License plate number association method and device, electronic equipment and storage medium

Abstract

The invention discloses a license plate number association method and device, electronic equipment and a storage medium, relates to the technical field of image processing, and is used for accurately determining whether two license plate numbers represent the same vehicle or not. The method comprises the steps of obtaining a first license plate number; searching a license plate number which differs from the first license plate number by N bits from a plurality of pre-stored license plate numbers, wherein N is a positive integer; if at least one second license plate number found from a plurality of pre-stored license plate numbers differs from the first license plate number by N bits, determining the comprehensive credibility corresponding to each second license plate number according to the credibility of the first license plate number and the credibility of each second license plate number; judging whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition or not to obtain a judgment result; and determining whether the first license plate number and the second license plate number represent the same vehicle or not according to a judgment result.

Description

Technical Field

[0001] The present application relates to the field of image processing technology, and in particular to a license plate number association method, device, electronic device and storage medium. Background Art

[0002] At present, one or more acquisition devices are usually set up on the road to collect images of vehicles in different directions. By recognizing the collected images, the vehicle license plate number, vehicle color, vehicle model and other vehicle capture information in the image can be obtained, and this vehicle information is input into the electronic device. The electronic device associates the vehicle capture information collected from the same vehicle in different directions, and can obtain the vehicle's driving road, vehicle images in different directions, accurate toll model and other information, which can be applied to determine the vehicle's driving road, train models to recognize different directions of vehicles, vehicle tolls and other scenarios.

[0003] However, due to the influence of weather, environment and other factors, the license plate numbers recognized by the acquisition equipment may not be accurate. Therefore, how to accurately determine that two license plate numbers represent the same vehicle is a problem that needs to be solved. Summary of the invention

[0004] The present application provides a license plate number association method, device, electronic device and storage medium, which are used to accurately fuse vehicle capture information of the same vehicle in different collection directions without relying on the collection time sequence of the vehicle capture information.

[0005] In order to achieve the above technical objectives, this application adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a license plate number association method, which is applied to an electronic device, and the method includes:

[0007] Get the first license plate number;

[0008] Searching for a license plate number that differs from the first license plate number by N digits from a plurality of pre-stored license plate numbers, where N is a positive integer;

[0009] If at least one second license plate number is found to differ from the first license plate number by N digits from the pre-stored plurality of license plate numbers, then the comprehensive credibility corresponding to each second license plate number is determined according to the credibility of the first license plate number and the credibility of each second license plate number;

[0010] Determine whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition, and obtain a determination result;

[0011] According to the judgment result, it is determined whether the first license plate number and the second license plate number represent the same vehicle.

[0012] The technical solution provided by the present application brings at least the following beneficial effects: when there is no license plate number that is exactly the same as the first license plate number, it may be that the first license plate number is recognized incorrectly, then the license plate number that differs from the first license plate number by N characters is searched from the pre-stored multiple license plate numbers, that is, the license plate number that may represent the same vehicle as the first license plate number is found, which can avoid the situation where the license plate number representing the same vehicle as the first license plate number cannot be found due to the recognition error of the first license plate number. In the subsequent application process, when the vehicle capture information is fused based on the license plate numbers representing the same vehicle, a more accurate fusion result can be obtained.

[0013] In one possible implementation, searching for a license plate number that differs from a first license plate number by N digits from a plurality of pre-stored license plate numbers includes: searching from a plurality of pre-stored license plate numbers whether there is a license plate number that differs from the first license plate number by i digits, i being a positive integer; in the case where there is a license plate number that differs from the first license plate number by i digits, i is N; in the case where there is no license plate number that differs from the first license plate number by i digits, searching whether there is a license plate number that differs from the first license plate number by i+1 digits, until i+1 reaches a preset value; wherein, during the first search, i is 1.

[0014] In one possible implementation, the comprehensive credibility corresponding to each second license plate number is determined based on the credibility of the first license plate number and the credibility of each second license plate number, including: for each second license plate number, the comprehensive credibility corresponding to the second license plate number is determined based on the credibility of the first license plate number and the credibility of the second license plate number, the same character positions in the first license plate number and the second license plate number, and the credibility coefficient corresponding to each character position in the license plate number.

[0015] In one possible implementation, the preset credibility condition includes: the comprehensive credibility is within a preset credibility range; based on the judgment result, determining whether the first license plate number and the second license plate number represent the same vehicle, including: if the judgment result indicates that there is a third license plate number in the second license plate number and the corresponding comprehensive credibility is within the preset credibility range, then determining that the third license plate number and the first license plate number represent the same vehicle.

[0016] In one possible implementation, determining whether the first license plate number and the second license plate number represent the same vehicle is performed based on the judgment result, and also includes: if the judgment result indicates that there are multiple fourth license plate numbers in the second license plate number and the comprehensive credibility corresponding to them is within a preset credibility range, then obtaining the vehicle capture information corresponding to each of the multiple fourth license plate numbers and the first vehicle capture information corresponding to the first license plate number; if the vehicle capture information corresponding to the fifth license plate number among the multiple fourth license plate numbers has the highest similarity to the first vehicle capture information, then determining that the first license plate number and the fifth license plate number represent the same vehicle.

[0017] In a possible implementation, the method also includes: if there is a sixth license plate number and the fifth license plate number representing the same vehicle, determining that the number of identical characters between the sixth license plate number and the fifth license plate number is a first value, and the number of identical characters between the fifth license plate number and the first license plate number is a second value; when the first value is greater than the second value, determining that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is greater than the possibility of the fifth license plate number and the first license plate number representing the same vehicle; when the first value is equal to the second value, determining that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is equal to the possibility of the fifth license plate number and the first license plate number representing the same vehicle; when the first value is less than the second value, determining that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is less than the possibility of the fifth license plate number and the first license plate number representing the same vehicle.

[0018] In a second aspect, the present application provides a license plate number association device, comprising:

[0019] An acquisition module, used for acquiring a first license plate number;

[0020] A processing module, used to search for a license plate number that differs from the first license plate number by N digits from a plurality of pre-stored license plate numbers, where N is a positive integer;

[0021] The processing module is also used to determine the comprehensive credibility corresponding to each second license plate number according to the credibility of the first license plate number and the credibility of each second license plate number if at least one second license plate number differs from the first license plate number by N digits from the pre-stored multiple license plate numbers;

[0022] The processing module is also used to determine whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition, and obtain a determination result;

[0023] The processing module is also used to determine, based on the judgment result, whether the first license plate number and the second license plate number represent the same vehicle.

[0024] In one possible implementation, the processing module is specifically used to: search from a plurality of pre-stored license plate numbers whether there is a license plate number that differs from the first license plate number by i digits, where i is a positive integer; if there is a license plate number that differs from the first license plate number by i digits, i is N; if there is no license plate number that differs from the first license plate number by i digits, search whether there is a license plate number that differs from the first license plate number by i+1 digits, until i+1 reaches a preset value; wherein, during the first search, i is 1.

[0025] In one possible implementation, the processing module is specifically used to: for each second license plate number, determine the comprehensive credibility corresponding to the second license plate number based on the credibility of the first license plate number and the credibility of the second license plate number, the same character positions in the first license plate number and the second license plate number, and the credibility coefficient corresponding to each character position in the license plate number.

[0026] In one possible implementation, the preset credibility condition includes: the comprehensive credibility is within a preset credibility range; the processing module is specifically used to: if the judgment result indicates that there is a third license plate number in the second license plate number and the comprehensive credibility corresponding to the third license plate number is within the preset credibility range, then determine that the third license plate number and the first license plate number represent the same vehicle.

[0027] In one possible implementation, the acquisition module is also used to obtain the vehicle capture information corresponding to each of the multiple fourth license plate numbers and the first vehicle capture information corresponding to the first license plate number if the judgment result indicates that the comprehensive credibility corresponding to multiple fourth license plate numbers in the second license plate number is within a preset credibility range; the processing module is also specifically used to determine that the first license plate number and the fifth license plate number represent the same vehicle if the vehicle capture information corresponding to the fifth license plate number among the multiple fourth license plate numbers has the highest similarity to the first vehicle capture information.

[0028] In one possible implementation, the processing module is also used to: if there is a sixth license plate number and the fifth license plate number representing the same vehicle, determine that the number of identical characters between the sixth license plate number and the fifth license plate number is a first value, and the number of identical characters between the fifth license plate number and the first license plate number is a second value; when the first value is greater than the second value, determine that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is greater than the possibility of the fifth license plate number and the first license plate number representing the same vehicle; when the first value is equal to the second value, determine that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is equal to the possibility of the fifth license plate number and the first license plate number representing the same vehicle; when the first value is less than the second value, determine that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is less than the possibility of the fifth license plate number and the first license plate number representing the same vehicle.

