CN201145955Y - License plate recognition system - Google Patents
License plate recognition system Download PDFInfo
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- CN201145955Y CN201145955Y CNU2007201737877U CN200720173787U CN201145955Y CN 201145955 Y CN201145955 Y CN 201145955Y CN U2007201737877 U CNU2007201737877 U CN U2007201737877U CN 200720173787 U CN200720173787 U CN 200720173787U CN 201145955 Y CN201145955 Y CN 201145955Y
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Abstract
The utility model provides a number plate identifying system; the system comprises a plurality of number plate video collection units which are correspondingly arranged at each driveway of a traffic flow section one by one and are connected with close shot cameras on each driveway; a plurality of number plate identifying units which are correspondingly connected with a plurality of number plate video collection units one by one by video cables; each number plate identifying unit can carry out identifying on partial number plates; one assembly processing unit is connected with a plurality of number plate identifying units by an Ethernet bus and is simultaneously connected with an industrial control computer by the Ethernet bus; the technical scheme of the utility model can carry out number plate identifying on all the vehicles on the traffic flow section; a field coverage overlapped covering area is designed to be in the size about one character of the number plate, thus ensuring the width of the number plate to account for a larger proportion of the width of the field coverage so as to effectively ensure a higher number plate identifying rate and simultaneously preventing the situation of identifying the same vehicle for twice at the same time from happening.
Description
Technical field
The utility model is about intelligent transportation field, especially in regard to a kind of Vehicle License Plate Recognition System.
Background technology
Relate at intelligent transportation field vehicle is carried out under the law enforcement situation, often need the trade mark of vehicle is discerned automatically, especially to all carrying out car plate identification by vehicle on the whole traffic flow cross section, for example overspeed system, the system of making a dash across the red light, buckle supervisory system, path identifying system etc. all need the vehicle that passes through on the whole traffic flow cross section is carried out car plate identification.
The rolling stock that passes through on the whole traffic flow cross section is carried out car plate identification, all is to adopt video camera is installed in to be erected at across on the portal frame in track or be installed on the L bar of trackside, based on existing technology two kinds of schemes is arranged:
1. static images identification
Static images identification is adopted in car plate identification the earliest, owing to have only a frame picture recognition, the shared pixel count of car plate is more in the picture of requirement, so the visual field is just less, Fig. 1 is the system layout scheme of this situation.As shown in Figure 1, under the situation of 3 through lanes 101, adopt 5 video cameras 104, by focus of camera and angle are adjusted 5 visual fields 102 of formation, adjacent visual field forms the visual field and repeats areal coverage, areal coverage 103 is repeated in totally 4 visual fields, and each repeats areal coverage and requires so to reach the whole coverings to three tracks greater than the size of a car plate in the visual field.Simultaneously as shown in Figure 1,5 video cameras 104 need 5 cover light filling equipment 105 and 5 car plate recognizers 106, and the recognition result of final 5 car plate recognizers 106 is transferred to industrial control computer by network interface.
2. video identification
Development along with technology, the identification of video car plate has appearred, vehicle is identifying object by all frames of whole visual field, all single frames picture recognition results select to obtain license plate recognition result by ballot at last, and the influence that the car plate size diminishes in the single-frame images can be selected to be cushioned by multiframe picture recognition result's ballot.So just produce the scheme that realizes traffic flow cross section vehicle is carried out car plate identification by the visual field that increases single camera, Fig. 2 is the system layout scheme of this situation.As shown in Figure 2, under the circumstances of three through lanes 201, adopt 3 video cameras 204, by focus of camera and angle are adjusted 3 visual fields 202 of formation, adjacent visual field forms the visual field and repeats areal coverage, totally 2 are repeated areal coverage 203, and each repeats areal coverage and requires so to reach the whole coverings to three tracks greater than the size of a car plate in the visual field.Simultaneously as shown in Figure 2,3 video cameras 204 need 3 cover light filling equipment 205 and 3 car plate recognizers 206, and the recognition result of final 3 car plate recognizers 206 is transferred to industrial control computer by network interface.
