CN108932846A - A kind of licence plate recognition method, equipment and computer readable storage medium - Google Patents
A kind of licence plate recognition method, equipment and computer readable storage medium Download PDFInfo
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- CN108932846A CN108932846A CN201710364689.XA CN201710364689A CN108932846A CN 108932846 A CN108932846 A CN 108932846A CN 201710364689 A CN201710364689 A CN 201710364689A CN 108932846 A CN108932846 A CN 108932846A
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- G—PHYSICS
- 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
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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Abstract
The invention proposes a kind of licence plate recognition method, equipment and computer readable storage medium, this method includes：Judge matched second vehicle monitor information of the first vehicle monitor information that whether there is in preset first database with obtain in real time；If it is determined that in the first database storage, there are second vehicle monitor informations, then are based on second vehicle monitor information and first vehicle monitor information, judge whether the speed of the corresponding vehicle of first vehicle monitor information is more than given threshold；If being more than the given threshold, prompting the vehicle is fake license plate vehicle；Otherwise second vehicle monitor information is replaced with into first vehicle monitor information.The present invention can effectively to traffic system, collected magnanimity vehicle monitoring image be handled in real time in real time, is carried out real-time judge to fake license plate vehicle, is effectively carried out early warning to fake license plate vehicle, effectively increase the investigation efficiency and processing speed of fake license plate vehicle.
Description
Technical field
The present invention relates to technical field of transportation more particularly to a kind of licence plate recognition methods, equipment and computer-readable storage
Medium.
Background technique
In road monitoring field, there is large number of monitoring camera especially in public transportation system, in city, this
A little cameras are all the time all in the license board information for passing monitoring back in real time.Available data computing technique cannot be constantly quick at these
Calculating analysis is carried out in the magnanimity license board information of accumulation, fake-licensed car is monitored in real time.
The traditional database of stream calculation technology and current mainstream processing computing technique and offline batch processing computing technique have very
It is different.Compared with the computing technique of traditional database processing, traditional data base management system (DBMS, DataBase
Management System) it is not quickly continuously to store individual data cell and design, and do not support
Lasting processing, and persistently handle be data flow application characteristic feature.Compared with offline batch processing computing technique, offline batch processing
Although can match with the application scenarios of big data processing, it is to operate static data, task by scheduling batch tasks
It is not resident service, data are also not real-time inflow, are not suitable for the higher application scenarios of requirement of real-time.And stream calculation is full
Sufficient big data application background, and extensive flow-data can be divided in real time in continually changing motion process well
Analysis.
Summary of the invention
The technical problem to be solved by the present invention is to provide a kind of licence plate recognition method, equipment and computer-readable storage medium
Matter, overcoming cannot carry out whether the real-time judge license plate is deck to the collected license board information of monitoring camera in the prior art
The defect of vehicle.
The technical solution adopted by the present invention is that a kind of licence plate recognition method, including：
Judge the first vehicle monitor information matched second that whether there is in preset first database with obtain in real time
Vehicle monitor information；
If it is determined that in the first database storage, there are second vehicle monitor informations, then are based on second vehicle
Monitoring information and first vehicle monitor information, judge whether the speed of the corresponding vehicle of first vehicle monitor information surpasses
Cross given threshold；Otherwise first vehicle monitor information is stored to the first database；
If being more than the given threshold, prompting the vehicle is fake license plate vehicle；Otherwise second vehicle monitoring is believed
Breath replaces with first vehicle monitor information.
Further, the first vehicle monitoring that whether there is in the preset first database of the judgement and obtain in real time
Before second vehicle monitor information of information matches, the method also includes：
Traffic image is acquired by all traffic monitoring cameras in real time；
Real-time image analysis identification is carried out to each traffic image, obtains first vehicle monitor information.
Further, real-time image analysis identification is carried out to each traffic image described, obtains first vehicle
After monitoring information, the method also includes：
First vehicle monitor information is sent to preset message queue.
