CN111368868A - Method, device and equipment for determining vehicle fake plate - Google Patents
Method, device and equipment for determining vehicle fake plate Download PDFInfo
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Abstract
The application provides a method, a device and equipment for determining vehicle fake-licensed. The method comprises the following steps: the method comprises the steps of obtaining a first track set corresponding to a first vehicle license plate number, obtaining license plate sets corresponding to any two adjacent track information in the first track set aiming at any two adjacent track information, carrying out similarity comparison on the license plate sets corresponding to any two adjacent track information, determining whether the first vehicle has a license plate overlapping behavior according to a similarity comparison result, obtaining a similarity result of the vehicle sets by comparing vehicle sets of bayonets which are passed by the first vehicle license plate in the first track set at adjacent time, determining whether the first vehicle has the license plate overlapping behavior, and achieving efficient identification on whether the first vehicle license plate has the license plate overlapping behavior in big data.
Description
Technical Field
The application relates to the technical field of traffic big data, in particular to a method, a device and equipment for determining a vehicle fake plate.
Background
With the continuous increase of the vehicle holding quantity, the illegal behaviors of vehicle registration are increased gradually, the vehicle registration is the license plate of other people, the registered vehicle is the cloned vehicle, the vehicle is a fake plate with the same number and is sleeved on the vehicle with the same model and color according to the model and color of the real-card vehicle, and the vehicle registration brings great economic loss and safety hazard to the owner and the society of the real-card vehicle.
In the prior art, whether a fake-licensed vehicle exists in a vehicle is mostly determined based on a vehicle management library, license plates of all motor vehicles and corresponding vehicle information, such as vehicle colors, vehicle types, vehicle brands and the like, are stored in the vehicle management library, the number of the license plate of each motor vehicle is collected and recognized through monitoring equipment, the license plate number of each motor vehicle is compared with the vehicle information of the license plate number stored in the vehicle management library, and if the number of the license plate of each motor vehicle is the same but the vehicle information does not accord with the information stored in the vehicle management library, the motor vehicle is determined to be a fake-licensed vehicle.
However, in practical application, because the monitoring device inevitably has a probability of misidentification in the process of identifying vehicles, and because the amount of data to be identified by the monitoring device is large, many fake-licensed vehicles identified by the method are misidentified vehicles, and the number of the identified license plate of the vehicle is compared with huge data stored in a vehicle management library, which is time-consuming and visible.
Disclosure of Invention
The application provides a method, a device and equipment for determining vehicle fake-licensed, which are used for efficiently and accurately confirming whether fake-licensed behaviors exist or not based on acquired vehicle passing data of a plurality of checkpoints.
In a first aspect, the present application provides a method of determining a vehicle deck, comprising:
acquiring a first track set corresponding to a first vehicle license plate number, wherein the first track set comprises a plurality of track information which are sequenced in time sequence, the track information comprises gate information and time when a first vehicle passes a gate, and the first vehicle is a vehicle provided with the first vehicle license plate number;
aiming at any two adjacent track information in the first track set, acquiring license plate sets corresponding to the any two adjacent track information respectively, wherein the license plate sets comprise at least one license plate number passing through the same gate along with the first vehicle, and performing similarity comparison on the license plate sets corresponding to the any two adjacent track information respectively;
and determining whether the first vehicle has a fake plate behavior according to the similarity comparison result.
In a specific implementation manner, the determining whether the first vehicle has a fake-licensed behavior according to the similarity comparison result includes:
if the number of times that the intersection of the vehicle license plate numbers between the license plate sets corresponding to any two adjacent track information in the first track set is zero is greater than a preset threshold value, determining that the first vehicle has a license plate overtaking behavior;
otherwise, determining that the first vehicle does not have the fake plate behavior.
Further, the method further comprises:
obtaining a vehicle passing set according to vehicle passing data collected by a plurality of checkpoints arranged in a preset area, wherein the vehicle passing data comprises the number and time of a vehicle card passing through each checkpoint, and the vehicle passing set comprises checkpoint information of the plurality of checkpoints and vehicle passing data corresponding to each checkpoint;
the acquiring of the first track set corresponding to the first vehicle license plate number includes:
obtaining a plurality of track information corresponding to the first vehicle license plate number according to the vehicle passing set and the first vehicle license plate number;
and sequencing the plurality of track information in a time sequence to obtain the first track set.
Further, the method further comprises:
and acquiring a plurality of license plate sets according to the vehicle passing sets, wherein each license plate set comprises a regular time, a checkpoint information and a vehicle license plate number of at least one vehicle of which the regular time passes through a checkpoint corresponding to the checkpoint information, and the regular time is used for representing a time period to which the time of the vehicle passing through the checkpoint belongs.
