Vehicle inspection method, device, equipment, medium and program product

Abstract

The invention provides a vehicle inspection method, device and equipment, a medium and a program product, which can be applied to the technical fields of image processing and vehicle management and control. The method comprises the steps that in response to the situation that a to-be-detected vehicle enters an inspection station, vehicle information of the to-be-detected vehicle is obtained, and the vehicle information comprises vehicle weight data, a compartment perspective view, a compartment three-dimensional view and vehicle identification data; based on the vehicle identification data, obtaining standard weight data, a standard carriage appearance view, a standard carriage perspective view, a standard carriage three-dimensional view and a vehicle historical inspection record of the to-be-detected vehicle; based on the carriage perspective view, the standard carriage perspective view, the vehicle weight data and the standard weight data, determining whether the to-be-detected vehicle is abnormal in cargo loading; determining an abnormal volume based on the carriage three-dimensional view, the standard carriage appearance view and the standard carriage three-dimensional view under the condition that the to-be-detected vehicle is abnormal in cargo loading; and updating the historical inspection record of the vehicle based on the abnormal volume.

Description

Technical Field

[0001] The present disclosure relates to the technical fields of image processing and vehicle control, and in particular to a vehicle inspection method, device, equipment, medium and program product. Background Art

[0002] According to the highway traffic management regulations, vehicles carrying fresh agricultural products and complying with relevant regulations are exempt from highway tolls. During the management process, it was found that there were problems such as drivers pretending to be green pass vehicles and overloading green pass vehicles to evade highway tolls. In order to deal with the above problems, green pass vehicles are usually manually inspected at the toll gates where vehicles enter and exit the highway.

[0003] In the process of implementing the present disclosure, the inventors found that manual inspection requires inspectors to board the vehicle for inspection, which is a cumbersome process and may cause vehicle congestion and affect traffic efficiency. If random inspection is used to avoid affecting traffic efficiency, overloaded vehicles may be missed, and the degree of automation and accuracy of vehicle inspection are low. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a vehicle inspection method, device, equipment, medium and program product.

[0005] According to a first aspect of the present disclosure, a vehicle inspection method is provided, comprising: in response to a vehicle to be inspected entering an inspection station, obtaining vehicle information of the vehicle to be inspected, wherein the vehicle information includes vehicle weight data, a cabin perspective view, a cabin three-dimensional view, and vehicle identification data; based on the vehicle identification data, obtaining standard weight data, a standard cabin appearance view, a standard cabin perspective view, a standard cabin three-dimensional view, and a vehicle historical inspection record of the vehicle to be inspected; based on the cabin perspective view and the standard cabin perspective view as well as the vehicle weight data and the standard weight data, determining whether the vehicle to be inspected is abnormally loaded with cargo; in the case of abnormal loading of the vehicle to be inspected, determining an abnormal volume based on the cabin three-dimensional view, the standard cabin appearance view, and the standard cabin three-dimensional view; and updating the vehicle historical inspection record based on the abnormal volume.

[0006] According to an embodiment of the present disclosure, in the case where the cargo loading of a vehicle to be detected is abnormal, the abnormal volume is determined based on the three-dimensional view of the cabin, the standard cabin appearance view and the standard three-dimensional view of the cabin, including: in the case where it is determined that the cargo loading of the vehicle to be detected is abnormal, based on the three-dimensional view of the cabin and the three-dimensional view of the standard cabin, determining the abnormal area where the cargo loading is abnormal; determining the cabin area of ​​the vehicle to be detected based on the three-dimensional view of the cabin; determining the proportional relationship between the abnormal area and the cabin area; determining the cabin volume of the cabin based on the standard cabin appearance view; and determining the abnormal volume based on the cabin volume and the proportional relationship.

[0007] According to an embodiment of the present disclosure, based on the carriage perspective view and the standard carriage perspective view as well as the vehicle weight data and the standard weight data, it is determined whether the vehicle to be inspected has abnormal cargo loading, including: comparing the vehicle weight data with the standard weight data to determine the weight comparison result; determining the standard distribution of the cargo carried by the vehicle to be inspected based on the standard carriage perspective view; determining the current distribution of the cargo carried by the vehicle to be inspected based on the carriage perspective view; comparing the current distribution with the standard distribution to determine the cargo comparison result; and determining whether the vehicle to be inspected has abnormal cargo loading based on the weight comparison result and the cargo comparison result.

[0008] According to an embodiment of the present disclosure, based on the weight comparison result and the cargo comparison result, it is determined whether the vehicle to be inspected has abnormal cargo loading, including: determining the weight change range based on the standard weight data and the preset weight change ratio; when the vehicle weight data is outside the weight change range, determining that the weight comparison result represents the weight abnormality of the vehicle to be inspected; when the current distribution situation is different from the standard distribution situation, determining that the cargo comparison result represents the abnormal cargo distribution of the vehicle to be inspected; and when it is determined that the vehicle to be inspected has abnormal weight and / or abnormal cargo distribution, determining that the vehicle to be inspected has abnormal cargo loading.

[0009] According to an embodiment of the present disclosure, the vehicle historical inspection record is updated based on the abnormal volume, including: determining the inspection result of the vehicle to be inspected based on the abnormal volume, wherein the inspection result includes the abnormal cargo loading and abnormal volume of the vehicle to be inspected; and updating the vehicle historical inspection record using the inspection result.

