Nothing Special   »   [go: up one dir, main page]

CN107331158A - A kind of on-site identification disturbs residents the method for vehicle - Google Patents

A kind of on-site identification disturbs residents the method for vehicle Download PDF

Info

Publication number
CN107331158A
CN107331158A CN201710751814.2A CN201710751814A CN107331158A CN 107331158 A CN107331158 A CN 107331158A CN 201710751814 A CN201710751814 A CN 201710751814A CN 107331158 A CN107331158 A CN 107331158A
Authority
CN
China
Prior art keywords
amplitude
variation
pixel
image
value
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
Application number
CN201710751814.2A
Other languages
Chinese (zh)
Inventor
不公告发明人
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.)
Wuxi Beidou Xingtong Information Technology Co Ltd
Original Assignee
Wuxi Beidou Xingtong Information 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 Wuxi Beidou Xingtong Information Technology Co Ltd filed Critical Wuxi Beidou Xingtong Information Technology Co Ltd
Priority to CN201710751814.2A priority Critical patent/CN107331158A/en
Publication of CN107331158A publication Critical patent/CN107331158A/en
Pending legal-status Critical Current

Links

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
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • 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
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08Detecting or categorising vehicles

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

Disturb residents the method for vehicle the present invention relates to a kind of on-site identification, and this method includes:There is provided and using the vehicle on-site identification system that disturbs residents, identifying system includes:Big decibel detector, it is arranged in residence area, for detecting surrounding noise situation in real time, and when the noise amplitude detected is more than or equal to default decibel value, noise interferences are sent, otherwise, noise normal signal are sent, wherein, the default decibel value is a variable changed based on current time;Scene capture equipment, is arranged in residence area, vicinity of big decibel detector, is connected with the big decibel detector, in power down mode under default conditions, when receiving the noise interferences, enters working condition from power down mode;Wherein, the scene capture equipment carries out real-time scene data acquisition to obtain and export real-time scene image when entering working condition to the major trunk roads in residence area.

