CN114495028A - Vehicle fake plate identification method and device, electronic equipment and storage medium - Google Patents
Vehicle fake plate identification method and device, electronic equipment and storage medium Download PDFInfo
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- CN114495028A CN114495028A CN202210072684.0A CN202210072684A CN114495028A CN 114495028 A CN114495028 A CN 114495028A CN 202210072684 A CN202210072684 A CN 202210072684A CN 114495028 A CN114495028 A CN 114495028A
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- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
Abstract
The application discloses a vehicle fake plate identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring vehicles to be detected passing through each acquisition place, and extracting license plate information corresponding to the vehicles to be detected; determining vehicles to be detected which pass through different collection places within preset time and have the same license plate information as a candidate vehicle combination, wherein the candidate vehicle combination at least comprises two vehicles with the same vehicle information; determining the driving parameters of each vehicle in the candidate vehicle combination at the target acquisition place; and determining that the fake-licensed vehicle exists in the candidate vehicle combination under the condition that the driving parameters fall into the preset parameter range. The method used by the embodiment of the application determines whether the fake-licensed vehicles exist or not by determining the vehicles to be detected which pass through different collection places within the preset time and have the same license plate information as the candidate vehicle combination and calculating the driving parameters of the candidate vehicle combination, so that the identification efficiency of the fake-licensed vehicles is improved.
Description
Technical Field
The present application relates to the field of information identification technologies, and in particular, to a method and an apparatus for identifying a vehicle fake plate, an electronic device, and a storage medium.
Background
The fake-licensed vehicle means that lawless persons forge and illegally obtain the number plate, model and color of the real-licensed vehicle, so that the surface of the vehicle which is smuggled, assembled, scrapped and stolen is covered with a 'legal' coat. The fake-licensed vehicle not only seriously interferes the management and control of public security authorities on public security, and makes social instability factors, but also damages the legal rights and interests of real vehicle owners. How to effectively identify fake-licensed vehicles is a problem which needs to be solved urgently at present.
Some solutions have been proposed in the prior art to solve the problem of identifying the fake-licensed vehicles, and on the one hand, these solutions employ complex mathematical models, such as deep machine learning, random forest, convolutional neural network, and the like, which are complex in actual operation.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the application provides a vehicle fake plate identification method, a vehicle fake plate identification device, an electronic device and a storage medium.
According to an aspect of an embodiment of the present application, there is provided a vehicle fake-license plate identification method, including:
acquiring vehicles to be detected passing through each acquisition place, and extracting license plate information corresponding to the vehicles to be detected;
determining vehicles to be detected which pass through different collection places within preset time and have the same license plate information as a candidate vehicle combination, wherein the candidate vehicle combination at least comprises two vehicles with the same vehicle information;
determining the driving parameters of each vehicle in the candidate vehicle combination at a target acquisition place, wherein the target acquisition place is an acquisition place corresponding to the vehicle in the candidate vehicle combination;
and determining that the fake-licensed vehicle exists in the candidate vehicle combination under the condition that the driving parameters fall into the preset parameter range.
Further, the acquiring the to-be-detected vehicles passing through each collection place and extracting the license plate information corresponding to the to-be-detected vehicles includes:
acquiring road images acquired by acquisition equipment deployed in each acquisition place, wherein the road images carry at least one vehicle to be detected;
inputting the road image into a target detection model, so that the target detection model extracts at least one vehicle image from the road image, determines an interested area of the vehicle image, and extracts the license plate information from the interested area.
Further, the determining the driving parameters of each vehicle in the candidate vehicle combination when passing through the collection place includes:
collecting arrival time when each vehicle in the candidate vehicle combination respectively reaches the collection place;
and calculating the time difference of the candidate vehicle combination reaching the acquisition place based on the arrival time, and determining the time difference as the driving parameter.
Further, in the case that the driving parameter falls within a preset parameter range, before determining that there is a fake-licensed target vehicle in the candidate vehicle combination, the method further includes:
acquiring road network information of a current region;
determining the shortest distance between the collection places where the candidate vehicle combination passes based on the road network information;
and calculating the expected passing time of the candidate vehicle combination between the acquisition places according to the preset speed and the shortest distance, and determining the preset parameter range according to the expected passing time.
