CN112712706B - License plate recognition method - Google Patents

License plate recognition method Download PDF

Info

Publication number
CN112712706B
CN112712706B CN202011537736.4A CN202011537736A CN112712706B CN 112712706 B CN112712706 B CN 112712706B CN 202011537736 A CN202011537736 A CN 202011537736A CN 112712706 B CN112712706 B CN 112712706B
Authority
CN
China
Prior art keywords
license plate
vehicle
information
plate information
physical
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011537736.4A
Other languages
Chinese (zh)
Other versions
CN112712706A (en
Inventor
孙圣超
时旭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZTE Intelligent IoT Technology Co Ltd
Original Assignee
Gaoxing Zhilian Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Gaoxing Zhilian Technology Co ltd filed Critical Gaoxing Zhilian Technology Co ltd
Priority to CN202011537736.4A priority Critical patent/CN112712706B/en
Publication of CN112712706A publication Critical patent/CN112712706A/en
Application granted granted Critical
Publication of CN112712706B publication Critical patent/CN112712706B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/56Extraction of image or video features relating to colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/148Segmentation of character regions
    • G06V30/153Segmentation of character regions using recognition of characters or words
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a license plate recognition method, which comprises the following steps: the vehicle recognition device collects physical license plate information and electronic license plate information; the physical license plate information and the electronic license plate information at least comprise license plate numbers; judging whether the physical license plate information and the electronic license plate information are completely matched; if so, determining that the vehicle is a legal vehicle; if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information; if not, determining that the vehicle is an illegal vehicle; if so, determining whether the license plate is a legal vehicle or not according to the lane information and the vehicle color. Therefore, the invention can discriminate whether the license plate of the non-motor vehicle is tampered, smeared or shielded and the like by combining the video technology and the RFID technology, and provides a more efficient means for urban traffic safety to monitor the running of the non-motor vehicle.