Description

A kind of on-site identification disturbs residents the method for vehicle
Technical field
The present invention relates to field of traffic control, more particularly to a kind of on-site identification disturbs residents the method for vehicle.
Background technology
Although the species of vehicle is more, construct similar.This is the contribution of standardization, is also large-scale production stream The need for waterline.With the developing of society, the progress of science and technology and the change of demand, the profile of rolling stock begun with change, Especially passenger car is no longer whole-colored familiar faces.But their essential structure does not have great change, simply has The parts of body have more scientific advanced structure design.
More and more live and works also given people of vehicle bring inconvenience, for example, in the presence of some nights motorcycle racing clan, Period in late into the night road near residential building is liked to carry out joyride, the very big noise that joyride is brought has a strong impact on the sleep of resident, especially It is for some neurasthenic crowds, and in the prior art and in the absence of tracking, identification and alarm scheme to joyride vehicle.
The content of the invention
In order to solve the above problems, a kind of method for the vehicle that disturbed residents the invention provides on-site identification introduces big decibel Detector, as starting the triggering equipment of vehicle detection of disturbing residents, introducing include scene capture equipment, depth detection process equipment, First amplitude of variation detection device, the second amplitude of variation detection device, scene capture unit, status control unit, signal output The image processing equipment of the customization of unit accurately detects the vehicle that disturbs residents, and takes positive alarm strategy, so as to frighten resident The vehicle that disturbs residents of road near area.
Disturb residents the method for vehicle there is provided a kind of on-site identification according to an aspect of the present invention, and this method includes:
1) one kind is provided to disturb residents vehicle on-site identification system, including:
Big decibel detector, is arranged in residence area, for detecting surrounding noise situation in real time, and in making an uproar for detecting When acoustic amplitude is more than or equal to default decibel value, noise interferences are sent, otherwise, noise normal signal are sent, wherein, it is described pre- If decibel value is a variable changed based on current time;And
2) system is run.
More specifically, in the vehicle on-site identification system that disturbs residents, in addition to:Scene capture equipment, is arranged on house In region, the vicinity of big decibel detector, be connected with the big decibel detector, under default conditions be in power down mode, connecing When receiving the noise interferences, enter working condition from power down mode;Wherein, the scene capture equipment is entering work During state, the major trunk roads in residence area are carried out real-time scene data acquisition to obtain and export real-time scene image.
More specifically, in the vehicle on-site identification system that disturbs residents, in addition to:Depth detection process equipment, with scene Capture device is connected, and for receiving real-time scene image, the corresponding depth image of the real-time scene image is determined, based on described Depth image determines the depth information of the real-time scene image, and the depth information based on the real-time scene image determines described Object edge in real-time scene image;Wherein, the depth detection process equipment is also based in the real-time scene image Object edge carries out corresponding edge enhancing processing to the real-time scene image to export corresponding advanced treating image.
More specifically, in the vehicle on-site identification system that disturbs residents, in addition to:First amplitude of variation detection device, with Depth detection process equipment is connected, for receiving advanced treating image, for the picture of each pixel in advanced treating image Element value, its pixel value is subtracted the difference obtained after the pixel value of the descending pixel of its same column and done square to obtain the first square value, Its pixel value is subtracted to the difference obtained after the pixel value of its following pixel of going together to do square to obtain the second square value, by first It is that square value is obtained after being added with the second square value and carry out evolution to obtain the first amplitude of variation.
More specifically, in the vehicle on-site identification system that disturbs residents:It is deep in the first amplitude of variation detection device First amplitude of variation of each pixel of last column of degree processing image directly takes the first of the same column pixel of lastrow Amplitude of variation, the first amplitude of variation of each pixel of last row of advanced treating image directly takes the colleague of previous column First amplitude of variation of pixel.
More specifically, in the vehicle on-site identification system that disturbs residents, in addition to:
