CN201134166Y - Number plate of vehicle recognition system - Google Patents
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- CN201134166Y CN201134166Y CNU2007201737881U CN200720173788U CN201134166Y CN 201134166 Y CN201134166 Y CN 201134166Y CN U2007201737881 U CNU2007201737881 U CN U2007201737881U CN 200720173788 U CN200720173788 U CN 200720173788U CN 201134166 Y CN201134166 Y CN 201134166Y
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- 239000013589 supplement Substances 0.000 claims abstract description 28
- 230000006698 induction Effects 0.000 claims description 20
- 238000012545 processing Methods 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 13
- 230000001960 triggered effect Effects 0.000 claims description 8
- 230000001360 synchronised effect Effects 0.000 claims description 4
- 230000003068 static effect Effects 0.000 description 15
- 238000010586 diagram Methods 0.000 description 11
- 238000000034 method Methods 0.000 description 7
- 230000001502 supplementing effect Effects 0.000 description 6
- 239000011159 matrix material Substances 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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Abstract
The utility model provides a vehicle license plate recognition system, comprising a close-range camera connected with a video input port of an embedded vehicle license plate recognizer via a video cable, a LED stroboscopic light supplement control board connected with an I/O port of the embedded vehicle license plate recognizer via a special data control line, a flash lamp connected with a control output port of the embedded vehicle license plate recognizer via a general I/O control line, a coil controller connected with a control input port of the embedded vehicle license plate recognizer via a general I/O control line, and an embedded vehicle license plate recognizer connected with a lane computer via an Ethernet bus.
Description
Technical Field
The utility model relates to an image recognition technology, especially about the car license plate recognition technology in the traffic management, specific saying is a license plate recognition system.
Background
At present, an automatic vehicle recognition system is commonly used in lanes for highway tolling or height limitation, and the structure of the system comprises: the system comprises a ground induction coil detector (a ground induction coil and a coil detection controller), a close-range camera, a constant illuminating lamp, a flash lamp and a license plate recognition unit (an embedded type or a PC type). When a vehicle passes through a ground induction coil buried in a lane, a coil detector gives a vehicle arrival trigger signal, a license plate recognition unit receives the trigger signal (if the external light is insufficient at the moment, a flash lamp is started), a close-range camera is controlled to capture a vehicle image, and then the collected vehicle image is processed and recognized to obtain a final license plate recognition result, wherein the final license plate recognition result comprises license plate color, license plate number and the like.
However, in practical application, the recognition performance of the system depends heavily on the arrangement position of the ground induction coil, the construction requirement is extremely high, the adaptability to different vehicle types is low, and if the vehicle has a shielding condition, the system cannot normally recognize the license plate.
In order to solve the problems, a video-based license plate recognition system is developed, the video-based license plate recognition system collects video streams of vehicles passing through a lane to realize multiple recognition of the same license plate, and finally, an optimized and selected result is output.
The video-based license plate recognition system does not need an external trigger signal generally, has strong adaptability and has certain resistance to the vehicle shielding condition. However, in the current identification mode, the LED stroboscopic light source is adopted for light supplement, and the light supplement intensity is much lower than that of a flash lamp, so that the quality of the acquired video image is lower than that of the flash lamp, and the identification accuracy is reduced while the system adaptability is improved.
Chinese utility model patent 200520055168.9 discloses an automatic recognizer for license plates, the technical scheme that this automatic recognizer for license plates discloses can merge here, in order to regard as the utility model discloses a prior art.
Disclosure of Invention
The utility model provides a license plate identification system for a license plate automatic identification system based on video stream and still image combine together is provided. The technical scheme of the utility model is that:
a license plate recognition system the system comprising: a camera and a license plate recognition device; the camera is connected with the license plate recognition device; the camera is used for shooting a license plate video image and a license plate still image; the license plate recognition device comprises: the video image unit is used for processing the license plate video image shot by the camera to obtain a license plate video image recognition result; the still image unit is used for processing the license plate still image shot by the camera to obtain a license plate still image recognition result; the image screening unit is used for screening license plate images of the license plate video image recognition results generated by the video image unit and the license plate still image recognition results generated by the still image unit to generate license plate recognition results; and the image output unit is used for outputting the license plate recognition result generated by the image screening unit.