Further, in the case that the driving parameter falls within a preset parameter range, determining a target vehicle with a fake plate in the candidate vehicle combination includes:
determining a target vehicle in the candidate vehicle combination for which a fake-licensed vehicle exists if the time difference is less than the expected transit time.
Further, after determining that there are fake-licensed vehicles in the candidate vehicle combination, the method further comprises:
determining the candidate vehicle combination of the vehicles with the fake-licensed condition as a target vehicle combination;
sending a monitoring instruction to the target acquisition place, wherein the monitoring instruction is used for controlling target acquisition equipment deployed at the target acquisition place to acquire each vehicle in the target vehicle combination for monitoring;
receiving a monitoring result fed back by the target acquisition equipment, wherein the monitoring result comprises: vehicle direction of travel and vehicle speed of travel;
and executing corresponding processing operation according to the monitoring result.
Further, the executing the corresponding processing operation according to the monitoring result includes:
inquiring at least one candidate investigation place arranged in the vehicle driving direction;
predicting the driving position of each vehicle in the candidate vehicle combination according to the vehicle driving direction;
and determining the candidate investigation place closest to the driving position as a target investigation place, and sending the vehicle information of each vehicle in the candidate vehicle combination to the target investigation place.
According to another aspect of an embodiment of the present application, there is provided a vehicle fake-license identifying apparatus including:
the acquisition module is used for acquiring the vehicles to be detected passing through each acquisition place and extracting the license plate information corresponding to the vehicles to be detected;
the vehicle detection device comprises a selection module, a judgment module and a judgment module, wherein the selection module is used for determining vehicles to be detected which pass through different acquisition places within preset time and have the same license plate information as a candidate vehicle combination, and the candidate vehicle combination at least comprises two vehicles with the same vehicle information;
the determining module is used for determining the driving parameters of each vehicle in the candidate vehicle combination at a target acquisition place, wherein the target acquisition place is an acquisition place corresponding to the vehicle in the candidate vehicle combination;
and the processing module is used for determining that the fake-licensed vehicles exist in the candidate vehicle combination under the condition that the driving parameters fall into the preset parameter range.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program that executes the above steps when the program is executed.
According to another aspect of the embodiments of the present application, there is also provided an electronic apparatus, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein: a memory for storing a computer program; a processor for executing the steps of the method by running the program stored in the memory.
Embodiments of the present application also provide a computer program product containing instructions, which when run on a computer, cause the computer to perform the steps of the above method.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: according to the method, the vehicles to be detected which pass through different collection places within the preset time and have the same license plate information are determined to be the candidate vehicle combination, and the running parameters of the candidate vehicle combination are calculated, so that whether the fake-licensed vehicles exist or not is determined, and the identification efficiency of the fake-licensed vehicles is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a flowchart of a method for identifying a vehicle fake-license plate according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for identifying a vehicle fake-license according to another embodiment of the present application;
fig. 3 is a block diagram of an apparatus for identifying a vehicle fake-license according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments, and the illustrative embodiments and descriptions thereof of the present application are used for explaining the present application and do not constitute a limitation to the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another similar entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiment of the application provides a vehicle fake plate identification method and device, electronic equipment and a storage medium. The method provided by the embodiment of the invention can be applied to any required electronic equipment, for example, the electronic equipment can be electronic equipment such as a server and a terminal, and the method is not particularly limited herein, and is hereinafter simply referred to as electronic equipment for convenience in description.
According to an aspect of embodiments of the present application, there is provided method embodiments of a method of identifying a vehicle fake-license. Fig. 1 is a flowchart of a method for identifying a vehicle fake-license plate according to an embodiment of the present application, where as shown in fig. 1, the method includes:
and step S11, obtaining the vehicles to be detected passing through each collection place, and extracting the license plate information corresponding to the vehicles to be detected.
In the embodiment of the present application, the step S11 of acquiring the to-be-detected vehicles passing through each collection location, and extracting license plate information corresponding to the to-be-detected vehicles includes the following steps a1-a 2:
step A1, acquiring road images acquired by acquisition equipment deployed at each acquisition site, wherein the road images carry at least one vehicle to be detected.
The method provided by the embodiment of the application is applied to the back-end equipment, the back-end equipment can be a server and the like, the back-end equipment is in communication connection with the acquisition equipment deployed in each acquisition place, and the acquisition equipment can comprise: video monitoring equipment, light filling lamp, stroboscopic lamp, lightning protection equipment and crossing intelligent detector etc..