Further, first vehicle monitor information includes：License board information；
First vehicle monitor information for judging to whether there is in preset first database with obtain in real time is matched
Second vehicle monitor information, including：
Obtain first vehicle monitor information in the preset message queue；
It whether there is first vehicle according to the vehicle monitor information stored in the preset first database of real-time stream calculation
License board information in monitoring information judges in the first database with the presence or absence of the second vehicle monitor information；
If there are the license plates in first vehicle monitor information for the vehicle monitor information stored in the first database
Information then determines that there are second vehicle monitor informations in the first database storage；
Otherwise determine that there is no second vehicle monitor informations in the first database storage.
Further, first vehicle monitor information further includes：Monitoring period and monitored address；The second vehicle prison
Controlling information includes：Monitoring period and monitored address；
It is described to be based on second vehicle monitor information and first vehicle monitor information, judge the first vehicle prison
Whether the speed for controlling the corresponding vehicle of information is more than given threshold, including：
Based on the monitoring period and monitored address and second vehicle monitor information in first vehicle monitor information
In monitoring period and monitored address, calculate the speed of the corresponding vehicle of first vehicle monitor information；
Whether the speed for judging the corresponding vehicle of first vehicle monitor information is more than given threshold.
Further, in judging preset first database with the presence or absence of the first vehicle monitor information for obtaining in real time it
Before, the method also includes：
All vehicle monitor informations that will acquire are stored to the first database.
Further, in the case where prompting the vehicle is fake license plate vehicle, the method also includes：
The corresponding all vehicle monitor informations of the fake license plate vehicle are stored to the second preset database, so that user is logical
It crosses and inquires the corresponding all vehicle monitor informations of the second database acquisition fake license plate vehicle.
Further, the method also includes：
Delete all vehicle monitor informations for setting in the first database and storing before duration.
The present invention also provides a kind of car license recognition equipment, the car license recognition equipment includes processor and memory；
The processor is used to execute the program of the Car license recognition stored in memory, to realize above-mentioned Car license recognition side
The step of method.
The present invention also provides a kind of computer readable storage mediums, which is characterized in that the computer readable storage medium
It is stored with one or more program, one or more of programs can be executed by one or more processor, to realize
The step of above-mentioned licence plate recognition method.
By adopting the above technical scheme, the present invention at least has following advantages：
A kind of licence plate recognition method, equipment and computer readable storage medium of the present invention, can be effectively to traffic
Collected magnanimity vehicle monitoring image is handled system in real time in real time, carries out real-time judge to fake license plate vehicle, effective right
Fake license plate vehicle carries out early warning, effectively increases the investigation efficiency and processing speed of fake license plate vehicle.
Detailed description of the invention
Fig. 1 is the licence plate recognition method flow chart of first embodiment of the invention；
Fig. 2 is the licence plate recognition method flow chart of second embodiment of the invention；
Fig. 3 is the licence plate recognition method flow chart of third embodiment of the invention；
Fig. 4 is the Vehicle License Plate Recognition System composed structure schematic diagram of fourth embodiment of the invention；
Fig. 5 is the licence plate recognition method schematic diagram of fourth embodiment of the invention；
Fig. 6 is the licence plate recognition method flow chart of fourth embodiment of the invention；
Fig. 7 is the car license recognition equipment composed structure schematic diagram of sixth embodiment of the invention.
Specific embodiment
Further to illustrate the present invention to reach the technical means and efficacy that predetermined purpose is taken, below in conjunction with attached drawing
And preferred embodiment, the present invention is described in detail as after.
First embodiment of the invention, a kind of licence plate recognition method, as shown in Figure 1, including step in detail below：
Step S101 judges the first vehicle monitor information that whether there is in preset first database with obtain in real time
The second vehicle monitor information matched；
Optionally, step S101, including：
First vehicle monitor information, including：License board information；
It is supervised according to the vehicle monitor information stored in the preset first database of real-time stream calculation with the presence or absence of the first vehicle
The license board information in information is controlled, is judged in first database with the presence or absence of the second vehicle monitor information；
If the vehicle monitor information stored in first database is sentenced there are the license board information in the first vehicle monitor information
Determine first database storage in there are the second vehicle monitor informations；
Otherwise determine that the second vehicle monitor information is not present in first database storage.
