Wireless transmission and identification system for customs clearance vehicle information and driver information

Abstract

The invention relates to the technical field of intelligent traffic, and particularly discloses a customs clearance vehicle information and driver information wireless transmission and recognition system, which comprises an information acquisition module used for acquiring image information of a target vehicle and a target driver and carrying out image preprocessing to obtain first image information; the coding transmission module is used for carrying out format conversion on the first image information based on a wireless transmission requirement and carrying out encryption transmission to obtain image transmission information; the recognition and extraction module is used for analyzing and recognizing the image transmission information based on a preset deep learning algorithm to obtain transmission analysis information, and extracting the transmission analysis information based on a customs clearance information demand to obtain customs clearance feature information; the verification feedback module is used for carrying out information abnormity judgment on the customs clearance feature information so as to carry out multi-source feature risk identification judgment and feedback processing on the target vehicle; the method and the device are used for improving the customs clearance efficiency of a customs clearance vehicle and improving the recognition precision and the information safety of information recognition.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent transportation, and particularly relates to a wireless transmission and identification system for vehicle information and driver information during customs clearance. Background Art

[0002] Currently, during the traditional vehicle customs clearance process, the collection of vehicle information and driver information mainly relies on manual operations, such as checking documents and recording information. This method is not only inefficient but also prone to errors. With the rapid development of information technology, wireless communication technology and image recognition technology have been widely applied, providing the possibility for the intelligentization of vehicle customs clearance.

[0003] However, existing wireless transmission systems often have problems such as slow image transmission speed and low recognition accuracy, making it difficult to meet the requirements of efficient and accurate customs clearance.

[0004] Therefore, the present invention proposes a wireless transmission and identification system for vehicle information and driver information during customs clearance. Summary of the Invention

[0005] The present invention provides a wireless transmission and identification system for vehicle information and driver information during customs clearance, which is used to perform encrypted transmission on the encrypted vehicle image information and driver image information, and perform parsing and identification on the encrypted transmission result based on a preset deep learning algorithm, so as to make a customs clearance judgment and determine the risk identification result, which can make the customs clearance risk identification of the target vehicle more efficient and accurate, greatly shorten the vehicle customs clearance time, and at the same time, can also more accurately perform timely feedback processing on vehicles with abnormal information.

[0006] The present invention provides a wireless transmission and identification system for vehicle information and driver information during customs clearance, including:

[0007] An information collection module, which is used to obtain the image information of the target vehicle and the target driver based on a preset image collection device, obtain the original image information, and perform image preprocessing on the original image information to obtain the first image information;

[0008] An encoding and transmission module, which is used to perform format conversion on the first image information based on wireless transmission requirements, encrypt the format-converted first image information, and transmit it to the intelligent management terminal to obtain image transmission information;

[0009] An identification and extraction module, which is used to perform parsing and identification on the image transmission information based on a preset deep learning algorithm to obtain transmission parsing information, and perform information extraction on the transmission parsing information based on customs clearance information requirements to obtain customs clearance feature information;

[0010] The verification feedback module is used to judge information anomalies of the customs clearance feature information, so as to identify and judge the risks of multi-source features of the target vehicle, obtain the risk identification result, and perform feedback processing.

[0011] Preferably, the information acquisition module includes:

[0012] The information acquisition unit is used to collect the vehicle image information of the target customs clearance vehicle and the driving image information of the corresponding driver in real time based on the preset image acquisition device, so as to obtain the original image information of the target customs clearance vehicle;

[0013] The initial judgment unit is used to judge whether the target vehicle belongs to the permitted customs clearance vehicle type based on the vehicle image information in the original image information;

[0014] The information processing unit is used to perform image denoising and image enhancement processing on the original image information when the target vehicle belongs to the permitted customs clearance vehicle type, so as to obtain the first image information of the target vehicle.

[0015] Preferably, the encoding and transmission module includes:

[0016] The image conversion unit is used to convert the format of the first image information according to the wireless transmission requirements of the customs clearance vehicle, so as to obtain the second image information that meets the wireless transmission requirements;

[0017] The encryption transmission unit is used to encrypt the second image information, and transmit the encrypted image information to the intelligent management terminal based on the preset wireless transmission technology, so as to obtain the image transmission information.

[0018] Preferably, the encryption transmission unit includes:

[0019] The abstract determination subunit is used to process the second image information based on the hash algorithm, generate the digital abstract of the second image information, and use the digital abstract as an attachment to the second image information;

[0020] The information encryption subunit is used to encrypt the second image information based on the preset encryption algorithm, and combine it with the attachment of the second image information as the transmission information;

[0021] The information transmission subunit is used to transmit the transmission information to the intelligent management terminal based on the preset wireless transmission technology, so as to obtain the image transmission information.

[0022] Preferably, the recognition and extraction module includes:

[0023] The decoding processing unit is used to analyze the image transmission information based on the preset deep learning algorithm, and thus restore the image information based on the analysis result to obtain the parsed image information;

[0024] An image classification unit for classifying the parsed image information according to the information type to obtain the first vehicle image information and the first driving image information;

[0025] An image extraction unit for extracting key image information by using image processing technology in combination with the customs transmission recognition accuracy to obtain the second vehicle image information and the second driving image information;

[0026] An identification and classification unit for determining the vehicle type of the target vehicle corresponding to the second vehicle image information based on a preset classification and recognition algorithm, thereby determining the customs vehicle information database corresponding to the current vehicle type;

[0027] A comparison and extraction unit for extracting the declaration image information related to the second vehicle image information from the preset customs vehicle information database to obtain the first declaration image information, and at the same time, extracting the declaration image information related to the second driving image information from the preset customs vehicle information database to obtain the second declaration image information;

[0028] A similarity comparison unit for performing similarity analysis on the second vehicle image information and the first declaration image information by using a set similarity algorithm, and at the same time, performing similarity analysis on the second driving image information and the second declaration image information;

[0029] A similarity judgment unit for judging the preliminary risk identification result of the target vehicle based on the similarity analysis result;

[0030] An extraction and integration unit for extracting the second vehicle image information and the second driving image information corresponding to the target vehicle with an unqualified preliminary risk identification result based on the vehicle customs clearance information requirements of the intelligent management terminal to obtain a set of customs clearance feature information.

