CN109559522B - Debugging method, telescopic upright post, camera and storage medium - Google Patents
Debugging method, telescopic upright post, camera and storage medium Download PDFInfo
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- CN109559522B CN109559522B CN201910053725.XA CN201910053725A CN109559522B CN 109559522 B CN109559522 B CN 109559522B CN 201910053725 A CN201910053725 A CN 201910053725A CN 109559522 B CN109559522 B CN 109559522B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
Abstract
The application discloses a debugging method, which is applied to a license plate recognition system, wherein the license plate recognition system comprises a telescopic stand column and a camera, and the debugging method comprises the following steps: the telescopic stand column runs according to a preset line, a license plate mounting device is arranged on the telescopic stand column, and a trigger position is preset in the preset line, so that when the telescopic stand column passes through the trigger position, the trigger camera acquires an image of a license plate. The embodiment of the application also provides a corresponding telescopic upright post and a camera. According to the technical scheme, the license plate position does not need to be adjusted manually or real vehicles are used for debugging, and debugging efficiency in partial scenes is improved.
Description
Technical Field
The application relates to the technical field of license plate recognition, in particular to a debugging method.
Background
Vehicles are increasing, the rapid development of domestic vehicles causes serious management difficulty for parking lots, and with the continuous progress of science and technology, more and more new technologies are applied to vehicle management systems, for example, license plate recognition systems are widely used at exits and entrances of parking lots. The license plate recognition technology is an application of the computer video image recognition technology in vehicle license plate recognition. In the management of the parking lot, an unattended fast channel is established by utilizing a license plate recognition technology, so that the passing efficiency of vehicles at an entrance and an exit is greatly improved.
However, when the license plate recognition device is deployed in the parking lot, multiple times of debugging are needed, so that the license plate image acquired by the camera meets the requirements, manual license plate lifting or real vehicle debugging is needed in the debugging process, and the efficiency is low.
Disclosure of Invention
The embodiment of the application provides a debugging method, so that the position of a license plate does not need to be manually adjusted or a real vehicle does not need to be used for debugging, and the debugging efficiency in partial scenes is improved.
In order to achieve the above purpose, the embodiments of the present application provide the following technical solutions:
the first aspect of the present application provides a debugging method, which is applied to a license plate recognition system, where the license plate recognition system may include a telescopic stand column and a camera, and the method may include: the telescopic stand column runs according to a preset line, a license plate mounting device is arranged on the telescopic stand column, and a trigger position is preset in the preset line, so that when the telescopic stand column passes through the trigger position, the trigger camera acquires an image of a license plate.
Optionally, with reference to the first aspect, in a first possible implementation manner, the method may further include: when the telescopic stand column runs to the triggering position, the telescopic stand column stops running for a preset time, the number of the triggering positions is N, and N is an integer larger than 0.
Optionally, with reference to the first aspect and the first possible implementation manner of the first aspect, in a second possible implementation manner, the license plate installation device is located at the top of the telescopic pillar.
A second aspect of the present application provides a debugging method, where the debugging method is applied to a license plate recognition system, where the license plate recognition system may include a telescopic pillar and a camera, and the method may include, for the camera in the license plate system: when the telescopic stand column passes through the triggering position, the camera acquires the image of the license plate, and the license plate is positioned on the license plate mounting device on the telescopic stand column. The camera extracts pixels of the image. The camera compares the extracted pixels with a preset standard. And the camera adjusts the focal length according to the comparison result so that the pixels of the image of the license plate meet the preset standard.
Optionally, with reference to the second aspect, in a first possible implementation manner, the adjusting, by the camera, the focal length according to the comparison result so that the pixels of the image of the license plate meet the preset criterion includes: if the extracted pixels are larger than the preset standard, the camera adjusts the focal length and reduces the license plate so that the pixels of the image of the license plate meet the preset standard.
Optionally, with reference to the second aspect, in a second possible implementation manner, the adjusting, by the camera, the focal length according to the comparison result so that the pixels of the image of the license plate meet the preset criterion includes: if the extracted pixels are smaller than the preset standard, the camera adjusts the focal length and enlarges the image so that the pixels of the image of the license plate meet the preset standard.
