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CN100365651C - Method of recognizing problem vehicles - Google Patents

Method of recognizing problem vehicles Download PDF

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Publication number
CN100365651C
CN100365651C CNB2005101010919A CN200510101091A CN100365651C CN 100365651 C CN100365651 C CN 100365651C CN B2005101010919 A CNB2005101010919 A CN B2005101010919A CN 200510101091 A CN200510101091 A CN 200510101091A CN 100365651 C CN100365651 C CN 100365651C
Authority
CN
China
Prior art keywords
vehicle
information
license plate
vehicles
video camera
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.)
Expired - Fee Related
Application number
CNB2005101010919A
Other languages
Chinese (zh)
Other versions
CN1834994A (en
Inventor
吴秋允
高剑平
朱福建
彭毓
芦厚祥
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.)
Shenzhen Aibo Communication Co ltd
Original Assignee
IBO INFORMATION (SHENZHEN) 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
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Application filed by IBO INFORMATION (SHENZHEN) CO Ltd filed Critical IBO INFORMATION (SHENZHEN) CO Ltd
Priority to CNB2005101010919A priority Critical patent/CN100365651C/en
Priority to PCT/CN2006/000332 priority patent/WO2007053985A1/en
Publication of CN1834994A publication Critical patent/CN1834994A/en
Application granted granted Critical
Publication of CN100365651C publication Critical patent/CN100365651C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/04Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • 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

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Character Discrimination (AREA)

Abstract

The present invention relates to a method for recognizing problem vehicles, which comprises the following steps that a video camera shoots a vehicle, and the information of the vehicle is extracted by image processing software; encryption information in an electronic vehicle license plate installed on the vehicle is read by a radio-frequency reader-writer matched with an encryption system of the electronic vehicle license plate. The vehicle information which is obtained from the video camera and is extracted by the image processing software is compared with the electronic vehicle license plate information read from the radio-frequency reader-writer; when both of the information disaccord, the vehicle is judged as a problem vehicle and is required to stop for checking. Because the electronic vehicle license plate after encrypted is impossible to copy, if the vehicle is a problem vehicle, the radio-frequency reader-writer can not read the electronic vehicle license plate information or the read electronic vehicle license plate information is not inosculated with the vehicle information extracted from the video camera and the image processing software. The present invention solves the technical problem that the existing method can not effectively recognize problem vehicles because the problem vehicles are not listed in a blacklist or the vehicle license plate is false and is bought from a forger.