The beneficial effects of the utility model reside in that: the vehicle video and the vehicle still image are combined to be used as a signal source for image processing, each frame of recognition is carried out on the vehicle video, the results of multiple recognition are voted to obtain a recognition result, the still image of the vehicle is recognized to obtain a recognition result, the two recognition results are comprehensively optimized and screened to form a final license plate recognition result, and therefore the accuracy of the license plate recognition result is improved.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
fig. 2 is a block diagram of the system of the present invention, which is a structural diagram of an LED stroboscopic light-supplementing control panel;
FIG. 3 is a block diagram of the system embedded license plate recognition device of the present invention;
fig. 4 is a system schematic diagram of the dynamic embodiment 1 of the invention;
fig. 5 is a system diagram of embodiment 2 of the present invention;
FIG. 6 is a flow chart of the system operation of the present invention;
fig. 7 is a flow chart of the license plate recognition and screening of the present invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings. As shown in fig. 1, there is provided a license plate recognition system, comprising: the system comprises a close-range camera, an LED stroboscopic light supplement lamp, a flash lamp, a coil detector and an embedded license plate recognizer, wherein the coil detector comprises a ground sensing coil and a coil controller, the close-range camera comprises a camera lens and a camera shooting control unit, the direction of the camera lens is aligned to the ground sensing coil, the direction of the LED stroboscopic light supplement lamp is consistent with that of the close-range camera, and the flash lamp is fixed in front of the ground sensing coil (in the vehicle driving direction). The close-range camera is connected to a video input interface of the embedded license plate recognizer through a video line, the output of the coil controller is connected to a trigger signal input end of the embedded license plate recognizer, and the embedded license plate recognizer can transmit recognition result information to a lane computer through a network or a serial port.
The light supplementing device comprises an LED stroboscopic light supplementing lamp and a flashlight. As shown in fig. 2, it is the working schematic diagram of the LED stroboscopic light-filling control panel in the automatic license plate recognition system based on the combination of video stream and still image. The synchronous signal separation module of the LED stroboscopic light supplement control panel separates out synchronous signals from a signal line of a close-range camera, the light intensity measurement module acquires index parameters of external environment light, the hardware parameter setting module reads values of a parameter selection dial switch on the LED stroboscopic light supplement control panel, the remote control module receives control information transmitted through an RS-485 bus, all the above signal quantities are input into an ARM7 processor of the LED stroboscopic light supplement control panel, and the processor generates a series of control signals through processing to control an LED light supplement matrix to perform optimal light supplement.
As shown in fig. 2, the LED stroboscopic light supplement lamp is composed of an LED light supplement matrix and an LED light supplement control panel, the input of the LED light supplement control panel is connected to the output of the camera shooting control unit, and the output of the LED light supplement control panel is connected to the LED light supplement matrix. The LED light supplement matrix can be composed of a plurality of LED lamps, and is arranged above the camera in a position opposite to the shooting license plate. The flash lamp comprises a flash light source and a flash lamp controller, and an input signal of the flash lamp controller is an output signal of the coil controller.
When the light of the external environment is weak, the light of the video stream is supplemented by an LED stroboscopic light supplementing lamp, and the flashing time of the LED stroboscopic light supplementing lamp is strictly consistent with the shutter opening time of the close-range camera; the still image is supplemented with light by a flash lamp, which is triggered by a coil controller. LED stroboscopic light filling lamp can decide whether to carry out the light filling according to the power of external environment light automatically, if needs the light filling then start self carry out the light filling in, send the order that gets into the light filling mode to the flash light controller, the flash light just can carry out the light filling according to the car signal that has of coil controller this moment.
