CN105488857A - Vehicle fee collection management system - Google Patents
Vehicle fee collection management system Download PDFInfo
- Publication number
- CN105488857A CN105488857A CN201610007287.XA CN201610007287A CN105488857A CN 105488857 A CN105488857 A CN 105488857A CN 201610007287 A CN201610007287 A CN 201610007287A CN 105488857 A CN105488857 A CN 105488857A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- information
- image
- collecting device
- algorithm
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
- G07B15/063—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems using wireless information transmission between the vehicle and a fixed station
Abstract
The invention discloses a vehicle fee collection management system. The system includes an image acquisition device used for acquiring vehicle images of a road section to be tested, an information acquisition device used for acquiring the vehicle information of the road section to be tested, and an image processing device for analyzing the vehicle images acquired by the image acquisition device, realizing vehicle positioning, license plate extraction, license plate recognition and information output, comparing the vehicle information acquired by the information acquisition device with analyzed vehicle image information, performing correction, and submitting corrected vehicle information to a fee collection charge settlement system. The vehicle fee collection management system of the invention has the advantages of high processing speed, high image output frame rate, high vehicle positioning precision, high license plate recognition accuracy and the like. The vehicle fee collection management system can adapt to vehicle speed as high as 180km/h. The vehicle fee collection management system has a bright application prospect in the intelligent traffic no-parking fee collection management field.
Description
Technical field
The present invention relates to computer vision and vehicle electric charge field, particularly relate to a kind of vehicle toll management system.
Background technology
Along with the significantly increase of the big or middle Urban vehicles poputation of China, the radiant type due to city develops the infrastructure and hardware resource imbalance that are, and the traffic congestion and the parking stall that also exacerbate Downtown are nervous.Serious traffic congestion not only reduces civic and occurs efficiency, and exacerbates energy resource consumption and environmental pollution.
Carrying out motor vehicle congestion-pricing system at nucleus is a kind of feasible solution, refer at core space key road segment by erection no-stop charging system, record enters, leaves licence plate, the time point of nucleus vehicle, calculates vehicle in the residence time of core space and collects the traffic congestion expense of certain number.Carry out with this quantity and residence time that reduce engine motor-car enters core space, thus reach the object improving bus trip ratio with economic means, reduce motor vehicle rate, alleviate traffic congestion, alleviate fuel consume and environmental pollution.
Summary of the invention
The object of the present invention is to provide a kind of vehicle congestion based on high-speed image sampling charge implementation method, thus realize that high speed image and RFID information collection, Car license recognition, vehicle location, information of vehicles are synchronous, vehicle comparison, and vehicle capture-data is uploaded to charge settlement system in real time.
For achieving the above object, the invention provides a kind of vehicle toll management system, this system comprises: image collecting device, for gathering the vehicle image in section to be measured; Information collecting device, for gathering the information of vehicles in section to be measured; Image processing apparatus, for analyzing the vehicle image of described image acquisition device, realizing vehicle location, license plate retrieving, Car license recognition and information and exporting; And the information of vehicles gathered by described information collecting device and the vehicle image information after analyzing carry out contrasting and correcting, correct information of vehicles is submitted to charge settlement system.
Preferably, in said system, image processing apparatus comprises: the first functional module, carries out check processing for vehicle image, carries out License Plate, identification to the vehicle target of coarse positioning; Second functional module, for accurately locating vehicle according to License Plate and identification data; 3rd functional module, carries out contrasting and correcting for the information of vehicles that gathered by described information collecting device and vehicle position information, acquisition time, car plate data, correct information of vehicles is submitted to charge settlement system.
Preferably, in said system, the 3rd functional module also for, data that are undesirable or synchronous abnormality are preserved separately and are generated abnormal information alarm logging.
Preferably, in said system, the first functional module is realized by field programmable gate array (Field-ProgrammableGateArray is called for short FPGA) module, the embedded vehicle location algorithm of FPGA module and vehicle detecting algorithm.
Preferably, in said system, the second functional module is realized by digital signal processing (DigitalSignalProcessing is called for short DSP) module, the embedded Recognition Algorithm of License Plate of described DSP module and algorithm of locating license plate of vehicle.