In the embodiment of the application, the back-end device can control the acquisition devices deployed at each acquisition location to periodically acquire the road to obtain the road image, and then determine the vehicles in the road image as the vehicles to be detected.
Step A2, inputting the road image into the target detection model, so that the target detection model extracts at least one vehicle image from the road image, determines the region of interest of the vehicle image, and extracts the license plate information from the region of interest.
In the embodiment of the application, the road image is input into the target detection model, the target detection model firstly extracts at least one vehicle image from the road image, and each vehicle image comprises a vehicle to be detected. And determining an interested area in the vehicle image, wherein the interested area can be a vehicle head area or a vehicle tail area, and then extracting license plate information of the vehicle to be detected based on the interested area, wherein the license plate information comprises: license plate color, license plate number, etc.
It should be noted that the target detection model adopted in the embodiment of the present application may be a convolutional neural network model, and the training process of the target detection model is as follows: the method comprises the steps of obtaining a sample image and label information corresponding to the sample image, wherein the sample image comprises license plate information, and the label information is used for marking license plate characteristics and information types of the license plate information corresponding to the license plate characteristics. And then inputting the sample image and the label information into a convolutional neural network model so that the convolutional neural network model learns the corresponding relation between the license plate characteristics and the information types to obtain a target detection model.
Step S12, determining vehicles to be detected which pass through different collection places within preset time and have the same license plate information as a candidate vehicle combination, wherein the candidate vehicle combination at least comprises two vehicles with the same vehicle information.
In the embodiment of the application, the back-end equipment can obtain a plurality of license plate information from a plurality of vehicle images acquired from different acquisition places. Therefore, the rear-end equipment can pass through different collection places within preset time, and the vehicles to be detected with the same license plate information are determined as candidate vehicle combinations. It should be noted that, in the embodiment of the present application, the vehicles to be detected that pass through different collection locations within the preset time and have the same license plate information are determined as the candidate vehicle combination by obtaining, so as to determine the vehicles that may have the fake plate.
Step S13, determining the driving parameters of each vehicle in the candidate vehicle combination at the target collection location, wherein the target collection location is the collection location corresponding to the vehicle in the candidate vehicle combination.
In the embodiment of the application, the step S13 of determining the driving parameters of each vehicle in the candidate vehicle combination when passing through the collection point includes the following steps B1-B2:
and step B1, acquiring the arrival time of each vehicle in the candidate vehicle combination when the vehicle respectively reaches the acquisition place.
In the embodiment of the application, after determining the candidate vehicle combination, the back-end device queries the arrival time of each vehicle in the candidate vehicle combination to the acquisition place. Specifically, the back-end device may determine the acquisition time as the arrival time by acquiring the acquisition time of the vehicle image corresponding to each vehicle in the candidate vehicle combination.
And step B2, calculating the time difference of the candidate vehicle combination reaching the acquisition place based on the arrival time, and determining the time difference as the driving parameter.
In the embodiment of the application, since at least two vehicles with the same vehicle information are included in the candidate vehicle combination, the time difference can be calculated according to the arrival time of each vehicle in the candidate vehicle combination at the acquisition place within the preset time, and the time difference is determined as the driving parameter.
As one example, the candidate vehicle combination includes vehicle a and vehicle B, where the arrival time of vehicle a at collection point M is T1, and the arrival time of vehicle B at collection point N is T2, and then the time difference is calculated based on T1 and T2.
And step S14, determining that the fake-licensed vehicle exists in the candidate vehicle combination under the condition that the driving parameter falls into the preset parameter range.
In the embodiment of the present application, after obtaining the driving parameter, the driving parameter is compared with a preset parameter range, so as to determine whether there is a fake-licensed vehicle in the candidate vehicle combination, and therefore, in a case that the driving parameter falls within the preset parameter range, before determining a target vehicle in the candidate vehicle combination in which a fake-licensed vehicle exists, it is further required to determine the preset parameter range, which specifically includes the following steps B1-B3:
and step B1, obtaining the road network information of the current area.
And step B2, determining the shortest distance between the collection places where the candidate vehicle combination passes through based on the road network information.
And step B3, calculating the predicted passing time of the candidate vehicle combination between the collection places according to the preset speed and the shortest distance, and determining the preset parameter range according to the predicted passing time.