Description

License plate recognition method
Technical Field
The invention relates to the technical field of vehicle management, in particular to a license plate recognition method.
Background
With the rapid development of urban traffic in China, the number of non-motor vehicles is increased explosively, and violation behaviors often occur in the driving process of the non-motor vehicles, so that the traffic pressure is higher and higher, therefore, the maintenance of urban road traffic safety and the guarantee of safe passage of people are extremely important tasks and targets of the society, and the supervision requirements on urban passage of non-motor vehicles and driving behaviors are very urgent.
In the prior art, driving behaviors of non-motor vehicles are generally monitored and recognized based on a video recognition technology, but the sizes, fonts and the like of the license plates of the non-motor vehicles in various cities are not unified, and the sizes of the license plates of the non-motor vehicles are generally relatively small, so that the difficulty in recognizing the license plates of the non-motor vehicles through the video technology is high, the recognition error rate is high, and the problems of tampering, smearing, shielding and the like of the license plates cannot be accurately determined.
Based on this, how to accurately identify the vehicle information of the non-motor vehicle, improve the identification rate, solve the problems of tampering, smearing, shielding and the like of the license plate of the non-motor vehicle, and realize the judgment of the illegal behaviors of the non-motor vehicle is a problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
The invention provides a license plate recognition method, which can accurately recognize vehicle information of a non-motor vehicle, improve the recognition rate, solve the problems of tampering, smearing, shielding and the like of the license plate of the non-motor vehicle and realize the judgment of illegal behaviors of the non-motor vehicle.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
in a first aspect, an embodiment of the present invention provides a license plate identification method, including: the vehicle recognition device collects physical license plate information and electronic license plate information; the physical license plate information and the electronic license plate information at least comprise license plate numbers;
judging whether the physical license plate information and the electronic license plate information are completely matched;
if so, determining that the vehicle is a legal vehicle;
if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information;
if not, determining that the vehicle is an illegal vehicle;
if so, determining whether the license plate is a legal vehicle or not according to the lane information and the vehicle color.
Optionally, in the embodiment of the present invention, determining whether the license plate is a legal vehicle according to the lane information and the vehicle color specifically includes:
the physical license plate information and the electronic license plate information further comprise lane information and vehicle colors;
judging whether the lane information and the vehicle color in the physical license plate information are completely matched with the lane information and the vehicle color in the electronic license plate information;
if so, determining that the vehicle is a legal vehicle;
if not, determining that the vehicle is an illegal vehicle.
Optionally, in an embodiment of the present invention, the vehicle identification device is configured as a video and radio frequency integrated machine.
Optionally, in an embodiment of the present invention, the video and radio frequency all-in-one machine includes a video identification module and a radio frequency identification module;
the video recognition module captures a license plate of the non-motor vehicle;
and the radio frequency identification module sends a radio frequency tag to the electronic license plate of the non-motor vehicle so that a reader can read the electronic license plate information.
Optionally, in an embodiment of the present invention, the video identification module includes a camera and a processor;
the camera captures the license plate to form a license plate image, and the processor processes the license plate image and extracts the physical license plate information.
Optionally, in an embodiment of the present invention, the video and radio frequency integrated machine is disposed on an electronic police tower.
Optionally, in an embodiment of the present invention, the reader is disposed on a traffic light bar frame.
In a second aspect, an embodiment of the present invention provides a license plate recognition apparatus, including:
the acquisition module is used for acquiring physical license plate information and electronic license plate information by the vehicle identification device;
the judging module is used for judging whether the physical license plate information and the electronic license plate information are completely matched; if so, determining that the vehicle is a legal vehicle; if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information; if not, determining that the vehicle is an illegal vehicle; if so, determining whether the license plate is an illegal vehicle according to the lane information and the vehicle color.
The invention has the advantages and positive effects that:
firstly, in the invention, when the physical license plate information and the electronic license plate information are not completely matched, whether the license plate is a legal vehicle can be determined through the lane information and the vehicle color, and specifically, when the lane information in the physical license plate information is completely matched with the vehicle color and the lane information in the electronic license plate information is completely matched with the vehicle color, the vehicle is determined to be a legal vehicle; otherwise, determining that the vehicle is an illegal vehicle. Therefore, the situation that the physical license plate information and the electronic license plate are not completely matched due to inaccurate physical license plate information acquired by the video and radio frequency integrated machine is avoided, and the matching accuracy is improved.