[0031] Preferably, the similarity judgment unit includes:

[0032] A judgment and recognition subunit for judging the preliminary risk identification result of the target vehicle based on the similarity analysis result;

[0033] If the similarity of the vehicle information and the similarity of the driving information in the similarity analysis result are both higher than the minimum information similarity, the preliminary risk identification result of the target vehicle is qualified;

[0034] If the similarity of the vehicle information or the similarity of the driving information in the similarity analysis result is not higher than the minimum information similarity, obtain the vehicle image information and the driving image information of the target vehicle at each historical moment during the current recognition period, and perform image processing to obtain a set of historical vehicle image information and a set of historical driving image information;

[0035] Determine the image comprehensive evaluation value according to the image clarity of each historical vehicle image information in the historical vehicle image information set and the image similarity between each historical vehicle image information and the second vehicle image information, and extract the optimal historical vehicle image information in the historical vehicle image information set;

[0036] At the same time, the optimal historical driving image information in the historical driving image information set is extracted;

[0037] A similarity analysis subunit is used to perform similarity analysis on the best historical vehicle image information and the first customs declaration image information by using a set similarity algorithm to obtain a second vehicle information similarity, and to perform similarity analysis on the best historical driving image information and the second customs declaration image information to obtain a second driving information similarity;

[0038] If there is a second vehicle information similarity or the second driving information similarity is not higher than the minimum information similarity, the preliminary risk identification result of the target vehicle is judged to be unqualified.

[0039] Preferably, the identification and extraction module further includes:

[0040] A matching and comparing unit, used to determine the driving ability information of the driver corresponding to the target vehicle based on the second customs declaration image information, and at the same time, determine the basic vehicle information of the target vehicle based on the second vehicle image information of the target vehicle;

[0041] A matching judgment unit, used to judge whether the driving ability information of the driver corresponding to the target vehicle is not lower than the basic vehicle information of the target vehicle;

[0042] If the driving ability information is not lower than the basic vehicle information of the target vehicle, it is determined that the driver corresponding to the target vehicle has the ability to drive the target vehicle;

[0043] Otherwise, it is judged that the driver corresponding to the target vehicle does not have the ability to drive the target vehicle, and the initial risk identification result of the target vehicle is judged to be unqualified.

[0044] Preferably, the verification feedback module includes:

[0045] an extraction and verification unit, used to extract the second vehicle image information and the second driving image information with information anomalies in the customs clearance information set, and determine the image information type of the image information;

[0046] An abnormality feedback unit, used to determine the information abnormality type and abnormality impact degree of the corresponding image information in combination with the image information type, and obtain a first comprehensive abnormality result;

[0047] A risk identification unit, used to identify the risk of the target vehicle in combination with the vehicle movement trajectory and the vehicle stay time of the target vehicle, so as to determine a second comprehensive abnormal result;

[0048] A risk assessment unit, which is used to input the first comprehensive abnormal result, the second comprehensive abnormal result, the second vehicle image information, and the second driving image information into a multi-source feature recognition model, so as to comprehensively evaluate the vehicle risk level of the target vehicle and determine the customs clearance risk;

[0049] A feedback processing unit, which is used to determine a customs clearance risk handling plan for the target vehicle based on the comprehensive evaluation result and perform risk feedback processing.

[0050] Preferably, the risk identification unit includes:

[0051] A risk identification subunit, which is used to determine whether the vehicle movement trajectory and vehicle stay time of the target vehicle within the current identification period are within the standard vehicle stay time range and standard vehicle movement trajectory range corresponding to the vehicle type of the target vehicle, so as to obtain a first risk identification result;

[0052] If both the vehicle movement trajectory and vehicle stay time of the target vehicle within the current identification period are within the standard vehicle stay time range and standard vehicle movement trajectory range corresponding to the vehicle type of the target vehicle, it is determined that the first risk identification result of the target vehicle is qualified;

[0053] If either the vehicle movement trajectory or vehicle stay time of the target vehicle within the current identification period is not within the standard vehicle stay time range and standard vehicle movement trajectory range corresponding to the vehicle type of the target vehicle, it is determined that the first risk identification result of the target vehicle is unqualified;

[0054] A difference determination subunit, which is used for a target vehicle with an unqualified first risk identification result to obtain the trajectory difference between the vehicle movement trajectory of the target vehicle within the current identification period and the trajectory threshold corresponding to the standard vehicle movement trajectory range. At the same time, obtain the time difference between the vehicle stay time and the time threshold corresponding to the standard vehicle stay time range;

[0055] A comprehensive abnormal subunit, which is used to obtain the second comprehensive abnormal result of the target vehicle based on the trajectory difference and time difference of the target vehicle within the current identification period.

[0056] The beneficial effects of the present invention compared with the prior art are as follows: By encrypting and transmitting the encrypted vehicle image information and driver image information, and parsing and identifying the encrypted transmission result based on a preset deep learning algorithm, so as to perform customs clearance judgment and determine the risk identification result, it can make the customs clearance risk identification of the target vehicle more efficient and accurate, greatly shortening the vehicle customs clearance time. At the same time, it can also more accurately perform timely feedback processing on vehicles with abnormal information.

[0057] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in the specification of this application.

[0058] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0059] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

[0060] Figure 1 It is a structural diagram of a wireless transmission and identification system for vehicle information and driver information for customs clearance in an embodiment of the present invention;

[0061] Figure 2 It is a structural diagram of a similarity judgment unit in an embodiment of the present invention;

[0062] Figure 3 It is a structural diagram of a verification feedback module in an embodiment of the present invention. Detailed Embodiments

[0063] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0064] Embodiment 1:

[0065] The present invention provides a wireless transmission and identification system for vehicle information and driver information for customs clearance. Referring to Figure 1 , it includes:

[0066] An information acquisition module, configured to obtain image information of a target vehicle and a target driver based on a preset image acquisition device, obtain original image information, and perform image preprocessing on the original image information to obtain first image information;

[0067] An encoding and transmission module, configured to perform format conversion on the first image information based on wireless transmission requirements, encrypt the format-converted first image information, and transmit it to an intelligent management terminal to obtain image transmission information;

[0068] An identification and extraction module, configured to parse and identify the image transmission information based on a preset deep learning algorithm to obtain transmission parsing information, and extract information from the transmission parsing information based on customs clearance information requirements to obtain customs clearance feature information;

[0069] The verification feedback module is used to judge information anomalies of the customs clearance feature information, thereby identifying risks of multi-source features of the target vehicle, obtaining a risk identification result, and performing feedback processing.

[0070] In this embodiment, the preset image acquisition device refers to an image acquisition device with pre-set parameters and positions in each area within the customs clearance checkpoint and the checkpoint, such as a high-definition camera, a scanner, etc. The preset image acquisition device is used to capture the image information of the target customs clearance vehicle in real time, including the vehicle itself and the corresponding driver information.

[0071] In this embodiment, the original image information refers to the unprocessed image data directly obtained from the image acquisition device, including the real-time vehicle image information and the corresponding real-time driving image information.

[0072] In this embodiment, image preprocessing is an operation performed on the original image information to improve the image quality and extract useful information, including operations such as denoising and enhancement. Image denoising is an image processing technique used to reduce or eliminate noise in an image. Image enhancement processing is also an image processing technique that can improve the visual effect of an image or enhance certain features in the image. Among them, the enhancement processing may include adjusting parameters such as the brightness, contrast, and sharpness of the image.