[0010] According to an embodiment of the present disclosure, based on the vehicle identification data, the standard weight data, standard compartment appearance view, standard compartment perspective view, standard compartment three-dimensional view and vehicle historical inspection record of the vehicle to be inspected are obtained, including: based on the vehicle identification data, the vehicle model, standard weight data, standard compartment perspective view, standard compartment three-dimensional view and vehicle historical inspection record of the vehicle to be inspected are determined, wherein the standard weight data, standard compartment perspective view and standard compartment three-dimensional view are obtained based on the inspection when the vehicle to be inspected passes through the preceding inspection station of the inspection station, and the vehicle historical inspection record is determined based on the historical cargo loading behavior of the vehicle to be inspected and the corresponding vehicle inspection results; and based on the vehicle model, the standard compartment appearance view is determined.

[0011] According to an embodiment of the present disclosure, the vehicle inspection method also includes: marking the vehicle to be inspected as a high-risk vehicle when the vehicle history inspection record indicates that the number of times the vehicle to be inspected has abnormal cargo loading is greater than a preset threshold; and when it is determined that the high-risk vehicle has abnormal cargo loading, pushing the vehicle identification data of the high-risk vehicle and the abnormal volume of the high-risk vehicle to the management end.

[0012] A second aspect of the present disclosure provides a checkpoint, comprising: a camera device, for collecting vehicle identification data of a vehicle to be inspected when the vehicle to be inspected enters the checkpoint; a compartment scanning device, for collecting a compartment perspective view and a compartment three-dimensional view of the vehicle to be inspected when the vehicle to be inspected enters the checkpoint; a weighing device, for collecting vehicle weight data of the vehicle to be inspected when the vehicle to be inspected enters the checkpoint; a memory, for storing vehicle identification data, standard weight data, standard compartment appearance view, standard compartment perspective view, standard compartment three-dimensional view and vehicle historical inspection records of multiple historical vehicles; and a processor, for processing data acquired from the camera device, the compartment scanning device, the weighing device and the memory, to implement the steps of the above method and perform a vehicle inspection on the vehicle to be inspected.

[0013] The third aspect of the present disclosure provides a vehicle inspection device, including: an information acquisition module, used to obtain vehicle information of the vehicle to be inspected in response to the vehicle to be inspected entering the inspection station, wherein the vehicle information includes vehicle weight data, a car perspective view, a car three-dimensional view, and vehicle identification data; a historical information acquisition module, used to obtain standard weight data, a standard car appearance view, a standard car perspective view, a standard car three-dimensional view, and a vehicle historical inspection record of the vehicle to be inspected based on the vehicle identification data; a result determination module, used to determine whether the vehicle to be inspected is abnormally loaded with cargo based on the car perspective view and the standard car perspective view as well as the vehicle weight data and the standard weight data; a volume determination module, used to determine the abnormal volume based on the car three-dimensional view, the standard car appearance view, and the standard car three-dimensional view when the vehicle to be inspected is abnormally loaded with cargo; and a record update module, used to update the vehicle historical inspection record based on the abnormal volume.

[0014] A fourth aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0015] The fifth aspect of the present disclosure further provides a computer-readable storage medium having a computer program or instructions stored thereon, which implements the steps of the above method when the above computer program or instructions are executed by a processor.

[0016] The sixth aspect of the present disclosure further provides a computer program product, including a computer program or instructions, which implement the steps of the above method when the above computer program or instructions are executed by a processor.

[0017] According to the embodiments of the present disclosure, the vehicle information collected when the vehicle to be inspected enters the inspection station is used to obtain the information collected when the vehicle enters the entrance of the target road section, and by comparing the information obtained at different times, it is determined whether the vehicle to be inspected has abnormal cargo loading. When there is abnormal cargo loading, the abnormal volume of the abnormal cargo loading is calculated, and the vehicle historical inspection record is updated based on the abnormal volume to record the abnormal situation. By automating the entire process of vehicle inspection, it is possible to save labor costs, improve vehicle inspection efficiency and accuracy, and thus increase the speed of vehicle traffic in the inspection station. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above contents and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0019] Figure 1 The application scenario diagram of the vehicle inspection method, device, equipment, medium and program product according to the embodiment of the present disclosure is schematically shown;

[0020] Figure 2 A flow chart of a vehicle inspection method according to an embodiment of the present disclosure is schematically shown;

[0021] Figure 3A Schematically shows a three-dimensional view of a carriage according to an embodiment of the present disclosure;

[0022] Figure 3B Schematically shows a three-dimensional view of a standard carriage according to an embodiment of the present disclosure;

[0023] Figure 4 A structural block diagram of a vehicle inspection device according to an embodiment of the present disclosure is schematically shown; and

[0024] Figure 5 A block diagram of an electronic device suitable for implementing a vehicle inspection method according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0025] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0026] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0027] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0028] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0029] In the technical solution of the present disclosure, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0030] In the scenario of using personal information for automated decision-making, the methods, devices, and systems provided by the embodiments of the present disclosure provide users with corresponding operation portals for users to choose to agree or reject the automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered. The expression "automated decision-making" here refers to the activity of automatically analyzing and evaluating a person's behavioral habits, interests and hobbies, or economic, health, credit status, etc. through computer programs, and making decisions. The expression "expert decision-making" here refers to the activity of making decisions by people who specialize in a certain field, have specialized experience, knowledge and skills, and have reached a certain level of professionalism.