More than the covering problem of two kinds of existing scheme transport solution flow sections, can be to the passing through vehicle and carry out car plate identification of traffic flow cross section, but also have some problems.Can guarantee owing to the less car plate size in visual field in the scheme 1, therefore discrimination has and must guarantee, but as shown in Figure 1, under 3 track 101 circumstances, need 5 video cameras, 104,5 cover light filling equipment 105 and 5 car plate recognizers, increased equipment cost significantly, also obviously increased the complexity of total system, its number of devices of increase with number of track-lines also can increase simultaneously.Adopt 3 video cameras 204 in the scheme 2, but, make the size of car plate in picture be subjected to bigger restriction, can only keep less car plate state because 2 overlapping areal coverage require each greater than a car plate.Higher discrimination is kept in the identification of video car plate has certain restriction to the car plate size, requires the width of car plate to account for more than 1/8 of visual field width, but according to situation shown in Figure 2, the ratio that the car plate width accounts for the visual field is about 1/8.4, and computing formula is as follows:
Standard track N is 3500mm, and the overlapping areal coverage M in visual field is 500mm, and standard car plate width A is 440mm, and number of track-lines is n, and visual field areal coverage number is m, and both sides, track not surveyed area L are 200mm, and the visual field width is D
D=(N*n+M*m-L*2)/n formula (1)
Car plate width/visual field width=A/D=A*n/ (N*n+M*m-L*2) formula (2)
When number of track-lines is 3, car plate width/visual field width=440*3/ (3500*3+500*2-200*2)=1/8.4
When number of track-lines is 4, car plate width/visual field width=440*4/ (3500*4+500*3-200*2)=1/8.6
Because the ratio that the car plate width accounts for the visual field is less than 1/8, so identification is lower, as above calculating this kind trend also can increase with the increase of number of track-lines.
In sum, scheme 1 increases the input amount of equipment, scheme 2 discriminations are lower, and as depicted in figs. 1 and 2, normally the vehicle by the track appears at the overlapping areal coverage in visual field, make these two kinds of schemes same car of same time all can occur and discern twice situation, increase the screening operation amount of rear end.
Summary of the invention
The purpose of this utility model is to provide a kind of Vehicle License Plate Recognition System, is used to solve the problem of all vehicles that pass through of traffic flow cross section being carried out car plate identification.This scheme can not only be discerned complete car plate also can obtain complete license board information by the part car plate is discerned.
The utility model provides a kind of Vehicle License Plate Recognition System, it adopts following technical scheme: described system is by the close shot video camera, car plate identification video collecting unit, car plate recognition unit and assembly processing unit are formed, wherein a plurality of car plate identification video collecting units link to each other by the ordinary video cable with each self-corresponding close shot video camera, be arranged on one to one on each track in traffic flow cross section, on described each track, form the car plate acquisition field of view, and between adjacent lane, form car plate collection overlapped fov; A plurality of car plate recognition units, be connected with described a plurality of car plate identification video collecting units one to one, receive and handle the part car plate data that are identified car plate that enter described car plate acquisition field of view and car plate collection overlapped fov of described corresponding car plate identification video collecting unit collection, the generating portion license plate recognition result; The assembly processing unit links to each other with described a plurality of car plate recognition units by industry ethernet, the processing of the part license plate recognition result that generates respectively according to two car plate recognition units to adjacent lane, generate the complete car plate data that this is identified car plate, export complete license plate recognition result, the assembly processing unit carries out information interaction by industry ethernet interface and industrial control computer.