Second amplitude of variation detection device, is connected with depth detection process equipment, for receiving advanced treating image, for The pixel value of each pixel in advanced treating image, its pixel value is subtracted and taken after the pixel value of the descending pixel of its same column absolutely To being worth to obtain the first absolute value, taken absolute value after its pixel value is subtracted into the pixel value of its following pixel of going together to obtain second Absolute value, it is being obtained after the first absolute value is added with the second absolute value and as the second amplitude of variation, wherein, advanced treating figure Second amplitude of variation of each pixel of last column of picture directly takes the second amplitude of variation of the same column pixel of lastrow, Second amplitude of variation of each pixel of last row of advanced treating image directly takes the of colleague's pixel of previous column Two amplitudes of variation;Amplitude of variation selects equipment, respectively with the first amplitude of variation detection device and second amplitude of variation Detection device is connected, for the pixel value for each pixel in advanced treating image, by its first amplitude of variation and its Second amplitude of variation compares, and takes the maximum between its first amplitude of variation and its second amplitude of variation the most finally to change width Degree;
Amplitude of variation processing equipment, is connected with amplitude of variation selection equipment, for in advanced treating image The pixel value of each pixel, its final amplitude of variation is compared with default amplitude of variation threshold value, for final change width Degree is more than or equal to each pixel of default amplitude of variation threshold value, and processing is sharpened to its pixel value with the pixel after being handled Value, each pixel of default amplitude of variation threshold value is less than to final amplitude of variation, directly its pixel value is regard as the picture after processing At the corresponding amplitude of variation of pixel value formation advanced treating image after the processing of all pixels in element value, advanced treating image Manage image;Wherein, default amplitude of variation threshold value is determined according to sharpening level, sharpening level is higher, default amplitude of variation threshold value is got over It is small;Information of vehicles identification equipment, is connected with amplitude of variation processing equipment, for receiving the amplitude of variation processing image, to institute State amplitude of variation processing image and carry out motion target tracking to obtain current kinetic target subgraph, to current kinetic target subgraph As carrying out type identification to obtain the corresponding type of vehicle of current kinetic target subgraph, current kinetic target subgraph is carried out Car license recognition is to obtain the corresponding vehicle license plate number of current kinetic target subgraph;Field data sends equipment, with the vehicle Information identification equipment is connected, for by the corresponding type of vehicle of current kinetic target subgraph and current kinetic target subgraph Corresponding vehicle license plate number is transmitted at the server to neighbouring traffic control center.
More specifically, in the vehicle on-site identification system that disturbs residents, in addition to:Buzzer, be arranged in residence area, The vicinity of big decibel detector, is connected with the information of vehicles identification equipment, for receiving current kinetic target subgraph During corresponding type of vehicle, buzzing is sent with the corresponding broadcasting frequency of type of vehicle corresponding with current kinetic target subgraph Sound.
More specifically, in the vehicle on-site identification system that disturbs residents:The depth detection process equipment, described first become Change amplitude detection equipment, the second amplitude of variation detection device, amplitude of variation selection equipment, amplitude of variation processing Equipment, the information of vehicles identification equipment and the field data send equipment and are integrated in same SOC.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein:
Fig. 1 is the block diagram of the vehicle on-site identification system that disturbs residents according to embodiment of the present invention.
Fig. 2 is the structure of the scene capture unit of the vehicle on-site identification system that disturbs residents according to embodiment of the present invention Block diagram.
Reference:1 big decibel of detector;2 scene capture equipment;3 depth detection process equipment;4 first amplitudes of variation Detection device;5 second amplitude of variation detection devices;21 scene capture units;22 status control units;23 signal output units
Embodiment
The embodiment to the vehicle on-site identification system that disturbs residents of the present invention is described in detail below with reference to accompanying drawings.
Vehicle is " car " and the general name of the unit " " of car.So-called car, refers to the vehicles that land is rotated with wheel; So-called, from metering method of the ancient times to car.Car at that time is usually two wheels, therefore Che Yicheng is title one or two, later Just writing.As can be seen here, the literal sense of vehicle refers to do not have dynamic car in itself, and carriage is with Malaysia traction, employment drawing or Push away and be rickshaw.With the development of science and technology, automobile for having with steam engine to draw again etc..At this moment the concept of vehicle has been Through having played change silently, the general designation as all cars.Such as, reported on the city vehicle number of vehicle supervision department's statistics, newpapers and periodicals Generation how many vehicle traffic accident etc..Here vehicle refers to all cars.