[0073] In this embodiment, format conversion refers to the process of converting image information from one format to another. The purpose of format conversion is to make the first image information meet the requirements of wireless transmission. For example, format conversion can convert the image to a smaller resolution, a different color depth, or a compressed format to reduce the data volume and adapt to the bandwidth limitations of wireless transmission.

[0074] In this embodiment, transmission refers to the process of encrypting the image information using an encryption algorithm and then performing wireless transmission on the encrypted result. The encrypted image information is unreadable during the transmission process and can only be restored to the original image after being parsed by the receiving party with the corresponding decryption key after the transmission is completed.

[0075] In this embodiment, the image transmission information is the image information after format conversion and encrypted transmission.

[0076] In this embodiment, the preset deep learning algorithm is a pre-designed and pre-trained deep learning model used to parse and identify the image transmission information.

[0077] In this embodiment, the transmission parsing information is the information obtained by parsing and identifying the image transmission information through the deep learning algorithm.

[0078] In this embodiment, the vehicle customs clearance information requirement is the image information or data requirement needed by the customs during vehicle customs clearance inspection.

[0079] In this embodiment, the customs clearance feature information is the key information extracted from the transmitted parsing information according to the customs clearance information requirements, and is used for subsequent risk identification and judgment.

[0080] In this embodiment, the risk identification of multi-source features is to comprehensively evaluate the vehicle risk level of the target vehicle based on the multi-source feature recognition model to determine the customs clearance risk. For example, the information sources of multi-source feature risks include: vehicle image information, driving image information, vehicle movement trajectory, stay time, etc.

[0081] In this embodiment, the risk refers to the risks that the target vehicle may face during the customs clearance process, which may include document risks, goods risks, security risks, etc. The risk identification result will directly affect whether the vehicle can pass through customs.

[0082] In this embodiment, the feedback processing means that the customs clearance risk handling plan is fed back to the intelligent management terminal for implementation operations.

[0083] The beneficial effects of the above technologies are as follows: By encrypting and transmitting the encrypted vehicle image information and driver image information, and parsing and identifying the encrypted transmission result based on a preset deep learning algorithm, so as to make a customs clearance judgment and determine the risk identification result, it can make the customs clearance risk identification of the target vehicle more efficient and accurate, greatly shortening the vehicle customs clearance time. At the same time, it can also more accurately give timely feedback processing to the vehicles with abnormal information.

[0084] Embodiment 2:

[0085] Based on Embodiment 1, a wireless transmission and identification system for vehicle information and driver information for customs clearance, the information collection module includes:

[0086] An information collection unit, configured to collect the vehicle image information of the target customs clearance vehicle and the driving image information of the corresponding driver in real time based on a preset image collection device, so as to obtain the original image information of the target customs clearance vehicle;

[0087] An initial judgment unit, configured to judge whether the target vehicle belongs to the type of vehicle allowed to pass through customs based on the vehicle image information in the original image information;

[0088] An information processing unit, configured to perform image denoising and image enhancement processing on the original image information when the target vehicle belongs to the type of vehicle allowed to pass through customs, so as to obtain the first image information of the target vehicle.

[0089] In this embodiment, the preset image collection device refers to an image collection device with preset parameters and positions in each area within the customs clearance checkpoint and the checkpoint, such as a high-definition camera. The preset image collection device is used to capture the image information of the target customs clearance vehicle in real time, including the vehicle itself and the corresponding driver information.

[0090] In this embodiment, the target vehicle for customs clearance refers to the vehicle that needs to undergo customs clearance inspection.

[0091] In this embodiment, the vehicle image information refers to the image data captured by the image acquisition device and representing the appearance of the target vehicle for customs clearance. For example, it includes the shape, color, license plate number, etc. of the vehicle.

[0092] In this embodiment, the driving image information refers to the image data captured by the image acquisition device and representing the driver corresponding to the target vehicle. The driving image information usually includes the facial features, clothing, etc. of the driver.

[0093] In this embodiment, the original image information refers to the unprocessed image data directly obtained from the image acquisition device. It includes the real-time vehicle image information and the corresponding real-time driving image information.

[0094] In this embodiment, the permitted vehicle types for customs clearance refer to the vehicle types that are permitted to undergo customs clearance according to relevant regulations or policies. The permitted vehicle types for customs clearance are determined based on factors such as the size, use, environmental protection standards, etc. of the vehicle.

[0095] In this embodiment, image denoising is an image processing technology used to reduce or eliminate noise in an image. Image enhancement processing is also an image processing technology that can improve the visual effect of an image or enhance certain features in the image. Among them, the enhancement processing may include adjusting parameters such as the brightness, contrast, sharpness, etc. of the image.

[0096] In this embodiment, the first image information refers to the image data obtained after image denoising and enhancement processing.

[0097] The beneficial effects of the above technologies are as follows: By judging whether the target vehicle corresponding to the collected original image belongs to the permitted vehicle types for customs clearance, and then performing image processing, transmission, and recognition on the vehicles of the permitted vehicle types for customs clearance, it is possible to reduce the amount of data for image processing, transmission, and recognition, and improve the efficiency of image processing, transmission, and recognition.

[0098] Embodiment 3:

[0099] Based on Embodiment 2, a wireless transmission and recognition system for vehicle information and driver information for customs clearance, the encoding and transmission module includes:

[0100] An image conversion unit for converting the format of the first image information according to the wireless transmission requirements of the customs clearance vehicle to obtain the second image information that meets the wireless transmission requirements;

[0101] An encryption and transmission unit for encrypting the second image information and transmitting the encrypted image information to the intelligent management terminal based on the preset wireless transmission technology to obtain the image transmission information.

[0102] In this embodiment, the wireless transmission requirements of the customs clearance vehicle refer to the specific requirements for wireless communication technology when the customs clearance vehicle transmits image information. These requirements may include indicators such as transmission speed, data integrity, security, power consumption, etc. To meet these requirements, appropriate processing of the image information is required.

[0103] In this embodiment, the first image information refers to the image data obtained after image denoising and enhancement processing.

[0104] In this embodiment, format conversion refers to the process of converting image information from one format to another. The purpose of format conversion is to make the first image information meet the requirements of wireless transmission. For example, format conversion can convert the image to a smaller resolution, different color depth, or compression format to reduce the data volume and adapt to the bandwidth limitations of wireless transmission.

[0105] In this embodiment, the second image information is the image information obtained after format conversion.

[0106] In this embodiment, encryption processing refers to the process of encrypting image information using an encryption algorithm. The purpose of encryption is to protect the confidentiality of image information and prevent it from being stolen or tampered with by unauthorized personnel during transmission. The encrypted image information is unreadable during transmission and can only be restored to the original image after being parsed by the receiving party with the corresponding decryption key after the transmission is completed.