The automatic license plate recognition system based on the combination of the video stream and the still image mainly comprises the following steps:
a. the short-range camera collects video images of the lane in real time at the speed of 25 frames/second, the video images are transmitted to the embedded license plate recognizer through a video line, and if the light of the external environment is insufficient, the LED stroboscopic light supplementing control panel automatically supplements light;
b. when the embedded license plate recognizer detects that a vehicle enters a view field, the embedded license plate recognizer starts to process and recognize a series of continuous videos of the vehicle captured by a close-range camera, and the whole video recognition process comprises license plate positioning, character cutting, character preprocessing, single-frame recognition and multi-frame recognition;
c. when a vehicle enters the induction range of the ground induction coil, the coil controller sends a trigger signal to the embedded license plate recognizer, and the coil controller triggers the flash lamp to perform primary light supplement;
d. the embedded license plate recognizer informs a close-range camera to capture a static image of the vehicle according to the trigger signal of the coil to process and recognize the static image;
e. the embedded license plate recognizer comprehensively optimizes the two recognition results and outputs the final recognition result of the vehicle, wherein the final recognition result comprises license plate color, license plate number, a license plate small image, a license plate large image and snapshot time.
The automatic automobile license plate recognition system based on the combination of the video stream and the still image organically combines a video stream-based license plate recognition mode and a still image-based license plate recognition mode, can effectively overcome the defects of video stream recognition and still image recognition by combining the two recognition modes, and achieves the purpose of making up for deficiencies of each other; correspondingly, video license plate discernment need not external trigger signal, shelters from to the vehicle and has certain resistance, and the image quality that static image discernment acquireed is better, and discernment accuracy teaches highly, the utility model discloses combine both organically, both reduced the strict requirement to external trigger opportunity, easily engineering implementation can realize higher discernment degree of accuracy again.
According to the automatic automobile license plate recognition system based on the combination of the video stream and the still image, the light supplement of the flash lamp is triggered by the vehicle signal of the ground induction coil controller, when a vehicle passes through the ground induction coil area, if the ground induction coil controller does not normally send out the trigger signal due to various reasons such as equipment failure, the embedded license plate recognizer can outwards send out the video trigger signal according to the video recognition result to trigger the flash lamp to supplement light.
The automatic automobile license plate recognition system based on the combination of the video stream and the still image can respectively perform the video stream recognition and the still image recognition, and then an optimal result is screened out according to the rule; or the method can be integrated, the identification result of the still image is taken as a special frame and put into the video stream to participate in the unified voting to obtain an identification result.
The automatic vehicle license plate recognition system based on the combination of the video stream and the still image can effectively improve the recognition rate of the characters of the license plate by combining the two recognition modes, because some characters which are easy to generate confusion, such as O, D, Q three characters, are very similar, the collected image increases the chance of confusion of the three characters due to the limitation of the supplementary lighting mode in the simple video recognition, the automatic automobile license plate recognition system based on the combination of the video stream and the static image realizes a comprehensive screening voter in the embedded license plate recognizer, the comprehensive screening voter firstly carries out comprehensive voting on the recognition result, the recognition confidence coefficient and other available information such as the license plate position and the like of each frame in the video, distributes different weights to the recognition results of different positions according to a preset rule, and then participates in multi-frame voting. Because its quality of the still image that adopts the flash light filling is better, consequently the credibility of recognition result is than higher, is given higher weight when participating in the vote, just because the existence of this credible recognition result can improve greatly the utility model discloses license plate automatic identification system based on video stream and still image combine together is to the discernment correct rate similar to O, D, Q such confusing characters for its discernment correct rate far exceeds simple video identification mode.