[0029] In a third aspect, the present application provides an electronic device comprising: one or more processors; one or more memories; wherein the one or more memories are used to store computer program codes, the computer program codes include computer instructions, and when the one or more processors execute the computer instructions, the electronic device executes any one of the license plate number association methods provided in the first aspect above.

[0030] In a fourth aspect, the present application provides a computer-readable storage medium, which stores computer execution instructions. When the computer execution instructions are run on a computer, the computer executes any one of the license plate number association methods provided in the first aspect above.

[0031] In a fifth aspect, the present application provides a computer program product, which includes computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the license plate number association method as described in the first aspect and any possible design thereof.

[0032] For the specific description of the second to fifth aspects and their various implementations in the present application, reference may be made to the detailed description in the first aspect and its various implementations; and for the beneficial effects of the second to fifth aspects and their various implementations, reference may be made to the beneficial effects analysis in the first aspect and its various implementations, which will not be repeated here.

[0033] These and other aspects of the present application will become more apparent from the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic diagram of the structure of a license plate number association system applicable to a license plate number association method provided in an embodiment of the present application;

[0035] Figure 2 A schematic diagram of the hardware composition of a computing device provided in an embodiment of the present application;

[0036] Figure 3 A flowchart of a license plate number association method provided in an embodiment of the present application;

[0037] Figure 4 A flow chart of a vehicle information fusion method provided in an embodiment of the present application;

[0038] Figure 5 A logical diagram of a vehicle information fusion method provided in an embodiment of the present application Figure 1 ;

[0039] Figure 6 A logical diagram of a vehicle information fusion method provided in an embodiment of the present application Figure 2 ;

[0040] Figure 7 A schematic diagram of the structure of a license plate number association device provided in an embodiment of the present application;

[0041] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way. The terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, "multiple" means two or more.

[0044] To facilitate understanding, the basic concepts of some terms or technologies involved in the embodiments of the present application are first briefly introduced and explained.

[0045] Vehicle information fusion is to associate images of the same vehicle taken from different acquisition directions and the vehicle information extracted from these images.

[0046] The above is an introduction to some concepts involved in the embodiments of the present application, which will not be repeated below.

[0047] At present, one or more acquisition devices are usually set up on the road to collect images of vehicles in different directions. By recognizing the collected images, the vehicle license plate number, vehicle color, vehicle model and other vehicle capture information in the image can be obtained, and this vehicle information is input into the electronic device. The electronic device associates the vehicle capture information collected from the same vehicle in different directions, and can obtain the vehicle's driving road, vehicle images in different directions, accurate toll model and other information, which can be applied to determine the vehicle's driving road, train models to recognize different directions of vehicles, vehicle tolls and other scenarios.

[0048] However, due to the influence of weather, environment and other factors, the license plate numbers recognized by the acquisition equipment may not be accurate. Therefore, how to accurately determine that two license plate numbers represent the same vehicle is a problem that needs to be solved.

[0049] In this regard, an embodiment of the present application provides a license plate number association method. When there is no license plate number that is exactly the same as the first license plate number, it may be that the first license plate number was recognized incorrectly. In this case, a license plate number that differs from the first license plate number by N characters is searched from multiple pre-stored license plate numbers, that is, the license plate number that may represent the same vehicle as the first license plate number is found. This can avoid the situation where the license plate number representing the same vehicle as the first license plate number cannot be found due to an error in recognizing the first license plate number. In subsequent applications, when vehicle capture information is fused based on the license plate numbers representing the same vehicle, a more accurate fusion result can be obtained.

[0050] Please refer to Figure 1 , which shows the license plate number association system to which the license plate number association method provided in this application is applicable. Figure 1 As shown, the license plate number association system 1 includes: multiple collection devices 10 and electronic devices 20.

[0051] Among them, a plurality of acquisition devices 10 and an electronic device 20 establish communication connections in a direct or indirect manner. It should be understood that the connection method can be a wireless connection, such as a Bluetooth connection, a wireless fidelity (Wi-Fi) connection, etc.; or the connection method can also be a wired connection, such as an optical fiber connection, etc., which is not limited.

[0052] In some embodiments, the acquisition device 10 and the electronic device 20 perform time correction via a network time protocol (NTP) to avoid time differences between the acquisition device 10 and the electronic device 20 .

[0053] In some embodiments, the acquisition device 10 is used to acquire snapshot information of vehicles traveling on the road, such as images of vehicles during driving, video files of vehicles passing through the acquisition range of the acquisition device 10, etc. Among them, the multiple acquisition devices set in the same location may include multiple acquisition devices with the same acquisition direction, for example, 3 acquisition devices for collecting images of vehicles in the front direction, 2 acquisition devices for collecting images of the left side of vehicles, 2 acquisition devices for collecting images of the right side of vehicles, and 2 acquisition devices for collecting images of vehicles facing backwards are set in location A.

[0054] In some embodiments, the acquisition device 10 has a built-in speed measuring device, and the vehicle captured information acquired by the acquisition device 10 includes the speed of the vehicle.

[0055] In some embodiments, the acquisition device 10 includes a capture device, and the capture device is used to obtain vehicle images. Then, the vehicle capture information acquired by the acquisition device 10 includes the vehicle image acquired by the capture device.

[0056] In some embodiments, the acquisition device 10 may include a processing device, and the processing device is used to identify the vehicle's license plate number, license plate color, lane number, vehicle type, number of axles, vehicle charging type, vehicle brand and other information from the vehicle image. Then, the vehicle captured information collected by the acquisition device 10 includes the vehicle's license plate number, license plate color, lane number, vehicle type, number of axles, vehicle charging type, vehicle brand and other information identified by the processing device from the vehicle image.

[0057] In some embodiments, the acquisition device 10 transmits the captured vehicle information to the electronic device 20. Alternatively, the acquisition device 10 transmits the captured vehicle image and vehicle speed to the electronic device 20, and the electronic device 20 recognizes the vehicle image to obtain information such as the vehicle license plate number, license plate color, lane number, vehicle type, number of axles, vehicle charging type, and vehicle brand.

[0058] In some embodiments, the electronic device 20 is used to associate license plate numbers representing the same vehicle based on the license plate numbers.

[0059] In some embodiments, the electronic device 20 is used to fuse the captured vehicle information whose license plate numbers represent the same vehicle according to the license plate numbers in the captured vehicle information.

[0060] In some embodiments, the electronic device 20 may include a processor. The processor is used to implement the fusion process of the vehicle capture information. Among them, the processor can be a central processing unit (CPU), a general-purpose processor network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor can also be other devices with processing functions, such as circuits, devices, or software modules, and the embodiments of the present application do not impose any restrictions on this.

[0061] In some embodiments, the electronic device 20 may also include a memory, which is used to store vehicle capture information from the acquisition device 10 and / or video files taken when the vehicle passes by the acquisition device 10. The processor can then search the vehicle capture information, related video files of the vehicle, etc. from the memory to fuse the vehicle capture information of the same vehicle.

[0062] Optionally, the electronic device 20 is composed of a vehicle information identification device and a vehicle information fusion device. The vehicle information identification device identifies the vehicle image or vehicle-related video file collected by the collection device 10 to obtain vehicle captured information, and then the vehicle captured information fusion device fuses the vehicle captured information representing the same vehicle sent by the vehicle information identification device.

[0063] Optionally, the electronic device 20 may further include a display device, or the electronic device 20 is connected to the display device, and the display device is used to display the fusion result of the vehicle captured information to the user.

[0064] In some embodiments, the acquisition device 10 may be a camera, a video camera, a video recorder, or the like that can be set up on the road to capture vehicles traveling on the road. The embodiment of the present application does not limit the specific type of the acquisition device 10.

[0065] The hardware structure of the above electronic equipment includes Figure 2 The computing device shown in FIG. Figure 2 The hardware structure of the electronic device is introduced by taking the computing device shown as an example.

[0066] like Figure 2 As shown, the computing device may include a processor 301, a memory 302, a communication interface 303, and a bus 304. The processor 301, the memory 302, and the communication interface 303 may be connected via a bus 304.

[0067] The processor 301 is the control center of the computing device, which can be a processor or a general term for multiple processing elements. For example, the processor 301 can be a general-purpose central processing unit (CPU) or other general-purpose processors. Among them, the general-purpose processor can be a microprocessor or any conventional processor.

[0068] As an embodiment, the processor 301 may include one or more CPUs, such as Figure 2 CPU 0 and CPU 1 are shown in .

[0069] The memory 302 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0070] In a possible implementation, the memory 302 may exist independently of the processor 301, and the memory 302 may be connected to the processor 301 via a bus 304 to store instructions or program codes. When the processor 301 calls and executes the instructions or program codes stored in the memory 302, the model deployment method provided in the embodiment of the present application can be implemented.

[0071] In another possible implementation, the memory 302 may also be integrated with the processor 301 .

[0072] The communication interface 303 is used for connecting the computing device to other devices through a communication network, which may be Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc. The communication interface 303 may include a receiving unit for receiving data and a sending unit for sending data.