[0107] In this embodiment, the image transmission information refers to the image information transmitted to the intelligent management terminal after encryption processing. It contains the encrypted image data and additional information (such as digital digest, timestamp, etc.) required for decryption, which is used to ensure the integrity and security of the data.

[0108] In this embodiment, the preset wireless transmission technology refers to the configured wireless communication technology, including Wi-Fi, Bluetooth, 4G / 5G mobile communication networks, etc. The preset wireless transmission technology provides a data transmission channel and protocol, enabling the image transmission information to be reliably transmitted from the image acquisition device of the sending party to the intelligent management terminal.

[0109] In this embodiment, the intelligent management terminal refers to the device terminal that receives and processes the image transmission information. The intelligent management terminal can be a computer, server, mobile device, or a specially designed monitoring system. The intelligent management terminal decrypts, parses, and further processes the received image information to support the customs clearance decision-making and identification management tasks of the target vehicle.

[0110] The beneficial effects of the above technologies are as follows: By performing format conversion and encrypted transmission on the image information of the target vehicle, the transmission efficiency of the target vehicle for wireless transmission can be improved, and at the same time, the transmission process can be made more secure.

[0111] Example 4:

[0112] Based on Example 3, a wireless transmission and identification system for vehicle information and driver information for passing through customs, and an encryption transmission unit, including:

[0113] A summary determination subunit, configured to process the second image information based on a hash algorithm to generate a digital summary of the second image information, and use the digital summary as an attachment to the second image information;

[0114] An information encryption subunit, configured to encrypt the second image information based on a preset encryption algorithm, and combine it with the attachment of the second image information as transmission information;

[0115] An information transmission subunit, configured to transmit the transmission information to an intelligent management terminal based on a preset wireless transmission technology to obtain image transmission information.

[0116] In this embodiment, the hash algorithm is used to generate a digital summary of the second image information to verify the integrity and authenticity of the data.

[0117] In this embodiment, the digital summary is a fixed-length value obtained by processing the second image information through a hash algorithm. It represents the unique feature of the second image information and can be used to verify the integrity and authenticity of the data. If the second image information is tampered with, its digital summary will also change, thereby detecting data anomalies.

[0118] In this embodiment, the attachment refers to using the digital summary as additional information for the second image information. In this way, when the second image information is transmitted or stored, its digital summary will also be processed together to ensure the integrity and verifiability of the image information.

[0119] In this embodiment, the preset encryption algorithm refers to an already configured encryption algorithm used to encrypt data. The encryption algorithm can protect the confidentiality of data. Based on the preset encryption algorithm for encrypting the second image information, it can ensure the security of the data during the transmission of the image information.

[0120] In this embodiment, the image transmission information refers to the second image information that has been encrypted and includes the digital summary as an attachment. It includes the encrypted second image information and the digital summary corresponding to the second image information. During the transmission process, the image transmission information is sent to the intelligent management terminal through a wireless network.

[0121] In this embodiment, the preset wireless transmission technology refers to the wireless communication technology that has been configured, including Wi-Fi, Bluetooth, 4G / 5G mobile communication networks, etc. The preset wireless transmission technology provides a data transmission channel and protocol, enabling the image transmission information to be reliably transmitted from the image acquisition device of the sender to the intelligent management terminal.

[0122] In this embodiment, the intelligent management terminal refers to the device terminal that receives and processes the image transmission information. The intelligent management terminal can be a computer, server, mobile device, or a specially designed monitoring system. The intelligent management terminal decrypts, analyzes, and further processes the received image information to support the customs clearance decision-making and identification management tasks of the target vehicle.

[0123] The beneficial effects of the above technologies are as follows: By extracting the digital digest of the image information of the target vehicle and combining it with the image information for encrypted transmission, the wireless transmission process of the target vehicle can be made more secure and accurate.

[0124] Embodiment 5:

[0125] Based on Embodiment 3, a wireless transmission and identification system for vehicle information and driver information during customs clearance, the identification and extraction module includes:

[0126] A decoding and processing unit, configured to analyze the image transmission information based on a preset deep learning algorithm, and thus restore the image information based on the analysis result to obtain the parsed image information;

[0127] An image classification unit, configured to classify the parsed image information according to the information type to obtain the first vehicle image information and the first driver image information;

[0128] An image extraction unit, configured to extract key image information by using image processing technology in combination with the customs transmission recognition accuracy to obtain the second vehicle image information and the second driver image information;

[0129] An identification and classification unit, configured to determine the vehicle type of the target vehicle corresponding to the second vehicle image information based on a preset classification and recognition algorithm, and thus determine the customs vehicle information database corresponding to the current vehicle type;

[0130] A comparison and extraction unit, configured to extract the declaration image information related to the second vehicle image information in the preset customs vehicle information database to obtain the first declaration image information, and at the same time, extract the declaration image information related to the second driver image information in the preset customs vehicle information database to obtain the second declaration image information;

[0131] A similarity comparison unit, configured to perform similarity analysis on the second vehicle image information and the first declaration image information by using a set similarity algorithm, and at the same time, perform similarity analysis on the second driver image information and the second declaration image information;

[0132] A similarity judgment unit, configured to judge the preliminary risk identification result of the target vehicle based on the similarity analysis result;

[0133] An extraction and integration unit, configured to extract the second vehicle image information and the second driving image information corresponding to the target vehicle with an unqualified preliminary risk identification result based on the vehicle customs clearance information requirements of the intelligent management terminal, so as to obtain a customs clearance feature information set.

[0134] In this embodiment, the preset deep learning algorithm is a pre-designed and trained deep learning model, which is used to analyze and identify image transmission information.

[0135] In this embodiment, the image transmission information refers to the second image information that has been encrypted and includes a digital digest as an attachment. It includes the encrypted second image information and the digital digest corresponding to the second image information. During the transmission process, the image transmission information is sent to the intelligent management terminal through a wireless network.

[0136] In this embodiment, the parsed image information is the image information obtained by decrypting and parsing the image transmission information through the preset deep learning algorithm.

[0137] In this embodiment, the first vehicle image information and the first driving image information are the image information belonging to the vehicle and the driver respectively in the parsed image information.

[0138] In this embodiment, the image processing technology is a technology for performing various processes on images, such as cropping, scaling, recognition, feature extraction, etc.

[0139] In this embodiment, the customs transmission recognition accuracy is the accuracy or precision standard that the customs system can achieve when performing image recognition or information extraction. Among them, the transmission recognition accuracy of customs documents in the customs transmission recognition accuracy is generally 100%, the transmission recognition accuracy of vehicle image information is generally 99%, and the transmission recognition accuracy of driving image information can be 99.9%.

[0140] In this embodiment, the key image information is the information that plays a key role in the customs clearance inspection of the image information, such as the license plate number, driver's facial features, etc.

[0141] In this embodiment, the preset classification and recognition algorithm is a preset algorithm for classifying and recognizing image information, and the preset classification and recognition algorithm can classify and recognize vehicle types.