[0031] An embodiment of the present disclosure provides a vehicle inspection method, comprising: in response to a vehicle to be inspected entering an inspection station, obtaining vehicle information of the vehicle to be inspected, wherein the vehicle information includes vehicle weight data, a cabin perspective view, a cabin three-dimensional view, and vehicle identification data; based on the vehicle identification data, obtaining standard weight data, a standard cabin appearance view, a standard cabin perspective view, a standard cabin three-dimensional view, and a vehicle historical inspection record of the vehicle to be inspected; based on the cabin perspective view and the standard cabin perspective view as well as the vehicle weight data and the standard weight data, determining whether the vehicle to be inspected is abnormally loaded with cargo; in the case of abnormal cargo loading of the vehicle to be inspected, determining an abnormal volume based on the cabin three-dimensional view, the standard cabin appearance view, and the standard cabin three-dimensional view; and updating the vehicle historical inspection record based on the abnormal volume.

[0032] Figure 1 A scene diagram of a vehicle inspection station according to an embodiment of the present disclosure is schematically shown.

[0033] like Figure 1 As shown, the inspection station 100 includes: a camera device 101, a carriage scanning device 102, a weighing device 103, a memory 104 and a processor 105.

[0034] The camera device 101 may be arranged at the entrance of a vehicle inspection station to collect vehicle identification data such as license plate numbers of vehicles to be inspected entering the inspection station.

[0035] The weighing device 103 may be a device such as a floor scale for weighing a car.

[0036] The carriage scanning device 102 includes a transmitting end with a transmitting component and a receiving end with a receiving component, which can be arranged on both sides of the weighing device 103. When the vehicle to be detected drives to the weighing device 103 for weighing, the transmitting component of the transmitting end is used to emit detection light, and the receiving end is used to receive the detection light after passing through the carriage of the vehicle to be detected.

[0037] The memory 104 may be used to store vehicle identification data, standard weight data, standard vehicle compartment appearance view, standard vehicle compartment perspective view, standard vehicle compartment three-dimensional view, and vehicle history inspection records.

[0038] The processor 105 can be connected to the camera device 101 , the carriage scanning device 102 , the weighing device 103 and the memory 104 to process the acquired data, determine the inspection result of the vehicle, and update the vehicle inspection history record in the memory 104 .

[0039] The following will be based on Figure 1 Describe the checkpoints, through Figure 2 ~Figure 3 describes in detail the vehicle inspection method of the embodiment of the present disclosure.

[0040] Figure 2 The flowchart of the vehicle inspection method according to the embodiment of the present disclosure is schematically shown.

[0041] like Figure 2 As shown, the vehicle inspection method of this embodiment includes operations S210 to S250.

[0042] In operation S210 , in response to a vehicle to be inspected entering a checkpoint, vehicle information of the vehicle to be inspected is acquired.

[0043] According to an embodiment of the present disclosure, the vehicle information includes vehicle weight data, a vehicle compartment perspective view, a vehicle compartment three-dimensional view, and vehicle identification data.

[0044] According to an embodiment of the present disclosure, vehicle weight data is collected by using a weighing device in an inspection station, and the perspective view of the carriage can be obtained by using a carriage scanning device. A detection light is emitted from one side of the carriage by using, for example, an X-ray emitting component, so that the detection light passes through the carriage and is received by a receiving component on the other side, and the light received by the receiving component is analyzed to determine the perspective view of the carriage. The three-dimensional view of the carriage can be obtained by performing a three-dimensional scan of the carriage using a carriage scanning device. The vehicle identification data may include information such as the vehicle license plate number.

[0045] In operation S220, based on the vehicle identification data, standard weight data, standard vehicle compartment appearance view, standard vehicle compartment perspective view, standard vehicle compartment three-dimensional view and vehicle historical inspection records of the vehicle to be inspected are acquired.

[0046] According to an embodiment of the present disclosure, the standard weight data, standard car appearance view, standard car perspective view, and standard car three-dimensional view of the vehicle to be inspected may be collected when the vehicle to be inspected enters the entrance of the target road section. For example, the target road section is a certain highway section, and the target road section entrance is the entrance of the highway section. The vehicle history inspection record may include the historical vehicle inspection results of the vehicle to be inspected passing through the target road section, including whether there are abnormal records, the number of abnormal records, etc.

[0047] In operation S230, it is determined whether the vehicle to be inspected has abnormal cargo loading based on the vehicle compartment perspective view and the standard vehicle compartment perspective view as well as the vehicle weight data and the standard weight data.

[0048] According to an embodiment of the present disclosure, the vehicle compartment perspective view and the standard vehicle compartment perspective view, the vehicle weight data and the standard weight data are respectively compared, and based on the comparison results, the change in the current cargo state of the vehicle to be detected compared with the cargo state when passing the entrance of the target road section is determined.

[0049] According to the embodiments of the present disclosure, since it is usually necessary to manually inspect the loading status of the vehicle to be inspected when passing the entrance of the target road section, the standard compartment perspective view and the standard weight data can be determined as the standard status. When the comparison result indicates that the current loading status of the vehicle to be inspected has a large change compared with the standard status, it can be determined that the vehicle to be inspected has abnormal loading.

[0050] According to the embodiments of the present disclosure, when the vehicle to be inspected carries goods of different types or materials, the degree of penetration of the detection light into the goods is different, and the shape contours of different goods are also different. Therefore, the image features of the green pass products that meet the requirements are added to the feature library. When performing vehicle inspection, the image features of multiple goods included in the perspective view of the car body are compared with the image features in the feature library, and it is also possible to judge whether the vehicle to be inspected carries illegal goods.

[0051] In operation S240, in case that the to-be-detected vehicle has abnormal cargo loading, an abnormal volume is determined based on the vehicle compartment 3D view, the standard vehicle compartment appearance view, and the standard vehicle compartment 3D view.