Optionally, with reference to the second aspect, the first possible implementation manner of the second aspect, or the second possible implementation manner, in a third possible implementation manner, after the camera extracts pixels of the image, the method may further include: the camera stores pixels of the image.
A third aspect of the present application provides a debugging system, including a telescopic column and a camera, where the telescopic column is the telescopic column described in the first aspect or the second aspect of the present application, and the camera is the camera described in the first aspect or the second aspect of the present application.
A fourth aspect of the present application provides a camera, comprising: and the acquisition unit is used for acquiring the image of the license plate when the telescopic stand column passes through the trigger position, and the license plate is positioned on the license plate installation device on the telescopic stand column. And an extraction unit configured to extract pixels of the image acquired by the acquisition unit. And the comparison unit is used for comparing the pixels extracted by the extraction unit with a preset standard. And the adjusting unit is used for adjusting the focal length according to the comparison result of the comparing unit so as to enable the pixels of the image of the license plate to meet the preset standard.
Optionally, with reference to the fourth aspect, in a first possible implementation manner, the adjusting unit is specifically configured to adjust the focal length and reduce the license plate if the pixel extracted by the comparing unit is greater than a preset standard, so that the pixel of the image of the license plate meets the preset standard.
Optionally, with reference to the fourth aspect, in a second possible implementation manner, the adjusting unit is specifically configured to adjust the focal length and enlarge the license plate if the extracted pixels are smaller than a preset standard, so that the pixels of the image of the license plate meet the preset standard.
Optionally, with reference to the fourth aspect, the first possible implementation manner or the second possible implementation manner of the fourth aspect, in a third possible implementation manner, the processing unit further includes a storage unit, configured to store pixels of an image.
A fifth aspect of the present application provides a camera, which may include: a processor and a memory, wherein the memory stores program instructions, and the processor is configured to execute the program instructions stored in the memory and execute the debugging method according to the second aspect or any one of the possible implementations of the second aspect.
A sixth aspect of the present application provides a computer-readable storage medium, which, when executed on a computer apparatus, causes the computer apparatus to perform a debugging method according to the second aspect or any one of the possible implementations of the second aspect.
A seventh aspect of the present application provides a computer program product comprising instructions that, when run on a computer, enable the computer to perform the debugging method of the second aspect or any one of the possible implementations of the second aspect.
The flexible stand of this application embodiment is provided with license plate installation device, can replace real vehicle, simulate the vehicle of co-altitude not, flexible stand is according to the operation of predetermined circuit, this predetermined circuit is provided with the trigger position in advance, so that when flexible stand through the trigger position, trigger camera acquires the image of license plate, the camera can be according to the image extraction pixel of this image that acquires, and then the focus is adjusted, this application embodiment need not artifical license plate or real vehicle participation, promote the efficiency of debugging.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a debugging method in the embodiment of the present application;
FIG. 2 is a schematic diagram of another embodiment of a debugging method in the embodiment of the present application;
FIG. 3 is a schematic view of a scenario of a debugging method in an embodiment of the present application;
FIG. 4 is a schematic view of one embodiment of a camera in an embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of a video camera according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will now be described with reference to the accompanying drawings, and it is to be understood that the described embodiments are merely illustrative of some, but not all, embodiments of the present application. As can be known to those skilled in the art, with the development of technology and the emergence of new scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.
The embodiment of the application provides a debugging method, a telescopic stand column, a camera and a storage medium, the position of a license plate does not need to be adjusted manually or a real vehicle does not need to be used for debugging, and the debugging efficiency in partial scenes is improved.
The following are detailed below.
The terms "first," "second," and the like in the description of the present application and in the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus. The naming or numbering of the steps appearing in the present application does not mean that the steps in the method flow have to be executed in the chronological/logical order indicated by the naming or numbering, and the named or numbered process steps may be executed in a modified order depending on the technical purpose to be achieved, as long as the same or similar technical effects are achieved. The division of the modules presented in this application is a logical division, and in practical applications, there may be another division, for example, multiple modules may be combined or integrated into another system, or some features may be omitted, or not executed, and in addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, and the indirect coupling or communication connection between the modules may be in an electrical or other similar form, which is not limited in this application. The modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in a plurality of circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present disclosure.