[0073] The bus 304 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0074] It should be pointed out that Figure 2 The structure shown in the figure does not constitute a limitation on the computing device, except Figure 2In addition to the components shown, the computing device may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0075] The implementation of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0076] The license plate number association method provided in the embodiment of the present application can be executed by the above-mentioned electronic device 20.

[0077] like Figure 3 As shown, the embodiment of the present application provides a license plate number association method, which includes the following steps:

[0078] S101, obtaining a first license plate number.

[0079] In some embodiments, the first license plate number may be a license plate number recognized by the acquisition device from a captured vehicle image, or may be a license plate number obtained by the electronic device performing secondary recognition on the vehicle image.

[0080] S102: Search for a license plate number that differs from the first license plate number by N digits from a plurality of pre-stored license plate numbers.

[0081] In some embodiments, a search is performed from among multiple pre-stored license plate numbers to determine whether there is a license plate number that differs from the first license plate number by i digits, where i is a positive integer; if there is a license plate number that differs from the first license plate number by i digits, i is N; if there is no license plate number that differs from the first license plate number by i digits, a search is performed to determine whether there is a license plate number that differs from the first license plate number by i+1 digits, until i+1 reaches a preset value; wherein, during the first search, i is 1.

[0082] Exemplarily, the first license plate number is Ab1233, and the electronic device searches for a license plate number that differs from Ab1233 by one character from the previously received license plate numbers. If the electronic device only finds a license plate number Ab1234 that differs from Ab1233 by one character, N is 1, and the electronic device no longer searches for a license plate number that differs from Ab1233 by two characters. If the electronic device does not find a license plate number that differs from Ab1233 by one character, the electronic device continues to search for a license plate number that differs from Ab1233 by two characters. If the preset value set by the user is 2, when the electronic device does not find a license plate number that differs from Ab1233 by two characters, it will no longer search, and it is considered that the license plate number previously received by the electronic device does not contain a license plate number that represents the same vehicle as the first license plate number.

[0083] Generally speaking, a license plate number has only 7 digits. When the number of characters between the license plate numbers differs by more than two, it indicates that the possibility that the two license plate numbers are the same is low, and it is not considered that the two license plate numbers represent the same vehicle. Therefore, when the electronic device fails to find a license plate number that differs by two characters from the first license plate number, it will not continue to search for a license plate number that differs by three characters.

[0084] In this way, when there is no license plate number that is exactly the same as the first license plate number, it may be that the first license plate number is recognized incorrectly, then the license plate number that differs from the first license plate number by N characters is searched from the pre-stored license plate numbers, that is, the license plate number that may represent the same vehicle as the first license plate number is found, and a more accurate license plate number that represents the same vehicle as the first license plate number can be determined.

[0085] S103. If at least one second license plate number is found from the pre-stored plurality of license plate numbers and differs from the first license plate number by N digits, then the comprehensive credibility corresponding to each second license plate number is determined according to the credibility of the first license plate number and the credibility of each second license plate number.

[0086] In some embodiments, for each second license plate number, the electronic device determines the comprehensive credibility corresponding to the second license plate number based on the credibility of the first license plate number and the credibility of the second license plate number, the same character positions in the first license plate number and the second license plate number, and the credibility coefficient corresponding to each character position in the license plate number.

[0087] Exemplarily, the license plate number has 7 characters, and the credibility coefficient corresponding to each character from left to right is x1-x7. If the first license plate number is Abc1233 and the second license plate number is Abc1234, the electronic device determines the comprehensive credibility between the first license plate number and the second license plate number based on the credibility of the first license plate number, the credibility of the second license plate number, and the credibility coefficient x7 corresponding to the 7th character.

[0088] In general, the first character of the license plate number is text, which is more difficult to recognize than letters or numbers. Moreover, when letters and numbers are the same, the probability of the text characters being the same is also relatively high. In this case, the credibility coefficient corresponding to the first character is relatively small, and has little impact on whether the two license plate numbers represent the same vehicle. If the first few characters of the license plate numbers are the same, but the last characters are different, it indicates that the probability of accurate recognition of the license plate numbers is high, and the probability that the two license plate numbers represent the same vehicle is low. At the same time, if the last character is a number, the probability of incorrect recognition is low, and the credibility coefficient corresponding to the last character is relatively large, which has a greater impact on whether the two license plate numbers represent the same vehicle.

[0089] In some embodiments, the same character positions or digits of two license plate numbers are different, and the corresponding credibility coefficients are also different.

[0090] For example, the same character with two digits corresponds to one credibility coefficient, the same character with three digits corresponds to another credibility coefficient, and so on.

[0091] In some embodiments, for each second license plate number, the electronic device determines a comprehensive credibility corresponding to the second license plate number based on the credibility of the first license plate number and the credibility of the second license plate number.

[0092] For example, the electronic device directly multiplies the credibility of the first license plate number by the credibility of the second license plate number to obtain the comprehensive credibility between the first license plate number and the second license plate number.

[0093] The credibility of a license plate number is used to characterize the possibility that the license plate number is a real license plate number. In practical applications, the credibility of a license plate number can be a score of the license plate number, such as a clarity score. The higher the clarity, the more credible the recognized license plate number is.

[0094] In this way, based on the credibility of each of the two license plate numbers, a comprehensive credibility is obtained, which can accurately represent the possibility that the two license plate numbers represent the same vehicle, and the calculation process is relatively simple.

[0095] S104: Determine whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition, and obtain a determination result.

[0096] The judgment result may include: only one comprehensive credibility corresponding to the second license plate number satisfies the preset credibility condition, there are multiple comprehensive credibility corresponding to the second license plate number that satisfy the preset credibility condition, and there is no comprehensive credibility corresponding to the second license plate number that satisfies the preset credibility condition.

[0097] S105. Determine, based on the judgment result, whether the first license plate number and the second license plate number represent the same vehicle.

[0098] In some embodiments, the preset credibility condition includes: the comprehensive credibility is within a preset credibility range. If the judgment result indicates that there is a third license plate number in the second license plate number whose corresponding comprehensive credibility is within the preset credibility range, the electronic device determines that the third license plate number and the first license plate number represent the same vehicle.

[0099] Among them, since the first license plate number and the second license plate number are different, the higher the credibility of the first license plate number and the second license plate number, the higher the comprehensive credibility between the first license plate number and the second license plate number, and the lower the possibility of the first license plate number and the second license plate number being misidentified, that is, the lower the possibility that the first license plate number and the target license plate number represent the same vehicle. When the comprehensive credibility is smaller, it means that the credibility of at least one license plate number between the first license plate number and the second license plate number is lower, and the credibility of the two license plate numbers representing the same vehicle is also lower. Therefore, by setting a preset credibility range, the overly large or undersized comprehensive credibility is deleted, and the more credible comprehensive credibility is retained, and the two license plate numbers corresponding to the retained comprehensive credibility are also more credible to represent the same vehicle.

[0100] For example, if the first license plate number differs from license plate number 1, license plate number 2, and license plate number 3 by one character respectively, and among the comprehensive credibility corresponding to license plate number 1, license plate number 2, and license plate number 3, only the comprehensive credibility corresponding to license plate number 3 is within the preset credibility threshold range, the electronic device determines that license plate number 3 and the first license plate number represent the same vehicle.

[0101] In this way, the comprehensive credibility of each second license plate number is determined through the credibility of each first license plate number and the credibility of each second license plate number, so that the comprehensive credibility that meets the conditions is screened out through the preset credibility range, and then based on the screened comprehensive credibility, the license plate number representing the same vehicle as the first license plate number can be more accurately determined.

[0102] In some embodiments, if the judgment result indicates that there are multiple fourth license plate numbers in the second license plate number and the comprehensive credibility corresponding to them is within a preset credibility range, the electronic device obtains the vehicle capture information corresponding to each of the multiple fourth license plate numbers, and the first vehicle capture information corresponding to the first license plate number; if the vehicle capture information corresponding to the fifth license plate number among the multiple fourth license plate numbers has the highest similarity to the first vehicle capture information, the electronic device determines that the first license plate number and the fifth license plate number represent the same vehicle.

[0103] For example, there is no license plate number that differs from the first license plate number by one character, but there are five fourth license plate numbers that differ from the first license plate number by two characters. The comprehensive credibility of each of the five fourth license plate numbers is calculated respectively. If the comprehensive credibility of three fifth license plate numbers among the five comprehensive credibility levels meets the preset credibility condition, the similarity of the vehicle capture information corresponding to the three fifth license plate numbers is compared with the first vehicle capture information respectively. The fifth license plate number corresponding to the vehicle capture information with the highest similarity to the first vehicle capture information is the license plate number representing the same vehicle as the first license plate number.