The technical solution of the utility model can be carried out car plate identification to all vehicles that pass through on the traffic flow cross section, stride the situation of two visual fields for same car plate, identification is solved by the part car plate, adopt this design proposal complete the appearing in two visual fields of same car plate of same time can not occur, so the repeatedly identification problem of same same car plate of time can not occur.And this scheme only needs video camera number identical with number of track-lines and car plate recognizer number, has saved cost.In addition, because this scheme can be discerned the part car plate, also can be applied to block the warning of car plate.
Description of drawings
Fig. 1 is a kind of system layout conceptual scheme of prior art;
Fig. 2 is the another kind of system layout conceptual scheme of prior art;
Fig. 3 is the system layout conceptual scheme of the utility model embodiment 1;
Fig. 4 is the car plate recognizer functional block diagram of the utility model embodiment 1;
Fig. 5 is the functional block diagram of the car plate identification judging unit of the utility model embodiment 1;
Fig. 5 a is the hardware structure diagram of the utility model embodiment 1 car plate recognizer;
Fig. 6 is the functional block diagram of the assembly processing unit of the utility model embodiment 1;
Fig. 6 a is the hardware structure diagram of the assembly processing unit of the utility model embodiment 1;
Fig. 7 is the light filling opertaing device hardware structure diagram of the utility model embodiment 1;
Fig. 8 is the another kind of system layout conceptual scheme of the utility model embodiment 1;
Fig. 9 is the car plate identification process figure of the utility model embodiment 2;
Figure 10 is the car plate picture synoptic diagram of a practical application of the utility model.
Embodiment
Be elaborated as follows below in conjunction with accompanying drawing to embodiment of the present utility model:
Fig. 3 is the embodiment of the utility model under 3 track situations, under the situation of 3 through lanes 301, adopt 3 video cameras 304 to gather license board information, by focus of camera and angle are adjusted 3 visual fields 302 of formation, adjacent visual field forms the visual field and repeats areal coverage, and areal coverage 303 is repeated in totally 2 visual fields.3 video cameras 304 are connected with 3 car plate recognizers 306, the recognition result of 3 car plate recognizers 306 is issued assembly processing unit 307 by network interface, and the recognition result after will handling is transferred to industrial control computer, and this computing machine receives, stores and show complete license plate recognition result.
When car plate is in non-overlapped field of view, the video camera 304 corresponding with this visual field, collection enters the complete car plate data that are identified car plate of car plate acquisition field of view 302, corresponding car plate recognizer 306 receives and handles these complete car plate data, and generate the complete license plate recognition result that this is identified car plate, should complete license plate recognition result send assembly processing unit 307 to; When car plate is positioned at the overlapped fov zone, two video cameras 304 of adjacent lane, gather respectively and enter the part car plate data that are identified car plate that car plate is gathered overlapped fov 303, corresponding car plate recognizer 306 receives and handles the part car plate data of video camera 304 collections in corresponding track, and generate the part license plate recognition result that this is identified car plate, send the part license plate recognition result to assembly processing unit 307; Assembly processing unit 307 makes up and the multiframe screening the part license plate recognition result, obtains to be identified the complete car plate data of car plate, the output license plate recognition result.
Two video cameras 304 of adjacent lane are gathered the car plate data that are identified car plate that enter car plate collection overlapped fov 303 respectively can be divided into two kinds of situations, and a kind of situation is: two video cameras 304 of adjacent lane collect this part car plate data that are identified car plate respectively; Assembly processing unit 307 generates the complete car plate data that this is identified car plate with the part car plate data combination that is identified car plate that two video cameras 304 of adjacent lane collect respectively.
Another kind of situation is: one in two video cameras 304 collects the part car plate data that this is identified car plate, and another collects this complete car plate data that are identified car plate; Assembly processing unit 307 collects the part car plate and the complete car plate data that are identified car plate respectively with two car plate identification video collecting units and carries out the multiframe Screening Treatment, generates the complete car plate data that this is identified car plate.