According to the automatic automobile license plate recognition system based on the combination of the video stream and the still image, the recognition result of the embedded license plate recognizer can be transmitted to a lane computer through a network interface or can be transmitted through an RS-232 interface, and the transmitted information is subjected to data encryption and integrity processing, so that the integrity and confidentiality of data can be effectively guaranteed.
In the automatic license plate recognition system based on the combination of the video stream and the still image, as shown in fig. 3, the embedded license plate recognizer adopts an advanced DSP chip as a hardware carrier of a core recognition algorithm, and all the algorithms are solidified in hardware. The license plate recognition device comprises: the video image unit is used for processing the shot license plate video image to obtain a license plate video image recognition result; the still image unit is used for processing the taken license plate still image to obtain a license plate still image recognition result; the image screening unit is used for screening the license plate images of the license plate video image recognition result and the license plate still image recognition result to generate a license plate recognition result; and the image output unit is used for outputting the generated license plate recognition result. Compared with the common license plate recognition system based on the PC, the license plate recognition system based on the PC has the characteristics of high recognition performance, compact structure, strong environmental adaptability, simplicity in installation and maintenance and the like. The embedded license plate recognizer is provided with a special watchdog unit, so that the system crash situation can not occur.
The automatic license plate recognition system based on the combination of the video stream and the static image has the main application field of toll lanes or overrun overload detection sites, and has the advantages of low construction difficulty, stable and reliable system, high recognition accuracy, strong adaptability to different vehicle types and the like.
Example 1
As shown in fig. 4, it is an exemplary diagram of an application of the automatic license plate recognition system based on the combination of video stream and still image in a toll lane of the present invention, which includes a lane computer 401, an embedded license plate recognizer 402, a close-range camera and LED strobe fill light source 403, a flash lamp 404, a coil controller 405, and a ground sensing coil 406.
Fig. 6 is a flow chart of the embedded software of the embedded license plate recognizer in the automatic license plate recognition system based on the combination of the video stream and the still image. After the system is started, the close-range camera 403 acquires a current frame image, the embedded license plate recognizer 402 makes a difference between the current frame image and a previous frame image, whether a vehicle enters the field of view is judged according to the difference image, and if the vehicle enters the field of view, license plate positioning, license plate cutting and license plate recognition processing are carried out on a captured license plate video image. And judging whether the license plate is a valid license plate, if so, tracking and counting the license plate, and storing the recognition result in a cache. The ground induction coil 406 detects whether the vehicle reaches the position of the ground induction coil, and if so, a video identification result is obtained. And judging whether the induction coil 406 sends a trigger signal for static shooting, if so, shooting a static image by the close-range camera 403, and carrying out license plate positioning, cutting and recognition processing on the static image by the embedded license plate recognizer 402 to obtain a static image recognition result. Then, the embedded license plate recognizer 402 performs optimization selection on the two recognition results to obtain the final license plate recognition result.
As shown in fig. 7, it is the utility model discloses synthesize the work schematic diagram of screening voter among the embedded license plate recognizer in the license plate automatic identification system based on video stream combines together with the still image, wherein synthesize and screen voter and carry out the weight distribution for each frame of identification result of video according to effective information such as discernment confidence, license plate position to for the higher weight of identification result distribution of still image, then vote according to predetermined voting rule, select the optimal result as final identification result in the follow voting result.
Example 2
As shown in fig. 5, the present invention is an application example diagram of an automatic license plate recognition system based on the combination of video stream and still image without a ground sensing coil in a toll lane, which includes a lane computer 501, an embedded license plate recognizer 502, a close-range camera, an LED strobe light source 503, and a flash lamp 504.