Optionally, before obtaining license plate sets corresponding to any two adjacent pieces of track information, the method further includes:
comparing the time difference between any two adjacent track information with a preset interval threshold;
and if the time difference of two adjacent track information is smaller than the interval threshold, acquiring license plate sets respectively corresponding to any two adjacent track information.
In a second aspect, the present application provides an apparatus for determining a vehicle deck, the apparatus comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring a first track set corresponding to a first vehicle license plate number, the first track set comprises a plurality of track information which are sequenced in a time sequence, the track information comprises gate information and time when a first vehicle passes through each gate, and the first vehicle is a vehicle provided with the first vehicle license plate number;
the processing module is used for acquiring license plate sets corresponding to any two adjacent track information in the first track set respectively according to the any two adjacent track information, wherein the license plate sets comprise at least one license plate number passing through the same gate along with the first vehicle, and similarity comparison is carried out on the license plate sets corresponding to any two adjacent track information respectively;
the processing module is further used for determining whether the first vehicle has a fake plate behavior according to the similarity comparison result.
In a specific implementation manner, the processing module is specifically configured to:
if the number of times that the intersection of the vehicle license plate numbers between the license plate sets corresponding to any two adjacent track information in the first track set is zero is greater than a preset threshold value, determining that the first vehicle has a license plate overtaking behavior;
otherwise, it is determined that no shuffling behavior exists.
Further, the processing module is further configured to: obtaining a vehicle passing set according to vehicle passing data collected by a plurality of checkpoints arranged in a preset area, wherein the vehicle passing data comprises the number and time of a vehicle card passing through each checkpoint, and the vehicle passing set comprises checkpoint information of the plurality of checkpoints and vehicle passing data corresponding to each checkpoint;
the acquisition module is specifically configured to: obtaining a plurality of track information corresponding to the first vehicle license plate number according to the vehicle passing set and the first vehicle license plate number; and sequencing the plurality of track information in a time sequence to obtain the first track set.
Further, the obtaining module is further configured to:
and acquiring a plurality of license plate sets according to the vehicle passing sets, wherein each license plate set comprises a regular time, a checkpoint information and a vehicle license plate number of at least one vehicle of which the regular time passes through a checkpoint corresponding to the checkpoint information, and the regular time is used for representing a time period to which the time of the vehicle passing through the checkpoint belongs.
Optionally, the processing module is further configured to:
comparing the time difference between any two adjacent track information with a preset interval threshold;
and if the time difference of two adjacent track information is smaller than the interval threshold, acquiring license plate sets respectively corresponding to any two adjacent track information.
In a third aspect, the present application provides an electronic device, comprising: a memory and a processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to cause the processor to perform the method of determining vehicle fake-plates of the first aspect.
In a fourth aspect, the present application provides a storage medium comprising: a readable storage medium and a computer program for implementing the method of determining a vehicle deck of the first aspect.
The method, the device and the equipment for determining the vehicle fake plate provided by the embodiment of the application acquire a first track set corresponding to a first vehicle fake plate number, wherein the first track set comprises a plurality of track information sequenced in a time sequence, the track information comprises gate information and time when a first vehicle passes through each gate, the first vehicle is a vehicle provided with the first vehicle fake plate number, and acquire license plate sets respectively corresponding to any two adjacent track information aiming at any two adjacent track information in the first track set, the license plate sets comprise the first vehicle fake plate number and at least one vehicle fake plate number following the first vehicle and passing through the same gate, similarity comparison is carried out on the license plate sets respectively corresponding to any two adjacent track information, and whether the first vehicle has fake plate behavior is determined according to a similarity comparison result, the vehicle sets of the checkpoints, through which the first vehicle license plate passes at the adjacent time in the first track set, are compared to obtain the result of the similarity of the two vehicle sets, whether the first vehicle has the fake license plate behavior or not is determined, and whether the fake license plate exists or not is efficiently identified in the big data.
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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 introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a schematic flow chart illustrating a first embodiment of a method for determining a vehicle fake-license according to an embodiment of the present disclosure;
FIG. 2 is a schematic flowchart of a second embodiment of a method for determining a vehicle fake-license according to an embodiment of the present disclosure;
FIG. 3 is a schematic flowchart of a third embodiment of a method for determining a vehicle fake-license according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an embodiment of a process for deriving warping time according to an embodiment of the present disclosure;
FIG. 5 is a flowchart illustrating a fourth embodiment of a method for determining a vehicle fake-license according to the present disclosure;
FIG. 6 is a schematic structural diagram of a first embodiment of an apparatus for determining a vehicle fake-license according to an embodiment of the present disclosure;
fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As used herein, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Reference throughout the specification to "one embodiment" or "another embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in this embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The execution subject of the present application is an electronic device, which may be any terminal device with data processing capability, such as a computer, or a server.
