CN107909659A - A kind of wisdom curb parking charging method based on wireless video sensor network - Google Patents
A kind of wisdom curb parking charging method based on wireless video sensor network Download PDFInfo
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- CN107909659A CN107909659A CN201711077134.3A CN201711077134A CN107909659A CN 107909659 A CN107909659 A CN 107909659A CN 201711077134 A CN201711077134 A CN 201711077134A CN 107909659 A CN107909659 A CN 107909659A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
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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
- G06V20/63—Scene text, e.g. street names
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
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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
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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 discloses a kind of wisdom curb parking charging method based on wireless video sensor network.By streaming media video collecting device, vehicle parking situation is monitored, the video flowing collected is uploaded into high in the clouds or video monitoring center, is analyzed and handled by real-time video, realize the calculating of vehicle fee payable.Detected for the moving vehicle in video flowing, obtain the method being combined during foreground target image using increment PCA background modeling methods with Three image difference, extract the key frame containing moving vehicle, obtain the image of target vehicle.The present invention can realize the unsupervised automatic management of curb parking charge, the video flowing that streaming media collecting device is collected reasonably is analyzed, and then completes metered operation, avoids toll collector from being negotiated directly with car owner, so as to save the time of car owner, charge efficiency is improved；Solves the phenomenon that curb parking charge loophole and cash caused by financially are lost in.
Description
Technical field
The invention belongs to computer network, intelligent transportation field, proposes that one kind is applicable to traffic monitoring, roadside is stopped
A kind of car charging application, and in particular to wisdom curb parking charging method based on wireless video sensor network.
Background technology
Wireless sensor network (Wireless Sensor Networks, WSNs) is big in monitoring region by being deployed in
The network that quantity sensor is formed in a manner of self-organizing and multi-hop etc., it can be used for the perception of cooperative wireless network network, the acquisition of information
The processing of the object area covered with sensing network, and it is responsible for sending corresponding information to controller.Wireless sensor network is opened up
The information obtaining ability of people has been opened up, the physical message of objective world and transmission network have been linked together, in next generation network
In substantial amounts of, real, effective information will be provided for people.Wireless sensor network can obtain objective physical information, tool
Have broad application prospects, can apply to traffic administration, military and national defense, Industry Control, city management, environmental monitoring, medical treatment prison
The fields such as survey, rescue and relief work.Wireless sensor network has caused the height of many National Academies circle and industrial quarters in the world
Pay attention to, it is considered to be one of technology with strongest influence power to the production and living of the 21 century mankind.
But under the demand of the very low wireless sensor network of cost, sensor node needs limited in resource
In the case of ensure the collection and transmission of effective data, this is a difficult task.In these limitations, node energy supply
Be wireless sensor network protocols design in most important factor needed to be considered.The consumption of energy content of battery sensor node module
Expense is mainly used for following three modules：Sensor assembly, processor module and wireless communication module.Current sensor node leads to
Often powered using minicell, energy is extremely limited, and influence or dead battery capability due to environment, node are easy to occur
Failure, it is impossible to normal work.Therefore, energy is effectively obtained from external environment condition, for the wireless senser of low-power consumption
Network has great importance, and can greatly prolong node lifetime, reduces network operation cost.
In recent years, with the rapid growth of China's economy, private car number of users is also being continuously increased, with vehicle flowrate
It is continuously increased, causes the pressure of parking, existing parking lot can not tackles interim it is impossible to meet the needs of parking
The demand of parking, so implementing the scheme of curb parking.But at present for curb parking in the urban traffic control in China
The formulation of charge method is perfect not enough, and curb parking charge method currently in use has two kinds of Parking Meter and manual oversight, this two
Kind mode is insufficient, inefficient in terms of the accuracy of charge.The especially mode of manual oversight, financially cause it is very big
Loophole and cash are lost in, and are not easy to manage；Toll collector negotiates directly with car owner, causes the waste of time resource.More than being based on
Phenomenon, proceeds from the reality, with reference to the prior art, it is proposed that a kind of wisdom curb parking based on wireless video sensor network is received
Take scheme, by streaming media video collecting device, vehicle parking situation is monitored, the video flowing collected is uploaded into cloud
End or video monitoring center, are analyzed and handled by real-time video, realize the calculating of vehicle fee payable.