By the first vehicle monitor information obtained in real time, and by being stored in the preset first database of real-time stream calculation
Vehicle monitor information with the presence or absence of the license board information in the first vehicle monitor information, can be in real time to the magnanimity vehicle of acquisition
Monitoring information is quickly handled, and the processing speed of vehicle monitor information is effectively raised.
Step S102 is then supervised based on the second vehicle if it is determined that there are the second vehicle monitor informations in first database storage
Information and the first vehicle monitor information are controlled, judges whether the speed of the corresponding vehicle of the first vehicle monitor information is more than setting threshold
Value；Otherwise the first vehicle monitor information is stored to first database.
Optionally, step S102, including：
First vehicle monitor information further includes：Monitoring period and monitored address；
Second vehicle monitor information includes：Monitoring period and monitored address；
If it is determined that in first database storage, there are the second vehicle monitor informations, based on the prison in the first vehicle monitor information
Time and monitored address and monitoring period and monitored address in the second vehicle monitor information are controlled, the first vehicle monitoring letter is calculated
Cease the speed of corresponding vehicle；
Whether the speed for judging the corresponding vehicle of the first vehicle monitor information is more than given threshold；
Otherwise the first vehicle monitor information is stored to first database.
According to the monitoring period and monitored address in vehicle monitor information twice, it is corresponding that vehicle monitor information is calculated in real time
Car speed, when car speed exceeds unreasonable range, which is determined as fake license plate vehicle.
Step S103, if being more than given threshold, prompting vehicle is fake license plate vehicle；Otherwise the second vehicle monitor information is replaced
It is changed to the first vehicle monitor information.
It can effectively be the vehicle that obtain in real time later by storing the first vehicle monitor information to first database
Monitoring information provides judgment basis and speed calculation basis, realizes real-time quick vehicle fake-license inquiry.
A kind of licence plate recognition method described in first embodiment of the invention can effectively collect traffic system in real time
Magnanimity vehicle monitoring image handled in real time, real-time judge is carried out to fake license plate vehicle, effectively fake license plate vehicle is carried out pre-
Alert prompt, effectively increases the investigation efficiency and processing speed of fake license plate vehicle.
Second embodiment of the invention, a kind of licence plate recognition method, as shown in Fig. 2, including step in detail below：
Step S201, all vehicle monitor informations that will acquire are stored to first database.
Optionally, step S201, including：
Traffic image is acquired by all traffic monitoring cameras；
Each traffic image is identified into image analysis, obtains all vehicle monitor informations；
All vehicle monitor informations are stored to first database.
Optionally, step S201, including：
Traffic image is acquired by all traffic monitoring cameras；
Each traffic image is identified into image analysis, obtains all vehicle monitor informations；
All vehicle monitor informations are stored to first database Redis.
Redis be open source write using ANSI C language, support network, it is memory-based also can persistence log
Type, Key-Value (key assignments) database
Step S202 acquires traffic image by all traffic monitoring cameras in real time；Each traffic image is carried out real
When image analysis identify, obtain the first vehicle monitor information.
Image analysis identification is carried out by obtaining traffic image in real time, and according to traffic image, obtains the first vehicle monitoring
Information realizes the extract real-time of vehicle monitor information.
First vehicle monitor information is sent to preset message queue by step S203.
Optionally, step S203, including：
First vehicle monitor information is sent to preset kafka cluster message queue.
Kafka is that a kind of distributed post of high-throughput subscribes to message system, and kafka cluster message queue is capable of handling
The everything flow data of consumer's scale.The purpose of Kafka cluster message queue is by the parallel of Hadoop (Hai Doupu)
Load mechanism carrys out unified message processing, also for providing real-time consumption by cluster.
Step S204 judges the first vehicle monitor information that whether there is in preset first database with obtain in real time
The second vehicle monitor information matched.