[0052] According to an embodiment of the present disclosure, the abnormal volume is used to characterize the difference in cargo volume between the current cargo state and the standard state of the vehicle to be inspected. The change in cargo volume can be determined by analyzing the three-dimensional view of the vehicle compartment and the three-dimensional view of the standard vehicle compartment, and the abnormal volume can be calculated based on the change and the standard vehicle compartment appearance view.

[0053] In operation S250 , the vehicle history inspection record is updated based on the abnormal volume.

[0054] According to an embodiment of the present disclosure, the inspection result of this time is added to the historical inspection record of the vehicle, wherein the inspection result of this time is that an abnormality exists, and the abnormal volume is recorded in the result.

[0055] According to the embodiments of the present disclosure, the vehicle information collected when the vehicle to be inspected enters the inspection station is used to obtain the information collected when the vehicle enters the entrance of the target road section, and by comparing the information obtained at different times, it is determined whether the vehicle to be inspected has abnormal cargo loading. When there is abnormal cargo loading, the abnormal volume of the abnormal cargo loading is calculated, and the vehicle historical inspection record is updated based on the abnormal volume to record the abnormal situation. By automating the entire process of vehicle inspection, it is possible to save labor costs, improve vehicle inspection efficiency and accuracy, and thus increase the speed of vehicle traffic in the inspection station.

[0056] According to an embodiment of the present disclosure, in the case where the cargo loading of a vehicle to be detected is abnormal, the abnormal volume is determined based on the three-dimensional view of the cabin, the standard cabin appearance view and the standard three-dimensional view of the cabin, including: in the case where it is determined that the cargo loading of the vehicle to be detected is abnormal, based on the three-dimensional view of the cabin and the three-dimensional view of the standard cabin, determining the abnormal area where the cargo loading is abnormal; determining the cabin area of ​​the vehicle to be detected based on the three-dimensional view of the cabin; determining the proportional relationship between the abnormal area and the cabin area; determining the cabin volume of the cabin based on the standard cabin appearance view; and determining the abnormal volume based on the cabin volume and the proportional relationship.

[0057] According to the embodiments of the present disclosure, since the area in the compartment where the cargo is placed in the current loading state of the vehicle to be inspected and the standard state can be determined respectively based on the compartment three-dimensional view and the standard compartment three-dimensional view, the change in the area where the cargo is placed in the current loading state compared with the standard state can be determined based on the compartment three-dimensional view and the standard compartment three-dimensional view, and this part of the area can be determined as an abnormal area.

[0058] According to the embodiments of the present disclosure, the loaded and unloaded areas in the carriage can be determined respectively based on the three-dimensional view of the carriage and the three-dimensional view of the standard carriage, and the carriage can be further divided into multiple cubes, and abnormal areas can be determined based on the cubes with different loading states in the three-dimensional view of the carriage and the three-dimensional view of the standard carriage.

[0059] Figure 3A A three-dimensional view of a vehicle compartment according to an embodiment of the present disclosure is schematically shown.

[0060] like Figure 3A As shown in the figure, the cubic space is the compartment of the vehicle to be detected, the black cube is the cargo placed in the compartment, the area occupied by the cargo is the cargo area, and the area without cargo is the unloaded area. In the case of irregular placement of cargo, the differential method can be used to segment the compartment area and distinguish between the cargo area and the unloaded area.

[0061] Figure 3B A three-dimensional view of a standard carriage according to an embodiment of the present disclosure is schematically shown.

[0062] like Figure 3B As shown, the cubic space is the compartment of the vehicle to be detected, the black cube is the cargo placed in the compartment, the area occupied by the cargo is the cargo area, and the area without cargo is the unloaded area. Compared with the three-dimensional view of the compartment, cargo 301 is newly added cargo. Therefore, compared with the three-dimensional view of the compartment, the standard three-dimensional view of the compartment adds the area occupied by cargo 301 in the cargo area, and the area where cargo 301 is located can be determined as an abnormal area.

[0063] According to an embodiment of the present disclosure, the three-dimensional view of the carriage and the three-dimensional view of the standard carriage may include multiple angles, and by performing volume analysis and calculation from multiple different angles, the abnormal area can be accurately located and calculated.

[0064] According to the embodiments of the present disclosure, the abnormal area includes information such as the shape and length of the abnormal area in the three-dimensional view of the carriage, and the carriage area includes size information such as the length, width, and height of the carriage in the three-dimensional view of the carriage. Based on the abnormal area and the carriage area, the volume of the abnormal area and the volume of the carriage area can be determined respectively, and the proportional relationship between the abnormal area and the carriage area can be determined, that is, the proportion of the abnormal area in the carriage area.

[0065] According to the embodiments of the present disclosure, the parameters of the abnormal area and the car compartment area can be determined after reducing the car compartment in proportion. Therefore, in order to determine the actual abnormal volume, the actual parameters of the car compartment of the vehicle to be inspected can be determined based on the standard car compartment appearance view, and the car compartment volume of the car compartment can be further determined. Based on the relationship between the car compartment volume and the proportion, the abnormal volume can be determined, wherein the abnormal volume is the volume where the cargo placement situation changes.

[0066] According to the embodiments of the present disclosure, based on the three-dimensional view of the car, the three-dimensional view of the standard car and the appearance view of the standard car, the proportional relationship between the abnormal area and the car area is determined, and the abnormal volume is further calculated automatically, which can reduce manual participation, improve the efficiency and accuracy of the abnormal volume calculation process, and reduce labor costs.