[0142] In this embodiment, the second vehicle image information and the second driving image information are the key image information extracted from the first vehicle image information and the first driving image information.

[0143] In this embodiment, the preset customs vehicle information database is a database that stores vehicle images and information consistent with the vehicle type of the target vehicle related to customs inspections. Among them, the vehicle image information and driving image information of the target vehicle are uploaded in advance by the driver or the vehicle during customs declaration. The vehicle types include sedan trucks, buses, etc.

[0144] In this embodiment, the customs declaration image information is the image information submitted during customs declaration, including photos or images of the vehicle, driver, etc., and the driver identity information image, etc.

[0145] In this embodiment, the first customs declaration image information and the second customs declaration image information are the customs declaration image information extracted from the preset customs vehicle information database related to the second vehicle image information and the second driving image information.

[0146] In this embodiment, the set similarity algorithm is an algorithm used to compare the similarity degree of two image information, usually based on the features of the images for matching and calculation.

[0147] In this embodiment, the information similarity is an index to measure the similarity degree between two pieces of information, usually determined by comparing the features or attributes of two image information.

[0148] In this embodiment, the vehicle information similarity and the driving information similarity respectively measure the similarity between the second vehicle image information and the first customs declaration image information, and between the second driving image information and the second customs declaration image information.

[0149] In this embodiment, the minimum information similarity is a preset threshold used to determine whether the similarity between two pieces of information is high enough to meet the requirements of customs inspections.

[0150] In this embodiment, the preliminary risk identification result is the result of the risk assessment of the target vehicle determined based on the comparison results of the vehicle information similarity and the driving information similarity with the minimum information similarity.

[0151] In this embodiment, the vehicle customs clearance information requirement is the image information or data requirement needed by the customs during vehicle customs clearance inspections.

[0152] In this embodiment, the customs clearance feature information set is extracted from the image information of the target vehicle with unqualified preliminary risk identification results, and is an information set of the feature information related to customs clearance.

[0153] The beneficial effects of the above technology are as follows: By parsing the transmitted information and classifying and comparing the parsed image information, the preliminary risk identification result of the target vehicle is determined, and the vehicle image information with unqualified preliminary risk identification results is extracted for analysis feedback and risk handling, which can make the customs clearance risk identification of the target vehicle more efficient and greatly shorten the vehicle customs clearance time.

[0154] Embodiment 6:

[0155] Based on Example 5, a vehicle information and driver information wireless transmission and identification system, a similarity judgment unit, and a reference Figure 2 ,include:

[0156] A judgment and identification subunit, used to judge the preliminary risk identification result of the target vehicle based on the similarity analysis result;

[0157] If the similarity of vehicle information and driving information in the similarity analysis results are both higher than the minimum information similarity, the preliminary risk identification result of the target vehicle is qualified;

[0158] If the similarity of the vehicle information or the similarity of the driving information in the similarity analysis result is not higher than the minimum information similarity, the vehicle image information and driving image information of the target vehicle at each historical moment in the current recognition cycle are obtained, and image processing is performed to obtain a historical vehicle image information set and a historical driving image information set;

[0159] Determine the image comprehensive evaluation value according to the image clarity of each historical vehicle image information in the historical vehicle image information set and the image similarity between each historical vehicle image information and the second vehicle image information, and extract the optimal historical vehicle image information in the historical vehicle image information set;

[0160] At the same time, the optimal historical driving image information in the historical driving image information set is extracted;

[0161] A similarity analysis subunit is used to perform similarity analysis on the best historical vehicle image information and the first customs declaration image information by using a set similarity algorithm to obtain a second vehicle information similarity, and to perform similarity analysis on the best historical driving image information and the second customs declaration image information to obtain a second driving information similarity;

[0162] If there is a second vehicle information similarity or the second driving information similarity is not higher than the minimum information similarity, the preliminary risk identification result of the target vehicle is judged to be unqualified.

[0163] In this embodiment, the current identification period refers to the time period for performing vehicle risk identification on the target vehicle. During the current identification period, the preset image acquisition device will collect and analyze information such as the moving trajectory and residence time of the target vehicle.

[0164] In this embodiment, the historical vehicle image information set and the historical driving image information set are sets of vehicle image information and driving image information collected at each historical moment in the current recognition cycle.

[0165] In this embodiment, image similarity is an indicator for measuring the similarity degree between two images, and it is usually determined by comparing their pixel values, feature points, etc.

[0166] In this embodiment, image clarity is an indicator for measuring image quality, and image clarity is related to the resolution, contrast, sharpness, etc. of the image.

[0167] In this embodiment, the calculation formula for extracting and determining the optimal historical vehicle image information based on the image comprehensive evaluation value of the current historical vehicle image information in the set of historical vehicle image information of the target vehicle is:

[0168]

[0169] where F is the image comprehensive evaluation value of the current historical vehicle image information in the set of historical vehicle image information of the target vehicle, β is the similarity influence weight, is the image similarity score between the second vehicle image information of the target vehicle and the current historical vehicle image information, and its value range is (0, 1). α is the clarity influence weight, and its value range is (0, 1). Among them, the sum of the similarity influence weight and the clarity influence weight is 1. C(f) is the clarity score of the current historical vehicle image information. γ1 is the brightness weight for comparing the brightness between the current historical vehicle image information and the second vehicle image information. γ2 is the contrast weight for comparing the contrast between the current historical vehicle image information and the second vehicle image information. γ3 is the structure weight for comparing the structure between the current historical vehicle image information and the second vehicle image information. Among them, the sum of the brightness weight, the contrast weight, and the structure weight is 1. u1 is the average value of the image pixels of the second vehicle image information, u2 is the average value of the image pixels of the current historical vehicle image information, d1 is the variance of the image pixels of the second vehicle image information, d2 is the variance of the image pixels of the current historical vehicle image information, d 1,2 is the covariance of the image pixels between the second vehicle image information and the current historical vehicle image information. p1, p2, and p3 are adjustment constants. The function of the adjustment constants is to avoid the denominator being 0, and their value range is generally (0, 0.01). a is the number of rows of the image pixel points of the current historical vehicle image information, and b is the number of columns of the image pixel points of the current historical vehicle image information. is the gradient of the image f at the pixel point (x, y) in the x direction and the y direction.

[0170] When the value of F is the largest, the corresponding historical vehicle image information is the optimal historical vehicle image information.

[0171] In this embodiment, the optimal historical vehicle image information and the optimal historical driving image information are the image information with the highest comprehensive image similarity and image clarity in the historical vehicle image information set and the historical driving image information set compared with the current image information.

[0172] In this embodiment, the second vehicle information similarity and the second driving information similarity are the similarities that respectively measure the image similarity between the optimal historical vehicle image information and the first customs declaration image information, and between the optimal historical driving image information and the second customs declaration image information.