Fig. 4 is the functional block diagram of the car plate recognizer 306 of present embodiment.As shown in Figure 4, car plate recognizer 306 comprises: collecting unit 401, be used for the analog video that video camera 304 obtains is gathered, collecting unit can utilize video capture processor to realize the mould/number conversion of video, and the digital picture that forms is incorporated in the exercisable internal memory of DSP.Car plate identification judging unit 402, the license board information that identification is gathered also judges whether the license board information of being discerned satisfies the part vehicle license plate characteristic, the feature of part car plate can compare by the information with complete car plate to be judged, the condition of judging comprises: the depth-width ratio example of car plate is different from complete car plate, and the number of characters on the car plate is less than number of characters of complete car plate or the like; Output unit 403 is exported to assembly processing unit 307 with license plate recognition result, and the processing of process assembly processing unit 307 shows the recognition result of final complete car plate on computers.
As shown in Figure 4, in the middle of the application of reality, car plate recognizer 306 can also comprise unit 404 and video vehicle separating unit 405 are set.The setting that unit 404 is used for system is carried out some default parameterss is set, as monitored area and direction, the adjacent car plate recognizer etc. of car plate size, part car plate.Video vehicle separating unit 405, the digital image sequence of gathering is poor through filtering, frame, ask processing such as edge certainly, add that self-align algorithm can realize vehicle tracking, enter the visual field to leaving the testing process that the visual field is a car from vehicle, from realizing dividing a car.
Fig. 5 is the refinement block diagram of the car plate identification judging unit 402 of present embodiment.As shown in Figure 5, car plate identification judging unit 402 comprises: car plate positioning unit 501, carry out the car plate location, and judge whether to satisfy the feature of part car plate according to positioning result, can judge whether to be the part car plate this moment according to the depth-width ratio of car plate; Car plate cutter unit 502 cuts the car plate behind the location, and the feature according to the cutting result judges whether to satisfy the part car plate can judge whether to be the part car plate according to the number of characters of cutting at this moment; Car plate recognition unit 503 is discerned the car plate after the cutting, judges whether to satisfy the feature of part car plate according to recognition result, and can judge whether to be the part car plate this moment according to the number of characters that identifies.
Fig. 5 a is the hardware structure diagram of present embodiment car plate recognizer.Core processing unit adopts the high-performance processor of Ti C6000 series, guarantee the realization of video car plate identification macrooperation amount, FLASH is used for stored programme and parameter, SDRM is as internal memory, and video capture processor is used for image acquisition, and the video pio chip is used for image and send apparent, network chip is used to send recognition result and externally links up, the serial ports expansion chip is used to send recognition result and externally links up, and also expansion has the I/O interface, reserves the access and the output of other switching values.
Fig. 6 is the refinement block diagram of the assembly processing unit 307 of present embodiment.As shown in Figure 6, assembly processing unit 307 comprises: group is to unit 601, the group of carrying out the part car plate according to the position of the complete car plate in the part license plate recognition result is right, if promptly the position of the complete car plate of two part license plate recognition result is identical then belong to the part car plate of coupling, the part car plate that will mate then is combined into complete car plate; Multiframe ballot unit 602 obtains the multiframe recognition result of described complete car plate, and described multiframe recognition result is voted to obtain the recognition result of complete car plate.Fig. 6 a is the hardware structure diagram of the assembly processing unit 307 of present embodiment, and core processing unit adopts the ARM microprocessor, and other also comprise FLAH, SDRM, network interface, serial ports expansion chip etc.
As shown in Figure 3, also can operate as normal when light is dark in order to make this system, this system can also comprise the light filling part 305 that connects video camera 304 and car plate recognizer 306, be used at night with the darker situation of light under light filling.This light filling part can by obtaining the field sync signal of video, be controlled at camera acquisition with LED light filling lamp and brighten constantly according to the intensity of calculated feature values control light filling in the images acquired, deepening afterwards, the light filling of formation and audio video synchronization flicker.Fig. 7 is the hardware structure diagram of present embodiment light filling opertaing device, processing unit adopts the ARM microprocessor, by serial ports can with the communication of car plate recognizer, can gather the field sync signal and the light intensity signal of video image, can control the shutter of video camera and the switch of LED light filling pipe matrix.