Fig. 1 is a schematic diagram of an embodiment of a debugging method in an embodiment of the present application.
As shown in fig. 1, an embodiment of a debugging method provided in the embodiment of the present application includes:
101. the telescopic upright post operates according to a preset line.
In some embodiments, the predetermined route may be located in an identification area, which may be a predefined area, and when the telescopic column enters the identification area, the camera is triggered to enter the ready state.
The license plate installation device is arranged on the telescopic upright post, can be arranged at the top of the telescopic upright post in some embodiments, and also can be arranged in the middle of the telescopic upright post in some embodiments, and the license plate installation device is not limited in position in the embodiments. The preset circuit is provided with a trigger position in advance, and the trigger position is provided with a sensing device, so that when the telescopic stand column passes through the trigger position, the sensing device can trigger the camera to shoot the license plate.
102. The camera acquires an image of the license plate.
When the telescopic upright post passes through the triggering position, the camera acquires the image of the license plate. The telescopic upright post can comprise a plurality of telescopic joints, the height of the telescopic upright post is adjusted, and vehicles with different heights are simulated. The height of the telescopic vertical column may be 1 meter to 1.6 meters, for example, the height of the telescopic vertical column is 1.4 meters or 1.5 meters, it should be noted that, the distance between 1 meter and 1.6 meters is merely for illustration, and in an actual application process, the distance may be selected according to actual requirements, and the embodiment of the present application does not limit the height of the telescopic vertical column.
103. The camera extracts pixels of the image.
Optionally 104, the camera saves pixels of the image.
Specifically, if the preset triggering positions are 3, the camera stores the license plate image at the position and extracts the pixels of the image for storage every time the telescopic stand passes through one triggering position, after the telescopic stand runs according to the preset line, the camera stores the pixels of the image of the license plate at 3 positions, and if 2 triggering positions are arranged on the preset line, the camera captures the license plate on the telescopic stand twice to obtain the image of the license plate. It should be noted that, the 2 trigger positions or the 3 trigger positions are only used for illustration, and in an actual application process, different numbers of trigger positions may be set according to actual requirements.
105. The camera compares the extracted pixels with a preset standard.
For example, if the predetermined criterion is 120 × 130 pixels and the extracted pixels are 100 × 140, the extracted pixels are smaller than the predetermined criterion, and if the predetermined criterion is 120 × 130 pixels and the extracted pixels are 125 × 140, the extracted pixels are larger than the predetermined criterion. It should be noted that the preset standard may be set according to actual requirements, and the pixel size of the preset standard is not limited in this application.
106. And the camera adjusts the focal length according to the comparison result so that the pixels of the image of the license plate meet the preset standard.
Specifically, if the image size is larger than the preset standard, the camera adjusts the focal length and reduces the license plate so that the pixels of the image of the license plate meet the preset standard. If the image is smaller than the preset standard, the camera adjusts the focal length and enlarges the license plate so that the pixels of the image of the license plate meet the preset standard.
According to the embodiment of the application, when the telescopic stand column passes through the trigger position, the camera is triggered to acquire the image of the license plate, the camera can extract the pixels of the image according to the acquired image, the focal length is adjusted, and the debugging efficiency is improved.
Fig. 2 is a schematic diagram of another embodiment of the debugging method in the embodiment of the present application.
As shown in fig. 2, another embodiment of the debugging method provided in the embodiment of the present application includes:
201. the telescopic upright post operates according to a preset line.
In some embodiments, the predetermined route may be located in an identification area, which may be a predefined area, and when the telescopic column enters the identification area, the camera is triggered to enter the ready state.