[0173] The beneficial effects of the above technology are as follows: By judging the preliminary risk identification results, extracting and analyzing the vehicle image information with unqualified preliminary risk identification results and performing risk handling, the customs clearance risk identification of the target vehicle can be made more efficient, and the vehicle customs clearance time can be greatly shortened.

[0174] Embodiment 7:

[0175] Based on Embodiment 5, a wireless transmission and identification system for vehicle information and driver information in customs clearance, the identification and extraction module further includes:

[0176] A matching and comparison unit, configured to determine the driving ability information of the driver corresponding to the target vehicle based on the second customs declaration image information, and at the same time, determine the basic vehicle information of the target vehicle based on the second vehicle image information of the target vehicle;

[0177] A matching judgment unit, configured to judge whether the driving ability information of the driver corresponding to the target vehicle is not lower than the basic vehicle information of the target vehicle;

[0178] If the driving ability information is not lower than the basic vehicle information of the target vehicle, it is judged that the driver corresponding to the target vehicle has the ability to drive the target vehicle;

[0179] Otherwise, it is judged that the driver corresponding to the target vehicle does not have the ability to drive the target vehicle, and it is judged that the initial risk identification result of the target vehicle is unqualified.

[0180] In this embodiment, the second customs declaration image information refers to the image information of the driver corresponding to the target vehicle uploaded before the target vehicle undergoes vehicle customs clearance during the customs declaration process. For example, the second customs declaration image information includes the facial features of the driver, etc.

[0181] In this embodiment, the driving ability information may include the driver's experience level, whether they hold a valid driver's license, whether they have a bad driving record, etc.

[0182] In this embodiment, the basic vehicle information of the target vehicle refers to the basic attributes and conditions of the vehicle determined according to the second vehicle image information and the first customs declaration image information. The basic vehicle information may include the type, weight, size, etc. of the vehicle.

[0183] In this embodiment, the driving ability information not being lower than the vehicle basic information is an evaluation criterion, which means that the driver's driving ability (such as skills, experience, qualifications, etc.) should at least match the basic requirements of the target vehicle. This usually involves a comprehensive analysis and comparison of the driver and vehicle information to ensure that the driver can drive the target vehicle safely and effectively. For example, if the target vehicle requires an A driver's license for driving, and the corresponding driver does not have an A driver's license, then the corresponding driving ability information will not meet the basic standard for driving the target vehicle.

[0184] In this embodiment, the initial risk identification result of the target vehicle being unqualified means that after the driving ability assessment and vehicle basic information confirmation, if the driver's driving ability is considered insufficient to drive the target vehicle, the target vehicle is regarded as having risks. For example, an unqualified initial risk identification result may lead to the rejection of vehicle customs clearance, or the need for further inspections, reviews, or other safety measures, etc.

[0185] The beneficial effects of the above technology are as follows: By combining the vehicle image information of the target vehicle and the driving ability of the driver driving the target vehicle for judgment, the preliminary risk identification result of the target vehicle is determined, and then the vehicle image information with unqualified preliminary risk identification result is extracted for analysis feedback and risk processing, which can make the customs clearance risk identification of the target vehicle more efficient.

[0186] Embodiment 8:

[0187] Based on Embodiment 6, a wireless transmission and identification system for vehicle information and driver information for customs clearance, a verification feedback module, refer to Figure 3 , including:

[0188] An extraction and verification unit, configured to extract the second vehicle image information and the second driving image information with abnormal information in the customs clearance information set, and judge the image information type of the image information;

[0189] An abnormal feedback unit, configured to determine the information abnormal type and abnormal influence degree of the corresponding image information in combination with the image information type, and obtain a first comprehensive abnormal result;

[0190] A risk identification unit, configured to identify risks for the target vehicle in combination with the vehicle movement trajectory and vehicle stay time of the target vehicle, so as to determine a second comprehensive abnormal result;

[0191] A risk assessment unit, configured to comprehensively evaluate the vehicle risk degree of the target vehicle based on the first comprehensive abnormal result and the second comprehensive abnormal result by inputting the second vehicle image information and the second driving image information into a multi-source feature recognition model, and determine the customs clearance risk;

[0192] The feedback processing unit is used to determine the clearance risk processing plan of the target vehicle based on the comprehensive evaluation results and perform risk feedback processing.

[0193] In this embodiment, the clearance information set refers to a data set of all information related to vehicle clearance extracted from the second vehicle image information and the second driving image information when the initial risk identification result of the target vehicle fails, which may include vehicle appearance information, driver facial information, driver identity information, etc.

[0194] In this embodiment, the image information type refers to the type or classification of the image information. For example, the image information type includes the appearance image of the vehicle, the license plate image, the facial feature image of the driver, and the like.

[0195] In this embodiment, the information anomaly type refers to a specific problem in the image information, such as blurred license plate, blurred driver, license plate obstruction, etc. The degree of anomaly impact refers to the impact of the information anomaly on the risk assessment, which can be divided into different risk levels such as slight, medium, and severe.

[0196] In this embodiment, the vehicle movement trajectory and the vehicle residence time of the target vehicle refer to the driving path of the target vehicle before passing through the checkpoint and the residence time at each location.

[0197] In this embodiment, risk identification refers to analyzing and judging the potential risks of the target vehicle passing through customs based on information such as the vehicle's movement trajectory and dwell time.

[0198] In this embodiment, the first comprehensive abnormal result refers to the result obtained after comprehensive analysis and evaluation of the abnormal image information in combination with the image information type and the information abnormality type and impact degree. It reflects the overall situation and severity of the image information abnormality.

[0199] In this embodiment, the second comprehensive abnormal result refers to the result obtained after risk identification based on the vehicle movement trajectory and residence time of the target vehicle.

[0200] In this embodiment, the multi-source feature recognition model is a machine learning model that integrates multiple information sources and is used to comprehensively evaluate the vehicle risk level of the target vehicle to determine the clearance risk. For example, the information sources include: vehicle image information, driving image information, vehicle movement trajectory, dwell time, etc.

[0201] In this embodiment, customs clearance risk refers to the risk that the target vehicle may face during customs clearance, which may include document risk, cargo risk, safety risk, etc. The assessment result of customs clearance risk will directly affect whether the vehicle can pass customs.

[0202] In this embodiment, the customs clearance risk treatment plan refers to specific measures or plans formulated based on the comprehensive assessment results to reduce or eliminate customs clearance risks. It may include further manual review, enhanced monitoring, refusal of customs clearance, etc.

[0203] In this embodiment, risk feedback processing refers to feeding back the customs clearance risk processing plan to the intelligent management terminal for implementation.

[0204] The beneficial effects of the above technology are: by judging the abnormalities of the image information in the clearance information set, and then combining the vehicle image information and driving images for comprehensive risk assessment, determining the feedback plan, and performing risk feedback processing, it is possible to provide more accurate and timely feedback processing for vehicles with information abnormalities.

