module 201 is used to acquire the VIN code of the vehicle under test and the side panel parts pictures obtained by taking pictures of the side panel parts of the vehicle under test by a camera device when the vehicle under test passes through the side panel parts assembly state detection station;

[0071] An identification module 202, which is used to identify first attribute data of the side panel parts in each of the side panel parts images;

[0072] A second acquisition module 203 is used to acquire standard attribute data of each side panel part in the side panel part style data set corresponding to the VIN code;

[0073] The determination module 204 is used to determine the detection result of the assembly state of the side panel parts of the vehicle to be tested based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data.

[0074] Furthermore, in one embodiment, the identification module is specifically used for:

[0075] Input the side panel part picture into the side panel part detection model, and output the first attribute data of the side panel part in the side panel part picture, where the side panel part detection model is implemented based on image processing technology.

[0076] Further, in one embodiment, the determining module is specifically configured to:

[0077] Match each first attribute data with the standard attribute data of the corresponding side panel part of the side panel part to obtain a matching result;

[0078] Based on the matching result, determine the detection result of the assembly state of the side panel part of the vehicle to be tested.

[0079] Further, in one embodiment, the determining module is specifically configured to:

[0080] When each first attribute data in the matching result matches the standard attribute data of the corresponding side panel part of the side panel part, determine that the detection result of the assembly state of the side panel part of the vehicle to be tested is passed; otherwise, determine that the detection result of the assembly state of the side panel part of the vehicle to be tested is not passed.

[0081] Further, in one embodiment, the side panel part assembly state detection device of the vehicle further includes a pushing module, and the pushing module is specifically configured to:

[0082] After the step of determining that the detection result of the assembly state of the side panel part of the vehicle to be tested is not passed, push the detection result of the assembly state of the side panel part of the vehicle to be tested to the electronic device of the tester.

[0083] Further, in one embodiment, the side panel part assembly state detection device of the vehicle further includes a recording module, and the recording module is specifically configured to:

[0084] After the step of determining that the detection result of the assembly state of the side panel part of the vehicle to be tested is passed, record the detection result of the assembly state of the side panel part of the vehicle to be tested.

[0085] Wherein, the function implementation of each module in the above-mentioned side panel part assembly state detection device of the vehicle corresponds to each step in the above-mentioned embodiment of the side panel part assembly state detection method of the vehicle, and its function and implementation process will not be elaborated here one by one.

[0086] In a third aspect, an embodiment of the present application provides a side panel part assembly state detection device for a vehicle. The side panel part assembly state detection device for a vehicle may be a device with data processing functions such as a personal computer (PC), a notebook computer, a server, etc.

[0087] Refer to Figure 3 , Figure 3This is a schematic diagram of the hardware structure of the side body part assembly state detection device for vehicles involved in the solution of the embodiments of the present application. In the embodiments of the present application, the side body part assembly state detection device for vehicles may include a processor, a memory, a communication interface, and a communication bus.

[0088] Among them, the communication bus can be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0089] The communication interface includes interfaces such as input / output (I / O) interfaces, physical interfaces, and logical interfaces for interconnecting components inside the side body part assembly state detection device for vehicles, as well as interfaces for interconnecting the side body part assembly state detection device for vehicles with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.

[0090] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical memory, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0091] The processor can be a general-purpose processor, which can call the side body part assembly state detection program stored in the memory and execute the side body part assembly state detection method provided by the embodiments of the present application. The side body part assembly state detection method includes: when the vehicle to be tested passes through the side body part assembly state detection station, obtaining the VIN code of the vehicle to be tested and the side body part pictures obtained by the camera device taking pictures of each side body part of the vehicle to be tested; identifying the first attribute data of the side body parts in each of the side body part pictures; obtaining the standard attribute data of each side body part in the side body part style data set corresponding to the VIN code; and determining the side body part assembly state detection result of the vehicle to be tested based on each first attribute data and the standard attribute data of the side body part corresponding to each first attribute data.

[0092] For example, a general-purpose processor may be a central processing unit (CPU). Among them, the method executed when the side panel part assembly state detection program of the vehicle is called may refer to the various embodiments of the side panel part assembly state detection method of the vehicle in this application, which will not be elaborated here.

[0093] Those skilled in the art can understand that Figure 3 the hardware structure shown in does not constitute a limitation to this application, and may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0094] Fourthly, the embodiments of this application also provide a computer-readable storage medium.

[0095] The side panel part assembly state detection program of the vehicle is stored on the computer-readable storage medium of this application. When the side panel part assembly state detection program of the vehicle is executed by a processor, the steps of the side panel part assembly state detection method as described above are implemented. The side panel part assembly state detection method of the vehicle includes: when the vehicle to be tested passes through the side panel part assembly state detection station, obtaining the VIN code of the vehicle to be tested and the side panel part pictures obtained by photographing each side panel part of the vehicle to be tested by a camera device; identifying the first attribute data of the side panel parts in each of the side panel part pictures; obtaining the standard attribute data of each side panel part in the side panel part style data set corresponding to the VIN code; and determining the side panel part assembly state detection result of the vehicle to be tested based on each first attribute data and the standard attribute data of the side panel part corresponding to each first attribute data.