The trip that the development of vehicle gives people brings great convenience, but there is also dual character, for example noise pollution and Tail gas pollution, on daytime, the noise that vehicle is brought often is submerged in city noise, but at night, especially in morning, vehicle Noise can result in serious sound pollution to the resident of residential quarter, and the normal rest of resident is disturbed to a certain extent, and Lack corresponding detection alarm mechanism in the prior art.In order to overcome above-mentioned deficiency, the present invention has built a kind of on-site identification and disturbed The method of people's vehicle, this method includes:1) one kind is provided to disturb residents vehicle on-site identification system;And 2) system is run.
Fig. 1 is the block diagram of the vehicle on-site identification system that disturbs residents according to embodiment of the present invention, the system System includes:
Big decibel detector, is arranged in residence area, for detecting surrounding noise situation in real time, and in making an uproar for detecting When acoustic amplitude is more than or equal to default decibel value, noise interferences are sent, otherwise, noise normal signal are sent;
Wherein, the default decibel value is a variable changed based on current time.
Then, continue that the concrete structure of the vehicle on-site identification system that disturbs residents of the present invention is further detailed.
The system also includes:
Scene capture equipment, is arranged in residence area, vicinity of big decibel detector, with the big decibel detector company Connect, power down mode is under default conditions, when receiving the noise interferences, enters working condition from power down mode;
Wherein, as shown in Fig. 2 the scene capture equipment is defeated including scene capture unit, status control unit and signal Go out unit.
Wherein, the scene capture equipment carries out real-time field when entering working condition to the major trunk roads in residence area Scape data acquisition is to obtain and export real-time scene image.
The system also includes:
Depth detection process equipment, is connected with scene capture equipment, for receiving real-time scene image, determines described real-time The corresponding depth image of scene image, the depth information of the real-time scene image is determined based on the depth image, based on institute The depth information for stating real-time scene image determines object edge in the real-time scene image;
Wherein, the depth detection process equipment also based on the object edge in the real-time scene image to it is described in real time Scene image carries out corresponding edge enhancing processing to export corresponding advanced treating image.
The system also includes:
First amplitude of variation detection device, is connected with depth detection process equipment, for receiving advanced treating image, for The pixel value of each pixel in advanced treating image, its pixel value is subtracted and obtained after the pixel value of the descending pixel of its same column Difference do square to obtain the first square value, its pixel value is subtracted to the difference obtained after the pixel value of its following pixel of going together Do square to obtain the second square value, it is being obtained after the first square value is added with the second square value and carry out evolution to obtain the One amplitude of variation.
In the system:
In the first amplitude of variation detection device, the first of each pixel of last column of advanced treating image Amplitude of variation directly takes the first amplitude of variation of the same column pixel of lastrow, last row of advanced treating image each First amplitude of variation of pixel directly takes the first amplitude of variation of colleague's pixel of previous column.
The system also includes:
Second amplitude of variation detection device, is connected with depth detection process equipment, for receiving advanced treating image, for The pixel value of each pixel in advanced treating image, its pixel value is subtracted and taken after the pixel value of the descending pixel of its same column absolutely To being worth to obtain the first absolute value, taken absolute value after its pixel value is subtracted into the pixel value of its following pixel of going together to obtain second Absolute value, it is being obtained after the first absolute value is added with the second absolute value and as the second amplitude of variation, wherein, advanced treating figure Second amplitude of variation of each pixel of last column of picture directly takes the second amplitude of variation of the same column pixel of lastrow, Second amplitude of variation of each pixel of last row of advanced treating image directly takes the of colleague's pixel of previous column Two amplitudes of variation;
Amplitude of variation selects equipment, is detected respectively with the first amplitude of variation detection device and second amplitude of variation Equipment is connected, for the pixel value for each pixel in advanced treating image, by its first amplitude of variation and its second Amplitude of variation compares, and takes the maximum amplitude of variation the most final between its first amplitude of variation and its second amplitude of variation;