Optionally, step S204, including：
First vehicle monitor information includes：License board information；
Obtain the first vehicle monitor information in preset message queue；
It is supervised according to the vehicle monitor information stored in the preset first database of real-time stream calculation with the presence or absence of the first vehicle
The license board information in information is controlled, is judged in first database with the presence or absence of the second vehicle monitor information；
If the vehicle monitor information stored in first database is sentenced there are the license board information in the first vehicle monitor information
Determine first database storage in there are the second vehicle monitor informations；
Otherwise determine that the second vehicle monitor information is not present in first database storage.
Optionally, step S204, including：
First vehicle monitor information includes：License board information；
Obtain the first vehicle monitor information in preset kafka cluster message queue；
According to the vehicle monitor information stored in the preset first database Redis of the real-time stream calculation of Storm system whether
There are the license board information in the first vehicle monitor information, judge to believe in first database Redis with the presence or absence of the second vehicle monitoring
Breath；
If there are the license plate letters in the first vehicle monitor information for the vehicle monitor information stored in first database Redis
Breath then determines that there are the second vehicle monitor informations in first database Redis storage；
Otherwise determine that the second vehicle monitor information is not present in first database Redis storage.
Wherein, Storm system is distributed, fault-tolerant real time computation system；Storm system guarantees that each message can
It is handled, and it is quickly in a small cluster, it is per second to can handle millions of message.
It can be realized the real-time processing of magnanimity vehicle monitor information by Storm system.
By the first vehicle monitor information obtained in real time, and by being stored in the preset first database of real-time stream calculation
Vehicle monitor information with the presence or absence of the license board information in the first vehicle monitor information, can be in real time to the magnanimity vehicle of acquisition
Monitoring information is quickly handled, and the processing speed of vehicle monitor information is effectively raised.
Step S205 is then supervised based on the second vehicle if it is determined that there are the first vehicle monitor informations in first database storage
Information and the first vehicle monitor information are controlled, judges whether the speed of the corresponding vehicle of the first vehicle monitor information is more than setting threshold
Value；Otherwise the first vehicle monitor information is stored to first database.
Optionally, step S205, including：
First vehicle monitor information further includes：Monitoring period and monitored address；Second vehicle monitor information includes：When monitoring
Between and monitored address；
If it is determined that in first database storage, there are the first vehicle monitor informations, then based in the first vehicle monitor information
Monitoring period and monitored address and monitoring period and monitored address in the second vehicle monitor information calculate the first vehicle monitoring
The speed of the corresponding vehicle of information；
Whether the speed for judging the corresponding vehicle of the first vehicle monitor information is more than given threshold；
Otherwise the first vehicle monitor information is stored to first database.
Optionally, step S205, including：
First vehicle monitor information further includes：Monitoring period and monitored address；Second vehicle monitor information includes：When monitoring
Between and monitored address；
If it is determined that in first database storage, there are the first vehicle monitor informations, then based in the first vehicle monitor information
Monitoring period and monitored address and monitoring period and monitored address in the second vehicle monitor information calculate the first vehicle monitoring
The speed of the corresponding vehicle of information；
Whether the speed for judging the corresponding vehicle of the first vehicle monitor information is more than given threshold；
Otherwise the first vehicle monitor information is stored to first database Redis.
According to the monitoring period and monitored address in vehicle monitor information twice, it is corresponding that vehicle monitor information is calculated in real time
Car speed, when car speed exceeds unreasonable range, which is determined as fake license plate vehicle.
Step S206, if being more than given threshold, prompting vehicle is fake license plate vehicle；Otherwise the second vehicle monitor information is replaced
It is changed to the first vehicle monitor information.
Optionally, step S206, including：
If being more than given threshold, prompting vehicle is fake license plate vehicle；Otherwise the second vehicle monitor information is replaced with first
Vehicle monitor information.
It can effectively be the vehicle that obtain in real time later by storing the first vehicle monitor information to first database
Monitoring information provides judgment basis and speed calculation basis, realizes real-time quick vehicle fake-license inquiry.
Step S207 stores the corresponding all vehicle monitor informations of fake license plate vehicle to the second preset database, for
User obtains the corresponding all vehicle monitor informations of fake license plate vehicle by the second database of inquiry.