[0104] In this way, when multiple comprehensive credibility levels that meet the preset credibility conditions are determined, the license plate number representing the same vehicle as the first license plate number can be accurately determined by comparing the similarity between the vehicle capture information corresponding to the license plate numbers corresponding to these comprehensive credibility levels and the first vehicle capture information.

[0105] In some embodiments, if there is a sixth license plate number and a fifth license plate number representing the same vehicle, the electronic device determines that the number of identical characters between the sixth license plate number and the fifth license plate number is a first value, and the number of identical characters between the fifth license plate number and the first license plate number is a second value; when the first value is greater than the second value, the electronic device determines that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is greater than the possibility that the fifth license plate number and the first license plate number represent the same vehicle; when the first value is equal to the second value, the electronic device determines that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is equal to the possibility that the fifth license plate number and the first license plate number represent the same vehicle; when the first value is less than the second value, the electronic device determines that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is less than the possibility that the fifth license plate number and the first license plate number represent the same vehicle.

[0106] Exemplarily, at a first moment, the electronic device receives the first license plate number, and determines from a plurality of pre-stored license plate numbers that the first license plate number and license plate number 1 represent the same vehicle. If the electronic device receives license plate number 2, the above operation is performed on license plate number 2. If it is also determined that license plate number 2 and license plate number 1 represent the same vehicle, the electronic device determines the number a of characters that are the same as license plate number 1, and determines the number b of characters that are the same as license plate number 2 and license plate number 1. Based on a and b, the electronic device determines the possibility that the first license plate number and license plate number 1 represent the same vehicle, and the relationship between the possibility that license plate number 2 and license plate number 1 represent the same vehicle. In subsequent applications, the vehicle capture information corresponding to the two license plate numbers that are more likely to represent the same vehicle can be determined as the vehicle capture information of the same vehicle.

[0107] In this way, the electronic device can determine the two license plate numbers that are more likely to represent the same vehicle by comparing the possibility that multiple license plate numbers represent the same vehicle with one license plate number. When performing applications such as vehicle capture information fusion based on license plate numbers representing the same vehicle, more accurate application results can also be obtained.

[0108] Figure 3The technical solution shown brings at least the following beneficial effects: when there is no license plate number that is exactly the same as the first license plate number, it may be that the first license plate number is recognized incorrectly, then a license plate number that differs from the first license plate number by N characters is searched from multiple pre-stored license plate numbers, that is, the license plate number that may represent the same vehicle as the first license plate number is found, which can avoid the situation where the license plate number representing the same vehicle as the first license plate number cannot be found due to an error in recognizing the first license plate number. In subsequent applications, when the vehicle capture information is fused based on the license plate numbers representing the same vehicle, a more accurate fusion result can be obtained.

[0109] In some embodiments, the above license plate number association method can be applied to the fusion process of vehicle capture information, as follows Figure 4 As shown, the present application also provides a vehicle information fusion method based on the above license plate number association method, comprising the following steps:

[0110] S201. When first vehicle captured information including a first license plate number is obtained for the first time, a first queue to be fused is established with the first license plate number as identification information, and the first vehicle captured information is stored in the first queue to be fused.

[0111] In some embodiments, the first vehicle captured information includes a first vehicle image. When the electronic device receives the first vehicle captured information including the first license plate number, if there is no queue to be fused whose identification information is the first license plate number in the queue to be fused stored by the electronic device, the first vehicle image is recognized again to obtain the re-identified license plate number. If there is no queue to be fused whose identification information is the re-identified license plate number in the queue to be fused stored by the electronic device, and there is no queue to be fused whose identification information satisfies the preset similarity condition with the first license plate number and / or the re-identified license plate number, the electronic device determines that the first vehicle captured information is obtained for the first time. The preset similarity condition may be that the number of identical character digits of the two license plate numbers is greater than a preset number.

[0112] In some embodiments, the collection directions of the captured vehicle information at a collection location in the queue to be fused are all different.

[0113] Exemplarily, as shown in Table 1, for a certain collection location, the electronic device stores multiple queues to be fused corresponding to the collection location. Taking queue 1 to be fused as an example, the identification information of queue 1 to be fused is license plate number 1, and queue 1 to be fused includes vehicle capture information of 3 vehicles with different collection directions.

[0114] Table 1 Schematic diagram of the queue to be fused corresponding to the Nth collection location

[0115]

[0116] In this way, by establishing a queue to be fused, the vehicle capture information of the same vehicle at the same collection location is stored together, which is convenient for users to view the vehicle capture information and also convenient for users to organize the capture information of the same vehicle.

[0117] In some embodiments, the lane number, vehicle type, vehicle charging type and other contents in the first vehicle captured information can be extracted from the first vehicle image by means of a deep learning neural network algorithm and the like. The embodiment of the present application does not specifically limit the method for extracting vehicle captured information from a vehicle image.

[0118] In some embodiments, the acquisition device records a video file of a vehicle traveling within the shooting range of the acquisition device. After identifying the video file recorded by the acquisition device, a frame of image in which the vehicle is located at a preset position in the shooting range of the acquisition device and has the highest clarity is used as the vehicle image of the vehicle captured by the acquisition device.

[0119] In some embodiments, the acquisition device captures vehicles traveling within the shooting range of the acquisition device at a preset frequency. After identifying the vehicle image captured by the acquisition device, the vehicle image whose position is closest to the preset position in the shooting range of the acquisition device and the frame of image with the highest clarity is used as the vehicle image of the vehicle captured by the acquisition device.

[0120] S202: within the target time after the first vehicle captured information is obtained, if the second vehicle captured information is obtained, determine whether the to-be-compared license plate number corresponding to the second vehicle captured information is the same as the first license plate number, and obtain a first determination result.

[0121] In some embodiments, when the first vehicle capture information includes the vehicle speed and the vehicle speed is a positive number, the electronic device determines the target duration based on the location of the first vehicle captured and the location of the last vehicle captured in the same collection location in the vehicle's driving direction, as well as the vehicle speed; when the first vehicle capture information includes the vehicle speed and the vehicle speed is zero, or when the first vehicle capture information does not include the vehicle speed, the electronic device determines the preset duration as the target duration. It should be understood that the shooting range of the collection device is unchanged, and the electronic device can determine the location of the vehicle captured by the collection device based on the collection range of the collection device, that is, determine the location of the earliest collected vehicle and the location of the last collected vehicle.

[0122] Exemplarily, at a certain collection location, collection device A is the collection device that collects the vehicle first, and collection device B is the collection device that collects the vehicle last. Assume that according to the shooting range of collection device A and collection device B, it is known that the distance between the location where the vehicle is first collected and the location where the vehicle is last collected in the collection location is 100m. If the electronic device receives the first vehicle snapshot information for the first time, it is determined from the first vehicle snapshot information that the vehicle passes through the collection location at a speed of 72km / h. Then the time it takes for the vehicle to pass through the collection location is 5s, that is, the target duration is 5s. Then, the timing starts from the time the electronic device receives the first vehicle snapshot information, and it is considered that the vehicle snapshot information received after 5s is not the snapshot information of the vehicle, that is, the vehicle snapshot information fusion operation of the vehicle at the collection location will no longer be continued after 5s.

[0123] In this way, by determining the target time and completing the vehicle capture information fusion operation within the target time, it is possible to avoid the electronic device waiting for the vehicle capture information of the vehicle for a long time and reduce the time required for vehicle fusion.

[0124] In some embodiments, the second vehicle captured information includes a second vehicle image and a second license plate number, and the second license plate number is a license plate number identified from the second vehicle image. The license plate numbers to be compared corresponding to the second vehicle captured information are the second license plate number and the third license plate number, and the third license plate number is a license plate number obtained by performing a secondary recognition on the second vehicle image when there is no queue to be fused with the same identification information as the second license plate number. By performing a secondary recognition on the second vehicle image, it is possible to avoid vehicle captured information fusion errors caused by inaccurate second license plate number recognized for the first time, and in the subsequent process, combining the second license plate number and the third license plate number to fuse the vehicle captured information can also obtain a more accurate vehicle captured information fusion result.

[0125] In this way, by performing secondary recognition on the second vehicle image, the accuracy of license plate number recognition can be improved, and then combining the second license plate number and the third license plate number to fuse the vehicle captured information can also obtain a more accurate vehicle captured information fusion result.

[0126] S203: Determine whether to merge the second vehicle captured information and the first queue to be merged according to the first judgment result.

[0127] Among them, the first judgment result includes: the first license plate number is the same as the second license plate number, the first license plate number is different from the second license plate number but the first license plate number is the same as the third license plate number, or the first license plate number is different from the second license plate number and the third license plate number.

[0128] In some embodiments, when the first judgment result indicates that the first license plate number is the same as the second license plate number, or when the first judgment result indicates that the first license plate number is different from the second license plate number, but the first license plate number is the same as the third license plate number, the electronic device fuses the second vehicle captured information with the first queue to be fused.