Amplitude of variation processing equipment, is connected with amplitude of variation selection equipment, for in advanced treating image The pixel value of each pixel, its final amplitude of variation is compared with default amplitude of variation threshold value, for final change width Degree is more than or equal to each pixel of default amplitude of variation threshold value, and processing is sharpened to its pixel value with the pixel after being handled Value, each pixel of default amplitude of variation threshold value is less than to final amplitude of variation, directly its pixel value is regard as the picture after processing At the corresponding amplitude of variation of pixel value formation advanced treating image after the processing of all pixels in element value, advanced treating image Manage image;
Wherein, default amplitude of variation threshold value is determined according to sharpening level, sharpening level is higher, default amplitude of variation threshold value is got over It is small;
Information of vehicles identification equipment, is connected with amplitude of variation processing equipment, for receiving the amplitude of variation processing image, Motion target tracking is carried out to obtain current kinetic target subgraph to amplitude of variation processing image, to current kinetic target Subgraph carries out type identification to obtain the corresponding type of vehicle of current kinetic target subgraph, to current kinetic target subgraph Car license recognition is carried out to obtain the corresponding vehicle license plate number of current kinetic target subgraph;
Field data sends equipment, is connected with the information of vehicles identification equipment, for by current kinetic target subgraph The corresponding vehicle license plate number of corresponding type of vehicle and current kinetic target subgraph is transmitted to neighbouring traffic administration At the server at center.
The system also includes:
Buzzer, is arranged in residence area, vicinity of big decibel detector, with information of vehicles identification equipment company Connect, for when receiving the corresponding type of vehicle of current kinetic target subgraph, with corresponding with current kinetic target subgraph The corresponding broadcasting frequency of type of vehicle beep.
And in the system:
The depth detection process equipment, the first amplitude of variation detection device, second amplitude of variation detection are set Standby, described amplitude of variation selection equipment, the amplitude of variation processing equipment, the information of vehicles identification equipment and the live number It is integrated according to equipment is sent in same SOC.
In addition, SoC definition is varied, due to its rich connotation, have a wide range of application, it is difficult to provide accurate definition.One As in fact, SoC is referred to as system level chip, also there is title on-chip system, it is intended that he is a product, the collection for application-specific target that to be one have Into circuit, wherein comprising holonomic system and having the full content of embedded software.He is a kind of technology again simultaneously, to realize from true Determine systemic-function to start, divided to software/hardware, and the whole process of complete design.Said from narrow sense angle, he is information system core The integrated chip of the heart, is that system core part is integrated on one chip;Said from broadest scope, SoC is a microminiature system System, if central processing unit is brain, then SoC is exactly to include the system of brain, heart, eyes and hand.It is academic both at home and abroad SoC is defined as microprocessor, Analog IP core, digital IP kernel and memory being integrated on one chip by boundary's typically tendency, he Typically customization, or towards the standardized product of special-purpose.
SOC is usually contained:1st, Logic Core include CPU, clock circuit, timer, interrupt control unit, serial-parallel interface, its Its ancillary equipment, I/O ports and for adhesive logic between various IP kernels etc.;2nd, memory core includes various volatile, non- The memories such as volatile and Cache;3rd, simulation core includes simulation electricity used in ADC, DAC, PLL and some high speed circuits Road.
Using the vehicle on-site identification system that disturbs residents of the present invention, it is difficult to Site Detection for the vehicle that disturbs residents in the prior art Technical problem, by carrying out motion target tracking to image to obtain current kinetic target subgraph, to current kinetic target Image carries out type identification to obtain the corresponding type of vehicle of current kinetic target subgraph, and current kinetic target subgraph is entered Row Car license recognition is corresponding by current kinetic target subgraph to obtain the corresponding vehicle license plate number of current kinetic target subgraph Type of vehicle and the corresponding vehicle license plate number of current kinetic target subgraph are transmitted to neighbouring traffic control center At server, so as to complete the detection to the vehicle that disturbs residents and alarm.
Although it is understood that the present invention is disclosed as above with preferred embodiment, but above-described embodiment and being not used to Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible variations and modification are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection It is interior.