Optionally, step S207, including：
The corresponding all vehicle monitor informations of fake license plate vehicle are stored to the second preset database Hbase, for user
The corresponding all vehicle monitor informations of fake license plate vehicle are obtained by the second database Hbase of inquiry.
HBase is a PostgreSQL database distributed, towards column.
By storing the corresponding all vehicle monitor informations of fake license plate vehicle to the second preset database, use can be simplified
The operating procedure of the corresponding all vehicle monitor informations of fake license plate vehicle is inquired at family, effectively raises search efficiency.
Step S208 deletes all vehicle monitor informations stored before setting duration in first database.
Optionally, step S208, including：
Delete all vehicle monitor informations stored before setting duration in first database Redis.
By deleting all vehicle monitor informations stored before setting duration in first database, can effectively control
The capacity of first database improves the judging efficiency of fake license plate vehicle, reduces amount of calculation, improves calculating speed.
A kind of licence plate recognition method described in second embodiment of the invention can effectively collect traffic system in real time
Magnanimity vehicle monitoring image handled in real time, real-time judge is carried out to fake license plate vehicle, effectively fake license plate vehicle is carried out pre-
Alert prompt, effectively increases the investigation efficiency and processing speed of fake license plate vehicle.
Third embodiment of the invention, the present embodiment are on the basis of the above embodiments, by taking licence plate recognition method as an example, to tie
It closes attached drawing 3 and introduces an application example of the invention.
Step S301 obtains monitoring photo captured by the monitoring camera at each crossing in traffic system.
Step S302 identifies monitoring picture by the engine of real-time image analysis, obtains the vehicle in monitoring picture
Monitoring information；Wherein, vehicle monitor information includes but is not limited to：Monitoring period, monitored address, license board information, vehicle attribute
Information etc..
Vehicle monitor information is sent to Kafka cluster message queue by step S303；
Vehicle monitor information in Kafka cluster message queue is sent to Storm by step S304.
Step S305 carries out real-time streams calculation processing by Storm system.
Step S306 is taken out the vehicle monitor information in Kafka cluster message queue by Storm system one by one.
Step S307 is supervised vehicle monitor information with the vehicle in key-value database Redis by Storm system
Control information is matched.
Step S308, if vehicle monitor information in database Redis there are the license board information in the vehicle monitor information,
And be not belonging to the same monitored address, then according to the calculation of longitude & latitude of monitored address distance and the time difference of monitoring period,
And then the speed of vehicle is calculated, when being more than pre-set velocity, then it is assumed that the corresponding vehicle of the vehicle monitor information is fake-licensed car, is deposited
Enter inside Hbase table.
Step S309, if vehicle monitor information in database Redis there are the license board information in the vehicle monitor information,
Then the vehicle monitor information is stored in database Redis；If there are the license plates in vehicle monitor information in database Redis
Information, then more vehicle monitor information present in new database Redis.
Vehicle present in step S3010, the vehicle monitor information more new database Redis got by Storm system
Monitoring information.
Step S3011 guarantees the data for retaining certain time recently in database Redis always using time window algorithm.
Step S3012 obtains the corresponding vehicle monitor information of real-time fake-licensed car by inquiry Hbase table.
A kind of licence plate recognition method described in third embodiment of the invention can effectively collect traffic system in real time
Magnanimity vehicle monitoring image handled in real time, real-time judge is carried out to fake license plate vehicle, effectively fake license plate vehicle is carried out pre-
Alert prompt, effectively increases the investigation efficiency and processing speed of fake license plate vehicle.
Fourth embodiment of the invention, the present embodiment are on the basis of the above embodiments, by taking licence plate recognition method as an example, to tie
It closes attached drawing 4~6 and introduces an application example of the invention.
Step S401 will be real-time in road traffic road network by each road monitoring camera in road traffic road network
Collected vehicle photo is sent to the police service data receiver platform of public security system.
Step S402, when to receive each road monitoring camera collected for the police service data receiver platform of public security system
When vehicle photo, vehicle photo is sent to the real-time identification system of fake-licensed car based on stream calculation.