[0129] In some embodiments, the second vehicle captured information further includes a second acquisition direction, and the second acquisition direction is the acquisition direction of the second vehicle image in the second vehicle captured information. The electronic device fuses the second vehicle captured information with the first queue to be fused, which can be specifically implemented as follows: the electronic device fuses the second vehicle captured information with the first queue to be fused according to the acquisition direction in the captured information of each vehicle in the first queue to be fused, and the second acquisition direction.

[0130] Specifically, in the process of fusing the second vehicle captured information and the first queue to be fused according to the collection direction in the vehicle captured information in the first queue to be fused, and the second collection direction, if there is no vehicle captured information with the same collection direction as the second collection direction in the first queue to be fused, the electronic device stores the second vehicle captured information in the first queue to be fused.

[0131] If there is a third vehicle capture information with the same collection direction as the second collection direction in the first queue to be fused, the electronic device compares the fourth license plate number in the third vehicle capture information with the first license plate number to obtain a comparison result, and then the electronic device fuses the second vehicle capture information and the first queue to be fused based on the comparison result.

[0132] If the comparison result indicates that the fourth license plate number is the same as the first license plate number, and the credibility of the license plate number to be compared corresponding to the second vehicle captured information is greater than the credibility of the fourth license plate number, the third vehicle captured information is replaced by the second vehicle captured information.

[0133] Exemplarily, the second vehicle capture information collects the vehicle's forward image. Assuming that the first queue to be fused does not store the vehicle capture information containing the vehicle's forward image, the electronic device directly stores the second vehicle capture information in the first queue to be fused. Assuming that the first queue to be fused stores the third vehicle capture information, and the third vehicle capture information contains the vehicle's forward image, the electronic device determines the fourth license plate number in the third vehicle capture information. If the fourth license plate number is the same as the identification information of the first queue to be fused, and the license plate number to be compared corresponding to the second vehicle capture information is also the same as the identification information of the first queue to be fused, then it is impossible to determine which vehicle capture information is more reliable only from the license plate number. Therefore, the electronic device compares the credibility of the license plate number to be compared corresponding to the second vehicle capture information and the credibility of the fourth license plate number. When the credibility of the two is equal, it indicates that the reliability of the vehicle capture information of the two is equal, then the electronic device can replace the third vehicle capture information with the second vehicle capture information, or it can not perform the replacement process. When the credibility of the license plate number to be compared corresponding to the second vehicle captured information is less than the credibility of the fourth license plate number, it indicates that the third vehicle captured information is more reliable, and the electronic device retains the third vehicle captured information. When the credibility of the license plate number to be compared corresponding to the second vehicle captured information is greater than the credibility of the fourth license plate number, it indicates that the second vehicle captured information is more reliable, and the electronic device replaces the third vehicle captured information with the second vehicle captured information.

[0134] In this way, the vehicle capture information stored in the queue to be fused established by the electronic device is the most reliable vehicle capture information in the collection direction, and the final fusion result of the vehicle capture information is more reliable.

[0135] In some embodiments, step S103 can be specifically implemented as follows: if there is no queue to be fused whose identification information is the same as the license plate number to be compared, then the electronic device searches for a queue to be fused whose identification information differs by N digits from the license plate number to be compared within the target time length of receiving the second vehicle capture information; if the identification information of the second queue to be fused differs by N digits from the license plate number to be compared, then the electronic device determines the comprehensive credibility corresponding to each target license plate number based on the credibility of the license plate number to be compared and the credibility of each target license plate number; the electronic device determines whether the comprehensive credibility corresponding to each target license plate number meets the preset credibility condition, and obtains a second judgment result; and then the electronic device determines whether to fuse the second vehicle capture information and the second queue to be fused based on the second judgment result. Wherein, N is a positive integer, the target license plate number is the identification information of the second queue to be fused, and the credibility of the target license plate number is the credibility of the license plate number in the vehicle capture information with the earliest collection time in the second queue to be fused.

[0136] In some embodiments, the electronic device searches whether there is a queue to be merged whose identification information differs from the license plate number to be compared by N digits. This can be specifically implemented as follows: the electronic device searches whether there is a queue to be merged whose identification information differs from the license plate number to be compared by i digits, where i is a positive integer; if there is no queue to be merged whose identification information differs from the license plate number to be compared by i digits, searches whether there is a queue to be merged whose identification information differs from the license plate number to be compared by i+1 digits; wherein, during the first search, i is 1.

[0137] Exemplarily, if the license plate numbers to be compared are Ab1233 and Ab1234, the electronic device searches for a queue to be merged that differs from Ab1233 and / or Ab1234 by one character from the identification information of the queues to be merged that have been established previously. For example, if the electronic device finds a queue to be merged whose identification information is Ac1234, and Ac1234 differs from Ab1234 by only one character, the electronic device will no longer continue to search for a queue to be merged whose identification information differs from the license plate numbers to be compared by 2 characters. If the electronic device does not find a queue to be merged whose identification information differs from Ab1233 and / or Ab1234 by one character, the electronic device will continue to search for a queue to be merged whose identification information differs from Ab1233 and / or Ab1234 by two characters.

[0138] Generally speaking, a license plate number has only 7 digits. When the number of characters that differ between the license plate numbers exceeds two, it indicates that the possibility that the two license plate numbers are the same is low, and the two license plate numbers are not considered to represent the same vehicle. Therefore, when the electronic device fails to find a queue to be fused whose identification information differs from the license plate number to be compared by two characters, it will not continue to search for a queue to be fused whose identification information differs from the license plate number to be compared by three characters.

[0139] In this way, when there is no license plate number that is exactly the same as the license plate number to be compared, it may be that the license plate number to be compared is misidentified. In this way, the license plate number that differs from the license plate number to be compared by N characters is searched from the identification information of the pre-stored queue to be fused, that is, the queue to be fused that may represent the same vehicle as the license plate number to be compared is found out. This can avoid the situation where the vehicle capture information representing the same vehicle as the second vehicle capture information cannot be found due to the misidentification of the license plate number to be compared, and the accuracy of the vehicle fusion result is also higher.

[0140] In some embodiments, the electronic device determines the comprehensive credibility corresponding to each target license plate number based on the credibility of the license plate number to be compared and the credibility of each target license plate number. This can be specifically implemented as follows: the electronic device obtains the credibility of the second license plate number or the third license plate number that differs by N digits from the target license plate number; and then determines the comprehensive credibility corresponding to each target license plate number based on the credibility of each target license plate number and the credibility of the second license plate number or the third license plate number that differs by N digits from the target license plate number.

[0141] Specifically, the specific method for determining the comprehensive credibility between two license plate numbers can be as described in the embodiment of the license plate number association method mentioned above, and will not be repeated here.

[0142] In this way, based on the credibility of each of the two license plate numbers, a comprehensive credibility is obtained, which can accurately represent the possibility that the two license plate numbers represent the same vehicle. The calculation process is also relatively simple, saving the time required for the vehicle capture information fusion process.

[0143] In some embodiments, the electronic device determines whether to fuse the second vehicle captured information and the second queue to be fused based on the second judgment result, which can be specifically implemented as follows: if the second judgment result indicates that the comprehensive credibility that meets the preset credibility condition is one, the electronic device determines whether there is vehicle captured information in the second collection direction in the third queue to be fused, and obtains the third judgment result, where the second collection direction is the collection direction of the second vehicle image in the second vehicle captured information, and the third queue to be fused is the second queue to be fused corresponding to the target license plate number corresponding to the comprehensive credibility that meets the preset credibility condition; if the third judgment result is that there is no vehicle captured information in the second collection direction in the third queue to be fused, the second vehicle captured information is stored in the third queue to be fused; if the third judgment result is that there is vehicle captured information in the second collection direction in the third queue to be fused, it is determined whether the fifth license plate number in the vehicle captured information in the second collection direction in the third queue to be fused is the same as the target license plate number, and a fourth judgment result is obtained; according to the fourth judgment result, the second vehicle captured information and the third queue to be fused are fused.

[0144] Among them, when the comprehensive credibility is within the preset credibility threshold range, the comprehensive credibility meets the preset credibility condition. Since the license plate number to be compared is different from the target license plate number, the higher the credibility of the license plate number to be compared and the target license plate number, the higher the comprehensive credibility between the license plate number to be compared and the target license plate number, the lower the possibility of the license plate number to be compared and the target license plate number being misidentified, that is, the lower the possibility that the license plate number to be compared and the target license plate number represent the same vehicle. When the comprehensive credibility is smaller, it indicates that the credibility of at least one license plate number between the license plate number to be compared and the target license plate number is lower, and the credibility of the two license plate numbers representing the same vehicle is also lower. Therefore, by setting the preset credibility threshold range, the overly large or overly small comprehensive credibility is deleted, and the more credible comprehensive credibility is retained, and the two license plate numbers corresponding to the retained comprehensive credibility are also more credible to represent the same vehicle.