The content of the invention
The technical problems to be solved by the invention are to be powered using solar energy for streaming media video acquisition system, are proposed a kind of
Wisdom curb parking charging method based on wireless video sensor network.This method regards high in the clouds or video monitoring center
Frequency stream is analyzed and processed, and is detected by moving vehicle, the extraction of License Plate, License Plate Segmentation and license plate number, finally extracting
License plate number and the license plate number appear in the time of video monitoring regional and leave time of video monitoring regional at the same time after typing
Platform database, license plate number determine a car owner as unique mark, by occurring to same license plate number and leaving video monitoring area
The time in domain is made the difference to calculate the expense of curb parking.
To achieve the above object, the technical solution adopted by the present invention is a kind of wisdom based on wireless video sensor network
Curb parking charging method, comprises the steps of：
Step 1：Dispose Streaming Media collecting device：Streaming Media collecting device is deployed in the both ends of curb parking charging section
Eminence, and ensure that solar panel will not be blocked；
Step 2：Video acquisition processing：The video stream that streaming media video collecting device collects to high in the clouds or is regarded
Frequency monitoring center carries out real-time video analysis and processing, realizes the calculating of vehicle fee payable, based on video flowing extraction vehicle
License board information, vehicle enter time in video monitoring section, vehicle leaves time of video monitoring regional；
Step 3：Moving vehicle detects：Foreground target vehicle image is extracted, using increment PCA background modeling methods and three frames
Key frame of the method extraction containing moving vehicle that calculus of finite differences is combined, obtains foreground target vehicle image；
Step 4：License Plate：Using morphology, characteristic point detection means, the color characteristic and Texture features of car plate are utilized
Feature generates candidate license plate；Using Gray Projection method, using car plate, possessed feature and candidate license plate carry out contrast and test in itself
Confirm existing positioning, complete License Plate operation；
Step 5：Character segmentation：It is combined using sciagraphy with the distribution characteristics of character, character is normalized,
Realize characters on license plate Accurate Segmentation；
Step 6：Extract license plate number：The license plate number extracted and the license plate number are appeared in into video monitoring regional for the first time
Input database, license plate number determine a car owner to system time as unique mark at the same time, extract a license plate number and accordingly
After system time, return to step 3；
Step 7:When vehicle leaves monitoring area, when extraction license plate number leaves the system of video monitoring regional with the vehicle
Between, leave time of video monitoring regional input database together, same car using license plate number as unique mark and the vehicle
Two database table entries with obvious time order and function order occur in the trade mark in the database；
Step 8：The same license plate number extracted is entered into the time of video monitoring regional and leaves video monitoring regional
Time makes the difference, and calculates Parking Fee；
Step 9：Pass through the license board information contact method and notice for obtaining car owner associated with car owner's personal information database
Car owner.
Further, often held when disposing Streaming Media collecting device and place two multimedia sensor nodes, ensured to disengaging
The vehicle for entering roadside Car park payment section carries out monitoring comprehensive in real time.
Further, in above-mentioned steps 3, moving vehicle detection specifically comprises the steps of：
Step 31：One width prospect is obtained respectively by increment PCA background modeling methods and Three image difference to a frame video
Target image；
Step 32：Noise remove, reduction and real-world object are carried out to the foreground target image of acquisition using morphologic filtering
The difference at edge, prepares for threshold test；
Step 33：The two foreground target images are subjected to calculus of differences, carry out threshold test, can be with by comparison threshold value
Judge whether the difference of two foreground target images is obvious, so as to judge whether the foreground target image is accurate；
Step 34：Two foreground target images progress or computing if accurate, so as to obtain final foreground target figure
Picture；If inaccurate, background model is updated, obtains new background image and foreground image, return to step 3 continues to execute；
Step 35：According to obtained foreground target image, license board information is obtained.
Further, binary conversion treatment is carried out, with side to a width foreground target image gray processing of acquisition in above-mentioned steps 31
Just the information in image is extracted, while recognition efficiency can be increased.
Further, in above-mentioned steps 4, be combined with expansion and corrosion when Morphological scale-space and characteristic point detection
Opening and closing operation remove noise.
Further, the character recognition used when extracting license plate number described in above-mentioned steps 6 is by the matched method of module
Matched successively with the template in java standard library, calculate total same pixel number respectively, find that group of similarity maximum
Number, final character identification result is used as by the use of digital or alphabetical corresponding to such standard module.