Description

A kind of identification has the method for problem vehicle
Technical field
The present invention relates to discern the method that the problem vehicle is arranged.
Prior art
Adopt inspection to have the method for problem vehicle to be in the market: to be organized into " blacklist " according to channels such as report, records violating the regulations, blacklist is imported the software systems of image recognition, the law enfrocement official discerns the car plate of camera alignment driving vehicle, with license plate number and the blacklist contrast that identifies, if belong to the car plate in the blacklist, then can report to the police, the law enfrocement official tackles.Since this method is used, improved greatly the inspection of problem vehicle efficient has been arranged, if but one has problem car not enter " blacklist " or buy one pair of false car plate again from fake producer's hand, existing method just can't be discerned, and has problem car just can be at large.
Summary of the invention
The invention provides a kind of identification has the method for problem vehicle, does not enter " blacklist " or buy the technical matters that one pair of false car plate can't effectively be discerned again from fake producer's hand because of problem car is arranged to solve existing method.
In order to solve above technical matters, the technical scheme that the present invention takes is:
The first step is taken vehicle and is extracted information of vehicles through image processing software by video camera, reads by the frequency read/write that is complementary with the electronic license plate encryption system and is installed on the enciphered message in the electronic license plate on the vehicle.
In second step, the information of vehicles that will obtain and extract through image processing software from video camera and compare from the electronic license plate information that frequency read/write is read can be judged as the problem vehicle during both information inconsistencies and required its parking checking.
Can further include for the 3rd step, will from video camera take vehicle and through the information of vehicles that image processing software extracts compare with the electronic license plate information of reading from frequency read/write and confirm consistent after, also other information of vehicle that further provide with vehicle management department are verified, determine whether vehicle exists other problems, if exist, also be judged as the problem vehicle and required its parking checking.
After having adopted technique scheme, because through the electronic license plate after encrypting is impossible by imitated, and each car only is equipped with one, if the problem vehicle is arranged, then inevitablely have a kind of in following three kinds of phenomenons at least: 1) read write line can't read information from electronic license plate; 2) information that reads from electronic license plate of read write line is inconsistent with the information of vehicles that obtains from video camera and extract through image processing software; 3) car pipe department is designated and has other problems.Therefore, having solved existing method does not enter " blacklist " or buy the technical matters that one pair of false car plate can't effectively be discerned again from fake producer's hand because of problem car is arranged.
Embodiment
A kind of identification has the method for problem vehicle, it is characterized in that, may further comprise the steps: (one) takes vehicle and extracts information of vehicles through image processing software by video camera, reads by the frequency read/write that is complementary with the electronic license plate encryption system and is installed on the enciphered message in the electronic license plate on the vehicle.(2) will compare from video camera information of vehicles that obtains and extract through image processing software and the electronic license plate information of reading, and can be judged as the problem vehicle during both information inconsistencies and require its parking checking from frequency read/write.(3) will from video camera take vehicle and through the information of vehicles that image processing software extracts compare with the electronic license plate information of reading from frequency read/write and confirm consistent after, also other information of vehicle that further provide with vehicle management department are verified, determine whether vehicle exists other problems, if exist, also be judged as the problem vehicle and required its parking checking.Here said information of vehicles includes but not limited to license plate number, operation identification information, vehicle; Said electronic license plate information includes but not limited to license plate number, operation information, type of vehicle, car owner's name, engine model; Have the problem vehicle to refer to: 1) smuggling, robber rob vehicle; 2) cover board, false-trademark vehicle; 3) illegal commerial vehicle; 4) vehicle that has other problems is assert by car pipe department.
Owing on each car, electronic license plate is installed, in electronic license plate, write encrypted information of vehicles, have only the frequency read/write of mandate to carry out read/write operation to it, simultaneously set up video camera, frequency read/write and industrial computer/or other embedded device (being designated hereinafter simply as " monitoring point ") at each arterial traffic, and link to each other with central server by network, PDA or other alarming devices (hereinafter to be referred as PDA) link to each other with server by GPRS/CDMA1X/ or other connected modes.The law enfrocement official only need carry PDA and stand in apart from the monitoring point about 100 meters place, and when vehicle during through the monitoring point, video camera can be taken vehicle, extracts information of vehicles through image recognition software, and meanwhile frequency read/write can read the information in the electronic license plate.Because through the electronic license plate after encrypting is impossible by imitated, and each car only is equipped with one, if the problem vehicle is arranged, then the information of vehicles that obtains and extract through image processing software from video camera is different with the electronic license plate information certainty of reading from frequency read/write, perhaps after other information of vehicle that provide with vehicle management department are verified, determine that automobile storage is at other problems.After discovery had problem car, industrial computer can will have the number-plate number of problem vehicle to send to server, and server sends to the other law enfrocement official in monitoring point by GPRS/CDMA1X/ or other connected mode networks, and the law enfrocement official can tackle and seize.

Claims (2)

1. an identification has the method for problem vehicle, it is characterized in that, may further comprise the steps: (one) takes vehicle and extracts information of vehicles through image processing software by video camera, reads by the frequency read/write that is complementary with the electronic license plate encryption system and is installed on the enciphered message in the electronic license plate on the vehicle; (2) will compare from video camera information of vehicles that obtains and extract through image processing software and the electronic license plate information of reading, and can be judged as the problem vehicle during both information inconsistencies and require its parking checking from frequency read/write.
2. identification as claimed in claim 1 has the method for problem vehicle, it is characterized in that, further comprising the steps of: will from video camera take vehicle and through the information of vehicles that image processing software extracts compare with the electronic license plate information of reading from frequency read/write and confirm consistent after, also other information of vehicle that further provide with vehicle management department are verified, determine whether vehicle exists other problems, if exist, also be judged as the problem vehicle and required its parking checking.
CNB2005101010919A 2005-11-09 2005-11-09 Method of recognizing problem vehicles Expired - Fee Related CN100365651C (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CNB2005101010919A CN100365651C (en) 2005-11-09 2005-11-09 Method of recognizing problem vehicles
PCT/CN2006/000332 WO2007053985A1 (en) 2005-11-09 2006-03-06 A method of identifying the vehicle with some matter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB2005101010919A CN100365651C (en) 2005-11-09 2005-11-09 Method of recognizing problem vehicles