Secondly, by arranging the video recognition module of the video and radio frequency integrated machine, the license plate information of the non-motor vehicle can be captured, whether illegal behaviors exist in driving personnel can be monitored, and specifically, whether the non-motor vehicle occupies a motor vehicle lane, runs reversely, runs in violation of a signal lamp and does not wear a helmet and other illegal behaviors can be recognized.
And thirdly, by arranging the radio frequency identification module of the video and radio frequency integrated machine, the electronic license plate information can be acquired, the vehicle can be positioned, and the real-time monitoring of the vehicle is realized.
Fourthly, the invention can discriminate whether the license plate of the non-motor vehicle is falsified, smeared or shielded and the like through the combination of the video technology and the RFID technology, and provides a more efficient means for the urban traffic safety to the running supervision of the non-motor vehicle.
Drawings
FIG. 1 is a flow chart of a license plate recognition method according to the present invention;
fig. 2 is a schematic structural diagram of a license plate recognition device provided in the present invention.
Detailed Description
The description of the present invention referring to "first", "second", etc. is for descriptive purposes only, not specifically referring to the sequential or chronological meanings, but also not for limiting the present invention, and it is only for distinguishing the components or operations described in the same technical terms, and it is not to be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated, whereby the features defined as "first", "second", etc. may explicitly or implicitly include at least one of the features.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiments of the invention will be described in further detail below with reference to the accompanying drawings:
the license plate recognition method provided by the invention is shown in fig. 1 and comprises the following steps: the vehicle recognition device collects physical license plate information and electronic license plate information; the physical license plate information and the electronic license plate information at least comprise license plate numbers;
judging whether the physical license plate information and the electronic license plate information are completely matched;
if so, determining that the vehicle is a legal vehicle;
if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information;
if not, determining that the vehicle is an illegal vehicle;
if so, determining whether the license plate is a legal vehicle or not according to the lane information and the vehicle color.
Therefore, the invention can discriminate whether the license plate of the non-motor vehicle is tampered, smeared or shielded and the like by combining the video technology and the RFID technology, and provides a more efficient means for urban traffic safety to monitor the running of the non-motor vehicle.
Optionally, in the embodiment of the present invention, determining whether the license plate is a legal vehicle according to the lane information and the vehicle color specifically includes:
the physical license plate information and the electronic license plate information further comprise lane information and vehicle colors;
judging whether the lane information and the vehicle color in the physical license plate information are completely matched with the lane information and the vehicle color in the electronic license plate information;
if so, determining that the vehicle is a legal vehicle;
if not, determining that the vehicle is an illegal vehicle.
It should be noted that, when the radio frequency integrated machine is used for collecting physical license plate information, there may be inaccuracy of the collected physical license plate information due to weather, for example, in rainy days, the physical license plate information (for example, jing P5B 958) is recognized incorrectly due to dark light, and the recognized physical license plate information is jing P5B95B, that is, the last character of the physical license plate information is recognized incorrectly (i.e., "8" is recognized as "B"), however, in practical cases, the physical license plate information and the electronic license plate information of the vehicle are matched. Therefore, the physical license plate information acquired by the radio frequency integrated machine is inaccurate, so that the physical license plate information and the electronic license plate are not completely matched, at the moment, whether the vehicle is a legal vehicle can be determined according to the lane information and the vehicle color, and when the lane information in the physical license plate information is completely matched with the lane information in the vehicle color and the vehicle color in the electronic license plate information, the vehicle is determined to be a legal vehicle; otherwise, determining that the vehicle is an illegal vehicle. Therefore, the situation that the physical license plate information and the electronic license plate are not completely matched due to inaccurate physical license plate information acquired by the video and radio frequency integrated machine is avoided, and the matching accuracy is improved.
When there is character mismatch within two between the physical license plate information and the electronic license plate information, the following two situations can be referred to:
the first condition is as follows: the actual physical license plate information is Jing P5B958, and the physical license plate information collected by the radio frequency integrated machine is Jing P5B95B, that is, the physical license plate information and the electronic license plate information have a character mismatch;
case two: the actual physical license plate information is Jing P5B958, and the physical license plate information collected by the radio frequency all-in-one machine is Jing P5895B, that is to say, the physical license plate information and the electronic license plate information have a character mismatch.