[0145] Exemplarily, based on the above example, if the comprehensive credibility corresponding to license plate number 3, license plate number 4, and license plate number 5 respectively, only the comprehensive credibility corresponding to license plate number 4 is within the preset credibility threshold range, then the queue to be fused corresponding to license plate number 4 is the third queue to be fused, and the electronic device fuses the second vehicle capture information and the third queue to be fused.

[0146] In this way, the comprehensive credibility of each target license plate number is determined through the credibility of each license plate number to be compared and the credibility of each target license plate number, so that the comprehensive credibility that meets the conditions can be screened out through the preset credibility threshold range, and then the second queue to be fused can be determined more accurately based on the screened comprehensive credibility, and the fusion result of the final vehicle capture information will also be more accurate.

[0147] In some embodiments, the electronic device fuses the second vehicle captured information and the third queue to be fused based on the fourth judgment result, which can be specifically implemented as follows: if the fourth judgment result indicates that the fifth license plate number in the vehicle captured information of the second collection direction in the third queue to be fused is different from the target license plate number, the number of identical characters between the fifth license plate number and the target license plate number is determined to be a first value, and the number of identical characters between the license plate number to be compared that differs from the target license plate number by N digits and the target license plate number is determined to be a second value; when the second value is greater than the first value, or the second value is equal to the first value, and the credibility of the license plate number to be compared that differs from the target license plate number by N digits is greater than the credibility of the fifth license plate number, the vehicle captured information of the second collection direction in the third queue to be fused is replaced by the second vehicle captured information.

[0148] Exemplarily, the identification information of the third queue to be fused is license plate number 1, and the license plate number to be compared with license plate number 1 that obtains a comprehensive credibility that satisfies the preset credibility condition is license plate number 2. If there is no vehicle capture information in the third queue to be fused whose collection direction is the same as that of the second vehicle capture information, the electronic device directly stores the second vehicle capture information in the third queue to be fused. If there is vehicle capture information A in the third queue to be fused whose collection direction is the same as that of the second vehicle capture information, and the vehicle capture information A includes license plate number 3, the electronic device determines the number of characters a that are the same as license plate number 1 and license plate number 2, and the number of characters b that are the same as license plate number 1 and license plate number 3. If a<b, the electronic device still retains the vehicle capture information A. If a=b, the electronic device further compares the credibility of the license plate number 2 and the credibility of the license plate number 3. When the credibility of the license plate number 2 is greater than the credibility of the license plate number 3, the electronic device replaces the vehicle captured information A with the second vehicle captured information. When the credibility of the license plate number 2 is less than the credibility of the license plate number 3, the electronic device retains the vehicle captured information A. When the credibility of the license plate number 2 is equal to the credibility of the license plate number 3, the electronic device can retain the vehicle captured information A or replace the vehicle captured information A with the second vehicle captured information. If a>b, the electronic device replaces the vehicle captured information A with the second vehicle captured information.

[0149] In this way, the more identical characters the two license plate numbers have, the greater the possibility that the two license plate numbers represent the same vehicle. By comparing the number of identical characters between the fifth license plate number and the target license plate number, as well as the number of identical characters between the license plate number to be compared that differs by N digits from the target license plate number and the target license plate number, the vehicle capture information with the same number of characters as the identification information of the third queue to be fused can be retained. The possibility that the last vehicle capture information stored in the third queue to be fused represents the same vehicle is also greater, and the final vehicle capture information fusion result is more accurate.

[0150] In some embodiments, the electronic device determines whether to fuse the second vehicle captured information and the second queue to be fused based on the second judgment result. It can also be implemented as follows: if the second judgment result indicates that there are multiple comprehensive credibility levels that all meet the preset credibility conditions, the fourth queue to be fused where the vehicle captured information with the highest similarity to the second vehicle captured information is located is determined from the second queue to be fused corresponding to the target license plate number corresponding to the multiple comprehensive credibility levels that meet the preset credibility conditions; according to the second collection direction, the second vehicle captured information and the fourth queue to be fused are fused.

[0151] Exemplarily, there is no queue to be fused whose identification information differs from the license plate number to be compared by 1 digit, but there are 3 queues to be fused whose identification information differs from the second license plate number by 2 digits, and there are 3 queues to be fused whose identification information differs from the third license plate number by 2 digits. The comprehensive credibility corresponding to these 5 target license plate numbers is calculated respectively. If these 5 comprehensive credibility levels all meet the preset credibility conditions, then the vehicle capture information received for the first time in the queue to be fused corresponding to the 5 target license plate numbers is compared with the second vehicle capture information respectively. The queue to be fused corresponding to the vehicle capture information with the highest similarity to the second vehicle capture information is the queue to be fused with the second vehicle capture information.

[0152] In this way, when multiple comprehensive credibility that meets the preset credibility similarity conditions are determined, by comparing the similarity between the vehicle capture information first received in the queue to be fused corresponding to these comprehensive credibility and the second vehicle capture information, the fourth queue to be fused is determined to be more accurate, and the final fusion result of the vehicle capture information is also more accurate.

[0153] Figure 4 The technical solution shown brings at least the following beneficial effects: when the first vehicle snapshot information containing the first license plate number is obtained for the first time, a first queue to be fused is established with the first license plate number as identification information, and the first vehicle snapshot information is stored in the first queue to be fused, and it is judged whether the second snapshot information received within the target time length after the first vehicle snapshot information is obtained, and the corresponding license plate to be compared is the same as the first license plate number, and whether to fuse the second vehicle snapshot information and the first queue to be fused is determined according to the judgment result. In this way, it can be determined whether to fuse the snapshot information of different vehicles by the license plate number, even if the collection order of the vehicle snapshot information is different from the order in which the electronic device receives the vehicle snapshot information, the vehicle snapshot information of the same vehicle in different collection directions can be accurately fused, avoiding the error of merging the vehicle snapshot information of different vehicles, and the vehicle information fusion result is more accurate.

[0154] In some embodiments, when the first license plate number has no characters, within the target time length, the vehicle captured information with the highest similarity to the first vehicle captured information in the pre-stored vehicle captured information to be fused is used as the second vehicle captured information.

[0155] Exemplarily, the electronic device does not recognize the license plate number from the first vehicle image, that is, the first license plate number has no characters, then the electronic device cannot determine whether the two vehicle capture information are information of the same vehicle through the license plate number. The electronic device determines the similarity between the two vehicle capture information based on other information in the vehicle capture information, thereby determining the queue to be fused where the vehicle capture information with the highest similarity to the first vehicle capture information is located, that is, the vehicle capture information to be stored in the first vehicle capture information.

[0156] In this way, even if the vehicle does not have a license plate, the electronic device can determine the vehicle capture information of the vehicle in other collection directions from the vehicle capture information to be fused based on other contents in the vehicle capture information, and perform vehicle capture information fusion operations.

[0157] In some embodiments, when the first license plate number includes the target character, the electronic device determines the vehicle captured information to be fused that has the highest similarity with the first vehicle captured information and the earliest received time among the pre-stored vehicle captured information to be fused as the second vehicle captured information.

[0158] Generally speaking, there is no delay in the network between the acquisition device and the electronic device, and the vehicle's forward image is captured by the acquisition device first. That is, the electronic device first receives the vehicle's forward image, followed by the vehicle's side image, and finally the vehicle's rear image.

[0159] The similarity with the first vehicle’s captured information is the highest and should meet the following conditions:

[0160] Condition 1: The lane numbers are the same.

[0161] Condition 2: The vehicles are of the same type.

[0162] Condition three: The license plate color is yellow.

[0163] Condition 4: The number of vehicle axles is greater than 4.

[0164] Condition 5, T2<T1, and T3<T1. Among them, for each queue to be fused that meets conditions 1, 2, 3 and 4, the time difference T1 between the acquisition time of the acquisition device with the acquisition direction in the forward direction of the vehicle and the acquisition time of the acquisition device with the acquisition direction in the reverse direction of the vehicle is determined according to the vehicle speed in the captured information of the vehicle to be fused with the acquisition direction in the forward direction of the vehicle, and the distance between the acquisition range of the acquisition device with the acquisition direction in the forward direction of the vehicle and the acquisition range of the acquisition device with the acquisition direction in the reverse direction of the vehicle. According to the vehicle speed in the first vehicle captured information, and the distance between the acquisition range of the acquisition device with the acquisition direction in the forward direction of the vehicle and the acquisition range of the acquisition device with the acquisition direction in the reverse direction of the vehicle, the time difference T2 between the acquisition time of the first vehicle image and the acquisition time of the acquisition device with the acquisition direction in the forward direction of the vehicle corresponding to the first vehicle image is determined. According to the acquisition time of the first vehicle image, and the acquisition time of the captured information of the vehicle to be fused with the acquisition direction in the forward direction of the vehicle in the queue to be fused, the time difference T3 is determined.

