WO2017124302A1 - Procédé et système de reconnaissance d'infraction pour transports intelligents - Google Patents

Procédé et système de reconnaissance d'infraction pour transports intelligents Download PDF

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Publication number
WO2017124302A1
WO2017124302A1 PCT/CN2016/071377 CN2016071377W WO2017124302A1 WO 2017124302 A1 WO2017124302 A1 WO 2017124302A1 CN 2016071377 W CN2016071377 W CN 2016071377W WO 2017124302 A1 WO2017124302 A1 WO 2017124302A1
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WO
WIPO (PCT)
Prior art keywords
license plate
vehicle
photo
license
plates
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.)
Ceased
Application number
PCT/CN2016/071377
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English (en)
Chinese (zh)
Inventor
冯旋宇
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to PCT/CN2016/071377 priority Critical patent/WO2017124302A1/fr
Priority to CN201680000277.1A priority patent/CN105684059A/zh
Publication of WO2017124302A1 publication Critical patent/WO2017124302A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • 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
    • 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

Definitions

  • the invention relates to the field of communication and intelligent transportation, and in particular relates to a method and system for identifying violations of intelligent traffic.
  • Intelligent Transportation System Intelligent Transportation System
  • ITS Intelligent Transportation System
  • the invention provides a method for identifying a violation of intelligent traffic, which solves the shortcomings of the prior art that the violation of the recognition deck is not realized.
  • a method for identifying a violation of intelligent traffic includes the following steps:
  • the method further includes:
  • the first license plate is deleted.
  • the method further includes:
  • the second photo of the vehicle is acquired, and the second photo is compared with the first photo. If the second photo is consistent, the second photo is deleted, and if it is inconsistent, it is determined to be a deck vehicle. Call the police.
  • a violation identification system for intelligent transportation comprising:
  • An identification unit configured to capture a first photo of the vehicle, and identify the license plate to obtain a first license plate
  • the alarm unit is configured to acquire other license plates that are out of the set range. If the other license plates are the same as the first license plate, it is determined that the deck vehicle is present and an alarm is issued;
  • system further includes:
  • the deleting unit is used to delete the first license plate if the other license plate is different from the first license plate.
  • system further includes:
  • a matching unit configured to acquire a second photo of the vehicle when the same vehicle as the first license plate is identified, compare the second photo with the first photo, and if the image is consistent, delete the second photo, if not, determine For the deck vehicle, an alarm is issued.
  • a photograph of the vehicle is taken, the license plate is identified to obtain the first license plate, and other license plates exceeding the set range are acquired. If the other license plates are the same as the first license plate, the deck vehicle is determined to be alarmed and recorded. The two license plates correspond to the picture of the vehicle, so they have the advantage of identifying the deck car.
  • FIG. 1 is a flow chart of a method for identifying a violation of an intelligent traffic provided by the present invention
  • FIG. 2 is a structural diagram of an illegal traffic identification system according to the present invention.
  • FIG. 1 is a flowchart of a method for identifying a violation of an intelligent traffic according to a first preferred embodiment of the present invention.
  • the method is implemented by a server.
  • the method is as shown in FIG. 1 and includes the following steps:
  • Step S101 photographing a first photo of the vehicle, and identifying the license plate to obtain a first license plate;
  • Step S102 Acquire another license plate that is out of the set range. If the other license plate is the same as the first license plate, determine that the deck vehicle is present and perform an alarm;
  • Step S103 and recording a picture of the two license plates corresponding to the vehicle.
  • a photograph of the vehicle is taken, the license plate is identified to obtain the first license plate, and other license plates exceeding the set range are acquired. If the other license plates are the same as the first license plate, the deck vehicle is determined to be alarmed and recorded. The two license plates correspond to the picture of the vehicle, so they have the advantage of identifying the deck car.
  • the foregoing method may further include:
  • the first license plate is deleted.
  • the foregoing method may further include:
  • the second photo of the vehicle is acquired, and the second photo is compared with the first photo. If the second photo is consistent, the second photo is deleted, and if it is inconsistent, it is determined to be a deck vehicle. Call the police.
  • FIG. 2 is a schematic diagram of a violation identification system for intelligent traffic according to a second preferred embodiment of the present invention.
  • the system includes:
  • the identification unit 201 is configured to capture a first photo of the vehicle, and identify the license plate to obtain a first license plate;
  • the alarm unit 202 is configured to acquire other license plates that are out of the set range. If the other license plates are the same as the first license plate, determine that the deck vehicle is present and perform an alarm;
  • the storage unit 203 is configured to record a picture of the two license plate corresponding vehicles.
  • a photograph of the vehicle is taken, the license plate is identified to obtain the first license plate, and other license plates exceeding the set range are acquired. If the other license plates are the same as the first license plate, the deck vehicle is determined to be alarmed and recorded. The two license plates correspond to the picture of the vehicle, so they have the advantage of identifying the deck car.
  • the above system may further include:
  • the deleting unit 204 is configured to delete the first license plate if the other license plates are different from the first license plate.
  • the above system may further include:
  • the matching unit 205 is configured to: when identifying the same vehicle as the first license plate, acquire a second photo of the vehicle, compare the second photo with the first photo, and if yes, delete the second photo, if not, Determined as a deck vehicle, an alarm is issued.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another.
  • a storage medium may be any available media that can be accessed by a computer.
  • the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium.
  • a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Vehicle Waterproofing, Decoration, And Sanitation Devices (AREA)