In summary, when the first condition and the second condition occur, in the present invention, it is necessary to continuously determine whether the lane information and the vehicle color are the same, where the physical license plate information and the electronic license plate information further include the lane information and the vehicle color, which can be specifically referred to in the following.
For example, when the lane information of the physical license plate information is lane 1 and the color of the vehicle is black, and when the lane information of the electronic license plate information is lane 1 and the color of the vehicle is black, it may be determined that the vehicle is a legal vehicle;
it should be noted that, as long as the lane information and the vehicle color are not completely matched, in the present invention, it is also necessary to determine whether the vehicle types are matched, where the physical license plate information and the electronic license plate information also include vehicle type information.
For example two, when the lane information of the physical license plate information is lane 2 and the vehicle color is black, and when the lane information of the electronic license plate information is lane 1 and the vehicle color is black, or when the lane information of the physical license plate information is lane 3 and the vehicle color is black, and when the lane information of the electronic license plate information is lane 3 and the vehicle color is white, that is, the lane information and the vehicle color are not completely matched, it is also necessary to determine whether the vehicle types are matched.
Specifically, when the vehicle type (for example, non-motor vehicle) in the physical license plate information and the vehicle type (for example, non-motor vehicle) in the electronic license plate information match, it may be determined that the vehicle is a legal vehicle; when the vehicle type (for example, non-motor vehicle) in the physical license plate information and the vehicle type (for example, motor vehicle) in the electronic license plate information do not match, the vehicle can be determined to be illegal.
Optionally, in the embodiment of the present invention, the vehicle identification device is configured as a video-radio integrated machine.
Therefore, physical license plate information and electronic license plate information can be collected through the radio frequency integrated machine, other vehicle identification devices are not required to be added, the cost is reduced, and the practicability is high.
Optionally, in the embodiment of the present invention, the video and radio frequency all-in-one machine includes a video identification module and a radio frequency identification module;
the video recognition module captures a license plate of the non-motor vehicle;
and the radio frequency identification module sends a radio frequency tag to the electronic license plate of the non-motor vehicle so that a reader can read the electronic license plate information.
Therefore, the electronic license plate information is determined, and the subsequent matching of the electronic license plate information and the physical license plate information is facilitated.
Optionally, in an embodiment of the present invention, the video identification module includes a camera and a processor;
the camera captures the license plate to form a license plate image, and the processor processes the license plate image and extracts the physical license plate information.
Therefore, whether the physical license plate information is accurate or not is convenient to determine subsequently.
Optionally, in the embodiment of the present invention, the radio-frequency integrated machine is disposed on an electronic police pole frame.
Optionally, in an embodiment of the present invention, the reader is disposed on a traffic light bar frame.
Therefore, the radio frequency integrated machine is arranged on the electronic police pole frame, the reader is arranged on the traffic light pole frame, and a certain distance is reserved between the electronic police pole frame and the traffic light pole frame, so that physical license plate information and electronic license plate information are collected through the radio frequency integrated machine, the problem that whether license plates of non-motor vehicles are smeared or not can be determined, the driving speed of the non-motor vehicles within a period of time can be determined, and the problem that the non-motor vehicles are overspeed or not can be determined.
Based on the same inventive concept, embodiments of the present invention provide a license plate recognition apparatus, an implementation principle of the apparatus is similar to that of the aforementioned license plate recognition method, and reference may be made to the above-mentioned implementation manner of the license plate recognition method specifically, and repeated details are not repeated.
Specifically, as shown in fig. 2, the license plate recognition device provided in the embodiment of the present invention may include:
the acquisition module 201 is used for acquiring physical license plate information and electronic license plate information by a vehicle identification device;
the judging module 201 is configured to judge whether the physical license plate information and the electronic license plate information are completely matched; if so, determining that the vehicle is a legal vehicle; if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information; if not, determining that the vehicle is an illegal vehicle; if so, determining whether the license plate is a illegal vehicle or not according to the lane information and the vehicle color.
It should be emphasized that the embodiments described herein are illustrative rather than restrictive, and thus the present invention is not limited to the embodiments described in the detailed description, but other embodiments derived from the technical solutions of the present invention by those skilled in the art are also within the scope of the present invention.