[0165] From the queues to be merged under conditions one to five, the captured vehicle information to be merged with the earliest collection time, that is, the earliest receiving time, is determined as the second vehicle captured information associated with the first license plate number.

[0166] In practical applications, the target character is the Chinese character "挂" (hanging). A trailer refers to a vehicle that is towed by an automobile and has no power drive device of its own. It can only form a complete transportation tool together with a tractor or other automobiles. The license plate number of the tractor is different from that of the trailer. The license plate of the tractor is located in the front of the tractor, and the license plate of the trailer is located in the back of the trailer. It is impossible to determine the tractor of the trailer from the license plate number.

[0167] After receiving the vehicle capture information, if the electronic device identifies a license plate number containing the character "挂" (hanging) from the vehicle image in the vehicle capture information, it indicates that this vehicle image should be captured by the acquisition device that takes the vehicle's backward image, that is, the vehicle's forward and side images have been captured. Therefore, the electronic device only needs to find the vehicle capture information that meets the above five conditions from the vehicle capture information to be fused, which is the vehicle capture information of the vehicle in other directions, and the electronic device can fuse these vehicle capture information.

[0168] In this way, since the front and rear license plates of the vehicle containing the target character are different, when the target character is contained in the first license plate number, by finding the vehicle capture information to be fused with the highest similarity and the earliest receiving time to the first vehicle capture information, the second vehicle capture information associated with the first vehicle capture information can be found, and the vehicle capture information fusion operation can be performed. Considering the special case where the target character is contained in the license plate number, the electronic device can perform the vehicle capture information fusion operation for different vehicles.

[0169] As Figure 5 shown, the above vehicle information fusion solution will be described in detail from the perspective of the overall process.

[0170] The electronic device receives the first vehicle capture information, which includes the license plate number p1, and determines whether the first vehicle capture information is received for the first time. If it is received for the first time, a queue to be fused is established with p1 as the identification information. If it is not received for the first time, it is determined whether pk=p1 is present from the identification information of the pre-stored queue to be fused. If p2=p1 exists, the first vehicle capture information and the queue to be fused corresponding to p2 are fused. If pk=p1 does not exist, the first vehicle image in the first vehicle capture information is recognized twice to obtain the license plate number p3, and it is checked again whether pk=p3 exists. If p4=p3 exists, the first vehicle capture information and the queue to be fused corresponding to p4 are fused. If pk=p3 does not exist, the license plate number that differs by one character from p1 and / or p3 is searched from the identification information of the pre-stored queue to be fused. If there is a difference of one character between p5 and p1, and one character between p6 and p3, then the comprehensive credibility between p5 and p1 is further obtained, p5*p1, and the comprehensive credibility between p6 and p3 is obtained, p6*p3, and the comprehensive credibility that meets the preset credibility conditions is screened out from the obtained multiple comprehensive credibility, and then the queue to be fused with the highest similarity to the first vehicle captured information is selected from the screened comprehensive credibility, and the queue to be fused finally screened out and the first vehicle captured information are fused. If there is no license plate number that differs from p1 and / or p3 by one character, then it is determined to search for a license plate number that differs from p1 and / or p3 by two characters in the identification information of the pre-stored queue to be fused. If there are multiple p5s that differ from p1 or p3 by two digits, the comparison result of the comprehensive credibility p1*p5 or p3*p5 and the threshold is calculated. The license plate number that is less than the threshold is a qualified license plate number. When there is only one comprehensive credibility that is less than the threshold, the above-mentioned direction-related fusion judgment process is performed. If there are multiple license plate numbers whose corresponding comprehensive credibility is less than the threshold, the most suitable license plate number is further determined based on other information in the vehicle capture information, and the direction-related fusion judgment process is performed again. If there is no license plate number that differs from p1 or p3 by two digits, a queue to be fused is established with p1 as the identification information, and the first vehicle capture information is stored in this queue to be fused.

[0171] like Figure 6 As shown, the fusion process of vehicle captured information is introduced by taking the fusion of the first vehicle captured information corresponding to p1 and the second queue to be fused corresponding to p2 as an example.

[0172] If there is no vehicle captured information in the second queue to be fused with the same collection direction as the first vehicle captured information, the first vehicle captured information is directly stored in the second queue to be fused. If there is a second vehicle captured information in the second queue to be fused with the same collection direction as the first vehicle captured information, the electronic device determines the number of digits a that are the same as the license plate numbers p3 and p2 in the second vehicle captured information, and the number of digits b that are the same as the license plate numbers p1 and p2. If a<b, the electronic device replaces the second vehicle captured information with the first vehicle captured information; if a=b, the electronic device compares the credibility of p1 with the credibility of p3, if the credibility of p1 is greater than the credibility of p3, the electronic device replaces the second vehicle captured information with the first vehicle captured information, if the credibility of p3 is greater than the credibility of p1, the electronic device retains the second vehicle captured information; if a>b, the electronic device retains the second vehicle captured information.

[0173] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to achieve the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. It should be easy to realize that the technical goals in this field are combined with the units and algorithm steps of each example described in the embodiments disclosed in this article, and the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical goals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0174] like Figure 7 As shown, the embodiment of the present application also provides a license plate number association device, which is used in the license plate number association method shown in the above method embodiment. The license plate number association device 400 includes: an acquisition module 401 and a processing module 402.

[0175] Among them, the acquisition module 401 is used to obtain the first license plate number; the processing module 402 is used to search for a license plate number that differs from the first license plate number by N digits from a plurality of pre-stored license plate numbers, where N is a positive integer; the processing module 402 is also used to determine the comprehensive credibility corresponding to each second license plate number based on the credibility of the first license plate number and the credibility of each second license plate number if at least one second license plate number that differs from the first license plate number by N digits is found from a plurality of pre-stored license plate numbers; the processing module 402 is also used to determine whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition to obtain a judgment result; the processing module 402 is also used to determine whether the first license plate number and the second license plate number represent the same vehicle based on the judgment result.

[0176] In one possible implementation, the processing module 402 is specifically used to: search from a plurality of pre-stored license plate numbers whether there is a license plate number that differs from the first license plate number by i digits, where i is a positive integer; if there is a license plate number that differs from the first license plate number by i digits, i is N; if there is no license plate number that differs from the first license plate number by i digits, search whether there is a license plate number that differs from the first license plate number by i+1 digits, until i+1 reaches a preset value; wherein, during the first search, i is 1.

[0177] In one possible implementation, the processing module 402 is specifically used to: for each second license plate number, determine the comprehensive credibility corresponding to the second license plate number based on the credibility of the first license plate number and the credibility of the second license plate number, the same character positions in the first license plate number and the second license plate number, and the credibility coefficient corresponding to each character position in the license plate number.

[0178] In one possible implementation, the preset credibility condition includes: the comprehensive credibility is within a preset credibility range; the processing module 402 is specifically used for: if the judgment result indicates that there is a third license plate number in the second license plate number and the comprehensive credibility corresponding to the third license plate number is within the preset credibility range, then it is determined that the third license plate number and the first license plate number represent the same vehicle.

[0179] In a possible implementation, the acquisition module 401 is also used to obtain the vehicle capture information corresponding to each of the multiple fourth license plate numbers and the first vehicle capture information corresponding to the first license plate number if the judgment result indicates that the comprehensive credibility corresponding to multiple fourth license plate numbers in the second license plate number is within a preset credibility range; the processing module 402 is also specifically used to determine that the first license plate number and the fifth license plate number represent the same vehicle if the vehicle capture information corresponding to the fifth license plate number among the multiple fourth license plate numbers has the highest similarity to the first vehicle capture information.

[0180] In one possible implementation, processing module 402 is also used for: if there is a sixth license plate number and a fifth license plate number representing the same vehicle, determining that the number of identical characters between the sixth license plate number and the fifth license plate number is a first value, and the number of identical characters between the fifth license plate number and the first license plate number is a second value; when the first value is greater than the second value, determining that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is greater than the possibility that the fifth license plate number and the first license plate number represent the same vehicle; when the first value is equal to the second value, determining that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is equal to the possibility that the fifth license plate number and the first license plate number represent the same vehicle; when the first value is less than the second value, determining that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is less than the possibility that the fifth license plate number and the first license plate number represent the same vehicle.

[0181] It should be noted that Figure 7 The division of modules in the example is schematic and is only a logical function division. There may be other division methods in actual implementation. For example, two or more functions may be integrated into one processing module. The above integrated modules may be implemented in the form of hardware or software function modules.

[0182] Another embodiment of the present application further provides an electronic device, such as Figure 8 As shown, the electronic device 500 includes a memory 501 and a processor 502; the memory 501 and the processor 502 are coupled; the memory 501 is used to store computer program codes, and the computer program codes include computer instructions. When the processor 502 executes the computer instructions, the electronic device 500 executes each step executed by the electronic device in the method flow shown in the above method embodiment.