Publications (2)

Publication Number Publication Date
CN1834994A CN1834994A (en) 2006-09-20
CN100365651C true CN100365651C (en) 2008-01-30

Family

ID=37002726

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB2005101010919A Expired - Fee Related CN100365651C (en) 2005-11-09 2005-11-09 Method of recognizing problem vehicles

Country Status (2)

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CN (1) CN100365651C (en)
WO (1) WO2007053985A1 (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101692314B (en) * 2009-10-15 2012-10-24 康华武 Method for identifying vehicle identity by using vehicle position information and application
CN102054358A (en) * 2009-11-10 2011-05-11 中兴通讯股份有限公司 Control system and method of electronic license plate
CN102890864A (en) * 2011-07-20 2013-01-23 中兴通讯股份有限公司 Method and device for acquiring vehicle data information
CN102890865A (en) * 2012-09-28 2013-01-23 山东大学 Device and method for detecting legality of taxi by integrating video recognition and radio frequency recognition
CN103353943A (en) * 2013-03-26 2013-10-16 支录奎 Handheld checking instrument for electronically identifying vehicle identity information
WO2017197223A1 (en) * 2016-05-13 2017-11-16 3M Innovative Properties Company Counterfeit detection of an optically active article using security elements
CN105809974A (en) * 2016-05-25 2016-07-27 成都联众智科技有限公司 Automatic car information recognition system
WO2019127279A1 (en) * 2017-12-28 2019-07-04 深圳市元征软件开发有限公司 Vehicle detection method, apparatus, device and readable storage medium
CN108921259A (en) * 2018-09-18 2018-11-30 西安艾润物联网技术服务有限责任公司 Parking lot inspection device and system
CN114299725B (en) * 2021-12-31 2023-01-17 高新兴智联科技有限公司 Single-lane vehicle-passing information acquisition system and method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2473695Y (en) * 2001-03-16 2002-01-23 王振宇 Electronic license plate for vehicle
CN2533526Y (en) * 2002-03-13 2003-01-29 刘宝成 Testing controlling apparatus capable of distinguishing vehicle license plate and having automatic pay function for vehicle

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5381155A (en) * 1993-12-08 1995-01-10 Gerber; Eliot S. Vehicle speeding detection and identification
CN1405036A (en) * 2002-10-30 2003-03-26 上海奥达光电子科技有限公司 Method and system of global real-time identifying identity of automobile

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2473695Y (en) * 2001-03-16 2002-01-23 王振宇 Electronic license plate for vehicle
CN2533526Y (en) * 2002-03-13 2003-01-29 刘宝成 Testing controlling apparatus capable of distinguishing vehicle license plate and having automatic pay function for vehicle

Also Published As

Publication number Publication date
WO2007053985A1 (en) 2007-05-18
CN1834994A (en) 2006-09-20

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Address after: 518000, Nanshan District science and technology zone, Shenzhen, Guangdong province 13 Road, 4 Thunis Road

Patentee after: ABACUS INFO (SHENZHEN) Co.,Ltd.

Patentee after: NORTH CHINA ELECTRIC POWER RESEARCH INSTITUTE Co.,Ltd.

Address before: 518048 Futian District, Shenzhen, Xinzhou South Road, Oriental Pearl Tower, science and technology building, building six, building

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Address after: 518000, Guangdong Province, Nanshan District hi tech Zone, North Road, Thunis Road, science and Technology Park, No. 4, layer C401-C405, layer 13

Patentee after: ABACUS INFO (SHENZHEN) Co.,Ltd.

Address before: 518000, Nanshan District science and technology zone, Shenzhen, Guangdong province 13 Road, 4 Thunis Road

Patentee before: ABACUS INFO (SHENZHEN) Co.,Ltd.

Patentee before: NORTH CHINA ELECTRIC POWER RESEARCH INSTITUTE Co.,Ltd.

EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20060920

Assignee: Shenzhen Aibo Communication Co.,Ltd.

Assignor: ABACUS INFO (SHENZHEN) Co.,Ltd.

Contract record no.: X2021980003640

Denomination of invention: A method of identifying problematic vehicles

Granted publication date: 20080130

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Address before: C401-c405, 4th floor, Tsinghua Ziguang science and Technology Park, No.13, Langshan Road, North District, high tech Zone, Nanshan District, Shenzhen, Guangdong 518000

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