According to the method for determining the vehicle fake plate, data processing on a large number of path relations is not needed, the method does not depend on a large number of historical data, and the method is better in real-time performance and is explained through a plurality of specific embodiments.
In this scheme, can set for a province, a city, a business district, or several streets and predetermine the region, in predetermineeing the region, be provided with a plurality of bayonets, set up respectively in a plurality of highway sections in urban road, for example, can set up in the crossing, perhaps, set up in the highway section, every highway section can have one to a plurality of bayonets, every bayonet socket is installed image acquisition device, carries out image acquisition to the vehicle that passes through the bayonet socket, rejects the image that the vehicle tablet number is unclear, records the data of passing the car of gathering, the data of passing the car includes vehicle tablet number and the time through this bayonet socket.
Fig. 1 is a schematic flowchart of a first embodiment of a method for determining a vehicle fake-license plate according to an embodiment of the present application, and as shown in fig. 1, the method for determining a vehicle fake-license plate includes:
s101: and acquiring a first track set corresponding to the first vehicle license plate number.
The first track set comprises a plurality of track information which is sequenced in time sequence, the track information comprises gate information and time when a first vehicle passes through each gate, and the first vehicle is a vehicle provided with the first vehicle license plate number.
Obtaining a first track set corresponding to the first vehicle license number, that is, according to the first vehicle license number, querying in the vehicle passing data of each gate to find out gate information and time of each gate through which the first vehicle passes, optionally, combining the gate information and time of each gate to form track information of the gate, for example, the gate information is represented as ciThe time passing through the bayonet is denoted as tiThen, the gate information and the time are combined into the track information c of the first vehiclei-tiAnd arranging each piece of track information of the found first vehicle according to a time sequence to form a first track set corresponding to the first vehicle, wherein the set of the tracks L1 of the first vehicle is [ c [ ]1-t1，c2-t2，……，ci-ti]The track information composed of each bayonet information and time is one element in the set of tracks L1, wherein the time sequence may be an ascending time sequence or a descending time sequence.
S102: and aiming at any two adjacent track information in the first track set, acquiring license plate sets respectively corresponding to any two adjacent track information, and performing similarity comparison on the license plate sets respectively corresponding to any two adjacent track information.
The license plate set comprises at least one license plate number of a vehicle passing through the same gate along with the first vehicle, optionally, the license plate set corresponding to each track information is obtained, namely, the license plate set is inquired in the vehicle passing data according to the gate information and time of each track information, and the set of the license plate numbers of the vehicles passing through the same gate at the same time or the same time period except the first vehicle is found.
The similarity comparison is carried out on the license plate sets corresponding to the two track information, specifically, whether the license plate sets passing through the two checkpoints have intersection or not is compared under two adjacent time periods, wherein the license plate sets comprise all the vehicle license plate numbers of the following first vehicles passing through the same checkpoints, in some embodiments, the license plate sets comprise the first vehicles passing through the checkpoints and at least one vehicle license plate number of the following first vehicles passing through the same checkpoints, when the license plate sets respectively corresponding to the adjacent track information have intersection or not, the vehicle license plate numbers of the first vehicles need to be removed, and only the vehicle license plate numbers of the following first vehicles in the vehicle license plate number sets passing through the two checkpoints are judged.
In some embodiments, in order to avoid that a first vehicle stays between two gates of track information for a long time, so that the following of the first vehicle in the two gates is obviously changed, and the accuracy of a final similarity comparison result is affected, a time interval between two adjacent track information needs to be confirmed, if the time interval is greater than or equal to a preset interval threshold, the similarity comparison of license plate sets corresponding to the two track information is stopped, and if the time interval is smaller than the preset interval threshold, the similarity comparison of license plate sets corresponding to the two track information is performed.
In a specific implementation manner, the time of two adjacent track information is taken as t1And t2For example, in the set of trajectories L1, t1And t2The corresponding two track information are c1-t1，c2-t2Let t be1And t2The interval time between is less than the interval threshold value, the time t is determined1And t2Respectively combined with corresponding bayonet information to form Key (Key) or time t1And t2Processing is carried out to obtain regular time, the regular time and corresponding bayonet information are combined into keys, for example, Key1 is 0900-cross 1, Key2 is 0900-cross 2, corresponding values (Value) V1 and V2 are searched in a MAP set according to K1 and K2, wherein V1 and V2 are respectively a set of license plate sets, the license plate sets include at least one vehicle plate number which follows a first vehicle to pass through the same bayonet at the same regular time and is also called following vehicle, the vehicle plate numbers of following vehicles in the two sets of V1 and V2 are compared, and whether the intersection of the vehicle plate numbers in the two license plate sets of V1 and V2 is zero or not is determined.