Claims (7)

1. A license plate recognition method is characterized by comprising the following steps:
the vehicle recognition device collects physical license plate information and electronic license plate information; the physical license plate information and the electronic license plate information at least comprise license plate numbers;
judging whether the physical license plate information and the electronic license plate information are completely matched;
if so, determining that the vehicle is a legal vehicle;
if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information;
if not, determining that the vehicle is an illegal vehicle;
if yes, determining whether the license plate is a legal vehicle or not according to the lane information and the vehicle color;
whether the license plate is a legal vehicle is determined through the lane information and the vehicle color, and the method specifically comprises the following steps:
the physical license plate information and the electronic license plate information further comprise lane information and vehicle colors;
judging whether the lane information and the vehicle color in the physical license plate information are completely matched with the lane information and the vehicle color in the electronic license plate information;
if so, determining that the vehicle is a legal vehicle;
if not, determining that the vehicle is an illegal vehicle.
2. The method of claim 1, wherein the vehicle identification device is configured as a video-radio integrated machine.
3. The method for recognizing the license plate of claim 2, wherein the video and radio frequency all-in-one machine comprises a video recognition module and a radio frequency recognition module;
the video recognition module captures a license plate of the non-motor vehicle;
and the radio frequency identification module sends a radio frequency tag to the electronic license plate of the non-motor vehicle so that a reader can read the electronic license plate information.
4. The method for recognizing the license plate of claim 3, wherein the video recognition module comprises a camera and a processor;
the camera captures the license plate to form a license plate image, and the processor processes the license plate image and extracts the physical license plate information.
5. The method of claim 4, wherein the video and radio frequency integrated machine is arranged on an electronic police stand.
6. The method of claim 3, wherein the reader is disposed on a traffic light bar.
7. A recognition apparatus for a license plate, comprising:
the acquisition module is used for acquiring physical license plate information and electronic license plate information by the vehicle identification device; the physical license plate information and the electronic license plate information at least comprise license plate numbers;
the judging module is used for judging whether the physical license plate information and the electronic license plate information are completely matched; if so, determining that the vehicle is a legal vehicle; if not, judging whether the characters within two are not matched with each other in the physical license plate information and the electronic license plate information; if not, determining that the vehicle is an illegal vehicle; if yes, determining whether the license plate is a legal vehicle or not according to the lane information and the vehicle color; the physical license plate information and the electronic license plate information further comprise lane information and vehicle colors; judging whether the lane information and the vehicle color in the physical license plate information are completely matched with the lane information and the vehicle color in the electronic license plate information; if so, determining that the vehicle is a legal vehicle; if not, determining that the vehicle is an illegal vehicle.
CN202011537736.4A 2020-12-23 2020-12-23 License plate recognition method Active CN112712706B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011537736.4A CN112712706B (en) 2020-12-23 2020-12-23 License plate recognition method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011537736.4A CN112712706B (en) 2020-12-23 2020-12-23 License plate recognition method

Publications (2)

Publication Number Publication Date
CN112712706A CN112712706A (en) 2021-04-27
CN112712706B true CN112712706B (en) 2022-06-07

Family

ID=75543710

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011537736.4A Active CN112712706B (en) 2020-12-23 2020-12-23 License plate recognition method

Country Status (1)

Country Link
CN (1) CN112712706B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113936348A (en) * 2021-12-17 2022-01-14 高新兴智联科技有限公司 Automobile operation service method, system, electronic equipment and storage medium
CN115359665A (en) * 2022-08-17 2022-11-18 北京博宏科元信息科技有限公司 Multichannel violation vehicle recording method and device based on radio frequency video all-in-one machine

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105160716A (en) * 2015-08-19 2015-12-16 重庆市华驰交通科技有限公司 System and method for preventing vehicle fee avoidance and evasion
CN206805635U (en) * 2017-05-18 2017-12-26 北京万集科技股份有限公司 A kind of anti-cheating checking devices of laser type ETC
CN207052091U (en) * 2017-06-28 2018-02-27 上海悦钦建筑安装工程有限公司 A kind of preventing road monitoring system based on big data network
CN107798510A (en) * 2017-09-27 2018-03-13 北京市振隆科技股份有限公司 Electric bicycle, motorcycle, motor tricycle monitoring management system and its method
KR20190061548A (en) * 2017-11-28 2019-06-05 (주)일양엔지니어링 Four-row belt structure lifter of automatic cargo loading and unloading system