Further, handled in above-mentioned steps 8 if the time is no more than 15 minutes as vehicle of passing by one's way, by the license plate number
Relevant information is deleted from database；If the time carries out corresponding charging more than 15 minutes, according to the time.
Further, in the form of short message car owner can be notified to pay the fees in time in corresponding platform in above-mentioned steps 9；If car owner
Do not pay the fees for a long time, then notify car owner to pay the fees as early as possible by way of phone contact；If car owner has paid the fees,
The car owner is recorded in database and has paid this curb parking expense, so as to complete curb parking charge operation.
The present invention is it is further proposed that realize the above-mentioned wisdom curb parking payment collector based on wireless video sensor network
The system of method, specifically comprising solar panel, step-up/down module, rechargeable lithium battery, Streaming Media collecting device, more matchmakers
Body sensor node, wireless communication module, energy management module and central processing unit, solar panel and step-up/down
Module is connected, and energy management module is connected with step-up/down module, rechargeable lithium battery and central processing unit, stream
Media capturing equipment is connected with rechargeable lithium battery and multimedia sensor node, central processing unit and energy management mould
Block, multimedia sensor node and wireless communication module are connected, and wireless communication module uses wireless communication ad hoc network
And the operating mode being carried out at the same time using transmitting-receiving.
Compared with prior art, beneficial effects of the present invention：
1, the electric energy converted in of the invention by using solar energy is that video sensor node is powered, so as to fulfill wireless nothing
Source sensor network nodes, energy conservation and environmental protection, can extend the sensor network nodes service life, improve network node stability and can
By property.Reduce because replace or maintenance sensor network node and caused by node data lose problem and expense of human and ask
Topic.By the prediction for solar energy, the working method of Streaming Media collecting device is adjusted with this, sensor network can be extended
Node lifetime.
2, the present invention proposes on the basis of the self-powered streaming media video acquisition system based on solar energy collecting and prediction
A kind of wisdom curb parking toll project based on wireless video sensor network, the program can realize that curb parking is charged
Unsupervised automatic management, the information that streaming media video acquisition node is collected reasonably are analyzed, and then complete meter
When the operation charged；The program can be negotiated directly with to avoid toll collector and car owner, so as to save the time of car owner, improve
Charge efficiency；This solution avoids manual toll collection to produce unnecessary conflict because of timing error, solves curb parking charge
Loophole and cash are lost in this phenomenon caused by financially, easy to manage.
3, the present invention improves the precision that car plate is extracted from video flowing, while shortens the time of license plate retrieving process.It is right
Moving vehicle detection in video flowing, we have proposed one kind to use increment PCA background modeling methods and Three image difference phase
With reference to extracting the key frame containing moving vehicle.This method is conducive to improve the accuracy of license plate retrieving and reduces fortune
Evaluation time, can meet our actual demand.
Brief description of the drawings
Fig. 1 is the self-powered streaming media video acquisition system structure chart based on solar energy collecting and prediction；
Fig. 2 is that foreground target vehicle image extracts work flow diagram in video flowing；
Fig. 3 is that license board information obtains work flow diagram；
Fig. 4 is the wisdom curb parking toll project flow chart based on wireless video sensor network.
Embodiment
In conjunction with attached drawing, the present invention will be further described in detail.
Self-powered streaming media video acquisition system based on solar energy collecting and prediction is made of multiple modules.Such as Fig. 1 institutes
Show, streaming media video acquisition system includes solar panel, step-up/down module, rechargeable lithium battery, Streaming Media and gathers and set
Standby, multimedia sensor node, wireless communication module, energy management module and central processing unit.Solar panel is with rising
Pressure/voltage reduction module is connected, energy management module and step-up/down module, rechargeable lithium battery and central processing unit phase
Connection, Streaming Media collecting device are connected with rechargeable lithium battery and multimedia sensor node, central processing unit and energy
Amount management module, multimedia sensor node and wireless communication module are connected.
Wireless communication module uses wireless communication ad hoc network and the operating mode being carried out at the same time using transmitting-receiving.
The video collected is sent to high in the clouds, and either video monitoring center is beyond the clouds or video monitoring center is to video
Handled and analyzed, roadside Parking Fee is calculated.