Preferably, in said system, the 3rd functional module is realized by Acorn reduced instruction set machine (AcornRISCMachine is called for short ARM) module, the embedded vehicle synchronous algorithm of described ARM module and vehicle alignment algorithm.
Preferably, in said system, image processing apparatus Built-in number plate filter algorithm, when capturing line ball driving vehicle track simultaneously, only exports one and captures information, prevent from repeating to withhold.
Preferably, in said system, image collecting device adopts complementary metal oxide semiconductor (CMOS) (ComplementaryMetalOxideSemiconductor, be called for short CMOS) video camera, described cmos camera is erected in section to be measured portal frame or T-shaped vertical rod, and each cmos camera shooting area covers 1.5 tracks, and two cmos cameras are set up in two tracks, and form intersection shooting district two track border region, prevent vehicle from leaking and clap.
Preferably, in said system, information collecting device adopts radio-frequency (RF) identification (RadioFrequencyIdentification, be called for short RFID) information collecting device, described RFID information harvester is erected in section to be measured portal frame or T-shaped vertical rod, by its antenna accurate positioned vehicle RFID position and information of vehicles, and be uploaded to described image processing apparatus.
Preferably, in said system, image collecting device and information collecting device are by image processing apparatus described in Ethernet access, and data after process are uploaded charge settlement system by optical fiber by described image processing apparatus.
Processing speed of the present invention is fast, image output frame rate is high, vehicle location precision is accurate, Car license recognition precision is high, adapt to the advantages such as the speed of a motor vehicle fast (can adapt to 180km/h), and future has a good application prospect in intelligent transportation non-stopping toll administration field.
Accompanying drawing explanation
A kind of vehicle toll management system application scene schematic diagram that Fig. 1 provides for the embodiment of the present invention;
A kind of vehicle toll management system structural representation that Fig. 2 provides for the embodiment of the present invention.
Embodiment
After being described in detail embodiments of the present invention by way of example below in conjunction with accompanying drawing, other features of the present invention, feature and advantage will be more obvious.
A kind of vehicle toll management system application scene schematic diagram that Fig. 1 provides for the embodiment of the present invention.As shown in Figure 1, in section to be measured erection portal frame or T-shaped vertical rod, and 1 cover 300FPS high definition cmos camera and RFID information harvester is installed directly over each track respectively.Wherein, cmos camera shooting area covers 1.5 tracks, and two cmos cameras are set up in two tracks, and forms intersection shooting district two track border region, prevents vehicle from leaking and claps; RFID information harvester coverage overlaps with cmos camera coverage, and its frequency of operation and video analysis frequency are consistent, so that vehicle data afterwards synchronously calculates.
A kind of vehicle toll management system structural representation that Fig. 2 provides for the embodiment of the present invention.As shown in Figure 2, this system comprises: cmos camera 11, RFID information harvester 12, image processing apparatus 20 and charge settlement system 30, wherein image processing apparatus 20 comprises: FPGA module 21, DSP module 22 and ARM module 23.Wherein, cmos camera 11 and RFID information harvester 12 are by Ethernet access image processing apparatus 20, image processing apparatus 20 adopts the synchronous and information of vehicle alignment algorithm to input of embedded Video Detection Algorithm, vehicle identification algorithm, vehicle location algorithm, information of vehicles to process, and data after process are uploaded by optical fiber settlement system 30 of charging.
Particularly, image collecting device adopts cmos camera 11 to carry out high-speed image sampling, and its image acquisition per second and output frame rate are up to 300FPS.Cmos camera 11 can be erected in section to be measured portal frame or T-shaped vertical rod, each cmos camera 11 shooting area covers 1.5 tracks, article two, two cmos cameras are set up in track, and form intersection shooting district two track border region, prevent vehicle from leaking and clap.The vehicle image that cmos camera 11 gathers sends to image processing apparatus 20 by Ethernet.
When adopting traditional ccd video camera to carry out image acquisition, its highest frame per second is currently only 30FPS, and the vehicle location output frame rate do not reached far away required by congestion-pricing system is no less than the requirement of 100FPS.