In the embodiment of the application, road network information of a current region is determined, wherein the current region is a region to which each acquisition place belongs. And determining the shortest distance between the collection places where the candidate vehicle combination passes based on the road network information, then calculating the predicted passing time of the candidate vehicle combination between the collection places based on the preset speed and the shortest distance, and then determining the preset parameter range according to the predicted passing time.
As an example, based on the road network information of the current region, the shortest distance between the collection location M and the collection location N where the vehicle passes in the candidate vehicle combination is determined to be 0.5km based on the road network information, and the predicted passing time is calculated to be 50s based on the shortest distance 0.5km and the preset speed 20M/s, and then the predicted passing time is taken as the upper limit of the preset parameter range, and the obtained preset parameter range is [0,25s ].
In the embodiment of the present application, in the case where the driving parameter falls within the preset parameter range, the step S14 of determining the target vehicle with the fake plate in the candidate vehicle combination includes: and in the case that the time difference is smaller than the predicted passing time, determining the target vehicle with the fake plate in the candidate vehicle combination.
As one example, when the time difference is less than or equal to the estimated communication time, it is determined that the travel parameter falls within the preset parameter range, and it is determined that there is a fake-licensed target vehicle in the candidate vehicle combination. On the contrary, if the time difference is larger than the expected communication time, it is determined that the running parameter does not fall within the preset parameter range, and it is determined that there is no fake-licensed target vehicle in the candidate vehicle combination.
The method used by the embodiment of the application determines whether the fake-licensed vehicles exist or not by determining the vehicles to be detected which pass through different collection places within the preset time and have the same license plate information as the candidate vehicle combination and calculating the driving parameters of the candidate vehicle combination, so that the identification efficiency of the fake-licensed vehicles is improved.
In an embodiment of the present application, after determining that there is a fake-licensed vehicle in the candidate vehicle combination, as shown in fig. 2, the method further includes:
in step S21, the candidate vehicle combination in which the fake-licensed vehicle exists is determined as the target vehicle combination.
And step S22, sending a monitoring instruction to the target acquisition site, wherein the monitoring instruction is used for controlling the target acquisition equipment deployed at the target acquisition site to acquire each vehicle in the target vehicle combination for monitoring.
In the embodiment of the application, after determining that the fake-licensed vehicles exist, the back-end device determines the candidate vehicle combination in which the fake-licensed vehicles exist as the target vehicle combination, and sends a monitoring instruction to a target collection place, wherein the target collection place is a collection place located in a driving direction corresponding to the vehicle in the target vehicle combination. The vehicle information of the vehicles in the target vehicle combination is included in the monitoring instruction, so that the target collection equipment deployed at the target collection place can monitor the vehicles in the target vehicle combination.
Step S23, receiving a monitoring result fed back by the target acquisition device, where the monitoring result includes: vehicle travel direction and vehicle travel speed.
In this application embodiment, target acquisition equipment can monitor its corresponding monitoring area after receiving the monitoring instruction, if monitor the vehicle in the target vehicle combination, then feedback the monitoring result to back end equipment, and the monitoring result includes: the direction of travel of the vehicle in the target vehicle combination and the speed of travel of the vehicle.
And step S24, executing corresponding processing operation according to the monitoring result.
In the embodiment of the present application, step S24, executing corresponding processing operations according to the monitoring result, includes the following steps C1-C3:
and step C1, inquiring at least one candidate investigation point set in the driving direction of the vehicle.
Step C2, the travel position of each vehicle in the candidate vehicle combination is predicted from the vehicle travel direction.
And step C3, determining the candidate investigation place closest to the driving position as a target investigation place, and sending the vehicle information of each vehicle in the target vehicle combination to the target investigation place.
In the embodiment of the application, after receiving the monitoring result, the back-end device queries a plurality of candidate investigation places deployed in the vehicle traveling direction in the monitoring result, predicts the traveling positions of each vehicle in the candidate vehicle combination according to the vehicle traveling speed, and determines the investigation place closest to the traveling position as the candidate investigation place. The screening site may be a checkpoint. After the target investigation location is determined, the rear-end equipment sends the information of each vehicle in the target vehicle combination to the target investigation location, so that the target investigation location can intercept and investigate the vehicles in the target vehicle combination in advance.