The license plate installation device is arranged on the telescopic upright post, can be arranged at the top of the telescopic upright post in some embodiments, and also can be arranged in the middle of the telescopic upright post in some embodiments, and the license plate installation device is not limited in position in the embodiments. The preset circuit is provided with a trigger position in advance, and the trigger position is provided with a sensing device, so that when the telescopic stand column passes through the trigger position, the sensing device can trigger the camera to shoot the license plate.
202. When the telescopic upright column runs to the triggering position, the telescopic upright column stops running for a preset time.
The preset route may include N triggering positions, where N is an integer greater than 0, and in an actual application process, the number of the triggering positions may be set as needed. The preset time can be set to any time according to actual needs. For example, in some embodiments, N may be 2, that is, 2 trigger positions are set on the preset route, and when the telescopic column operates according to the preset route, the telescopic column may pass through the trigger positions twice, for example, the trigger positions are a first trigger position and a second trigger position, if the preset time is 5 seconds, the telescopic column may stay for 5 seconds when passing through the first trigger position and continue to operate, and when the telescopic column passes through the second trigger position, the telescopic column may stay for 5 seconds again.
203. The camera acquires an image of the license plate.
For example, if 2 trigger positions are set on the preset route, the camera may capture the license plate on the telescopic column twice to obtain an image of the license plate. It should be noted that the 2 trigger positions are only for illustration, and in an actual application process, different numbers of trigger positions may be set according to actual requirements.
204. The camera extracts pixels of the image.
Optionally 205, the camera saves pixels of the image.
Specifically, if the preset triggering positions are 3, the camera stores the license plate image at the position and extracts the pixels of the image for storage every time the telescopic stand passes through one triggering position, after the telescopic stand runs according to the preset line, the camera stores the pixels of the image of the license plate at 3 positions, and if 2 triggering positions are arranged on the preset line, the camera captures the license plate on the telescopic stand twice to obtain the image of the license plate. It should be noted that, the 2 trigger positions or the 3 trigger positions are only used for illustration, and in an actual application process, different numbers of trigger positions may be set according to actual requirements.
206. The camera compares the extracted pixels with a preset standard.
For example, if the predetermined criterion is 120 × 130 pixels and the extracted pixels are 100 × 140, the extracted pixels are smaller than the predetermined criterion, and if the predetermined criterion is 120 × 130 pixels and the extracted pixels are 125 × 140, the extracted pixels are larger than the predetermined criterion. It should be noted that the preset standard may be set according to actual requirements, and the pixel size of the preset standard is not limited in this application.
207. And the camera adjusts the focal length according to the comparison result so that the pixels of the image of the license plate meet the preset standard.
Specifically, if the image size is larger than the preset standard, the camera adjusts the focal length and reduces the license plate so that the pixels of the image of the license plate meet the preset standard. If the image is smaller than the preset standard, the camera adjusts the focal length and enlarges the license plate so that the pixels of the image of the license plate meet the preset standard.
In this application embodiment, when flexible stand through the trigger position, trigger the camera and acquire the image of license plate, simultaneously, flexible stand can stop the default time when through the trigger position, and the camera can shoot clear license plate image in the time that flexible stand stopped to extract the pixel of this image according to the image of acquireing, and then the focus is adjusted, promotes the efficiency of debugging.
Fig. 3 is a schematic view of a scenario of a debugging method in the embodiment of the present application. As shown in fig. 3, when a parking lot is deployed, a constructor installs a camera according to a field entrance and exit environment, 301 is a license plate installation position, and sets a recognition area and a preset route, and 303 is a preset route. By using the telescopic upright column 302, the vehicle can automatically and slowly run along a preset route, the license plate heights of different vehicle types can be simulated according to the types of vehicles entering and exiting from the site, and at the moment, the camera 304 can automatically capture the license plate image of the position, extract the pixels of the image and store the pixels. When the telescopic upright post walks a complete preset route, license plate pixels of all trigger positions are stored in the camera. Meanwhile, the size of each license plate image pixel is calculated and analyzed, the electric lens of the camera is automatically adjusted, and the range is enlarged or reduced through zooming, so that the recognition area can meet the preset pixels.