S103: and determining whether the first vehicle has a fake plate behavior according to the similarity comparison result.
After the process described in step S102 is performed on every two adjacent track information in the first track set, a similarity result between one to multiple adjacent track information is obtained, and whether a fake-licensed vehicle exists is determined according to the one to multiple similarity results.
In a specific implementation manner, in the process of performing the step S102 on every two adjacent track information in the first track set, times that an intersection of the vehicle sets corresponding to every two adjacent track information is zero are accumulated, and if the times are greater than a preset threshold, it is determined that the first vehicle has the fake plate behavior, otherwise, it is determined that the first vehicle does not have the fake plate behavior.
The method, the device and the equipment for determining the vehicle fake plate provided by the embodiment of the application acquire a first track set corresponding to a first vehicle fake plate number, wherein the first track set comprises a plurality of track information sequenced in a time sequence, the track information comprises gate information and time when a first vehicle passes through each gate, the first vehicle is a vehicle provided with the first vehicle fake plate number, and acquire license plate sets respectively corresponding to any two adjacent track information aiming at any two adjacent track information in the first track set, the license plate sets comprise the first vehicle fake plate number and at least one vehicle fake plate number following the first vehicle and passing through the same gate, similarity comparison is carried out on the license plate sets respectively corresponding to any two adjacent track information, and whether the first vehicle has fake plate behavior is determined according to a similarity comparison result, the vehicle sets of the checkpoints, through which the first vehicle license plate passes at the adjacent time in the first track set, are compared to obtain the result of the similarity of the two vehicle sets, whether the first vehicle has the fake license plate behavior or not is determined, and whether the fake license plate exists or not is efficiently identified in the big data.
On the basis of the embodiment shown in fig. 1, fig. 2 is a schematic flowchart of a second embodiment of a method for determining a vehicle fake-license plate provided in the embodiment of the present application, and as shown in fig. 2, the method for determining a vehicle fake-license plate further includes:
s201: and obtaining a vehicle passing set according to vehicle passing data acquired by a plurality of bayonets arranged in a preset area.
The vehicle passing data comprises the number of the vehicle cards passing through each gate and the passing time, and the vehicle passing set comprises gate information of a plurality of gates and vehicle passing data corresponding to each gate.
The preset area is a preset or defined area, the size of the area can be set according to the requirements of actual application scenes, for example, a province, a city, a business district or several streets are set as the preset area, a plurality of bayonets are arranged in the preset area and are respectively arranged on a plurality of road sections in urban roads, for example, the preset area can be arranged at an intersection, or the preset area can be arranged in the road sections, each road section can be provided with one or more bayonets, and each bayonet is provided with an image acquisition device.
In this step, the image of the vehicle passing through the gate may be acquired by the image acquisition device disposed at the gate, and the time of image acquisition is recorded, and the image of the vehicle passing through the gate acquired by each gate is processed to obtain the passing data acquired by each gate, where the passing data includes the number of the vehicle passing through each gate and the time of the vehicles passing through the gate, it should be understood that each gate has corresponding gate information, also called gate id, and the gate information and the corresponding passing data are taken as one element of a passing set, for example, the vehicle plate no1 is acquired by the image acquisition device mounted on the gate whose gate information is cross 1 at 9:00 pass through the bayonet, the vehicle plate No2 passes through the bayonet at point 9 and 04, the passing set comprises [ cross 1-plate No1-0900, cross 1-plate No2-0904], and it is understood that the bayonet information, the vehicle brand number and the passing time of each element in the passing set are not sequentially required.
In a specific implementation mode, the image acquisition device performs image acquisition according to a preset time interval or performs image acquisition according to a preset trigger condition, and before information extraction is performed according to the acquired vehicle image, the acquired vehicle image needs to be filtered, for example, an image with fuzzy vehicle license plate number is filtered, or a vehicle image of a host vehicle is lacked. Further, in the recognition of the vehicle image, in order to avoid repeated recognition of the same vehicle license plate number from the plurality of vehicle images, only the vehicle license plate number of the host vehicle in the vehicle image is recognized, and the host vehicle may be a vehicle appearing at a center position in the vehicle image or a vehicle appearing at the forefront of the vehicle image, it is understood that the vehicle traveling to the nearest to the image capturing device is the host vehicle, and the vehicle captured by the image capturing device that passes through the gate within a preset time period before or after the host vehicle is a following vehicle, and the vehicle license plate numbers recognized within the preset time period may be mutually following vehicles.