Foreground target vehicle extraction work flow diagram in video flowing is as shown in Fig. 2, specific works step is as follows：
Step 1：One width prospect mesh is obtained respectively by increment PCA background modeling methods and Three image difference to a frame video
Logo image.
Step 2：Noise remove, reduction and real-world object side are carried out to the foreground target image of acquisition using morphologic filtering
The difference of edge, prepares for threshold test.
Step 3：The two foreground target images are subjected to calculus of differences, carry out threshold test, can be with by comparison threshold value
Judge whether the difference of two foreground target images is obvious, so as to judge the whether accurate of the foreground target image
Step 4：If accurate, two foreground target images progress or computing, so as to obtain final foreground target figure
Picture；If inaccurate, background model is updated, obtains new background image and foreground image, return to step 3 continues to execute.
Step 5：According to obtained foreground target image, license board information is obtained.
License board information obtains work flow diagram as shown in figure 3, specific works step is as follows：
Step 1：It is combined by increment PCA background modeling methods and Three image difference and gets final foreground target car
Image, by the image carry out gray processing.
Step 2：Image is subjected to binary conversion treatment, so can conveniently extract the information in image, while can increase
Recognition efficiency.
Step 3：Image is subjected to Morphological scale-space and characteristic point detection, expansion has mainly been used and has corroded what is be combined
Opening and closing operation, removes noise, and candidate license plate is generated using the color characteristic and Texture features of car plate.Then Gray Projection is used
Method, verifies candidate license plate using the inherent feature of license plate structure and realizes positioning, completes License Plate operation.
Step 4：Character segmentation, is combined with the distribution characteristics of character using sciagraphy, character is normalized, and is realized
The accurate Ground Split of characters on license plate.
Step 5：Character recognition, by the matched method of module, is matched with the template in java standard library, is counted respectively successively
Total same pixel number, finds that group number of similarity maximum, with the numeral or word corresponding to such standard module
Mother is as final character identification result.
Step 6：License board information is obtained, writes background data base.
Wisdom curb parking toll project flow chart based on wireless video sensor network is as shown in figure 4, specific works
Step is as follows：
Step 1：Dispose streaming media video collecting device.Streaming Media collecting device is deployed in curb parking charging section
Both ends
Unobstructed eminence, to ensure that solar panel will not be blocked by leaf etc.；Often two multimedia sensings are placed at end
Device node, ensures to carry out monitoring comprehensive in real time to the vehicle for entering and exiting curb parking charging section.
Step 2：Streaming media video collecting device is collected into video stream to high in the clouds or video monitoring center, to adopting
The video collected is uniformly handled, based on the video flowing extraction license board information of vehicle, vehicle enter video monitoring section when
Between, vehicle leave time of video monitoring regional.
Step 3：Extract foreground target vehicle image.It is combined using increment PCA background modeling methods with Three image difference,
Extract the key frame containing moving vehicle.Moving vehicle detection algorithm can be divided into three steps：A, passes through increment PCA to a frame video
Background modeling method and Three image difference obtain a width foreground target image respectively.B, the prospect using morphologic filtering to acquisition
Target image carries out the difference of noise remove, reduction and real object edges, prepares for threshold test.C, by the two prospects
Target image carries out calculus of differences, carries out threshold test, judges whether the foreground target image is accurate.D, if accurately, two
A foreground target image carries out or computing, so as to obtain final foreground target image；If inaccurate, background model is updated,
New background image and foreground image is obtained, c is returned and continues to execute.
Step 4：Foreground target vehicle image pre-processes.Foreground target vehicle image is pre-processed, by image ash
Degreeization processing, operation, the Car license recognition after being such as image binaryzation processing and Morphological scale-space prepare, are conducive to improve
The accuracy of Car license recognition.
Step 5：License Plate.Main means are detected as using morphology, characteristic point, utilize the color characteristic and word of car plate
Accord with texture generation candidate license plate；Then reuse Gray Projection method, using car plate in itself possessed feature and candidate license plate into
Row contrast verification, so as to complete License Plate operation.
Step 6：Character segmentation.It is combined using sciagraphy with the distribution characteristics of character, character is normalized, is realized
The accurate Ground Split of characters on license plate.
Step 7：Extract license plate number.When the license plate number of extraction and the license plate number are appeared in the system of monitoring area for the first time
Between input database at the same time, license plate number determines a car owner as unique mark.A license plate number and corresponding system are extracted
After time, return to step 3 continues to execute.