Fig. 4 is a schematic diagram of an embodiment of a camera in an embodiment of the present application, where the camera may include:
the acquiring unit 401 is configured to acquire an image of a license plate when the telescopic stand column passes through the triggering position, where the license plate is located on the license plate installing device on the telescopic stand column.
An extracting unit 402 for extracting pixels of the image acquired by the acquiring unit 401.
A comparing unit 403, configured to compare the pixels extracted by the extracting unit 402 with a preset standard.
The first adjusting unit 404 is configured to, if the pixel compared by the comparing unit 403 is larger than the preset standard, adjust the focal length of the camera and reduce the license plate so that the pixel of the image of the license plate meets the preset standard.
The second adjusting unit 405 is configured to, if the pixel compared by the comparing unit 403 is smaller than the preset standard, adjust the focal length of the camera and enlarge the license plate, so that the pixel of the license plate image meets the preset standard.
Fig. 5 is a schematic diagram of a hardware structure of a video camera according to an embodiment of the present application.
The camera shown in fig. 5 includes a camera 501, a light sensor 502, a processing chip 503, and a memory 504. The processing chip 503 includes an image processor GPU. The camera 501, the optical sensor 502, the processing chip 503, and the memory 504 are connected to each other by a bus 508. An input/output (I/O) interface 505 is also connected to communication bus 508. Here, the method according to the present application may be implemented as a computer program and stored in the memory 504. The processing chip 503 in the camera specifically implements the debugging method of the present application by calling the above-mentioned computer program stored in the memory 504.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing instructions for performing a method as described in fig. 1 or fig. 2. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 506, and/or installed from the removable medium 507. The computer program performs the above-mentioned functions defined in the method of the present application when executed by a Graphics Processing Unit (GPU) in the processing chip 503. It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The debugging method, the telescopic column, the camera and the storage medium provided by the embodiment of the application are introduced in detail, a specific example is applied in the text to explain the principle and the implementation of the application, and the description of the embodiment is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A debugging method is characterized in that the debugging method is applied to a license plate recognition system, the license plate recognition system comprises a telescopic stand column and a camera, and the method comprises the following steps of aiming at the camera in the license plate recognition system:
when the telescopic upright post runs through a trigger position according to a preset line, the camera acquires an image of a license plate, and the license plate is positioned on a license plate mounting device on the telescopic upright post;
the camera extracts pixels of the image;
the camera compares the extracted pixels with a preset standard;
the camera adjusts the focal length according to the comparison result so that the pixels of the image of the license plate meet the preset standard;
and when the telescopic upright post passes through the trigger position, the induction position triggers the camera to acquire the image of the license plate.
2. The method of claim 1, wherein the camera adjusting the focal length according to the comparison result so that the pixels of the image of the license plate meet a preset standard comprises:
if the extracted pixels are larger than a preset standard, the camera adjusts the focal length and reduces the license plate so that the pixels of the image of the license plate meet the preset standard.
3. The method of claim 1, wherein the camera adjusting the focal length according to the comparison result so that the pixels of the image of the license plate meet a preset standard comprises:
if the extracted pixels are smaller than a preset standard, the camera adjusts the focal length and amplifies the license plate so that the pixels of the image of the license plate meet the preset standard.
4. The method of any of claims 1 to 3, wherein after the camera extracts the pixels of the image, the method further comprises:
the camera saves pixels of the image.
5. A debugging method is characterized in that the debugging method is applied to a license plate recognition system, the license plate recognition system comprises a telescopic stand column and a camera, and the method comprises the following steps of:
the telescopic upright post runs according to a preset line, a license plate installation device is arranged on the telescopic upright post, and the preset line is provided with a trigger position in advance, so that when the telescopic upright post passes through the trigger position, the camera is triggered to acquire an image of the license plate;
wherein, the predetermined circuit is preset with the trigger position to make when flexible stand passes through when the trigger position, trigger the camera and acquire the image of license plate includes: and a sensing position is arranged on the triggering position, and when the telescopic stand column passes through the triggering position, the sensing position triggers the camera to acquire the image of the license plate.
6. The method of claim 5, further comprising:
when the telescopic stand column runs to the triggering position, the telescopic stand column stops running for a preset time, the number of the triggering positions is N, and N is an integer greater than 0.