S202: and obtaining a plurality of track information corresponding to the first vehicle license plate number according to the vehicle passing set and the first vehicle license plate number.
The passing set comprises the corresponding relation among the card port information of each card port, the vehicle license plate number, the passing time and the three. The method comprises the steps of searching or traversing a first vehicle license number in a vehicle passing set to obtain the information of each bayonet where a first vehicle passes through and the time of passing through each bayonet, and correspondingly forming track information by the information of the bayonets passing through each bayonet and the time of passing through the bayonet.
Optionally, in order to ensure the accuracy of similarity comparison, the track information needs to be necessarily screened, and if the number of the gates through which the first vehicle passes is very small, for example, only two gates are passed, the number of the track information corresponding to the first vehicle license plate number is only two, and when the similarity of the following vehicles of the host vehicle is judged, the accuracy of the similarity result is affected, so that when the number of the track information corresponding to the first vehicle license plate number is smaller than a preset track length threshold, one to a plurality of track information corresponding to the first vehicle license plate number is deleted; and when the quantity of the track information corresponding to the first vehicle license plate number is larger than or equal to a preset track length threshold value, keeping a plurality of track information corresponding to the first vehicle license plate number.
Optionally, the preset track length threshold may be 5.
S203: and sequencing the plurality of track information in a time sequence to obtain a first track set.
And sequencing the plurality of track information corresponding to the first vehicle license plate number obtained in the step S202 in a time sequence to obtain a first track set.
It should be understood that in a practical scenario, each vehicle number, including the first vehicle number, corresponds to a set of trajectories.
In a specific implementation manner, assuming that a first vehicle is a place no1 in table 1, arranging trajectory information ci-ti in a time ascending order to obtain ordered trajectory information, splicing bayonet information ci and time ti of the ordered trajectory information into a character string and placing the character string into a trajectory L list corresponding to Key place no1, wherein the data format in the list is [ c1-t1, c2-t2, …., ci-ti ], so as to obtain a first trajectory set, and a trajectory set corresponding to each vehicle license number can be obtained according to the method, as shown in table 1.
| Key | Track L |
| PlateNo1 | [c1-t1,c2-t2,…..,ci-ti] |
| PlateNo2 | [c1-t1,c2-t2,…..,ci-ti] |
| …… | …… |
| PlateNon | [c1-t1,c2-t2,…..,ci-ti] |
TABLE 1
In this embodiment, according to the passing set and the first vehicle license plate number, the plurality of pieces of track information corresponding to the first vehicle license plate number are obtained, and the plurality of pieces of track information are sorted in time sequence to obtain the first track set, so that the similarity comparison is performed according to any two adjacent pieces of track information in the first track set, and the accuracy of the similarity comparison is ensured.
On the basis of the embodiment shown in fig. 1, fig. 3 is a schematic flowchart of a third embodiment of a method for determining a vehicle fake-license plate provided in the embodiment of the present application, and as shown in fig. 3, the method for determining a vehicle fake-license plate further includes:
s301: and obtaining a vehicle passing set according to vehicle passing data acquired by a plurality of bayonets arranged in a preset area.
The vehicle passing data comprises the number of the vehicle cards passing through each gate and the passing time, and the vehicle passing set comprises gate information of a plurality of gates and vehicle passing data corresponding to each gate.
The specific implementation process of this step is similar to step S201, and is not described here again.
S302: and acquiring a plurality of license plate sets according to the vehicle passing sets.
Each license plate set comprises a regulated time, a checkpoint information and a vehicle license plate number of at least one vehicle of which the regulated time passes through a checkpoint corresponding to the checkpoint information, wherein the regulated time is used for representing a time period to which the time of the vehicle passing through the checkpoint belongs.
The vehicle passing set comprises the card port information of a plurality of card ports and vehicle passing data corresponding to each card port, and the vehicle passing data of each card port comprises card port information, vehicle license plate numbers, passing time and the corresponding relation among the three.
In this step, firstly, the elapsed time is normalized to obtain normalized time, and a plurality of data sets are obtained, each data set includes a normalized time, a checkpoint information, and a vehicle license number, for example, all the vehicle-passing data are traversed, the vehicle-passing time (passTime) is taken out, the passTime is normalized according to the position of the passTime in a 1-hour time segment, the segment size is configurable, the segment size is related to the set following time δ t, δ t may be generally 3-5 minutes, the following time is used to indicate how long a vehicle before and after the host vehicle is determined as a following vehicle, and for simplicity of description, fig. 4 is a schematic diagram of an embodiment of the normalized time processing provided by this embodiment, which is divided into 2 segments in 30 minutes, that is 1 hour, and 9: 22 is located in the corresponding segment within 1 hour, the corresponding time is regulated to 9:00, and 0900 is taken as a mark. Next, the regular time and the bayonet information are combined into a character string, for example, 0900-cross 1, which is used as a Key (Key), and a Value (Value) corresponding to the Key is determined according to a corresponding relationship between the bayonet information, the vehicle license plate number, and the elapsed time, where the content of the Value is the vehicle license plate number (placenox is a specific vehicle license plate number), as shown in table 2, and table 2 is only an example.