Step S403 handles vehicle by the real-time identification system stream calculation of fake-licensed car based on preset image recognition model
Photo obtains vehicle monitor information；Wherein, vehicle monitor information includes but is not limited to：Monitoring period, monitored address, license plate letter
Breath, vehicle attribute information etc..
Vehicle monitor information is sent to Kafka cluster message queue by step S404；
Step S405, Storm system takes out vehicle monitor information from Kafka cluster message queue；
Step S406 is stored from taking out in vehicle monitor information and first database Redis in Kafka cluster message queue
Vehicle monitor information calculating is compared, judge whether the license board information in vehicle monitor information is fake-licensed car；If vehicle is supervised
The license board information controlled in information is fake-licensed car, then is recorded in the second database Hbase；
Step S407 updates first database Redis in conjunction with sliding window algorithm；
The corresponding vehicle monitor information of the fake-licensed car of acquisition is pushed to police service alarm platform, done for the police by step S408
Case provides convenience.
A kind of licence plate recognition method described in fourth embodiment of the invention can effectively collect traffic system in real time
Magnanimity vehicle monitoring image handled in real time, real-time judge is carried out to fake license plate vehicle, effectively fake license plate vehicle is carried out pre-
Alert prompt, effectively increases the investigation efficiency and processing speed of fake license plate vehicle.
Fifth embodiment of the invention, a kind of computer readable storage medium.
Computer storage medium can be RAM memory, flash memory, ROM memory, eprom memory, EEPROM storage
Device, register, hard disk, mobile hard disk, CD-ROM or any other form known in the art storage medium.
Computer-readable recording medium storage has one or more program, one or more program can by one or
The multiple processors of person execute, with realize first embodiment of the invention into fourth embodiment of the invention in any embodiment part or
Overall Steps.
A kind of computer readable storage medium described in fifth embodiment of the invention is stored with the knowledge of one or more license plate
Other program, can effectively to traffic system, collected magnanimity vehicle monitoring image is handled in real time in real time, to fake-licensed car
Carry out real-time judge, effectively to fake license plate vehicle carry out early warning, effectively increase investigation efficiency and the place of fake license plate vehicle
Manage speed.
Sixth embodiment of the invention, a kind of car license recognition equipment, as shown in fig. 7, comprises consisting of part：
Processor 110 and memory 109.In some embodiments of the invention, these components can by bus or its
Its mode connects.
Processor 110 can be general processor, such as central processing unit (Central Processing Unit,
CPU), it can also be digital signal processor (Digital Signal Processor, DSP), specific integrated circuit (English：
Application Specific Integrated Circuit, ASIC), or be arranged to implement the embodiment of the present invention
One or more integrated circuits.Wherein, memory is used to store the executable instruction of the processor；
Memory 109 is transferred to processor 110 for storing program code, and by the program code.Memory 109 can
To include volatile memory (Volatile Memory), such as random access memory (Random Access Memory,
RAM)；Memory 109 also may include nonvolatile memory (Non-Volatile Memory), such as read-only memory
(Read-Only Memory, ROM), flash memory (Flash Memory), hard disk (Hard Disk Drive, HDD) or solid
State hard disk (Solid-State Drive, SSD)；Memory 109 can also include the combination of the memory of mentioned kind.
Wherein, the program code management code that processor 110 is used to that the memory 109 to be called to store, executes the present invention
First embodiment into fourth embodiment of the invention in any embodiment part or Overall Steps.
A kind of car license recognition equipment described in sixth embodiment of the invention can effectively collect traffic system in real time
Magnanimity vehicle monitoring image handled in real time, real-time judge is carried out to fake license plate vehicle, effectively fake license plate vehicle is carried out pre-
Alert prompt, effectively increases the investigation efficiency and processing speed of fake license plate vehicle.
By the explanation of specific embodiment, the present invention can should be reached technological means that predetermined purpose is taken and
Effect is able to more deeply and specifically understand, however appended diagram is only to provide reference and description and is used, and is not used to this
Invention limits.