Information collecting device adopts RFID information harvester 12, RFID information harvester 12 is erected in section to be measured portal frame or T-shaped vertical rod equally, by its antenna accurate positioned vehicle RFID position and information of vehicles, and be uploaded to image processing apparatus 20 by Ethernet.
RFID technique has been widely used in the field such as expressway tol lcollection, parking fee collective system at present, but, in above-mentioned zone, all by laying the mode such as deceleration strip, installation automatic railing, vehicle average velocity is reduced to the correct Information Monitoring of 20KM-40KM/H ability; And in order to not affect normal traffic order in urban congestion charge field, require under vehicle normal pass environment (40KM-80KM/H), carry out information of vehicles collection and identification, adopt separately RFID accuracy of detection to be difficult to ensure; Therefore, we add image collecting device as supplementary means, and the information of vehicles that both are collected carry out synchronization check the most at last accurate information as the important evidence of congestion-pricing.
Image processing apparatus 20 comprises: FPGA module 21, DSP module 22 and ARM module 23.Wherein, the embedded vehicle location algorithm of FPGA module 21 and vehicle detecting algorithm, vehicle image for gathering cmos camera 11 carries out check processing, carries out License Plate, identification to the vehicle target of coarse positioning, and gets rid of the factors such as non-vehicle target, environmental interference and make system have more universality.
The framework that current graphical analysis is commonly used is the DSP embedded scheme based on DM8127, and its core frequency is 750Mhz, although can realize 8 grades of flowing water, the processing requirements for the 100FPS of current 2,000,000 pixels also can not meet at all.Therefore, we add FPGA module in image processing apparatus, it has inborn concurrent operation advantage, therefore, we reach the arithmetic capability of 60FPS/ second in test, then we do accurately location and identifying by DSP module after carrying out vehicle coarse positioning by FPGA module again, thus DSP output efficiency is increased to 50FPS, and we carry out image interleave according to Vehicular linear, the principle of at the uniform velocity going together thus system output frame rate can be reached 100FPS simultaneously.
The embedded Recognition Algorithm of License Plate of DSP module 22 and algorithm of locating license plate of vehicle, for accurately locating vehicle according to License Plate and identification data.This process of vehicle coarse positioning is not had in traditional scheme, DSP module needs the region to a monoblock delimited to carry out Plate searching on a large scale, its resource consumption is high, discrimination is low, meanwhile, due to the interference not having coarse positioning and filtering system to be easily subject to the motor vehicles lack of standardization such as special-shaped car, motorcycle.
The embedded vehicle synchronous algorithm of ARM module 23 and vehicle alignment algorithm, for information of vehicles that RFID information harvester 12 is gathered with analyze after vehicle image information, the information such as such as vehicle position information, acquisition time, car plate data carry out contrasting and correcting, and are submitted to by correct information of vehicles charge settlement system as the evidence of expenses of taxation toll collection; And data that are undesirable or synchronous abnormality are preserved separately and generated abnormal information alarm logging, by manually intervening result in time, avoid causing charge ambiguity.
Preferentially, the image processing apparatus 20 Built-in number plate filter algorithm that the embodiment of the present invention provides, when capturing line ball driving vehicle track simultaneously, only exports one and captures information, prevent from repeating to withhold.
In embodiments of the present invention, first use 300FPS high speed COMS video camera and RFID information harvester to gather same track, same vehicle simultaneously; Then by image processing apparatus, intellectual analysis is carried out to vehicle image, mainly realize vehicle location, license plate retrieving, Car license recognition and information and export; The vehicle data that identified by RFID information harvester again of system and image recognition data carry out contrasting, correcting afterwards, submit correct vehicle capturing information to congestion-pricing settlement system, and the correct evidence such as vehicle snapshot recorded information, vehicle pictures is preserved in charge settlement system, effectively can prevent the generation of charge ambiguity.And the vehicle that inconsistent, disbursement and sattlement is abnormal is identified for Car license recognition and RFID, system can produce warning message in time, reminds charge settlement system supvr to carry out manual intervention in time, guarantees the correct, timely and effective of disbursement and sattlement.