Step 8:When vehicle leaves monitoring area, license plate number and time departure are extracted, using license plate number as unique mark
With time departure together input database.Same license plate number occurs that two have obvious time order and function order in the database
Database table entry.
Step 9：The same license plate number extracted is entered into the time of video monitoring regional and leaves the time of video monitoring
Make the difference, calculate Parking Fee.If the time is less than or equal to 15 minutes, as vehicle processing of passing by one's way, by the correlation of the license plate number
Information is deleted from database；If the time exceeds more than 15 minutes, corresponding charging is carried out according to the time.
Step 10：It is associated with car owner's personal information database by license board information, learn the contact method of car owner, it is short
Letter form notifies car owner to pay the fees in time in corresponding platform.If car owner does not pay the fees for a long time, pass through phone contact
Mode notifies car owner to pay the fees as early as possible；If car owner has paid the fees, the car owner is recorded in the database and has paid this road
Side Parking Fee, so as to complete curb parking charge operation.
By it is described above it is visible compared with prior art, it is proposed by the present invention based on solar energy collecting and prediction from
Power supply streaming media video acquisition system, it is possible to reduce made because replacing or safeguarding multimedia sensor network node power supply module
Into node data problem and Human Resource Problems, extend working time of whole system.On this basis, the present invention proposes
A kind of wisdom curb parking toll project based on wireless video sensor network, case can realize that curb parking charges nobody
The automatic management of supervision, the information that streaming media video acquisition node is collected reasonably are analyzed, and then are completed timing and received
The operation taken；The program can be negotiated directly with to avoid toll collector and car owner, so as to save the time of car owner, improve charge
Efficiency；This solution avoids manual toll collection to produce unnecessary conflict because of timing error, solves curb parking charge in wealth
Loophole caused by business and cash are lost in this phenomenon, easy to manage.At the same time, the present invention is improved extracts from video flowing
The accuracy of car plate, while reduce the time of license plate retrieving process.Detected for the moving vehicle in video flowing, obtain prospect
Target image.It is combined we have proposed one kind using increment PCA background modeling methods with Three image difference, extraction contains movement
The key frame of vehicle.This method is conducive to improve the accuracy of license plate retrieving and reduces the operation time of license plate retrieving, can
To meet our actual demand.
The above is only the preferred embodiment of the present invention.It should be pointed out that come for those of ordinary skill in the art
Say, without departing from the principle of the present invention, various modifications and improvements can be made, these also should be regarded as belonging to the present invention
Protection domain.
Claims (9)
1. a kind of wisdom curb parking charging method based on wireless video sensor network, it is characterised in that include following step
Suddenly：
Step 1：Dispose Streaming Media collecting device：Streaming Media collecting device is deployed in the height at the both ends of curb parking charging section
Place, and ensure that solar panel will not be blocked；
Step 2：Video acquisition processing：The video stream that streaming media video collecting device collects to high in the clouds or video are supervised
Control center carries out real-time video analysis and processing, realizes the calculating of vehicle fee payable, the car plate based on video flowing extraction vehicle
Information, vehicle enter time in video monitoring section, vehicle leaves time of video monitoring regional；
Step 3：Moving vehicle detects：Foreground target vehicle image is extracted, using increment PCA background modeling methods and three-frame difference
Key frame of the method extraction containing moving vehicle that method is combined, obtains foreground target vehicle image；
Step 4：License Plate：Using morphology, characteristic point detection means, the color characteristic and character texture characteristics of car plate are utilized
Generate candidate license plate；Using Gray Projection method, using car plate, possessed feature and candidate license plate carry out contrast verification reality in itself
Now position, complete License Plate operation；
Step 5：Character segmentation：It is combined using sciagraphy with the distribution characteristics of character, character is normalized, is realized
Characters on license plate Accurate Segmentation；
Step 6：Extract license plate number：The system that the license plate number extracted and the license plate number are appeared in into video monitoring regional for the first time
Time, input database, license plate number determined a car owner as unique mark at the same time, extracted a license plate number and corresponding system
After time, return to step 3；
Step 7:When vehicle leaves monitoring area, extraction license plate number leaves the system time of video monitoring regional with the vehicle,
Time of video monitoring regional input database together, same license plate number are left using license plate number as unique mark and the vehicle
Two database table entries with obvious time order and function order occur in the database；
Step 8：The same license plate number extracted is entered into the time of video monitoring regional and leaves the time of video monitoring regional
Make the difference, calculate Parking Fee；
Step 9：By the license board information contact method for obtaining car owner associated with car owner's personal information database and notify car owner.