[0067] According to an embodiment of the present disclosure, based on the carriage perspective view and the standard carriage perspective view as well as the vehicle weight data and the standard weight data, it is determined whether the vehicle to be inspected has abnormal cargo loading, including: comparing the vehicle weight data with the standard weight data to determine the weight comparison result; determining the standard distribution of the cargo carried by the vehicle to be inspected based on the standard carriage perspective view; determining the current distribution of the cargo carried by the vehicle to be inspected based on the carriage perspective view; comparing the current distribution with the standard distribution to determine the cargo comparison result; and determining whether the vehicle to be inspected has abnormal cargo loading based on the weight comparison result and the cargo comparison result.

[0068] According to an embodiment of the present disclosure, the weight comparison result can be obtained by subtracting the vehicle weight data from the standard weight data. The cargo comparison result can be used to characterize whether there is a difference between the current distribution and the standard distribution. When the weight comparison result and / or the standard distribution characterizes a change in the cargo loading, it can be determined that the cargo loading of the vehicle to be detected is abnormal.

[0069] According to the embodiments of the present disclosure, based on the weight comparison results and the cargo comparison results, it is possible to more comprehensively determine whether there is any abnormal cargo loading, reduce the probability of missed detection and false detection, and improve the accuracy of vehicle inspection.

[0070] According to an embodiment of the present disclosure, based on the weight comparison result and the cargo comparison result, it is determined whether the vehicle to be inspected has abnormal cargo loading, including: determining the weight change range based on the standard weight data and the preset weight change ratio; when the vehicle weight data is outside the weight change range, determining that the weight comparison result represents the weight abnormality of the vehicle to be inspected; when the current distribution situation is different from the standard distribution situation, determining that the cargo comparison result represents the abnormal cargo distribution of the vehicle to be inspected; and when it is determined that the vehicle to be inspected has abnormal weight and / or abnormal cargo distribution, determining that the vehicle to be inspected has abnormal cargo loading.

[0071] According to an embodiment of the present disclosure, the preset weight change ratio can be determined according to the type of cargo loaded by the vehicle to be detected, and is used to characterize the weight change that may occur in the normal transportation process of the cargo of this type. When the vehicle weight data is outside the weight change range, it indicates that the load change of the vehicle to be detected does not belong to the change in the normal transportation process, and the cargo may be increased or decreased, so the weight abnormality can be determined.

[0072] According to an embodiment of the present disclosure, the weight of goods may change during normal transportation, but the distribution of the goods usually does not change. When the current distribution is different from the standard distribution, it can be determined that the distribution of the goods has changed, and the change may be caused by adding or reducing the goods. Therefore, it can be determined that the distribution of the goods is abnormal.

[0073] According to the embodiments of the present disclosure, in the case of abnormal weight and / or abnormal distribution of cargo, it can be determined that the vehicle to be detected may have increased or decreased cargo, and thus it can be determined that the vehicle to be detected has abnormal cargo loading.

[0074] According to the embodiments of the present disclosure, by considering the normal weight variation range of the cargo, the probability of missed detection and false detection can be further reduced, thereby further improving the accuracy of vehicle inspection.

[0075] According to an embodiment of the present disclosure, the vehicle historical inspection record is updated based on the abnormal volume, including: determining the inspection result of the vehicle to be inspected based on the abnormal volume, wherein the inspection result includes the abnormal cargo loading and abnormal volume of the vehicle to be inspected; and updating the vehicle historical inspection record using the inspection result.

[0076] According to an embodiment of the present disclosure, the inspection result may include vehicle identification data such as the license plate number of the vehicle to be inspected, the inspection time, the inspection location, the inspection result characterizing the abnormal loading, and the abnormal volume. The inspection result is added to the vehicle historical inspection record to complete the update of the vehicle historical inspection record.

[0077] According to an embodiment of the present disclosure, the abnormal volume is recorded in the vehicle's historical inspection record so that the degree of violation of the vehicle to be inspected can be determined during subsequent inspections, thereby improving subsequent processing efficiency.

[0078] According to an embodiment of the present disclosure, based on the vehicle identification data, the standard weight data, standard compartment appearance view, standard compartment perspective view, standard compartment three-dimensional view and vehicle historical inspection record of the vehicle to be inspected are obtained, including: based on the vehicle identification data, the vehicle model, standard weight data, standard compartment perspective view, standard compartment three-dimensional view and vehicle historical inspection record of the vehicle to be inspected are determined, wherein the standard weight data, standard compartment perspective view and standard compartment three-dimensional view are obtained based on the inspection when the vehicle to be inspected passes through the preceding inspection station of the inspection station, and the vehicle historical inspection record is determined based on the historical cargo loading behavior of the vehicle to be inspected and the corresponding vehicle inspection results; and based on the vehicle model, the standard compartment appearance view is determined.

[0079] According to an embodiment of the present disclosure, the vehicle model of the vehicle to be detected can be bound to the vehicle identification data when the vehicle to be detected is first registered. The standard weight data, standard compartment perspective view, standard compartment three-dimensional view and vehicle history inspection record of the vehicle to be detected can be collected and stored in the database when the vehicle to be detected enters the entrance of the target road section this time. The vehicle history inspection record can be updated and maintained each time the vehicle to be detected has abnormal cargo loading.

[0080] According to an embodiment of the present disclosure, based on the vehicle identification data, the vehicle model, standard weight data, standard cabin perspective view, standard cabin three-dimensional view and vehicle historical inspection record can be determined, and the standard cabin appearance view and corresponding parameters of the vehicle model can be obtained according to the vehicle model.