The embodiment of the present invention is compared with industrial computer or CCD all-in-one with traditional ccd video camera, have the advantages such as processing speed is fast, image output frame rate is high, vehicle location precision is accurate, Car license recognition precision is high, the adaptation speed of a motor vehicle fast (can adapt to 180km/h), future has a good application prospect in intelligent transportation non-stopping toll administration field.
Obviously, under the prerequisite not departing from true spirit of the present invention and scope, the present invention described here can have many changes.Therefore, all changes that it will be apparent to those skilled in the art that, all should be included within scope that these claims contain.The present invention's scope required for protection is only limited by described claims.
Claims (10)
1. a vehicle toll management system, is characterized in that, comprising:
Image collecting device, for gathering the vehicle image in section to be measured;
Information collecting device, for gathering the information of vehicles in section to be measured;
Image processing apparatus, for analyzing the vehicle image of described image acquisition device, realizing vehicle location, license plate retrieving, Car license recognition and information and exporting; And the information of vehicles gathered by described information collecting device and the vehicle image information after analyzing carry out contrasting and correcting, correct information of vehicles is submitted to charge settlement system.
2. system according to claim 1, is characterized in that, described image processing apparatus comprises:
First functional module, carries out check processing for vehicle image, carries out License Plate, identification to the vehicle target of coarse positioning;
Second functional module, for accurately locating vehicle according to License Plate and identification data;
3rd functional module, carries out contrasting and correcting for the information of vehicles that gathered by described information collecting device and vehicle position information, acquisition time, car plate data, correct information of vehicles is submitted to charge settlement system.
3. system according to claim 2, is characterized in that, described 3rd functional module also for, data that are undesirable or synchronous abnormality are preserved separately and are generated abnormal information alarm logging.
4. the system according to Claims 2 or 3, is characterized in that, described first functional module is realized by on-site programmable gate array FPGA module, the embedded vehicle location algorithm of described FPGA module and vehicle detecting algorithm.
5. the system according to Claims 2 or 3, is characterized in that, described second functional module is realized by digital signal processing DSP module, the embedded Recognition Algorithm of License Plate of described DSP module and algorithm of locating license plate of vehicle.
6. the system according to Claims 2 or 3, is characterized in that, described 3rd functional module is realized by ARM module, the embedded vehicle synchronous algorithm of described ARM module and vehicle alignment algorithm.
7. the system according to Claims 2 or 3, is characterized in that, described image processing apparatus Built-in number plate filter algorithm, when capturing line ball driving vehicle track simultaneously, only exports one and captures information, prevent from repeating to withhold.
8. system according to claim 1, it is characterized in that, described image collecting device adopts complementary metal oxide semiconductor (CMOS) cmos camera, described cmos camera is erected in section to be measured portal frame or T-shaped vertical rod, each cmos camera shooting area covers 1.5 tracks, article two, two cmos cameras are set up in track, and form intersection shooting district two track border region, prevent vehicle from leaking and clap.
9. system according to claim 1, it is characterized in that, described information collecting device adopts radio frequency discrimination RFID information collecting device, described RFID information harvester is erected in section to be measured portal frame or T-shaped vertical rod, by its antenna accurate positioned vehicle RFID position and information of vehicles, and be uploaded to described image processing apparatus.