2. the wisdom curb parking charging method according to claim 1 based on wireless video sensor network, its feature
It is often to hold when disposing Streaming Media collecting device and places two multimedia sensor nodes, ensures to entering and exiting curb parking charge
The vehicle in section carries out monitoring comprehensive in real time.
3. the wisdom curb parking charging method according to claim 1 based on wireless video sensor network, its feature
In step 3 moving vehicle detection specifically comprise the steps of：
Step 1：One width foreground target figure is obtained respectively by increment PCA background modeling methods and Three image difference to a frame video
Picture；
Step 2：Noise remove, reduction and real object edges are carried out to the foreground target image of acquisition using morphologic filtering
Difference, prepares for threshold test；
Step 3：The two foreground target images are subjected to calculus of differences, threshold test is carried out, may determine that by comparison threshold value
Whether the difference of two foreground target images is obvious, so as to judge whether the foreground target image is accurate；
Step 4：Two foreground target images progress or computing if accurate, so as to obtain final foreground target image；If
Inaccuracy, then update background model, obtains new background image and foreground image, and return to step 3 continues to execute；
Step 5：According to obtained foreground target image, license board information is obtained.
4. the wisdom curb parking charging method according to claim 3 based on wireless video sensor network, its feature
, to a width foreground target image gray processing of acquisition, binary conversion treatment is being carried out in step, to facilitate the letter in extraction image
Breath, while recognition efficiency can be increased.
5. the wisdom curb parking charging method according to claim 1 based on wireless video sensor network, its feature
The opening and closing operation being combined when carrying out Morphological scale-space in step 4 and characteristic point is detected with expansion and corrosion, which removes, makes an uproar
Sound.
6. the wisdom curb parking charging method according to claim 1 based on wireless video sensor network, its feature
When extracting license plate number described in step 6 character recognition that uses be by the matched method of module successively with java standard library
Template is matched, and calculates total same pixel number respectively, that group number of similarity maximum is found, with such master die
It is digital or alphabetical as final character identification result corresponding to block.
7. the wisdom curb parking charging method according to claim 1 based on wireless video sensor network, its feature
As vehicle processing of passing by one's way if being no more than 15 minutes if the time in step 8, by the relevant information of the license plate number from data
Deleted in storehouse；If the time carries out corresponding charging more than 15 minutes, according to the time.
8. the wisdom curb parking charging method according to claim 1 based on wireless video sensor network, its feature
Car owner can notified to pay the fees in time in corresponding platform in the form of short message in step 9；If car owner is not paid for a long time
Take, then notify car owner to pay the fees as early as possible by way of phone contact；If car owner has paid the fees, record should in the database
Car owner has paid this curb parking expense, so as to complete curb parking charge operation.
A kind of 9. wisdom curb parking charging method based on wireless video sensor network as claimed in claim 1 realized
System, it is characterised in that comprising solar panel, step-up/down module, rechargeable lithium battery, Streaming Media collecting device, more
Media sensor node, wireless communication module, energy management module and central processing unit, solar panel and boosting/drop
Die block is connected, and energy management module is connected with step-up/down module, rechargeable lithium battery and central processing unit,
Streaming Media collecting device is connected with rechargeable lithium battery and multimedia sensor node, central processing unit and energy management
Module, multimedia sensor node and wireless communication module are connected, and wireless communication module uses wireless communication ad hoc network skill
Art and the operating mode being carried out at the same time using transmitting-receiving.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108805994A (en) * | 2018-05-21 | 2018-11-13 | 温州中佣科技有限公司 | A kind of Meter Parking system and method |
| CN108830950A (en) * | 2018-05-28 | 2018-11-16 | 深圳拍物联科技有限公司 | A kind of wireless cloud curb parking charging method and system |
| CN108921956A (en) * | 2018-07-03 | 2018-11-30 | 重庆邮电大学 | A kind of curb parking charge management method based on Video Analysis Technology |
| CN109523642A (en) * | 2018-09-17 | 2019-03-26 | 上海航天设备制造总厂有限公司 | A kind of curb parking intelligent toll system based on license plate recognition technology |
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