Fig. 6 is a flow chart of the embedded software of the embedded license plate recognizer in the automatic license plate recognition system based on the combination of the video stream and the still image. After the system is started, the close-range camera 503 acquires a current frame image, the embedded license plate recognizer 502 makes a difference between the current frame image and a previous frame image, whether a vehicle enters the field of view is judged according to the difference image, and if the vehicle enters the field of view, license plate positioning, license plate cutting and license plate recognition processing are carried out on the captured license plate video image. And judging whether the license plate is a valid license plate, if so, tracking and counting the license plate, and storing the recognition result in a cache. The embedded license plate recognizer 502 detects whether the vehicle reaches the position of the ground induction coil, and if so, a video recognition result is obtained. And judging whether the embedded license plate recognizer 502 sends a trigger signal for static shooting, if so, shooting a static image by the close-range camera 503, and carrying out license plate positioning, cutting and recognition processing on the static image by the embedded license plate recognizer 502 to obtain a static image recognition result. Then, the embedded license plate recognizer 502 performs optimization selection on the two recognition results to obtain the final license plate recognition result.
As shown in fig. 7, it is the utility model discloses synthesize the work schematic diagram of screening voter among embedded license plate recognizer in the automatic identification system of license plate based on video stream combines together with still image, wherein synthesize and screen voter and carry out the weight distribution for each frame of recognition result of video according to effective information such as discernment confidence, license plate position to the higher weight of recognition result distribution for still image, then throw according to predetermined voting rule and throw
In the two embodiments, the used light supplement system comprises a set of LED stroboscopic light supplement lamps matched with the close-range camera and a flashlight positioned on the ground of the lane, the LED stroboscopic light supplement lamps are triggered and started by a synchronous signal of the close-range camera, the flashlight can be triggered and started by the embedded license plate recognizer and can also be triggered by the ground induction coil if the ground induction coil exists.
The used identification mode is an identification mode combining video identification and still image identification, and the optimal identification result is obtained by comprehensively voting the video identification result and the still image identification result.
The automatic license plate recognition system based on the combination of video stream and still image can also be connected with a coil controller arranged in a detection lane, and a flash lamp is triggered by the coil controller to supplement light.
The short-range camera collects video images of the lane in real time at the speed of 25 frames/second, the video images are transmitted to the embedded license plate recognizer through a video line, and if the light of the external environment is insufficient, the LED stroboscopic light supplementing control panel automatically supplements light; when the embedded license plate recognizer detects that a vehicle enters a view field, the embedded license plate recognizer starts to process and recognize a series of continuous videos of the vehicle captured by a close-range camera, and the whole video recognition process comprises license plate positioning, character cutting, character preprocessing, single-frame recognition and multi-frame recognition; when a vehicle enters the induction range of the ground induction coil, the coil controller sends a trigger signal to the embedded license plate recognizer, and the coil controller triggers the flash lamp to perform primary light supplement; the embedded license plate recognizer informs a close-range camera to capture a static image of the vehicle according to the trigger signal of the coil to process and recognize the static image; the embedded license plate recognizer comprehensively optimizes the two recognition results and outputs the final recognition result of the vehicle, wherein the final recognition result comprises license plate color, license plate number, a license plate small image, a license plate large image and snapshot time. The ground coil mentioned therein may be absent. If the ground induction coil is not arranged, the embedded license plate recognizer can realize video trigger on the flash lamp.
The above detailed description is therefore intended to be illustrative of the invention and is not intended to be limiting.
Claims (5)
1. A license plate recognition system, said system comprising: a camera and a license plate recognition device; the camera is connected with the license plate recognition device; wherein,
the camera is used for shooting a license plate video image and a license plate still image;
the license plate recognition device comprises:
the video image unit is used for processing the license plate video image shot by the camera to obtain a license plate video image recognition result;
the still image unit is used for processing the license plate still image shot by the camera to obtain a license plate still image recognition result;
the image screening unit is used for screening license plate images of the license plate video image recognition results generated by the video image unit and the license plate still image recognition results generated by the still image unit to generate license plate recognition results;
and the image output unit is used for outputting the license plate recognition result generated by the image screening unit.