In order to improve the car plate discrimination of present embodiment, can also make the size of sizableness character on the standard car plate of each overlapping areal coverage in visual field by adjusting focus of camera and angle.The ratio computing method that the car plate width of present embodiment accounts for the visual field are as follows: each standard track N is 3500mm, and the overlapping areal coverage M in visual field is 45mm, and standard car plate width A is 440mm, number of track-lines is n, visual field areal coverage number is m, and both sides, track not surveyed area L are 200mm, and the visual field width is D
Car plate width/visual field width=A/D=A*n/ (N*n+M*m-L*2) formula (2)
When number of track-lines is 3, car plate width/visual field width=440*3/ (3500*3+45*2-200*2)=1/7.7
When number of track-lines is 4, car plate width/visual field width=440*4/ (3500*4+45*3-200*2)=1/7.8
The ratio that accounts for the visual field through the car plate width that calculates present embodiment is 1/7.7, relatively meets the requirement of video identification, guarantees higher car plate discrimination so can cross.
Fig. 8 is the another kind of system layout conceptual scheme of present embodiment.At this moment, the assembly processing unit is not re-used as an independent equipment and is connected with computing machine and car plate recognizer, and it can be arranged in computing machine, perhaps is arranged in the car plate recognizer.When the assembly processing unit is arranged in computing machine, this moment, the car plate recognizer directly was connected with computing machine, and the license board information of identification issued computing machine, by the assembly processing unit of computing machine the part license plate recognition result is combined into complete license plate recognition result, and shows on computers.The assembly processing unit also can be arranged in the car plate recognizer, this moment the car plate recognizer not only can to license board information discern also can make up simultaneously the information of part car plate and the multiframe ballot to obtain complete license board information.
The technical solution of the utility model can be carried out car plate identification to all vehicles that pass through on the traffic flow cross section, the overlapping areal coverage in visual field is set to an about characters on license plate size, guarantee that the car plate width accounts for the visual field width and keeps larger proportion, effectively guarantee higher car plate discrimination, can not occur same car of same time simultaneously and discern twice situation.Can be effectively applied to overspeed system, the system of making a dash across the red light, bayonet socket supervisory system, path identifying system etc. are to all being undertaken in the system of car plate identification by vehicle on the whole traffic flow cross section.
Above embodiment only is used to illustrate the utility model, but not is used to limit the utility model.
Claims (5)
1. a Vehicle License Plate Recognition System is characterized in that, described system comprises: video camera, car plate identification video collecting unit, car plate recognition unit and assembly processing unit.
Video camera is separately positioned on each track, gathers traffic video;
A plurality of car plate identification video collecting units, be arranged on one to one on each track in traffic flow cross section and join by video line with described video camera, on described each track, form the car plate acquisition field of view, and between adjacent lane, form car plate collection overlapped fov;
A plurality of car plate recognition units, be connected with described a plurality of car plate identification video collecting units one to one, receive and handle the part car plate data that are identified car plate that enter described car plate acquisition field of view and described car plate collection overlapped fov of corresponding car plate identification video collecting unit collection respectively, the generating portion license plate recognition result;
The assembly processing unit, the processing of the part license plate recognition result that generates respectively according to two car plate recognition units to adjacent lane generates the complete car plate data that this is identified car plate, exports complete license plate recognition result.
2. system according to claim 1 is characterized in that, described car plate is gathered overlapped fov and is about the size that is identified a character in the car plate.
3. system according to claim 1 is characterized in that, described part license plate recognition result comprises: the position that the position of the position of Recognition of License Plate Characters result, characters on license plate, part car plate, car plate color, car plate are put letter rate and complete car plate.