[0183] In actual implementation, the acquisition module 401 and the processing module 402 can be composed of Figure 8 The processor 502 shown is implemented by calling the computer program code in the memory 501. The specific execution process can refer to the description of the license plate number association method above, which will not be repeated here.

[0184] Another embodiment of the present application further provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes each step executed by the electronic device in the method flow shown in the above method embodiment.

[0185] Another embodiment of the present application also provides a chip system, which is applied to an electronic device. The chip system includes one or more interface circuits and one or more processors. The interface circuit and the processor are interconnected by a line. The interface circuit is used to receive a signal from a memory of the electronic device and send the signal to the processor, wherein the signal includes a computer instruction stored in the memory. When the processor of the electronic device executes the computer instruction, the electronic device executes each step performed by the electronic device in the method flow shown in the above method embodiment.

[0186] In another embodiment of the present application, a computer program product is provided. The computer program product includes computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes each step executed by the electronic device in the method flow shown in the above method embodiment.

[0187] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer execution instruction is loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instruction can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instruction can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that can be accessed by the computer or a data storage device such as a server, data center, etc. that contains one or more servers that can be integrated with the medium. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), etc.

[0188] The above is only a specific implementation of the present application. Those skilled in the art may conceive of changes or substitutions based on the specific implementation provided by the present application, which should all be included in the protection scope of the present application.

Claims

1. A license plate number association method, characterized in that: include: Get the first license plate number; Searching for a license plate number that differs from the first license plate number by N digits from the pre-stored plurality of license plate numbers, where N is a positive integer; If at least one second license plate number is found from the pre-stored multiple license plate numbers and differs from the first license plate number by N digits, then according to the credibility of the first license plate number and the credibility of each of the second license plate numbers, the comprehensive credibility corresponding to each of the second license plate numbers is determined; Determine whether the comprehensive credibility corresponding to each of the second license plate numbers meets a preset credibility condition, and obtain a determination result; According to the judgment result, it is determined whether the first license plate number and the second license plate number represent the same vehicle.

2. The method according to claim 1, characterized in that The searching for a license plate number that differs from the first license plate number by N digits from the pre-stored multiple license plate numbers includes: Searching among the plurality of pre-stored license plate numbers whether there is a license plate number that differs from the first license plate number by i digits, where i is a positive integer; If there is a license plate number that differs from the first license plate number by i digits, i is N; In the case that there is no license plate number that differs from the first license plate number by i digits, a search is performed to determine whether there is a license plate number that differs from the first license plate number by i+1 digits, until i+1 reaches a preset value; wherein, during the first search, i is 1.

3. The method according to claim 1, characterized in that Determining the comprehensive credibility corresponding to each of the second license plate numbers according to the credibility of the first license plate number and the credibility of each of the second license plate numbers includes: For each of the second license plate numbers, the comprehensive credibility corresponding to the second license plate number is determined based on the credibility of the first license plate number and the credibility of the second license plate number, the same character positions in the first license plate number and the second license plate number, and the credibility coefficient corresponding to each character position in the license plate number.

4. The method according to claim 1, characterized in that: The preset credibility condition includes: the comprehensive credibility is within a preset credibility range; The determining, based on the judgment result, whether the first license plate number and the second license plate number represent the same vehicle includes: If the judgment result indicates that there is a third license plate number in the second license plate number and the comprehensive credibility corresponding to the third license plate number is within the preset credibility range, it is determined that the third license plate number and the first license plate number represent the same vehicle.

5. The method according to claim 4, characterized in that The determining, based on the judgment result, whether the first license plate number and the second license plate number represent the same vehicle further includes: If the judgment result indicates that the comprehensive credibility of the plurality of fourth license plate numbers in the second license plate number is within the preset credibility range, then obtaining the vehicle capture information corresponding to each of the plurality of fourth license plate numbers and the first vehicle capture information corresponding to the first license plate number; If the vehicle captured information corresponding to the fifth license plate number among the multiple fourth license plate numbers has the highest similarity to the first vehicle captured information, it is determined that the first license plate number and the fifth license plate number represent the same vehicle.

6. The method according to claim 5, characterized in that The method further comprises: If there is a sixth license plate number representing the same vehicle as the fifth license plate number, determining that the number of identical characters between the sixth license plate number and the fifth license plate number is a first value, and the number of identical characters between the fifth license plate number and the first license plate number is a second value; When the first value is greater than the second value, determining that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is greater than the possibility that the fifth license plate number and the first license plate number represent the same vehicle; When the first value is equal to the second value, determining the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is equal to the possibility that the fifth license plate number and the first license plate number represent the same vehicle; When the first value is smaller than the second value, it is determined that the possibility that the sixth license plate number and the fifth license plate number represent the same vehicle is smaller than the possibility that the fifth license plate number and the first license plate number represent the same vehicle.

7. A license plate number association device, characterized in that: include: An acquisition module, used for acquiring a first license plate number; A processing module, used to search for a license plate number that differs from the first license plate number by N digits from the pre-stored multiple license plate numbers, where N is a positive integer; The processing module is further configured to determine the comprehensive credibility corresponding to each second license plate number according to the credibility of the first license plate number and the credibility of each second license plate number if at least one second license plate number is found to differ from the first license plate number by N digits from the pre-stored multiple license plate numbers; The processing module is also used to determine whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition, and obtain a determination result; The processing module is further configured to determine, based on the determination result, whether the first license plate number and the second license plate number represent the same vehicle.

8. The device according to claim 7, characterized in that The processing module is specifically used to: search from the pre-stored multiple license plate numbers whether there is a license plate number that differs from the first license plate number by i digits, i being a positive integer; if there is a license plate number that differs from the first license plate number by i digits, i is N; if there is no license plate number that differs from the first license plate number by i digits, search whether there is a license plate number that differs from the first license plate number by i+1 digits, until i+1 reaches a preset value; wherein, during the first search, i is 1; The processing module is specifically used to: for each second license plate number, determine the comprehensive credibility corresponding to the second license plate number based on the credibility of the first license plate number and the credibility of the second license plate number, the same character positions in the first license plate number and the second license plate number, and the credibility coefficient corresponding to each character position in the license plate number; The preset credibility condition includes: the comprehensive credibility is within a preset credibility range; the processing module is specifically used to: if the judgment result indicates that there is a third license plate number in the second license plate number and the comprehensive credibility corresponding to the third license plate number is within the preset credibility range, then determine that the third license plate number and the first license plate number represent the same vehicle; The acquisition module is further configured to, if the judgment result indicates that there are multiple fourth license plate numbers in the second license plate number and the comprehensive credibility corresponding to the multiple fourth license plate numbers is within the preset credibility range, obtain the vehicle capture information corresponding to each of the multiple fourth license plate numbers and the first vehicle capture information corresponding to the first license plate number; the processing module is further configured to, if the vehicle capture information corresponding to the fifth license plate number among the multiple fourth license plate numbers has the highest similarity with the first vehicle capture information, determine that the first license plate number and the fifth license plate number represent the same vehicle; The processing module is also used for: if there is a sixth license plate number and the fifth license plate number representing the same vehicle, determining that the number of identical characters between the sixth license plate number and the fifth license plate number is a first value, and the number of identical characters between the fifth license plate number and the first license plate number is a second value; when the first value is greater than the second value, determining that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is greater than the possibility of the fifth license plate number and the first license plate number representing the same vehicle; when the first value is equal to the second value, determining that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is equal to the possibility of the fifth license plate number and the first license plate number representing the same vehicle; when the first value is less than the second value, determining that the possibility of the sixth license plate number and the fifth license plate number representing the same vehicle is less than the possibility of the fifth license plate number and the first license plate number representing the same vehicle.

9. A license plate number association system, characterized in that: It includes a collection device and an electronic device, wherein a communication connection is established between the collection device and the electronic device; The collection device is used to collect the license plate number of the vehicle and send the collected license plate number to the electronic device; The electronic device is used to receive a first license plate number; search for a license plate number that differs from the first license plate number by N digits from the pre-stored plurality of license plate numbers, where N is a positive integer; The electronic device is further configured to determine the comprehensive credibility corresponding to each of the second license plate numbers according to the credibility of the first license plate number and the credibility of each of the second license plate numbers, if at least one second license plate number differs from the first license plate number by N digits from the pre-stored multiple license plate numbers; The electronic device is further used to determine whether the comprehensive credibility corresponding to each second license plate number meets a preset credibility condition, and obtain a determination result; The electronic device is further used to determine, based on the judgment result, whether the first license plate number and the second license plate number represent the same vehicle.

10. An electronic device, characterized in that: include: one or more processors; one or more memories; Wherein, the one or more memories are used to store computer program codes, and the computer program codes include computer instructions. When the one or more processors execute the computer instructions, the electronic device executes the license plate number association method described in any one of claims 1 to 6.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer executes the license plate number association method according to any one of claims 1 to 6.

Images