7. The method of claim 5 or 6, wherein the license plate mounting device is located on top of the telescoping post.
8. A debugging system is characterized by comprising a telescopic upright post and a camera,
the telescopic column is as described in claims 1 to 6;
the camera is the camera described in claims 1 to 6.
9. A camera, characterized in that the camera comprises: a processor and a memory, the memory having stored therein program instructions, the processor being configured to execute the program instructions stored in the memory to perform the method of any of claims 1 to 4.
10. A computer-readable storage medium, which when executed on a computer device, causes the computer device to perform the method of any one of claims 1 to 4.
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Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006119846A (en) * | 2004-10-20 | 2006-05-11 | Nagoya Electric Works Co Ltd | Vehicle photographing method and apparatus therefor |
| CN1825381A (en) * | 2005-02-24 | 2006-08-30 | 株式会社日立制作所 | Number plate recognition device, adjusting method of electric lens of number plate recognition device |
| CN202025435U (en) * | 2010-12-13 | 2011-11-02 | 索尼公司 | Camera control device, camera and crossing shooting system |
| CN102521979A (en) * | 2011-12-06 | 2012-06-27 | 北京万集科技股份有限公司 | High-definition camera-based method and system for pavement event detection |
| CN103502876A (en) * | 2011-05-12 | 2014-01-08 | 罗伯特·博世有限公司 | Method and device for calibrating a projection device of a vehicle |
| CN103606155A (en) * | 2013-11-27 | 2014-02-26 | 中国科学院西安光学精密机械研究所 | Camera view field calibrating method and device |
| CN103685936A (en) * | 2012-09-25 | 2014-03-26 | 通用汽车环球科技运作有限责任公司 | WIDE field of view camera image calibration and de-warping |
| CN103780837A (en) * | 2014-01-02 | 2014-05-07 | 中安消技术有限公司 | Motion detection and positioning photography method and device thereof |
| CN103795909A (en) * | 2012-10-29 | 2014-05-14 | 株式会社日立制作所 | Shooting optimization device, image-pickup device and shooting optimization method |
| CN104023177A (en) * | 2014-06-04 | 2014-09-03 | 华为技术有限公司 | Camera control method, device and camera |
| CN104318226A (en) * | 2014-11-19 | 2015-01-28 | 深圳市捷顺科技实业股份有限公司 | License plate recognition device parameter setting method and license plate recognizer |
| EP2916142A1 (en) * | 2014-03-06 | 2015-09-09 | Skidata Ag | Digital camera |
| CN104917957A (en) * | 2014-03-14 | 2015-09-16 | 电装波动株式会社 | Apparatus for controlling imaging of camera and system provided with the apparatus |
| CN105336171A (en) * | 2015-10-16 | 2016-02-17 | 浙江宇视科技有限公司 | Camera position calibration method and device |
| CN105357440A (en) * | 2015-11-27 | 2016-02-24 | 苏州佳世达电通有限公司 | Focusing system and focusing method |
| CN205621287U (en) * | 2016-03-31 | 2016-10-05 | 四川省明厚天信息技术股份有限公司 | Number plate of vehicle recognition system |
| CN106375666A (en) * | 2016-09-26 | 2017-02-01 | 成都臻识科技发展有限公司 | License plate based automatic focusing method and device |
| CN106385544A (en) * | 2016-09-23 | 2017-02-08 | 浙江宇视科技有限公司 | Camera exposure adjustment method and apparatus |
| CN206460515U (en) * | 2017-01-24 | 2017-09-01 | 长沙全度影像科技有限公司 | A kind of multichannel fisheye camera caliberating device based on stereo calibration target |
| CN206460512U (en) * | 2017-01-24 | 2017-09-01 | 长沙全度影像科技有限公司 | A kind of multichannel fisheye camera caliberating device |