Claims (8)

  1. A kind of method of vehicle 1. on-site identification disturbs residents, this method includes:
    1) one kind is provided to disturb residents vehicle on-site identification system, including:
    Big decibel detector, is arranged in residence area, for detecting surrounding noise situation in real time, and in the noise width detected When value is more than or equal to default decibel value, noise interferences are sent, otherwise, noise normal signal are sent, wherein, described default point Shellfish value is a variable changed based on current time;And
    2) system is run.
  2. 2. the method as described in claim 1, it is characterised in that the system also includes:
    Scene capture equipment, is arranged in residence area, the vicinity of big decibel detector, is connected with the big decibel detector, Power down mode is under default conditions, when receiving the noise interferences, enters working condition from power down mode;
    Wherein, the scene capture equipment carries out real-time scene number when entering working condition to the major trunk roads in residence area According to collection to obtain and export real-time scene image.
  3. 3. method as claimed in claim 2, it is characterised in that the system also includes:
    Depth detection process equipment, is connected with scene capture equipment, for receiving real-time scene image, determines the real-time scene The corresponding depth image of image, the depth information of the real-time scene image is determined based on the depth image, based on the reality When scene image depth information determine object edge in the real-time scene image;
    Wherein, the depth detection process equipment also based on the object edge in the real-time scene image to the real-time scene Image carries out corresponding edge enhancing processing to export corresponding advanced treating image.
  4. 4. method as claimed in claim 3, it is characterised in that the system also includes:
    First amplitude of variation detection device, is connected with depth detection process equipment, for receiving advanced treating image, for depth The pixel value of each pixel in image is handled, its pixel value is subtracted to the difference obtained after the pixel value of the descending pixel of its same column Value is done square to obtain the first square value, and its pixel value is subtracted to the difference obtained after the pixel value of its following pixel of going together and does flat Side is to obtain the second square value, and obtained after the first square value is added with the second square value and progress evolution is to obtain the first change Change amplitude.
  5. 5. method as claimed in claim 4, it is characterised in that:
    In the first amplitude of variation detection device, the first change of each pixel of last column of advanced treating image Amplitude directly takes the first amplitude of variation of the same column pixel of lastrow, each pixel of last row of advanced treating image The first amplitude of variation directly take previous column colleague's pixel the first amplitude of variation.
  6. 6. method as claimed in claim 5, it is characterised in that the system also includes:
    Second amplitude of variation detection device, is connected with depth detection process equipment, for receiving advanced treating image, for depth The pixel value of each pixel in image is handled, is taken absolute value after its pixel value is subtracted into the pixel value of the descending pixel of its same column To obtain the first absolute value, its pixel value is subtracted taken absolute value after the pixel value of its following pixel of going together it is absolute to obtain second Value, it is being obtained after the first absolute value is added with the second absolute value and as the second amplitude of variation, wherein, advanced treating image Second amplitude of variation of each pixel of last column directly takes the second amplitude of variation of the same column pixel of lastrow, depth Second amplitude of variation of each pixel of last row of processing image directly takes the second change of colleague's pixel of previous column Change amplitude;
    Amplitude of variation selects equipment, respectively with the first amplitude of variation detection device and the second amplitude of variation detection device Connection, for the pixel value for each pixel in advanced treating image, by its first amplitude of variation and its second change Amplitude compares, and takes the maximum amplitude of variation the most final between its first amplitude of variation and its second amplitude of variation;
    Amplitude of variation processing equipment, is connected with amplitude of variation selection equipment, for for each in advanced treating image The pixel value of individual pixel, its final amplitude of variation is compared with default amplitude of variation threshold value, big for final amplitude of variation In each pixel equal to default amplitude of variation threshold value, processing is sharpened to its pixel value with the pixel value after being handled, It is less than each pixel of default amplitude of variation threshold value to final amplitude of variation, directly regard its pixel value as the pixel after processing The corresponding amplitude of variation processing of pixel value formation advanced treating image after the processing of all pixels in value, advanced treating image Image;Wherein, default amplitude of variation threshold value is determined according to sharpening level, sharpening level is higher, presets amplitude of variation threshold value smaller;
    Information of vehicles identification equipment, is connected with amplitude of variation processing equipment, for receiving the amplitude of variation processing image, to institute State amplitude of variation processing image and carry out motion target tracking to obtain current kinetic target subgraph, to current kinetic target subgraph As carrying out type identification to obtain the corresponding type of vehicle of current kinetic target subgraph, current kinetic target subgraph is carried out Car license recognition is to obtain the corresponding vehicle license plate number of current kinetic target subgraph;
    Field data sends equipment, is connected with the information of vehicles identification equipment, for current kinetic target subgraph is corresponding Type of vehicle and the corresponding vehicle license plate number of current kinetic target subgraph transmit to neighbouring traffic control center Server at.
  7. 7. method as claimed in claim 6, it is characterised in that the system also includes:
    Buzzer, is arranged in residence area, vicinity of big decibel detector, is connected with the information of vehicles identification equipment, use When current kinetic target subgraph corresponding type of vehicle is being received, with vehicle corresponding with current kinetic target subgraph The corresponding broadcasting frequency of type beeps.
  8. 8. the method as described in claim 6-7 is any, it is characterised in that:
    The depth detection process equipment, the first amplitude of variation detection device, the second amplitude of variation detection device, institute State amplitude of variation selection equipment, the amplitude of variation processing equipment, the information of vehicles identification equipment and field data hair Equipment is sent to be integrated in same SOC.
CN201710751814.2A 2017-08-28 2017-08-28 A kind of on-site identification disturbs residents the method for vehicle Pending CN107331158A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710751814.2A CN107331158A (en) 2017-08-28 2017-08-28 A kind of on-site identification disturbs residents the method for vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710751814.2A CN107331158A (en) 2017-08-28 2017-08-28 A kind of on-site identification disturbs residents the method for vehicle