10. system according to claim 1, is characterized in that, described image collecting device and information collecting device are by image processing apparatus described in Ethernet access, and data after process are uploaded charge settlement system by optical fiber by described image processing apparatus.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610007287.XA CN105488857A (en) | 2016-01-06 | 2016-01-06 | Vehicle fee collection management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610007287.XA CN105488857A (en) | 2016-01-06 | 2016-01-06 | Vehicle fee collection management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105488857A true CN105488857A (en) | 2016-04-13 |
Family
ID=55675821
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610007287.XA Pending CN105488857A (en) | 2016-01-06 | 2016-01-06 | Vehicle fee collection management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105488857A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106652449A (en) * | 2016-12-13 | 2017-05-10 | 冯仁 | Intelligent transportation system |
| CN106960575A (en) * | 2017-04-05 | 2017-07-18 | 北京易华录信息技术股份有限公司 | Vehicle line ball traveling accurate recognition system and method based on vehicle electron identifying |
| CN107045789A (en) * | 2017-04-05 | 2017-08-15 | 北京易华录信息技术股份有限公司 | A kind of vehicle line ball traveling prompt system and method based on vehicle electron identifying |
| CN107067733A (en) * | 2017-04-05 | 2017-08-18 | 北京易华录信息技术股份有限公司 | A kind of vehicle line ball traveling identifying system and method based on vehicle electron identifying |
| CN107730620A (en) * | 2017-02-13 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Parking lot charging abnormality eliminating method and device |
| CN107767474A (en) * | 2016-08-16 | 2018-03-06 | 武汉万集信息技术有限公司 | A kind of congestion in road charging method and device based on car-mounted terminal |
| CN109697602A (en) * | 2018-12-26 | 2019-04-30 | 交通运输部水运科学研究所 | A kind of data processing system for set-fee toll collection |
| CN110009756A (en) * | 2019-04-11 | 2019-07-12 | 四川微迪智控科技有限公司 | A kind of tollbooth charging control system |
| WO2020096460A1 (en) | 2018-11-07 | 2020-05-14 | Apace Resources As | Charging system |
| CN112002027A (en) * | 2020-09-04 | 2020-11-27 | 侯晓峰 | Highway charging method, device, terminal and storage medium |
| CN112419566A (en) * | 2021-01-25 | 2021-02-26 | 成都智元汇信息技术股份有限公司 | Subway brake ticket checking method |
| CN113077018A (en) * | 2021-06-07 | 2021-07-06 | 浙江大华技术股份有限公司 | Target object identification method and device, storage medium and electronic device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0883366A (en) * | 1994-09-09 | 1996-03-26 | Nippon Signal Co Ltd:The | Automatic ticket examination machine |
| CN102542618A (en) * | 2010-12-31 | 2012-07-04 | 熊锐 | Remote intelligent management system for vehicles |
| CN103177569A (en) * | 2011-12-20 | 2013-06-26 | 西安众智惠泽光电科技有限公司 | RFID (radiofrequency identification) and license number identification technology based hit-and-run vehicle preventing system |
| CN103870803A (en) * | 2013-10-21 | 2014-06-18 | 北京邮电大学 | Vehicle license plate recognition method and system based on coarse positioning and fine positioning fusion |
| CN104134239A (en) * | 2014-07-28 | 2014-11-05 | 中国科学院自动化研究所 | System and method for improving electronic charging reliability in city intelligent transportation system |
| CN205354128U (en) * | 2016-01-06 | 2016-06-29 | 北京卓视智通科技有限责任公司 | Vehicle charge management system |
-
2016
- 2016-01-06 CN CN201610007287.XA patent/CN105488857A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0883366A (en) * | 1994-09-09 | 1996-03-26 | Nippon Signal Co Ltd:The | Automatic ticket examination machine |
| CN102542618A (en) * | 2010-12-31 | 2012-07-04 | 熊锐 | Remote intelligent management system for vehicles |
| CN103177569A (en) * | 2011-12-20 | 2013-06-26 | 西安众智惠泽光电科技有限公司 | RFID (radiofrequency identification) and license number identification technology based hit-and-run vehicle preventing system |
| CN103870803A (en) * | 2013-10-21 | 2014-06-18 | 北京邮电大学 | Vehicle license plate recognition method and system based on coarse positioning and fine positioning fusion |
| CN104134239A (en) * | 2014-07-28 | 2014-11-05 | 中国科学院自动化研究所 | System and method for improving electronic charging reliability in city intelligent transportation system |
| CN205354128U (en) * | 2016-01-06 | 2016-06-29 | 北京卓视智通科技有限责任公司 | Vehicle charge management system |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107767474A (en) * | 2016-08-16 | 2018-03-06 | 武汉万集信息技术有限公司 | A kind of congestion in road charging method and device based on car-mounted terminal |