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101799984A (en) * 2009-02-10 2010-08-11 上海宝康电子控制工程有限公司 System and method for automatically verifying electronic license plate and actual license plate
CN105279971B (en) * 2015-10-09 2017-11-14 北京易华录信息技术股份有限公司 A kind of information of vehicles matching process, system and supervising device
CN107122883A (en) * 2017-03-22 2017-09-01 北京零科技有限公司 A kind of electric car managing and control system based on radio frequency identification and intelligent video technology
CN206726449U (en) * 2017-05-28 2017-12-08 四川海华众讯信息技术有限公司 A kind of road traffic unlawful practice analyzing and alarming system based on big data analysis platform
CN107798879A (en) * 2017-10-25 2018-03-13 济南浪潮高新科技投资发展有限公司 A kind of method of Intelligent Recognition fake-licensed car
CN108022427A (en) * 2017-10-30 2018-05-11 深圳市赛亿科技开发有限公司 A kind of recognition methods of fake license plate vehicle and system
CN108520629B (en) * 2018-04-09 2021-02-09 天津中兴智联科技有限公司 Judging method of fake license plate identification system
CN108596119A (en) * 2018-04-28 2018-09-28 江苏本能科技有限公司 Radio frequency identification and video identification matching process and system, equipment, storage medium
JP6945495B2 (en) * 2018-05-21 2021-10-06 三菱電機株式会社 Unauthorized traffic detection device, unauthorized traffic detection system and unauthorized traffic detection method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105160716A (en) * 2015-08-19 2015-12-16 重庆市华驰交通科技有限公司 System and method for preventing vehicle fee avoidance and evasion
CN206805635U (en) * 2017-05-18 2017-12-26 北京万集科技股份有限公司 A kind of anti-cheating checking devices of laser type ETC
CN207052091U (en) * 2017-06-28 2018-02-27 上海悦钦建筑安装工程有限公司 A kind of preventing road monitoring system based on big data network
CN107798510A (en) * 2017-09-27 2018-03-13 北京市振隆科技股份有限公司 Electric bicycle, motorcycle, motor tricycle monitoring management system and its method
KR20190061548A (en) * 2017-11-28 2019-06-05 (주)일양엔지니어링 Four-row belt structure lifter of automatic cargo loading and unloading system

Also Published As

Publication number Publication date
CN112712706A (en) 2021-04-27

Similar Documents

Publication Publication Date Title
US6442474B1 (en) Vision-based method and apparatus for monitoring vehicular traffic events
CN109637151B (en) Method for identifying illegal driving of emergency lane on highway
CN112712706B (en) License plate recognition method
CN105702048B (en) Highway front truck illegal road occupation identifying system based on automobile data recorder and method
CN103927886B (en) A kind of supervise the emphasis haulage vehicle illegal system and method for hypervelocity
CN106373426A (en) Computer vision-based parking space and illegal lane occupying parking monitoring method
CN110866479A (en) Method, device and system for detecting that motorcycle driver does not wear helmet
CN105550654B (en) Bullet train image capturing system, real-time license number detection system and method
EA016732B1 (en) System and method for detection of average speed of vehicles for traffic control
CN103914682A (en) Vehicle license plate recognition method and system
CN103824037A (en) Vehicle anti-tracking alarm device
CN112651612A (en) Modern urban road running condition real-time online monitoring and early warning management cloud platform based on big data and cloud computing
CN111785050A (en) Expressway fatigue driving early warning device and method
CN103198669A (en) Video monitoring system in intelligent transportation system
CN105761478A (en) An intelligent traffic management method based on internet of things
CN106548627A (en) A kind of RFID sensing road monitoring systems based on car networking
CN111339337A (en) Method for labeling penalty treatment based on road traffic law-violation behaviors
CN204946059U (en) Automotive electronics display label
CN110909641A (en) Method, device and system for detecting overload of motorcycle
CN115662154A (en) Intelligent signal lamp system based on video monitoring
CN114693722A (en) Vehicle driving behavior detection method, detection device and detection equipment
CN112435470A (en) Traffic incident video detection system
CN214253421U (en) Monitoring and early warning system for road tunnel hazardous chemical substance transport vehicle
CN112349104B (en) System and method for tracking identity of vehicle driver by using police vehicle-mounted equipment
CN114299721B (en) Method and device for recording red light running of vehicle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder

Address after: Room 401, building 12, East Airport Business Park, 80 Huanhe North Road, Tianjin pilot free trade zone (Airport Economic Zone), Binhai New Area, Tianjin

Patentee after: Zte Intelligent Iot Technology Co.,Ltd.

Address before: Room 401, building 12, East Airport Business Park, 80 Huanhe North Road, Tianjin pilot free trade zone (Airport Economic Zone), Binhai New Area, Tianjin

Patentee before: Gaoxing Zhilian Technology Co.,Ltd.

CP01 Change in the name or title of a patent holder