| CN107393306A (en) * | 2015-06-29 | 2017-11-24 | 蒋春花 | Parking stall car plate movable type identification device |
| CN107566727A (en) * | 2017-09-19 | 2018-01-09 | 深圳云停智能交通技术研究院有限公司 | A kind of video camera Automatic adjustment method |
| CN107610185A (en) * | 2017-10-12 | 2018-01-19 | 长沙全度影像科技有限公司 | A kind of fisheye camera fast calibration device and scaling method |
| CN107622690A (en) * | 2017-08-30 | 2018-01-23 | 成都臻识科技发展有限公司 | A kind of parking stall guiding camera position method of adjustment and device |
| CN206948474U (en) * | 2017-07-05 | 2018-01-30 | 深圳市捷高电子科技有限公司 | A kind of quick focusing mechanism |
| CN206962940U (en) * | 2017-06-21 | 2018-02-02 | 北京易泊时代科技有限公司 | License plate recognition device |
| CN207166624U (en) * | 2017-06-14 | 2018-03-30 | 杭州海康威视数字技术股份有限公司 | Grasp shoot device |
| CN108269405A (en) * | 2016-12-31 | 2018-07-10 | 泊领（天津）科技有限公司 | A kind of parking lot high definition Vehicle License Plate Recognition System |
| CN108287229A (en) * | 2018-03-08 | 2018-07-17 | 吉林大学 | A kind of mud-rock flow groove channel erosion simulation experiment system |
| CN108292439A (en) * | 2015-11-30 | 2018-07-17 | 德尔福技术有限责任公司 | For calibrating installation to the method for the orientation of the video camera of vehicle |
| CN108603997A (en) * | 2016-02-01 | 2018-09-28 | 索尼公司 | control device, control method and control program |
| CN108875837A (en) * | 2018-06-27 | 2018-11-23 | 北京旷视科技有限公司 | Device and method for test target identification equipment |
| CN109076168A (en) * | 2016-05-18 | 2018-12-21 | 索尼公司 | control device, control method and program |
| CN208298251U (en) * | 2018-04-17 | 2018-12-28 | 深圳市道通科技股份有限公司 | The caliberating device and system of vehicle-mounted camera |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001126184A (en) * | 1999-10-29 | 2001-05-11 | Matsushita Electric Ind Co Ltd | Automatic license plate recognizing device and vehicle speed measuring method |
| JP2012128669A (en) * | 2010-12-15 | 2012-07-05 | Sumitomo Electric Ind Ltd | Vehicle color determining device, computer program and vehicle color determining method |
| JP2012208280A (en) * | 2011-03-29 | 2012-10-25 | Seiko Precision Inc | Imaging device |
| KR101307234B1 (en) * | 2012-07-10 | 2013-09-11 | (주)에스디시스템 | Parking management system based on object recognition |
-
2019
- 2019-01-21 CN CN201910053725.XA patent/CN109559522B/en active Active
Patent Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006119846A (en) * | 2004-10-20 | 2006-05-11 | Nagoya Electric Works Co Ltd | Vehicle photographing method and apparatus therefor |
| CN1825381A (en) * | 2005-02-24 | 2006-08-30 | 株式会社日立制作所 | Number plate recognition device, adjusting method of electric lens of number plate recognition device |
| CN202025435U (en) * | 2010-12-13 | 2011-11-02 | 索尼公司 | Camera control device, camera and crossing shooting system |
| CN103502876A (en) * | 2011-05-12 | 2014-01-08 | 罗伯特·博世有限公司 | Method and device for calibrating a projection device of a vehicle |
| CN102521979A (en) * | 2011-12-06 | 2012-06-27 | 北京万集科技股份有限公司 | High-definition camera-based method and system for pavement event detection |
| CN103685936A (en) * | 2012-09-25 | 2014-03-26 | 通用汽车环球科技运作有限责任公司 | WIDE field of view camera image calibration and de-warping |
| CN103795909A (en) * | 2012-10-29 | 2014-05-14 | 株式会社日立制作所 | Shooting optimization device, image-pickup device and shooting optimization method |