[0081] According to the embodiments of the present disclosure, data is acquired based on vehicle identification data, which can ensure the correctness of the data, thereby improving the accuracy and efficiency of the detection results determined based on standard weight data, standard car appearance view, standard car perspective view, and standard car three-dimensional view.

[0082] According to an embodiment of the present disclosure, the vehicle inspection method also includes: marking the vehicle to be inspected as a high-risk vehicle when the vehicle history inspection record indicates that the number of times the vehicle to be inspected has abnormal cargo loading is greater than a preset threshold; and when it is determined that the high-risk vehicle has abnormal cargo loading, pushing the vehicle identification data of the high-risk vehicle and the abnormal volume of the high-risk vehicle to the management end.

[0083] According to the embodiments of the present disclosure, when the vehicle to be inspected is a high-risk vehicle, it can be determined that the vehicle to be inspected has multiple abnormal cargo loading behaviors, and therefore it needs to be supervised more accurately and strictly. When the abnormal cargo loading occurs again, the vehicle identification data and abnormal volume will be pushed to the management end, and the management personnel will conduct further manual inspection or processing on it.

[0084] According to an embodiment of the present disclosure, when a vehicle with abnormal cargo loading is not a high-risk vehicle, the abnormal cargo loading situation can be pushed to the administrator at the exit of the target road section instead of the management end of the checkpoint, and only the abnormal cargo loading situation is used to update the vehicle's historical inspection record, and it is determined in real time whether the vehicle is a high-risk vehicle after the abnormal cargo loading situation is updated.

[0085] According to the embodiments of the present disclosure, abnormal load conditions of high-risk vehicles are pushed and managed, while abnormal load conditions of non-high-risk vehicles are recorded but not pushed. This can reduce the manual workload of checkpoints and reduce the accumulation of vehicles in checkpoints, thereby improving traffic efficiency, while meeting subsequent verification and management requirements.

[0086] Based on the above vehicle inspection method, the present disclosure also provides a vehicle inspection device. Figure 4 The device is described in detail.

[0087] Figure 4 The structural block diagram of a vehicle inspection device according to an embodiment of the present disclosure is schematically shown.

[0088] like Figure 4 As shown, the vehicle inspection device 400 of this embodiment includes an information acquisition module 410 , a history information acquisition module 420 , a result determination module 430 , a volume determination module 440 and a record update module 450 .

[0089] The information acquisition module 410 is used to obtain vehicle information of the vehicle to be detected in response to the vehicle to be detected entering the inspection station, wherein the vehicle information includes vehicle weight data, a perspective view of the vehicle compartment, a three-dimensional view of the vehicle compartment, and vehicle identification data. In one embodiment, the information acquisition module 410 can be used to perform the operation S210 described above, which will not be repeated here.

[0090] The historical information acquisition module 420 is used to acquire the standard weight data, the standard compartment appearance view, the standard compartment perspective view, the standard compartment three-dimensional view and the vehicle historical inspection record of the vehicle to be inspected based on the vehicle identification data. In one embodiment, the historical information acquisition module 420 can be used to perform the operation S220 described above, which will not be repeated here.

[0091] The result determination module 430 is used to determine whether the vehicle to be detected has abnormal cargo based on the vehicle perspective view and the standard vehicle perspective view as well as the vehicle weight data and the standard weight data. In one embodiment, the result determination module 430 can be used to perform the operation S230 described above, which will not be repeated here.

[0092] The volume determination module 440 is used to determine the abnormal volume based on the three-dimensional view of the compartment, the standard compartment appearance view and the three-dimensional view of the standard compartment when the vehicle to be detected has abnormal cargo. In one embodiment, the volume determination module 440 can be used to perform the operation S240 described above, which will not be repeated here.

[0093] The record updating module 450 is used to update the vehicle historical inspection record based on the abnormal volume. In one embodiment, the record updating module 450 can be used to perform the operation S250 described above, which will not be described in detail here.

[0094] According to an embodiment of the present disclosure, the volume determination module 440 includes a first region determination submodule, a second region determination submodule, a ratio determination submodule, a first volume determination submodule, and a second volume determination submodule.

[0095] The first area determination submodule is used to determine an abnormal area where the abnormal cargo loading exists based on the three-dimensional view of the vehicle compartment and the three-dimensional view of the standard vehicle compartment when it is determined that the vehicle to be detected has abnormal cargo loading.

[0096] The second area determination submodule is used to determine the cabin area of ​​the vehicle to be detected based on the three-dimensional cabin view.

[0097] The ratio determination submodule is used to determine the ratio relationship between the abnormal area and the carriage area.

[0098] The first volume determination submodule is used to determine the compartment volume of the compartment based on the standard compartment appearance view.

[0099] The second volume determination submodule is used to determine the abnormal volume based on the vehicle compartment volume and the proportional relationship.

[0100] According to an embodiment of the present disclosure, the result determination module 430 includes a first result determination submodule, a first distribution determination submodule, a second distribution determination submodule, a second result determination submodule, and a third result determination submodule.

[0101] The first result determination submodule is used to compare the vehicle weight data with the standard weight data to determine the weight comparison result.

[0102] The first distribution determination submodule is used to determine the standard distribution of the cargo carried by the vehicle to be detected based on the standard vehicle compartment perspective view.

[0103] The second distribution determination submodule is used to determine the current distribution of the cargo carried by the vehicle to be detected based on the perspective view of the vehicle compartment.