Fig. 3 is a block diagram of an identification apparatus for a vehicle fake-license plate, which may be implemented as part of or all of an electronic device through software, hardware or a combination of the two according to an embodiment of the present application. As shown in fig. 3, the apparatus includes:
the acquisition module 31 is configured to acquire the to-be-detected vehicles passing through each collection location, and extract license plate information corresponding to the to-be-detected vehicles;
the selection module 32 is configured to determine vehicles to be detected, which pass through different collection locations within a preset time and have the same license plate information, as a candidate vehicle combination, where the candidate vehicle combination at least includes two vehicles having the same vehicle information;
the determining module 33 is configured to determine driving parameters of each vehicle in the candidate vehicle combination at a target collection location, where the target collection location is a collection location corresponding to the vehicle in the candidate vehicle combination;
and the processing module 34 is used for determining that the fake-licensed vehicles exist in the candidate vehicle combination under the condition that the driving parameters fall into the preset parameter range.
In the embodiment of the present application, the obtaining module 31 is configured to obtain a road image collected by collecting equipment deployed in each collecting location, where the road image carries at least one vehicle to be detected; the road image is input into a target detection model, so that the target detection model extracts at least one vehicle image from the road image, determines an interested area of the vehicle image, and extracts license plate information from the interested area.
In the embodiment of the present application, the determining module 33 is configured to acquire the arrival time when each vehicle in the candidate vehicle combination respectively reaches the acquisition location; and calculating the time difference of the candidate vehicle combination reaching the acquisition place based on the arrival time, and determining the time difference as the driving parameter.
In the embodiment of the present application, the identification device for a vehicle fake plate further includes: the calculation module is used for acquiring road network information of the current region; determining the shortest distance between the collection places where the candidate vehicle combination passes based on the road network information; and calculating the expected passing time of the candidate vehicle combination between the acquisition places according to the preset speed and the shortest distance, and determining the range of preset parameters according to the expected passing time.
In the embodiment of the present application, the processing module 34 is configured to determine a target vehicle with a fake-licensed target vehicle in the candidate vehicle combination if the time difference is smaller than the expected transit time.
In the embodiment of the application, the identification device for the vehicle fake plate further comprises: the monitoring module is used for determining the candidate vehicle combination with the fake-licensed vehicles as a target vehicle combination; sending a monitoring instruction to a target acquisition place, wherein the monitoring instruction is used for controlling target acquisition equipment deployed at the target acquisition place to acquire each vehicle in a target vehicle combination for monitoring; receiving a monitoring result fed back by the target acquisition equipment, wherein the monitoring result comprises: vehicle direction of travel and vehicle speed of travel; and executing corresponding processing operation according to the monitoring result.
In an embodiment of the application, the monitoring module is used for inquiring at least one candidate investigation place arranged in the driving direction of the vehicle; predicting the driving position of each vehicle in the candidate vehicle combination according to the driving direction of the vehicle; and determining candidate investigation places closest to the driving position as target investigation places, and sending vehicle information of each vehicle in the target vehicle combination to the target investigation places.
According to the method and the device, the vehicles to be detected which pass through different collection places within the preset time and have the same license plate information are determined to be the candidate vehicle combination, and the driving parameters of the candidate vehicle combination are calculated, so that whether the fake-licensed vehicles exist or not is determined, and the identification efficiency of the fake-licensed vehicles is improved.
An embodiment of the present application further provides an electronic device, as shown in fig. 4, the electronic device may include: a processor 1501, a communication interface 1502, a memory 1503 and a communication bus 1504, wherein the processor 1501, the communication interface 1502 and the memory 1503 complete communication with each other through the communication bus 1504.
A memory 1503 for storing a computer program;
the processor 1501 is configured to implement the steps of the above embodiments when executing the computer program stored in the memory 1503.
The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In yet another embodiment provided by the present application, there is also provided a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to perform the method for identifying a vehicle deck as described in any of the above embodiments.
In yet another embodiment provided herein, there is also provided a computer program product containing instructions that, when run on a computer, cause the computer to perform the method of identifying a vehicle deck as described in any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may 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. The procedures or functions described in accordance with the embodiments of the application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk), among others.