4. system according to claim 1 is characterized in that,
Described car plate identification video collecting unit, collection enters the complete car plate data that are identified car plate of described car plate acquisition field of view, corresponding car plate recognition unit receives and handles these complete car plate data, and generate the complete license plate recognition result that this is identified car plate, should complete license plate recognition result send described assembly processing unit to; Or
Two car plate identification video collecting units of adjacent lane, gather respectively and enter the part car plate data that are identified car plate that described car plate is gathered overlapped fov, corresponding car plate recognition unit receives and handles the part car plate data of the car plate identification video collecting unit collection in corresponding track, and generate the part license plate recognition result that this is identified car plate, send the part license plate recognition result to described assembly processing unit;
Described assembly processing unit makes up and the multiframe screening the part license plate recognition result, obtains to be identified the complete car plate data of car plate, the output license plate recognition result.
5. system according to claim 3 is characterized in that, described complete license plate recognition result also comprises: whether car plate is by all or part of information of blocking.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2007201737877U CN201145955Y (en) | 2007-10-24 | 2007-10-24 | License plate recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2007201737877U CN201145955Y (en) | 2007-10-24 | 2007-10-24 | License plate recognition system |
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| CN201145955Y true CN201145955Y (en) | 2008-11-05 |
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| CNU2007201737877U Expired - Fee Related CN201145955Y (en) | 2007-10-24 | 2007-10-24 | License plate recognition system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436744A (en) * | 2011-09-20 | 2012-05-02 | 中盟智能科技（苏州）有限公司 | License plate picture locking method and device |
| CN103021184A (en) * | 2012-12-26 | 2013-04-03 | 江苏大学 | Method and system for assistant distinguishing of vehicles with license plates covered |
| CN104574977A (en) * | 2013-10-14 | 2015-04-29 | 泓格科技股份有限公司 | Vehicle passing information identification matching system |
| CN110718066A (en) * | 2019-08-30 | 2020-01-21 | 厦门路桥信息股份有限公司 | License plate recognition method, medium, device and system |
| CN112581749A (en) * | 2019-09-12 | 2021-03-30 | 阿里巴巴集团控股有限公司 | Method, system and device for obtaining vehicle resource occupation information and electronic equipment |
-
2007
- 2007-10-24 CN CNU2007201737877U patent/CN201145955Y/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436744A (en) * | 2011-09-20 | 2012-05-02 | 中盟智能科技（苏州）有限公司 | License plate picture locking method and device |
| CN102436744B (en) * | 2011-09-20 | 2014-12-10 | 中盟智能科技（苏州）有限公司 | Method and device for locking license plate picture |
| CN103021184A (en) * | 2012-12-26 | 2013-04-03 | 江苏大学 | Method and system for assistant distinguishing of vehicles with license plates covered |
| CN103021184B (en) * | 2012-12-26 | 2015-08-26 | 江苏大学 | Block auxiliary discriminating conduct and the system of car plate vehicle |
| CN104574977A (en) * | 2013-10-14 | 2015-04-29 | 泓格科技股份有限公司 | Vehicle passing information identification matching system |
| CN104574977B (en) * | 2013-10-14 | 2016-08-24 | 泓格科技股份有限公司 | Vehicle passing information identification matching system |
| CN110718066A (en) * | 2019-08-30 | 2020-01-21 | 厦门路桥信息股份有限公司 | License plate recognition method, medium, device and system |
| CN112581749A (en) * | 2019-09-12 | 2021-03-30 | 阿里巴巴集团控股有限公司 | Method, system and device for obtaining vehicle resource occupation information and electronic equipment |
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Address after: 100085 Beijing East Road, No. 1, building No. 5, building No. 601, No. Patentee after: Beijing Wanji Technology Co., Ltd. Address before: 100085 Beijing East Road, No. 1, building No. 5, building No. 601, No. Patentee before: Beijing Wanji Technology Co., Ltd. |
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