[0205] Embodiment 9:

[0206] Based on Example 8, a vehicle information and driver information wireless transmission and identification system for customs clearance, a risk identification unit, includes:

[0207] The risk identification subunit is used to determine whether the vehicle movement trajectory and vehicle residence time of the target vehicle in the current identification cycle belong to the standard vehicle residence time range and standard vehicle movement trajectory range of the vehicle type corresponding to the target vehicle, thereby obtaining a first risk identification result;

[0208] If the vehicle movement trajectory and vehicle residence time of the target vehicle in the current identification cycle are both within the standard vehicle residence time range and standard vehicle movement trajectory range of the target vehicle corresponding to the vehicle type, the first risk identification result of the target vehicle is judged to be qualified;

[0209] If the vehicle movement trajectory or vehicle residence time of the target vehicle in the current identification cycle does not fall within the standard vehicle residence time range and standard vehicle movement trajectory range of the target vehicle corresponding to the vehicle type, the first risk identification result of the target vehicle is judged to be unqualified;

[0210] The difference determination subunit is used to obtain, for a target vehicle whose first risk identification result is unqualified, a trajectory difference between a vehicle movement trajectory of the target vehicle in a current identification cycle and a trajectory threshold value corresponding to a standard vehicle movement trajectory range, and at the same time, obtain a time difference between a vehicle stay time and a time threshold value corresponding to a standard vehicle stay time range;

[0211] The comprehensive anomaly subunit is used to obtain a second comprehensive anomaly result of the target vehicle based on the trajectory difference and time difference of the target vehicle in the current identification cycle.

[0212] In this embodiment, the current recognition cycle refers to the time cycle for vehicle risk recognition of the target vehicle. During the current recognition cycle, the preset image acquisition device collects and analyzes information such as the moving trajectory and staying time of the target vehicle.

[0213] In this embodiment, the vehicle moving trajectory refers to the path traveled by the target vehicle during the current recognition cycle. It is usually obtained through GPS or other positioning technologies and is represented as a series of coordinate points or path segments.

[0214] In this embodiment, the vehicle staying time refers to the length of time the target vehicle stays at a certain location or area. It reflects the driving rhythm and possible activity patterns of the target vehicle.

[0215] In this embodiment, the standard vehicle staying time range and the standard vehicle moving trajectory range corresponding to the vehicle type of the target vehicle are standards or specifications formulated in advance according to the vehicle type of the target vehicle. The standard vehicle staying time range is the reasonable staying time of vehicles of this type at different locations within the customs clearance port; the standard vehicle moving trajectory range is the path or moving area that vehicles of this type may pass through during normal driving within the customs clearance port.

[0216] In this embodiment, the first risk recognition result is the risk recognition result obtained by comparing the vehicle moving trajectory and staying time of the target vehicle with the time threshold corresponding to the standard vehicle staying time range and the trajectory threshold corresponding to the standard vehicle moving trajectory range.

[0217] In this embodiment, the trajectory threshold refers to a critical value or threshold used to determine whether the moving trajectory of the target vehicle deviates from the standard vehicle moving trajectory range. If the difference between the moving trajectory of the target vehicle and the standard trajectory exceeds the trajectory threshold, the corresponding first risk recognition result is unqualified.

[0218] In this embodiment, the time threshold refers to a critical value or threshold used to determine whether the staying time of the target vehicle exceeds the standard vehicle staying time range. If the staying time of the target vehicle exceeds the time threshold, the corresponding first risk recognition result is unqualified.

[0219] In this embodiment, the trajectory difference refers to the difference between the moving trajectory of the target vehicle during the current recognition cycle and the trajectory threshold of the standard vehicle moving trajectory range, which is obtained by calculating the coordinate point distance or path segment length difference between the moving trajectory during the current recognition cycle and the trajectory threshold of the standard vehicle moving trajectory range.

[0220] In this embodiment, the time difference refers to the difference between the staying time of the target vehicle during the current recognition cycle and the time threshold of the standard vehicle staying time range. It represents the degree to which the staying time of the target vehicle exceeds the time threshold of the standard vehicle staying time range.

[0221] In this embodiment, the second comprehensive abnormal result is an abnormal result of the target vehicle obtained by comprehensive evaluation based on the trajectory difference and time difference of the target vehicle, combined with information such as vehicle type and historical records. It reflects the degree of deviation and potential risk of the target vehicle from the standard behavior in the current recognition cycle.

[0222] The beneficial effects of the above technology are: by combining the vehicle movement trajectory and vehicle dwell time to conduct a comprehensive risk assessment of the vehicle risk situation, determine the customs clearance risk assessment plan, and perform risk feedback processing, it is possible to provide more accurate and timely feedback processing for vehicles with abnormal information.

[0223] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A wireless transmission and identification system for vehicle information and driver information for customs clearance, characterized in that Including: An information acquisition module, which is used to obtain the image information of the target vehicle and the target driver based on a preset image acquisition device, obtain the original image information, and perform image preprocessing on the original image information to obtain the first image information; An encoding and transmission module, which is used to convert the format of the first image information based on wireless transmission requirements, encrypt the first image information after format conversion, and transmit it to the intelligent management terminal to obtain image transmission information; An identification and extraction module, which is used to parse and identify the image transmission information based on a preset deep learning algorithm to obtain transmission parsing information, and extract information from the transmission parsing information based on customs clearance information requirements to obtain customs clearance feature information; A verification and feedback module, which is used to judge information anomalies of the customs clearance feature information, thereby perform risk identification and judgment on multi-source features of the target vehicle to obtain a risk identification result and perform feedback processing.

2. The wireless transmission and identification system for vehicle information and driver information for customs clearance according to claim 1, characterized in that The information acquisition module includes: An information acquisition unit, which is used to collect the vehicle image information of the target customs clearance vehicle and the driving image information of the corresponding driver in real time based on a preset image acquisition device, thereby obtaining the original image information of the target customs clearance vehicle; An initial judgment unit, which is used to judge whether the target vehicle belongs to the type of vehicle allowed to pass through based on the vehicle image information in the original image information; An information processing unit, which is used to perform image denoising and image enhancement processing on the original image information when the target vehicle belongs to the type of vehicle allowed to pass through, to obtain the first image information of the target vehicle.

3. The wireless transmission and identification system for vehicle information and driver information for customs clearance according to claim 2, characterized in that The encoding and transmission module includes: An image conversion unit, which is used to convert the format of the first image information according to the wireless transmission requirements of the customs clearance vehicle to obtain the second image information that meets the wireless transmission requirements; An encryption and transmission unit, which is used to encrypt the second image information, and transmit the encrypted image information to the intelligent management terminal based on a preset wireless transmission technology to obtain image transmission information.