| Key | Value |
| 0900-crossid1 | plateNo1 |
| 0900-crossid1 | plateNo2 |
| 0900-crossid2 | plateNo1 |
| 0900-crossid2 | plateNo2 |
TABLE 2
And secondly, taking all the vehicle license plate numbers corresponding to the same regular time and the same checkpoint information as a license plate set. It should be understood that each license plate number in the license plate set can be the main vehicle, and when the similarity comparison is performed on the license plate sets corresponding to any two adjacent track information of the first license plate number, the first license plate number in the two license plate sets is removed, and only the similarity comparison is performed on the following vehicles in the two license plate sets.
In the embodiment, the huge vehicle passing data is subjected to rapid data processing to obtain the license plate set corresponding to each track information, so that the obtained license plate set can be applied to rapidly and accurately judge whether the fake plate behavior exists or not, and the data processing efficiency is improved.
On the basis of the foregoing embodiment, fig. 5 is a schematic flowchart of a fourth embodiment of a method for determining a vehicle fake-license plate provided in the embodiment of the present application, and as shown in fig. 5, before acquiring license plate sets corresponding to any two adjacent pieces of track information, the method further includes:
s401: and comparing the time difference of any two adjacent track information with a preset interval threshold value.
In the first track set, any two adjacent track information are traversed, the time interval size in the two adjacent track information is determined, that is, the time difference between the two track information, if the interval time is too large, it indicates that the first vehicle stays for a long time between the two checkpoints corresponding to the two adjacent track information, which easily causes the following vehicles of the first vehicle in the two checkpoints to obviously change, and the accuracy of the final similarity comparison result will be affected.
S402: and if the time difference of two adjacent track information is smaller than the interval threshold, acquiring license plate sets respectively corresponding to any two adjacent track information.
Comparing the time difference between two adjacent track information with a preset interval threshold, when the time difference is greater than the preset interval threshold, not comparing the similarity of the checkpoint information, and if the time difference between two adjacent track information is smaller than the interval threshold, executing license plate sets corresponding to any two adjacent track information respectively, optionally, if the license plate sets comprise a first license plate number, deleting the first license plate number first.
In a specific implementation manner, as can be known from table 1, assuming that the first vehicle license plate number is plate no1, a traversal operation is performed on the first track set corresponding to the plate no1, and data that a time difference in adjacent track information does not satisfy an interval threshold threadN is filtered out, where threadN is a configurable parameter, and optionally, threadN is 5. Specifically, the first track set (the track set corresponding to the plateNo1 in table 1) is traversed, and two adjacent track information are taken to obtain the bayonet information ci and ci+1Time ti, ti+1When t isi+1–ti>the threadT does not acquire the license plate sets corresponding to the two adjacent track information respectively, the following step of comparing the similarity of the license plate information corresponding to the two adjacent track information is skipped, and if t is meti+1–ti<And (4) obtaining license plate sets corresponding to the two adjacent track information respectively by using the threadT.
Fig. 6 is a schematic structural diagram of a first embodiment of an apparatus for determining a vehicle fake-license plate according to an embodiment of the present application, and as shown in fig. 6, the apparatus 10 for determining a vehicle fake-license plate includes:
the acquisition module 11 is configured to acquire a first track set corresponding to a first vehicle license plate number, where the first track set includes a plurality of track information sorted in a time sequence, the track information includes gate information and time when a first vehicle passes through each gate, and the first vehicle is a vehicle on which the first vehicle license plate number is installed;
the processing module 12 is configured to acquire, for any two adjacent track information in the first track set, license plate sets corresponding to the any two adjacent track information, where each license plate set includes at least one license plate number passing through the same gate along with the first vehicle, and perform similarity comparison on the license plate sets corresponding to the any two adjacent track information;
the processing module 12 is further configured to determine whether a fake-licensed behavior exists in the first vehicle according to the similarity comparison result.