[0104] The second result determination submodule is used to compare the current distribution situation with the standard distribution situation to determine the goods comparison result.

[0105] The third result determination submodule is used to determine whether the vehicle to be inspected has abnormal cargo based on the weight comparison result and the cargo comparison result.

[0106] According to an embodiment of the present disclosure, the third result determination submodule includes a range determination unit, a first result determination unit, a second result determination unit, and a result determination unit.

[0107] The range determination unit is used to determine the weight change range based on the standard weight data and the preset weight change ratio.

[0108] The first result determination unit is used to determine that the weight comparison result represents that the weight of the vehicle to be detected is abnormal when the vehicle weight data is outside the weight variation range.

[0109] The second result determination unit is used to determine that the cargo comparison result indicates that the cargo distribution of the vehicle to be detected is abnormal when the current distribution situation is different from the standard distribution situation.

[0110] The result determination unit is used to determine that the vehicle to be detected has abnormal cargo loading when it is determined that the vehicle to be detected has abnormal weight and / or abnormal cargo distribution.

[0111] According to an embodiment of the present disclosure, the record updating module 450 includes a result determining submodule and a record updating submodule.

[0112] The result determination submodule is used to determine the inspection result of the vehicle to be inspected based on the abnormal volume, wherein the inspection result includes the abnormal loading and abnormal volume of the vehicle to be inspected.

[0113] The record update submodule is used to update the vehicle historical inspection record using the inspection results.

[0114] According to an embodiment of the present disclosure, the history information acquisition module 420 includes a first information acquisition submodule and a second information acquisition submodule.

[0115] The first information acquisition submodule is used to determine the vehicle model, standard weight data, standard car perspective view, standard car three-dimensional view and vehicle historical inspection record of the vehicle to be inspected based on the vehicle identification data, wherein the standard weight data, standard car perspective view and standard car three-dimensional view are obtained based on the inspection when the vehicle to be inspected passes through the preceding inspection station of the inspection station, and the vehicle historical inspection record is determined based on the historical loading behavior of the vehicle to be inspected and the corresponding vehicle inspection results.

[0116] The second information acquisition submodule is used to determine a standard vehicle compartment appearance view based on the vehicle model.

[0117] According to an embodiment of the present disclosure, the vehicle inspection device 400 further includes a vehicle marking module and an information pushing module.

[0118] The vehicle marking module is used to mark the vehicle to be detected as a high-risk vehicle when the vehicle history inspection record indicates that the number of times the vehicle to be detected has abnormal cargo is greater than a preset threshold.

[0119] The information push module is used to push the vehicle identification data of the high-risk vehicle and the abnormal volume of the high-risk vehicle to the management end when it is determined that the high-risk vehicle has abnormal cargo loading.

[0120] According to an embodiment of the present disclosure, any multiple modules of the information acquisition module 410, the historical information acquisition module 420, the result determination module 430, the volume determination module 440, and the record update module 450 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the information acquisition module 410, the historical information acquisition module 420, the result determination module 430, the volume determination module 440, and the record update module 450 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, at least one of the information acquisition module 410, the historical information acquisition module 420, the result determination module 430, the volume determination module 440 and the record update module 450 may be at least partially implemented as a computer program module, which may perform a corresponding function when executed.

[0121] Figure 5A block diagram of an electronic device suitable for implementing a vehicle inspection method according to an embodiment of the present disclosure is schematically shown.

[0122] like Figure 5 As shown, the electronic device 500 according to an embodiment of the present disclosure includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage part 508 to a random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include an onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0123] In RAM 503, various programs and data required for the operation of electronic device 500 are stored. Processor 501, ROM 502 and RAM 503 are connected to each other via bus 504. Processor 501 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 502 and / or RAM 503. It should be noted that the program can also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0124] According to an embodiment of the present disclosure, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to the bus 504. The electronic device 500 may further include one or more of the following components connected to the input / output (I / O) interface 505: an input portion 506 including a keyboard, a mouse, etc.; an output portion 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 508 including a hard disk, etc.; and a communication portion 509 including a network interface card such as a LAN card, a modem, etc. The communication portion 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that a computer program read therefrom is installed into the storage portion 508 as needed.

[0125] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0126] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 502 and / or RAM 503 described above and / or one or more memories other than ROM 502 and RAM 503.

[0127] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present disclosure.

[0128] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 501. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0129] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 509, and / or installed from the removable medium 511. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0130] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the processor 501, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0131] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0132] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0133] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0134] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A vehicle inspection method, characterized in that: The method comprises: In response to a vehicle to be inspected entering a checkpoint, obtaining vehicle information of the vehicle to be inspected, wherein the vehicle information includes vehicle weight data, a perspective view of the vehicle compartment, a three-dimensional view of the vehicle compartment, and vehicle identification data; Based on the vehicle identification data, obtain the standard weight data, standard compartment appearance view, standard compartment perspective view, standard compartment three-dimensional view and vehicle historical inspection record of the vehicle to be inspected; Determining whether the vehicle to be inspected is abnormally loaded with cargo based on the vehicle compartment perspective view and the standard vehicle compartment perspective view as well as the vehicle weight data and the standard weight data; In case that the to-be-detected vehicle is abnormally loaded with cargo, determining an abnormal volume based on the compartment three-dimensional view, the standard compartment appearance view and the standard compartment three-dimensional view; and The vehicle inspection history record is updated based on the abnormal volume.