| CN103606155A (en) * | 2013-11-27 | 2014-02-26 | 中国科学院西安光学精密机械研究所 | Camera view field calibrating method and device |
| CN103780837A (en) * | 2014-01-02 | 2014-05-07 | 中安消技术有限公司 | Motion detection and positioning photography method and device thereof |
| EP2916142A1 (en) * | 2014-03-06 | 2015-09-09 | Skidata Ag | Digital camera |
| CN104917957A (en) * | 2014-03-14 | 2015-09-16 | 电装波动株式会社 | Apparatus for controlling imaging of camera and system provided with the apparatus |
| CN104023177A (en) * | 2014-06-04 | 2014-09-03 | 华为技术有限公司 | Camera control method, device and camera |
| CN104318226A (en) * | 2014-11-19 | 2015-01-28 | 深圳市捷顺科技实业股份有限公司 | License plate recognition device parameter setting method and license plate recognizer |
| CN107393306A (en) * | 2015-06-29 | 2017-11-24 | 蒋春花 | Parking stall car plate movable type identification device |
| CN105336171A (en) * | 2015-10-16 | 2016-02-17 | 浙江宇视科技有限公司 | Camera position calibration method and device |
| CN105357440A (en) * | 2015-11-27 | 2016-02-24 | 苏州佳世达电通有限公司 | Focusing system and focusing method |
| CN108292439A (en) * | 2015-11-30 | 2018-07-17 | 德尔福技术有限责任公司 | For calibrating installation to the method for the orientation of the video camera of vehicle |
| CN108603997A (en) * | 2016-02-01 | 2018-09-28 | 索尼公司 | control device, control method and control program |
| CN205621287U (en) * | 2016-03-31 | 2016-10-05 | 四川省明厚天信息技术股份有限公司 | Number plate of vehicle recognition system |
| CN109076168A (en) * | 2016-05-18 | 2018-12-21 | 索尼公司 | control device, control method and program |
| CN106385544A (en) * | 2016-09-23 | 2017-02-08 | 浙江宇视科技有限公司 | Camera exposure adjustment method and apparatus |
| CN106375666A (en) * | 2016-09-26 | 2017-02-01 | 成都臻识科技发展有限公司 | License plate based automatic focusing method and device |
| CN108269405A (en) * | 2016-12-31 | 2018-07-10 | 泊领（天津）科技有限公司 | A kind of parking lot high definition Vehicle License Plate Recognition System |
| CN206460512U (en) * | 2017-01-24 | 2017-09-01 | 长沙全度影像科技有限公司 | A kind of multichannel fisheye camera caliberating device |
| CN206460515U (en) * | 2017-01-24 | 2017-09-01 | 长沙全度影像科技有限公司 | A kind of multichannel fisheye camera caliberating device based on stereo calibration target |
| CN207166624U (en) * | 2017-06-14 | 2018-03-30 | 杭州海康威视数字技术股份有限公司 | Grasp shoot device |
| CN206962940U (en) * | 2017-06-21 | 2018-02-02 | 北京易泊时代科技有限公司 | License plate recognition device |
| CN206948474U (en) * | 2017-07-05 | 2018-01-30 | 深圳市捷高电子科技有限公司 | A kind of quick focusing mechanism |
| CN107622690A (en) * | 2017-08-30 | 2018-01-23 | 成都臻识科技发展有限公司 | A kind of parking stall guiding camera position method of adjustment and device |
| CN107566727A (en) * | 2017-09-19 | 2018-01-09 | 深圳云停智能交通技术研究院有限公司 | A kind of video camera Automatic adjustment method |
| CN107610185A (en) * | 2017-10-12 | 2018-01-19 | 长沙全度影像科技有限公司 | A kind of fisheye camera fast calibration device and scaling method |
| CN108287229A (en) * | 2018-03-08 | 2018-07-17 | 吉林大学 | A kind of mud-rock flow groove channel erosion simulation experiment system |
| CN208298251U (en) * | 2018-04-17 | 2018-12-28 | 深圳市道通科技股份有限公司 | The caliberating device and system of vehicle-mounted camera |
| CN108875837A (en) * | 2018-06-27 | 2018-11-23 | 北京旷视科技有限公司 | Device and method for test target identification equipment |
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