4. The wireless transmission and identification system for vehicle information and driver information for customs clearance according to claim 3, characterized in that, The encryption and transmission unit includes: A digest determination subunit, which is used to process the second image information based on the hash algorithm, generate a digital digest of the second image information, and use the digital digest as an attachment of the second image information; An information encryption subunit, which is used to encrypt the second image information based on a preset encryption algorithm, and combine it with the attachment of the second image information as the transmission information; An information transmission subunit, which is used to transmit the transmission information to the intelligent management terminal based on a preset wireless transmission technology to obtain image transmission information.

5. The vehicle information and driver information wireless transmission and identification system for customs clearance according to claim 3, characterized in that, The identification and extraction module includes: A decoding processing unit, which is used to parse the image transmission information based on a preset deep learning algorithm, and thereby perform image information restoration based on the parsing result to obtain parsed image information; An image classification unit, which is used to classify the parsed image information according to the information type to obtain the first vehicle image information and the first driving image information; An image extraction unit, which is used to extract key image information by using image processing technology in combination with the customs transmission recognition accuracy to obtain the second vehicle image information and the second driving image information; An identification and classification unit, which is used to judge the vehicle type of the target vehicle corresponding to the second vehicle image information based on a preset classification and recognition algorithm, thereby determining the customs vehicle information database corresponding to the current vehicle type; A comparison and extraction unit for extracting customs declaration image information related to the second vehicle image information from a preset customs vehicle information database to obtain first customs declaration image information, and at the same time, extracting customs declaration image information related to the second driving image information from the preset customs vehicle information database to obtain second customs declaration image information; A similarity comparison unit for performing similarity analysis on the second vehicle image information and the first customs declaration image information by using a set similarity algorithm, and at the same time, performing similarity analysis on the second driving image information and the second customs declaration image information; A similarity judgment unit for judging the preliminary risk identification result of the target vehicle based on the similarity analysis result; An extraction and integration unit for extracting the second vehicle image information and the second driving image information corresponding to the target vehicle with an unqualified preliminary risk identification result based on the vehicle customs clearance information requirements of the intelligent management terminal to obtain a set of customs clearance feature information.

6. The wireless transmission and identification system for vehicle information and driver information for customs clearance according to claim 5, characterized in that The similarity judgment unit includes: A judgment and identification subunit for judging the preliminary risk identification result of the target vehicle based on the similarity analysis result; If the similarity of vehicle information and the similarity of driving information in the similarity analysis result are both higher than the minimum information similarity, the preliminary risk identification result of the target vehicle is qualified; If the similarity of vehicle information or the similarity of driving information in the similarity analysis result is not higher than the minimum information similarity, obtain the vehicle image information and driving image information of the target vehicle at each historical moment within the current identification period, and perform image processing to obtain a set of historical vehicle image information and a set of historical driving image information; Determine an image comprehensive evaluation value according to the image clarity of each historical vehicle image information in the set of historical vehicle image information and the image similarity between each historical vehicle image information and the second vehicle image information, and extract the optimal historical vehicle image information from the set of historical vehicle image information; At the same time, extract the optimal historical driving image information from the set of historical driving image information; A similarity analysis subunit for performing similarity analysis on the optimal historical vehicle image information and the first customs declaration image information by using a set similarity algorithm to obtain a second vehicle information similarity, and performing similarity analysis on the optimal historical driving image information and the second customs declaration image information to obtain a second driving information similarity; If there is a second vehicle information similarity or a second driving information similarity that is not higher than the minimum information similarity, judge that the preliminary risk identification result of the target vehicle is unqualified.

7. The wireless transmission and identification system for vehicle information and driver information for customs clearance according to claim 5, characterized in that, The identification and extraction module further includes: A matching and comparison unit for determining the driving ability information of the driver corresponding to the target vehicle based on the second customs declaration image information, and at the same time, determining the basic vehicle information of the target vehicle based on the second vehicle image information of the target vehicle; A matching judgment unit for judging whether the driving ability information of the driver corresponding to the target vehicle is not lower than the basic vehicle information of the target vehicle; If the driving ability information is not lower than the basic vehicle information of the target vehicle, judge that the driver corresponding to the target vehicle has the ability to drive the target vehicle; Otherwise, judge that the driver corresponding to the target vehicle does not have the ability to drive the target vehicle, and judge that the initial risk identification result of the target vehicle is unqualified.

8. The wireless transmission and identification system for vehicle information and driver information for customs clearance according to claim 7, characterized in that, The verification and feedback module includes: An extraction and verification unit, configured to extract the second vehicle image information and the second driving image information with abnormal existence information from the customs clearance information set, and determine the image information type of the image information; An abnormal feedback unit, configured to determine the information abnormal type and abnormal influence degree of the corresponding image information in combination with the image information type, so as to obtain a first comprehensive abnormal result; A risk identification unit, configured to identify the risk of the target vehicle by combining the vehicle movement trajectory and vehicle stay time of the target vehicle, so as to determine a second comprehensive abnormal result; A risk assessment unit, configured to comprehensively evaluate the vehicle risk degree of the target vehicle based on the first comprehensive abnormal result and the second comprehensive abnormal result, and input the second vehicle image information and the second driving image information into a multi-source feature recognition model, so as to determine the customs clearance risk; A feedback processing unit, configured to determine a customs clearance risk processing plan for the target vehicle based on the comprehensive evaluation result, and perform risk feedback processing.

9. The vehicle information and driver information wireless transmission and identification system for customs clearance according to claim 8, characterized in that The risk identification unit includes: A risk identification subunit, configured to determine whether the vehicle movement trajectory and vehicle stay time of the target vehicle in the current identification period belong to the standard vehicle stay time range and the standard vehicle movement trajectory range corresponding to the vehicle type of the target vehicle, so as to obtain a first risk identification result; If the vehicle movement trajectory and vehicle stay time of the target vehicle in the current identification period both belong to the standard vehicle stay time range and the standard vehicle movement trajectory range corresponding to the vehicle type of the target vehicle, it is determined that the first risk identification result of the target vehicle is qualified; If the vehicle movement trajectory or vehicle stay time of the target vehicle in the current identification period does not belong to the standard vehicle stay time range and the standard vehicle movement trajectory range corresponding to the vehicle type of the target vehicle, it is determined that the first risk identification result of the target vehicle is unqualified; A difference determination subunit, configured to, for the target vehicle with an unqualified first risk identification result, obtain the trajectory difference between the vehicle movement trajectory of the target vehicle in the current identification period and the trajectory threshold corresponding to the standard vehicle movement trajectory range, and at the same time, obtain the time difference between the vehicle stay time and the time threshold corresponding to the standard vehicle stay time range; A comprehensive abnormal subunit, configured to obtain a second comprehensive abnormal result of the target vehicle based on the trajectory difference and time difference of the target vehicle in the current identification period.

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