The device 10 for determining the vehicle fake plate provided by the embodiment of the application comprises: the obtaining module 11 and the processing module 12 are configured to, by obtaining a first track set corresponding to a first vehicle license plate number, where the first track set includes a plurality of track information sorted in a time sequence, the track information includes checkpoint information and time when the first vehicle passes through each checkpoint, the first vehicle is a vehicle on which the first vehicle license plate number is installed, and obtains license plate sets corresponding to any two adjacent track information in the first track set, respectively, where the license plate sets include the first vehicle license plate number and at least one vehicle license plate number following the first vehicle and passing through the same checkpoint, perform similarity comparison on the license plate sets corresponding to any two adjacent track information, determine whether the first vehicle has a fake plate behavior according to a similarity comparison result, and compare the vehicle sets of the checkpoints where the first vehicle license plate passes through in the first track set at adjacent time, the result of the similarity of the two vehicle sets is obtained, whether the first vehicle has the fake plate behavior or not is determined, and whether the fake plate behavior of the first vehicle exists or not is effectively identified in the big data.
In one possible design, the processing module 12 is specifically configured to:
if the number of times that the intersection of the vehicle license plate numbers between the license plate sets corresponding to any two adjacent track information in the first track set is zero is greater than a preset threshold value, determining that the first vehicle has a license plate overtaking behavior;
otherwise, it is determined that no shuffling behavior exists.
In a possible design, the processing module 12 is further configured to obtain a vehicle passing set according to vehicle passing data collected by a plurality of checkpoints set in a preset area, where the vehicle passing data includes a number of a vehicle passing through each checkpoint and time, and the vehicle passing set includes checkpoint information of the plurality of checkpoints and vehicle passing data corresponding to each checkpoint;
the obtaining module 11 is specifically configured to: obtaining a plurality of track information corresponding to the first vehicle license plate number according to the vehicle passing set and the first vehicle license plate number;
and sequencing the plurality of track information in a time sequence to obtain the first track set.
In one possible design, the obtaining module 11 is further configured to:
and acquiring a plurality of license plate sets according to the vehicle passing sets, wherein each license plate set comprises a regular time, a checkpoint information and a vehicle license plate number of at least one vehicle of which the regular time passes through a checkpoint corresponding to the checkpoint information, and the regular time is used for representing a time period to which the time of the vehicle passing through the checkpoint belongs.
In one possible design, the processing module 11 is further configured to:
comparing the time difference between any two adjacent track information with a preset interval threshold;
and if the time difference of two adjacent track information is smaller than the interval threshold, acquiring license plate sets respectively corresponding to any two adjacent track information.
The device for determining the vehicle fake plate provided by this embodiment may execute the technical solutions of the above method embodiments, and the implementation principle and technical effects are similar, which are not described herein again.
An electronic device is further provided in the embodiment of the present application, as shown in fig. 7, the embodiment of the present application is only described with reference to fig. 7 as an example, and the present application is not limited thereto.
Fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application. As shown in fig. 7, the electronic device 20 provided in the present embodiment may include: a memory 201, a processor 202; optionally, a bus 203 may also be included. The bus 203 is used to realize connection between the elements.
The memory 201 stores computer-executable instructions;
the processor 202 executes computer-executable instructions stored by the memory 201 to cause the processor to perform a method of determining a vehicle deck as provided in any of the preceding embodiments.
Wherein, the memory 201 and the processor 202 are electrically connected directly or indirectly to realize the data transmission or interaction. For example, these components may be electrically connected to each other via one or more communication buses or signal lines, such as via bus 203. The memory 201 stores computer-executable instructions for implementing the data access control method, including at least one software functional module that can be stored in the memory 201 in the form of software or firmware, and the processor 202 executes various functional applications and data processing by running software programs and modules stored in the memory 201.
The Memory 201 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 201 is used for storing programs, and the processor 202 executes the programs after receiving the execution instructions. Further, the software programs and modules in the memory 201 may also include an operating system, which may include various software components and/or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components.
The processor 202 may be an integrated circuit chip having signal processing capabilities. The Processor 202 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and so on. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. It will be appreciated that the configuration of fig. 7 is merely illustrative and may include more or fewer components than shown in fig. 7 or have a different configuration than shown in fig. 7. The components shown in fig. 7 may be implemented in hardware and/or software.
The embodiment of the application also provides a computer-readable storage medium, on which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the method for determining the vehicle fake plate provided by any one of the method embodiments can be implemented.
The computer-readable storage medium in this embodiment may 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 is integrated with one or more available media, and the available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., SSDs), etc.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (12)
1. A method of determining a vehicle deck, comprising:
acquiring a first track set corresponding to a first vehicle license plate number, wherein the first track set comprises a plurality of track information which are sequenced in time sequence, the track information comprises gate information and time when a first vehicle passes a gate, and the first vehicle is a vehicle provided with the first vehicle license plate number;
aiming at any two adjacent track information in the first track set, acquiring license plate sets corresponding to the any two adjacent track information respectively, wherein the license plate sets comprise at least one license plate number passing through the same gate along with the first vehicle, and performing similarity comparison on the license plate sets corresponding to the any two adjacent track information respectively;
and determining whether the first vehicle has a fake plate behavior according to the similarity comparison result.