Abstract

Procédé et système de reconnaissance d'infraction pour transports intelligents. Le procédé comprend les étapes consistant : à capturer une première photo d'un véhicule et à reconnaître la plaque d'immatriculation du véhicule afin d'obtenir une première plaque d'immatriculation (101) ; à obtenir une autre plaque d'immatriculation qui va au-delà d'une plage définie, et, si l'autre plaque d'immatriculation est identique à la première plaque d'immatriculation, à déterminer qu'un véhicule utilisant une fausse plaque d'immatriculation apparaît et à émettre une alarme (102) ; puis à enregistrer les images des véhicules correspondant aux deux plaques d'immatriculation (103). Le procédé peut reconnaître intelligemment un véhicule utilisant une fausse plaque d'immatriculation.
PCT/CN2016/071377 2016-01-19 2016-01-19 Procédé et système de reconnaissance d'infraction pour transports intelligents Ceased WO2017124302A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2016/071377 WO2017124302A1 (fr) 2016-01-19 2016-01-19 Procédé et système de reconnaissance d'infraction pour transports intelligents
CN201680000277.1A CN105684059A (zh) 2016-01-19 2016-01-19 智能交通的违章识别方法及系统

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/071377 WO2017124302A1 (fr) 2016-01-19 2016-01-19 Procédé et système de reconnaissance d'infraction pour transports intelligents

Publications (1)

Publication Number Publication Date
WO2017124302A1 true WO2017124302A1 (fr) 2017-07-27

Family

ID=56215768

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/071377 Ceased WO2017124302A1 (fr) 2016-01-19 2016-01-19 Procédé et système de reconnaissance d'infraction pour transports intelligents

Country Status (2)

Country Link
CN (1) CN105684059A (fr)
WO (1) WO2017124302A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108510747A (zh) * 2018-04-14 2018-09-07 苏州远征魂车船技术有限公司 套牌车辆的识别方法
CN109887300A (zh) * 2019-02-21 2019-06-14 北京三快在线科技有限公司 一种识别套牌车辆的方法、装置、设备及存储介质
CN115601974A (zh) * 2022-09-29 2023-01-13 广州天长信息技术有限公司（Cn） 一种高速路套牌车辆确定方法及装置

Citations (6)

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Publication number Priority date Publication date Assignee Title
US20040233036A1 (en) * 2003-05-22 2004-11-25 Sefton Alan K. Automated site security, monitoring and access control system
CN101540105A (zh) * 2009-04-15 2009-09-23 四川川大智胜软件股份有限公司 一种基于车辆牌照识别和网格化监控的套牌车检测方法
CN101950484A (zh) * 2010-05-12 2011-01-19 刘伟 鉴别车牌真伪的方法
CN102881169A (zh) * 2012-09-26 2013-01-16 青岛海信网络科技股份有限公司 套牌车的检测方法
CN104517445A (zh) * 2014-12-09 2015-04-15 浪潮电子信息产业股份有限公司 一种基于大数据的套牌车辆识别方法
CN104700620A (zh) * 2014-03-28 2015-06-10 杭州海康威视数字技术股份有限公司 一种基于交通卡口的套牌车辆识别方法和装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040233036A1 (en) * 2003-05-22 2004-11-25 Sefton Alan K. Automated site security, monitoring and access control system
CN101540105A (zh) * 2009-04-15 2009-09-23 四川川大智胜软件股份有限公司 一种基于车辆牌照识别和网格化监控的套牌车检测方法
CN101950484A (zh) * 2010-05-12 2011-01-19 刘伟 鉴别车牌真伪的方法
CN102881169A (zh) * 2012-09-26 2013-01-16 青岛海信网络科技股份有限公司 套牌车的检测方法
CN104700620A (zh) * 2014-03-28 2015-06-10 杭州海康威视数字技术股份有限公司 一种基于交通卡口的套牌车辆识别方法和装置
CN104517445A (zh) * 2014-12-09 2015-04-15 浪潮电子信息产业股份有限公司 一种基于大数据的套牌车辆识别方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108510747A (zh) * 2018-04-14 2018-09-07 苏州远征魂车船技术有限公司 套牌车辆的识别方法
CN109887300A (zh) * 2019-02-21 2019-06-14 北京三快在线科技有限公司 一种识别套牌车辆的方法、装置、设备及存储介质
CN109887300B (zh) * 2019-02-21 2022-05-06 北京三快在线科技有限公司 一种识别套牌车辆的方法、装置、设备及存储介质
CN115601974A (zh) * 2022-09-29 2023-01-13 广州天长信息技术有限公司（Cn） 一种高速路套牌车辆确定方法及装置

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Publication number Publication date
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