Publications (1)

Publication Number Publication Date
CN107331158A true CN107331158A (en) 2017-11-07

Family

ID=60203837

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710751814.2A Pending CN107331158A (en) 2017-08-28 2017-08-28 A kind of on-site identification disturbs residents the method for vehicle

Country Status (1)

Country Link
CN (1) CN107331158A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110400265A (en) * 2019-04-23 2019-11-01 泰州悦诚科技信息咨询中心 Service request triggers system
WO2020007103A1 (en) * 2018-07-04 2020-01-09 旭宇光电(深圳)股份有限公司 Outdoor lighting intelligent control method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4006616B2 (en) * 2000-12-01 2007-11-14 オムロン株式会社 Vehicle monitoring device
CN105096606A (en) * 2015-08-31 2015-11-25 成都众孚理想科技有限公司 Automobile whistling and red light running snapshot system
CN105959654A (en) * 2016-07-13 2016-09-21 合肥指南针电子科技有限责任公司 Intelligent management system for service hall
CN106231242A (en) * 2016-06-28 2016-12-14 安徽华脉科技发展有限公司 A kind of library monitoring system
CN107045784A (en) * 2017-01-22 2017-08-15 苏州奇梦者网络科技有限公司 A kind of electronic traffic police system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4006616B2 (en) * 2000-12-01 2007-11-14 オムロン株式会社 Vehicle monitoring device
CN105096606A (en) * 2015-08-31 2015-11-25 成都众孚理想科技有限公司 Automobile whistling and red light running snapshot system
CN106231242A (en) * 2016-06-28 2016-12-14 安徽华脉科技发展有限公司 A kind of library monitoring system
CN105959654A (en) * 2016-07-13 2016-09-21 合肥指南针电子科技有限责任公司 Intelligent management system for service hall
CN107045784A (en) * 2017-01-22 2017-08-15 苏州奇梦者网络科技有限公司 A kind of electronic traffic police system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴国平: "《数字图像处理原理》", 30 September 2007, 中国地质大学出版社 *
田泽: "《SOC设计方法学》", 31 December 2016, 西北工业大学出版社 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020007103A1 (en) * 2018-07-04 2020-01-09 旭宇光电(深圳)股份有限公司 Outdoor lighting intelligent control method and system
CN110400265A (en) * 2019-04-23 2019-11-01 泰州悦诚科技信息咨询中心 Service request triggers system

Similar Documents

Publication Publication Date Title
CN102941853B (en) Based on intelligent auxiliary driving system for automobiles and the method for real-time radio communication network
CN104408917B (en) Based on smart mobile phone acceleration transducer real-time traffic method of estimation
CN105023428B (en) Traffic information appraisal procedure and device
CN110191832A (en) Controller of vehicle, control method for vehicle and vehicle control program
CN102167041A (en) Method for determining driving state of vehicle based on acceleration sensor
CN105551082A (en) Method and device of pavement identification on the basis of laser-point cloud
CN104359493B (en) High-precision direction correction method under vehicle-mounted condition of smart phone
CN103903465A (en) Method and system for releasing reason for road congestion in real time
CN110740914B (en) Vehicle control system, vehicle control method, and storage medium
CN107331158A (en) A kind of on-site identification disturbs residents the method for vehicle
CN107680391A (en) Two pattern fuzzy control methods of crossroad access stream
CN107393294A (en) Shared bicycle and its parking method
CN113905941B (en) Vehicle control in a geographic control region
CN107301775A (en) Period in morning noise vehicle detection platform
DE102018111514A1 (en) METHOD AND DEVICE FOR DETECTING THE ROAD POSITION POSITION
CN107331157A (en) Disturb residents vehicle on-site identification system
CN112307922A (en) Remote sensing data transceiving-based crisis analysis platform
CN113436448B (en) Signalized intersection lane borrowing left-turning lane design method and system
CN104111095B (en) Automobile fuel consumption analysis method and system based on motoring condition
CN112800549B (en) Automobile road spectrum synthesis method and system based on horizontal speed and vertical speed
CN106297373B (en) Parking lot vehicle detection method based on cross-correlation and geomagnetic sensors
CN107134148A (en) Road occupation for parking behavioral value method and apparatus
CN108091138A (en) A kind of car networking data processing method
CN115571152B (en) Safety early warning method, device, system, equipment and medium for non-motor vehicle
CN107328468A (en) A kind of method for detecting noise 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
RJ01 Rejection of invention patent application after publication

Application publication date: 20171107

RJ01 Rejection of invention patent application after publication