Claims (10)
1. a kind of licence plate recognition method, which is characterized in that including：
Judge matched second vehicle of the first vehicle monitor information that whether there is in preset first database with obtain in real time
Monitoring information；
If it is determined that in the first database storage, there are second vehicle monitor informations, then are based on second vehicle monitoring
Information and first vehicle monitor information judge whether the speed of the corresponding vehicle of first vehicle monitor information is more than to set
Determine threshold value；Otherwise first vehicle monitor information is stored to the first database；
If being more than the given threshold, prompting the vehicle is fake license plate vehicle；Otherwise second vehicle monitor information is replaced
It is changed to first vehicle monitor information.
2. the method according to claim 1, wherein whether there is in the preset first database of the judgement
With before matched second vehicle monitor information of the first vehicle monitor information that obtains in real time, the method also includes：
Traffic image is acquired by all traffic monitoring cameras in real time；
Real-time image analysis identification is carried out to each traffic image, obtains first vehicle monitor information.
3. according to the method described in claim 2, it is characterized in that, carrying out realtime graphic to each traffic image described
Analysis identification, after obtaining first vehicle monitor information, the method also includes：
First vehicle monitor information is sent to preset message queue.
4. according to the method described in claim 3, it is characterized in that, first vehicle monitor information includes：License board information；
The first vehicle monitor information matched second that whether there is in the preset first database of the judgement and obtain in real time
Vehicle monitor information, including：
Obtain first vehicle monitor information in the preset message queue；
It is supervised according to the vehicle monitor information stored in the preset first database of real-time stream calculation with the presence or absence of first vehicle
The license board information in information is controlled, is judged in the first database with the presence or absence of the second vehicle monitor information；
If the vehicle monitor information stored in the first database there are the license board information in first vehicle monitor information,
Then determine that there are second vehicle monitor informations in the first database storage；
Otherwise determine that there is no second vehicle monitor informations in the first database storage.
5. according to the method described in claim 4, it is characterized in that, first vehicle monitor information further includes：Monitoring period
And monitored address；Second vehicle monitor information includes：Monitoring period and monitored address；
It is described to be based on second vehicle monitor information and first vehicle monitor information, judge the first vehicle monitoring letter
Whether the speed for ceasing corresponding vehicle is more than given threshold, including：
Based in the monitoring period and monitored address and second vehicle monitor information in first vehicle monitor information
Monitoring period and monitored address calculate the speed of the corresponding vehicle of first vehicle monitor information；
Whether the speed for judging the corresponding vehicle of first vehicle monitor information is more than given threshold.
6. the method according to claim 1, wherein with the presence or absence of real-time in judging preset first database
Before the first vehicle monitor information obtained, the method also includes：
All vehicle monitor informations that will acquire are stored to the first database.
7. the method according to claim 1, wherein in the case where prompting the vehicle is fake license plate vehicle, institute
The method of stating further includes：
The corresponding all vehicle monitor informations of the fake license plate vehicle are stored to the second preset database, so that user is by looking into
It askes second database and obtains the corresponding all vehicle monitor informations of the fake license plate vehicle.
8. the method according to claim 1, wherein the method also includes：
Delete all vehicle monitor informations for setting in the first database and storing before duration.
9. a kind of car license recognition equipment, which is characterized in that the car license recognition equipment includes processor and memory；
The processor is used to execute the program of the Car license recognition stored in memory, to realize any one of claim 1~8
The step of described licence plate recognition method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage have one or
Multiple programs, one or more of programs can be executed by one or more processor, to realize in claim 1~8
The step of described in any item licence plate recognition methods.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710364689.XA CN108932846A (en) | 2017-05-22 | 2017-05-22 | A kind of licence plate recognition method, equipment and computer readable storage medium |
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| CN201710364689.XA CN108932846A (en) | 2017-05-22 | 2017-05-22 | A kind of licence plate recognition method, equipment and computer readable storage medium |
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| CN108932846A true CN108932846A (en) | 2018-12-04 |
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| CN (1) | CN108932846A (en) |
Cited By (4)
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