2. The method of claim 1, wherein determining whether the first vehicle has a fake-licensed behavior based on the similarity comparison comprises:
if the number of times that the intersection of the vehicle license plate numbers between the license plate sets corresponding to any two adjacent track information in the first track set is zero is greater than a preset threshold value, determining that the first vehicle has a license plate overtaking behavior;
otherwise, determining that the first vehicle does not have the fake plate behavior.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
obtaining a vehicle passing set according to vehicle passing data collected by a plurality of checkpoints arranged in a preset area, wherein the vehicle passing data comprises the number and time of a vehicle card passing through each checkpoint, and the vehicle passing set comprises checkpoint information of the plurality of checkpoints and vehicle passing data corresponding to each checkpoint;
the acquiring of the first track set corresponding to the first vehicle license plate number includes:
obtaining a plurality of track information corresponding to the first vehicle license plate number according to the vehicle passing set and the first vehicle license plate number;
and sequencing the plurality of track information in a time sequence to obtain the first track set.
4. The method of claim 3, further comprising:
and acquiring a plurality of license plate sets according to the vehicle passing sets, wherein each license plate set comprises a regular time, a checkpoint information and a vehicle license plate number of at least one vehicle of which the regular time passes through a checkpoint corresponding to the checkpoint information, and the regular time is used for representing a time period to which the time of the vehicle passing through the checkpoint belongs.
5. The method according to claim 1 or 2, wherein before acquiring the license plate sets corresponding to any two adjacent pieces of track information, the method further comprises:
comparing the time difference between any two adjacent track information with a preset interval threshold;
and if the time difference of two adjacent track information is smaller than the interval threshold, acquiring license plate sets respectively corresponding to any two adjacent track information.
6. An apparatus for determining a vehicle deck, the apparatus comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring a first track set corresponding to a first vehicle license plate number, the first track set comprises a plurality of track information which are sequenced in a time sequence, the track information comprises gate information and time when a first vehicle passes through each gate, and the first vehicle is a vehicle provided with the first vehicle license plate number;
the processing module is used for acquiring license plate sets corresponding to any two adjacent track information in the first track set respectively according to the any two adjacent track information, wherein the license plate sets comprise at least one license plate number passing through the same gate along with the first vehicle, and similarity comparison is carried out on the license plate sets corresponding to any two adjacent track information respectively;
the processing module is further used for determining whether the first vehicle has a fake plate behavior according to the similarity comparison result.
7. The apparatus of claim 6, wherein the processing module is specifically configured to:
if the number of times that the intersection of the vehicle license plate numbers between the license plate sets corresponding to any two adjacent track information in the first track set is zero is greater than a preset threshold value, determining that the first vehicle has a license plate overtaking behavior;
otherwise, it is determined that no shuffling behavior exists.
8. The method according to claim 6 or 7,
the processing module is further configured to: obtaining a vehicle passing set according to vehicle passing data collected by a plurality of checkpoints arranged in a preset area, wherein the vehicle passing data comprises the number and time of a vehicle card passing through each checkpoint, and the vehicle passing set comprises checkpoint information of the plurality of checkpoints and vehicle passing data corresponding to each checkpoint;
the acquisition module is specifically configured to: obtaining a plurality of track information corresponding to the first vehicle license plate number according to the vehicle passing set and the first vehicle license plate number; and sequencing the plurality of track information in a time sequence to obtain the first track set.
9. The method of claim 8, wherein the obtaining module is further configured to:
and acquiring a plurality of license plate sets according to the vehicle passing sets, wherein each license plate set comprises a regular time, a checkpoint information and a vehicle license plate number of at least one vehicle of which the regular time passes through a checkpoint corresponding to the checkpoint information, and the regular time is used for representing a time period to which the time of the vehicle passing through the checkpoint belongs.
10. The method of claim 6 or 7, wherein the processing module is further configured to:
comparing the time difference between any two adjacent track information with a preset interval threshold;
and if the time difference of two adjacent track information is smaller than the interval threshold, acquiring license plate sets respectively corresponding to any two adjacent track information.
11. An electronic device, comprising: a memory and a processor;
the memory stores computer-executable instructions;
the processor executing the computer-executable instructions stored by the memory causes the processor to perform the method of determining vehicle decks as claimed in any of claims 1 to 5.
12. A storage medium, comprising: readable storage medium and computer program for implementing the method of determining a vehicle deck of any one of claims 1 to 5.
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