2. The system of claim 1, further comprising:
the LED stroboscopic light supplement lamp is connected with the license plate recognition device and is triggered by a synchronous signal of the camera;
and the flash lamp is connected with the license plate recognition device and is triggered by the license plate recognition device.
3. The system of claim 2, further comprising:
the ground induction coil is connected with the license plate recognition device and used for detecting whether the vehicle reaches a still image shooting position or not, and if so, sending a shooting trigger signal; the license plate recognition device triggers the camera and the flash lamp according to the received shooting trigger signal generated by the ground induction coil.
4. The system of claim 1, wherein the still image unit is configured to perform positioning, cutting and recognition processing on the license plate still image captured by the camera, and generate and store a license plate still image recognition result.
5. The system of claim 3, further comprising: and the lane computer is connected with the license plate recognition device and receives the license plate recognition result which is transmitted by the image output unit and comprises the color of the license plate, the number of the license plate, the small image of the license plate, the large image of the license plate and the shooting time.
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| CNU2007201737881U CN201134166Y (en) | 2007-10-24 | 2007-10-24 | Number plate of vehicle recognition system |
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| CNU2007201737881U CN201134166Y (en) | 2007-10-24 | 2007-10-24 | Number plate of vehicle recognition system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101635093A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Identification system and method of unlicensed motor vehicles |
| CN102542806A (en) * | 2010-12-28 | 2012-07-04 | 沈阳聚德视频技术有限公司 | Real-time monitoring system for license plate shielding of vehicles running on speedway and control method thereof |
| CN103258431A (en) * | 2012-02-20 | 2013-08-21 | 三星泰科威株式会社 | Automatic number plate recognition system and method for transmitting vehicle information |
| CN103390173A (en) * | 2013-07-24 | 2013-11-13 | 佳都新太科技股份有限公司 | Plate number character vote algorithm based on SVM (support vector machine) confidence |
| CN105096391A (en) * | 2015-08-20 | 2015-11-25 | 成都市微泊科技有限公司 | Charging and barrier gate integrated device for parking lot |
| CN109509190A (en) * | 2018-12-19 | 2019-03-22 | 中国科学院重庆绿色智能技术研究院 | Video monitoring image screening technique, device, system and storage medium |
| CN110874934A (en) * | 2018-08-29 | 2020-03-10 | 北京万集科技股份有限公司 | License plate recognition method, system and device |
-
2007
- 2007-10-24 CN CNU2007201737881U patent/CN201134166Y/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101635093A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Identification system and method of unlicensed motor vehicles |
| CN102542806A (en) * | 2010-12-28 | 2012-07-04 | 沈阳聚德视频技术有限公司 | Real-time monitoring system for license plate shielding of vehicles running on speedway and control method thereof |
| CN102542806B (en) * | 2010-12-28 | 2014-01-01 | 沈阳聚德视频技术有限公司 | Real-time monitoring system for license plate shielding of vehicles running on speedway and control method thereof |
| CN103258431A (en) * | 2012-02-20 | 2013-08-21 | 三星泰科威株式会社 | Automatic number plate recognition system and method for transmitting vehicle information |
| CN103258431B (en) * | 2012-02-20 | 2017-04-26 | 韩华泰科株式会社 | Automatic number plate recognition system and method for transmitting vehicle information |
| CN103390173A (en) * | 2013-07-24 | 2013-11-13 | 佳都新太科技股份有限公司 | Plate number character vote algorithm based on SVM (support vector machine) confidence |
| CN105096391A (en) * | 2015-08-20 | 2015-11-25 | 成都市微泊科技有限公司 | Charging and barrier gate integrated device for parking lot |
| CN110874934A (en) * | 2018-08-29 | 2020-03-10 | 北京万集科技股份有限公司 | License plate recognition method, system and device |
| CN109509190A (en) * | 2018-12-19 | 2019-03-22 | 中国科学院重庆绿色智能技术研究院 | Video monitoring image screening technique, device, system and storage medium |
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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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