| CN106652449A (en) * | 2016-12-13 | 2017-05-10 | 冯仁 | Intelligent transportation system |
| CN107730620A (en) * | 2017-02-13 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Parking lot charging abnormality eliminating method and device |
| CN106960575A (en) * | 2017-04-05 | 2017-07-18 | 北京易华录信息技术股份有限公司 | Vehicle line ball traveling accurate recognition system and method based on vehicle electron identifying |
| CN107045789A (en) * | 2017-04-05 | 2017-08-15 | 北京易华录信息技术股份有限公司 | A kind of vehicle line ball traveling prompt system and method based on vehicle electron identifying |
| CN107067733A (en) * | 2017-04-05 | 2017-08-18 | 北京易华录信息技术股份有限公司 | A kind of vehicle line ball traveling identifying system and method based on vehicle electron identifying |
| WO2020096460A1 (en) | 2018-11-07 | 2020-05-14 | Apace Resources As | Charging system |
| US11915526B2 (en) | 2018-11-07 | 2024-02-27 | Affin As | Charging system |
| CN109697602A (en) * | 2018-12-26 | 2019-04-30 | 交通运输部水运科学研究所 | A kind of data processing system for set-fee toll collection |
| CN109697602B (en) * | 2018-12-26 | 2021-05-11 | 交通运输部水运科学研究所 | Data processing system for checking fees |
| CN110009756A (en) * | 2019-04-11 | 2019-07-12 | 四川微迪智控科技有限公司 | A kind of tollbooth charging control system |
| CN112002027A (en) * | 2020-09-04 | 2020-11-27 | 侯晓峰 | Highway charging method, device, terminal and storage medium |
| CN112419566A (en) * | 2021-01-25 | 2021-02-26 | 成都智元汇信息技术股份有限公司 | Subway brake ticket checking method |
| CN113077018A (en) * | 2021-06-07 | 2021-07-06 | 浙江大华技术股份有限公司 | Target object identification method and device, storage medium and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105488857A (en) | Vehicle fee collection management system | |
| CN110532896B (en) | Road vehicle detection method based on fusion of road side millimeter wave radar and machine vision | |
| CN100578562C (en) | Method for monitoring vehicle offences by video | |
| CN201655024U (en) | Junction traffic information comprehensive measurement alarm system | |
| CN101510356B (en) | Video detection system and data processing device thereof, video detection method | |
| CN101593422B (en) | Traffic violation detection method based on video tracking and pattern recognition | |
| CN104732205B (en) | A kind of system of highway fee evasion inspection | |
| CN102254429B (en) | Video identification-based detection method of detection device of violation vehicles | |
| CN202443514U (en) | Multilane free movement electronic road toll collection system | |
| CN102129775A (en) | Method and system for obtaining evidence by capturing vehicles at traffic crossing under panoramic video detection | |
| CN102759347B (en) | Online in-process quality control device and method for high-speed rail contact networks and composed high-speed rail contact network detection system thereof | |
| CN105702048A (en) | Automobile-data-recorder-based illegal lane occupation identification system and method for automobile on highway | |
| CN105046960A (en) | Method and apparatus for analyzing road congestion state and detecting illegal parking | |
| CN102332209A (en) | Automobile violation video monitoring method | |
| CN104766479A (en) | Automobile identity recognition method and device based on ultrahigh frequency radio frequency and video image dual-recognition matching | |
| CN101587646A (en) | Method and system of traffic flow detection based on video identification technology | |
| CN1731466A (en) | A system for monitoring overspeed behavior of vehicle and operating method thereof | |
| CN202422425U (en) | Video-detection-based intelligent signal control system for crossing | |
| CN104794906A (en) | Vehicle management platform of outdoor parking lot exit | |
| CN105303826A (en) | Violating side parking evidence obtaining device and method | |
| CN112712697A (en) | Lane-level traffic state discrimination method and system oriented to vehicle-road cooperative application | |
| CN106683400A (en) | Method and a system for obtaining evidence by capturing vehicles at traffic crossing under panoramic video detection | |
| CN204825605U (en) | Discernment of road environment and detection device based on image | |
| CN103422417A (en) | Dynamic identification system and method for detecting road surface damages | |
| CN205354128U (en) | Vehicle charge management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160413 |
|
| WD01 | Invention patent application deemed withdrawn after publication |