2. The method according to claim 1, characterized in that In the case where the to-be-detected vehicle is abnormally loaded with cargo, determining the abnormal volume based on the compartment three-dimensional view, the standard compartment appearance view and the standard compartment three-dimensional view includes: In the case where it is determined that the to-be-detected vehicle is abnormally loaded with cargo, based on the three-dimensional view of the carriage and the three-dimensional view of the standard carriage, an abnormal area where the abnormal cargo is present; Determining a cabin area of ​​the vehicle to be detected based on the cabin three-dimensional view; Determining a proportional relationship between the abnormal area and the carriage area; Determining a cabin volume of the cabin based on the standard cabin appearance view; and Based on the vehicle compartment volume and the proportional relationship, the abnormal volume is determined.

3. The method according to claim 1, characterized in that The determining whether the vehicle to be detected has abnormal cargo loading based on the vehicle compartment perspective view and the standard vehicle compartment perspective view as well as the vehicle weight data and the standard weight data comprises: Comparing the vehicle weight data with the standard weight data to determine a weight comparison result; Determining a standard distribution of cargo carried by the vehicle to be inspected based on the standard vehicle compartment perspective view; Based on the perspective view of the vehicle compartment, determine the current distribution of the cargo carried by the vehicle to be detected; Comparing the current distribution with the standard distribution to determine a cargo comparison result; and Based on the weight comparison result and the cargo comparison result, it is determined whether the vehicle to be inspected has abnormal cargo.

4. The method according to claim 3, characterized in that The determining whether the vehicle to be detected has abnormal cargo based on the weight comparison result and the cargo comparison result includes: Determining a weight change range based on the standard weight data and a preset weight change ratio; In the case where the vehicle weight data is outside the weight variation range, determining that the weight comparison result represents that the weight of the vehicle to be detected is abnormal; In a case where the current distribution situation is different from the standard distribution situation, determining that the cargo comparison result indicates that cargo distribution of the vehicle to be detected is abnormal; and When it is determined that the vehicle to be detected has an abnormal weight and / or abnormal cargo distribution, it is determined that the vehicle to be detected has an abnormal cargo load.

5. The method according to claim 1, characterized in that The updating of the vehicle historical inspection record based on the abnormal volume includes: Based on the abnormal volume, determining an inspection result of the vehicle to be inspected, wherein the inspection result includes the abnormality of cargo loading of the vehicle to be inspected and the abnormal volume; and The vehicle inspection history record is updated using the inspection result.

6. The method according to claim 1, characterized in that The method of obtaining the standard weight data, the standard compartment appearance view, the standard compartment perspective view, the standard compartment three-dimensional view and the vehicle history inspection record of the vehicle to be inspected based on the vehicle identification data includes: Based on the vehicle identification data, determine the vehicle model, the standard weight data, the standard car perspective view, the standard car three-dimensional view and the vehicle historical inspection record of the vehicle to be detected, wherein the standard weight data, the standard car perspective view and the standard car three-dimensional view are obtained based on the detection of the vehicle to be detected when passing through the preceding inspection station of the inspection station, and the vehicle historical inspection record is determined based on the historical cargo loading behavior of the vehicle to be detected and the corresponding vehicle inspection result; and Based on the vehicle model, the standard vehicle cabin appearance view is determined.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: If the vehicle history inspection record indicates that the number of times that the vehicle to be detected has abnormal cargo loading is greater than a preset threshold, marking the vehicle to be detected as a high-risk vehicle; and When it is determined that the high-risk vehicle has an abnormal cargo load, the vehicle identification data of the high-risk vehicle and the abnormal volume of the high-risk vehicle are pushed to a management terminal.

8. A checkpoint, characterized in that: The inspection station includes: A camera device, used to collect vehicle identification data of the vehicle to be detected when the vehicle to be detected enters the inspection station; A carriage scanning device, used to collect a perspective view and a three-dimensional view of the carriage of the vehicle to be detected when the vehicle to be detected enters the inspection station; A weighing device is used to collect vehicle weight data of the vehicle to be inspected when the vehicle to be inspected enters the inspection station; A memory for storing vehicle identification data, standard weight data, standard vehicle compartment appearance view, standard vehicle compartment perspective view, standard vehicle compartment three-dimensional view and vehicle history inspection records of each of a plurality of historical vehicles; and A processor is used to process the data obtained from the camera device, the carriage scanning device, the weighing device and the memory, and implement the steps of the method according to any one of claims 1 to 7 to perform a vehicle inspection on the vehicle to be detected.

9. A vehicle inspection device, characterized in that: The device comprises: An information acquisition module, configured to acquire vehicle information of the vehicle to be detected in response to the vehicle to be detected entering the inspection station, wherein the vehicle information includes vehicle weight data, a perspective view of the vehicle compartment, a three-dimensional view of the vehicle compartment, and vehicle identification data; A historical information acquisition module, used to acquire the standard weight data, the standard compartment appearance view, the standard compartment perspective view, the standard compartment three-dimensional view and the vehicle historical inspection record of the vehicle to be inspected based on the vehicle identification data; A result determination module, used for determining whether the vehicle to be detected has abnormal cargo loading based on the vehicle compartment perspective view and the standard vehicle compartment perspective view as well as the vehicle weight data and the standard weight data; a volume determination module, configured to determine the abnormal volume based on the three-dimensional view of the compartment, the appearance view of the standard compartment and the three-dimensional view of the standard compartment when the cargo load of the vehicle to be detected is abnormal; and A record updating module is used to update the vehicle historical inspection record based on the abnormal volume.

10. An electronic device comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 7.

11. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

12. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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