The above description is only for the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of identifying a vehicle fake plate, comprising:
acquiring vehicles to be detected passing through each acquisition place, and extracting license plate information corresponding to the vehicles to be detected;
determining vehicles to be detected which pass through different collection places within preset time and have the same license plate information as a candidate vehicle combination, wherein the candidate vehicle combination at least comprises two vehicles with the same vehicle information;
determining the driving parameters of each vehicle in the candidate vehicle combination at a target acquisition place, wherein the target acquisition place is an acquisition place corresponding to the vehicle in the candidate vehicle combination;
and determining that the fake-licensed vehicle exists in the candidate vehicle combination under the condition that the driving parameters fall into the preset parameter range.
2. The method according to claim 1, wherein the acquiring the to-be-detected vehicles passing through each collection location and extracting the license plate information corresponding to the to-be-detected vehicles comprises:
acquiring road images acquired by acquisition equipment deployed in each acquisition place, wherein the road images carry at least one vehicle to be detected;
inputting the road image into a target detection model, so that the target detection model extracts at least one vehicle image from the road image, determines an interested area of the vehicle image, and extracts the license plate information from the interested area.
3. The method of claim 1, wherein said determining driving parameters for each vehicle in the candidate vehicle combination as it passes the collection site comprises:
collecting arrival time when each vehicle in the candidate vehicle combination respectively reaches the collection place;
and calculating the time difference of the candidate vehicle combination reaching the acquisition place based on the arrival time, and determining the time difference as the driving parameter.
4. The method according to claim 3, wherein before determining a target vehicle of the candidate vehicle combination for which a fake-licensed condition exists in the case where the driving parameter falls within a preset parameter range, the method further comprises:
acquiring road network information of a current region;
determining the shortest distance between the collection places where the candidate vehicle combination passes based on the road network information;
and calculating the expected passing time of the candidate vehicle combination between the acquisition places according to the preset speed and the shortest distance, and determining the preset parameter range according to the expected passing time.
5. The method of claim 4, wherein determining a target vehicle in the candidate vehicle combination for which a fake-licensed vehicle exists in the case that the driving parameter falls within a preset parameter range comprises:
determining a target vehicle in the candidate vehicle combination for which a fake-licensed vehicle exists if the time difference is less than the expected transit time.
6. The method of claim 1, wherein after determining that there are fake-licensed vehicles in the candidate vehicle combination, the method further comprises:
determining the candidate vehicle combination of the vehicles with the fake-licensed condition as a target vehicle combination;
sending a monitoring instruction to the target acquisition place, wherein the monitoring instruction is used for controlling target acquisition equipment deployed at the target acquisition place to acquire each vehicle in the target vehicle combination for monitoring;
receiving a monitoring result fed back by the target acquisition equipment, wherein the monitoring result comprises: vehicle direction of travel and vehicle speed of travel;
and executing corresponding processing operation according to the monitoring result.
7. The method according to claim 6, wherein the performing the corresponding processing operation according to the monitoring result comprises:
inquiring at least one candidate investigation place arranged in the vehicle driving direction;
predicting the driving position of each vehicle in the candidate vehicle combination according to the vehicle driving direction;
and determining the candidate investigation place closest to the driving position as a target investigation place, and sending the vehicle information of each vehicle in the candidate vehicle combination to the target investigation place.
8. An apparatus for identifying a vehicle fake plate, comprising:
the acquisition module is used for acquiring the vehicles to be detected passing through each acquisition place and extracting the license plate information corresponding to the vehicles to be detected;
the vehicle detection device comprises a selection module, a judgment module and a judgment module, wherein the selection module is used for determining vehicles to be detected which pass through different acquisition places within preset time and have the same license plate information as a candidate vehicle combination, and the candidate vehicle combination at least comprises two vehicles with the same vehicle information;
the determining module is used for determining the driving parameters of each vehicle in the candidate vehicle combination at a target acquisition place, wherein the target acquisition place is an acquisition place corresponding to the vehicle in the candidate vehicle combination;
and the processing module is used for determining that the fake-licensed vehicle exists in the candidate vehicle combination under the condition that the driving parameters fall into the preset parameter range.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program is operative to perform the method steps of any of the preceding claims 1 to 7.
10. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus; wherein:
a memory for storing a computer program;
a processor for performing the method steps of any of claims 1-7 by executing a program stored on a memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210072684.0A CN114495028A (en) | 2022-01-21 | 2022-01-21 | Vehicle fake plate identification method and device, electronic equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115601974A (en) * | 2022-09-29 | 2023-01-13 | 广州天长信息技术有限公司（Cn） | Method and device for determining fake-licensed vehicles on expressway |
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