[0096] Among them, the method implemented when the side panel part assembly state detection program of the vehicle is executed may refer to the various embodiments of the side panel part assembly state detection method of the vehicle in this application, which will not be elaborated here.

[0097] It should be noted that the serial numbers of the above embodiments of this application are only for description and do not represent the superiority or inferiority of the embodiments.

[0098] The terms "including" and "having" and any variations thereof in the specification, claims and drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices. The descriptions of the terms "first", "second", "third", etc. are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit that "first", "second", and "third" are of different types.

[0099] In the description of the embodiments of the present application, words such as "exemplary", "for example", or "for illustration" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary", "for example", or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "for example", or "for illustration" is intended to present the relevant concepts in a specific manner.

[0100] In the description of the embodiments of the present application, unless otherwise specified, " / " means "or". For example, A / B may mean A or B; "and / or" in the text is merely a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality of" means two or more than two.

[0101] In some processes described in the embodiments of the present application, a plurality of operations or steps appear in a specific order. However, it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or may be executed in parallel. The serial numbers of the operations are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in order or in parallel, and these operations or steps may be combined.

[0102] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium as described above (such as ROM / RAM, magnetic disk, optical disc) and includes several instructions for causing a terminal device to execute the methods described in the various embodiments of the present application.

[0103] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structural or equivalent process transformation made by using the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A method for detecting the assembly state of side parts of a vehicle, characterized in that: The vehicle side parts assembly state detection method comprises: When the vehicle to be tested passes through the side panel parts assembly status detection station, the VIN code of the vehicle to be tested and the side panel parts pictures obtained by taking pictures of the side panel parts of the vehicle to be tested by the camera device are obtained; Identify first attribute data of the side panel parts in each of the side panel parts images; Obtaining standard attribute data of each side panel part in the side panel part style data set corresponding to the VIN code; Based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data, a detection result of the assembly state of the side panel parts of the vehicle to be tested is determined.

2. The vehicle side panel parts assembly state detection method according to claim 1, characterized in that: The identifying first attribute data of the side panel parts in each of the side panel parts pictures includes: The side panel part image is input into a side panel part detection model, and first attribute data of the side panel part in the side panel part image is output, wherein the side panel part detection model is implemented based on image processing technology.

3. The vehicle side panel parts assembly state detection method according to claim 1, characterized in that: The step of determining the detection result of the assembly state of the side panel parts of the vehicle to be tested based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data includes: Matching each first attribute data with the standard attribute data of the side panel parts corresponding to each first attribute data to obtain a matching result; Based on the matching result, a detection result of the assembly state of the side panel parts of the vehicle to be tested is determined.

4. The vehicle side panel parts assembly state detection method according to claim 3, characterized in that: The step of determining the detection result of the assembly state of the side panel parts of the vehicle to be tested based on the matching result includes: When each first attribute data in the matching result and the standard attribute data of the side panel parts corresponding to each first attribute data match, the side panel parts assembly status detection result of the tested vehicle is determined to be passed; otherwise, the side panel parts assembly status detection result of the tested vehicle is determined to be failed.

5. The vehicle side panel parts assembly state detection method according to claim 4, characterized in that: After the step of determining that the side panel parts assembly state test result of the vehicle to be tested is a failure, the method further includes: The detection result of the assembly state of the side panel parts of the vehicle to be tested is pushed to the electronic equipment of the tester.

6. The vehicle side panel parts assembly state detection method according to claim 4, characterized in that: After the step of determining that the side panel parts assembly state detection result of the vehicle to be tested is passed, the method further includes: Record the test results of the assembly status of the side panel parts of the vehicle to be tested.

7. A vehicle side panel parts assembly state detection device, characterized in that: The vehicle side panel parts assembly state detection device comprises: A first acquisition module, which is used to acquire the VIN code of the vehicle to be tested and the side panel parts pictures obtained by taking pictures of the side panel parts of the vehicle to be tested by a camera device when the vehicle to be tested passes through the side panel parts assembly state detection station; An identification module, which is used to identify the first attribute data of the side surrounding parts in each of the side surrounding parts pictures; A second acquisition module, which is used to acquire standard attribute data of each side panel part in the side panel part style data set corresponding to the VIN code; The determination module is used to determine the detection result of the assembly state of the side panel parts of the vehicle to be tested based on each first attribute data and the standard attribute data of the side panel parts corresponding to each first attribute data.

8. The vehicle side panel component assembly state detection device according to claim 7, characterized in that: The identification module is specifically used for: The side panel part image is input into a side panel part detection model, and first attribute data of the side panel part in the side panel part image is output, wherein the side panel part detection model is implemented based on image processing technology.

9. A vehicle side panel parts assembly status detection device, characterized in that: The vehicle's side panel parts assembly status detection device includes a processor, a memory, and a vehicle's side panel parts assembly status detection program stored in the memory and executable by the processor, wherein when the vehicle's side panel parts assembly status detection program is executed by the processor, the steps of the vehicle's side panel parts assembly status detection method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a vehicle side panel part assembly status detection program, wherein when the vehicle side panel part assembly status detection program is executed by a processor, the steps of the vehicle side panel part assembly status detection method as described in any one of claims 1 to 6 are implemented.

Images