CN110516675A - Image big data acquisition and analysis device and method - Google Patents

Image big data acquisition and analysis device and method Download PDF

Info

Publication number
CN110516675A
CN110516675A CN201910149000.0A CN201910149000A CN110516675A CN 110516675 A CN110516675 A CN 110516675A CN 201910149000 A CN201910149000 A CN 201910149000A CN 110516675 A CN110516675 A CN 110516675A
Authority
CN
China
Prior art keywords
equipment
image
amplitude
processing
connect
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.)
Granted
Application number
CN201910149000.0A
Other languages
Chinese (zh)
Other versions
CN110516675B (en
Inventor
高秀丽
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.)
System integration Co., Ltd
Original Assignee
高秀丽
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 高秀丽 filed Critical 高秀丽
Priority to CN201910149000.0A priority Critical patent/CN110516675B/en
Publication of CN110516675A publication Critical patent/CN110516675A/en
Application granted granted Critical
Publication of CN110516675B publication Critical patent/CN110516675B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/148Segmentation of character regions
    • G06V30/153Segmentation of character regions using recognition of characters or words
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/145Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
    • G08G1/148Management of a network of parking areas
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/24Aligning, centring, orientation detection or correction of the image
    • G06V10/247Aligning, centring, orientation detection or correction of the image by affine transforms, e.g. correction due to perspective effects; Quadrilaterals, e.g. trapezoids
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Business, Economics & Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Finance (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to a kind of image big data acquisition and analysis devices, it include: navigation data receiving device, it is connect with Number Reorganization equipment, for receiving the auto navigation position of in-vehicle navigation apparatus wireless transmission corresponding with license plate number, the auto navigation position is the navigation position of automobile where the in-vehicle navigation apparatus;Free time assessment equipment, it is arranged in the console of automobile, it is connect with the navigation data receiving device, returns the time required for the parking stall of vehicle body side using as residence time for automobile where calculating the in-vehicle navigation apparatus based on the auto navigation position and Ben Che navigation position.Image big data acquisition and analysis device of the invention is compact to design, convenient and practical.

Description

Image big data acquisition and analysis device and method
Technical field
The present invention relates to image big data acquisition field more particularly to a kind of image big data acquisition and analysis devices.
Background technique
Image Acquisition is that the means of real-time image information acquisition are carried out using state-of-the-art technology, in current multimedia technology It occupies an important position.In daily life, the fields such as field of biomedicine, aerospace, which suffer from, is widely applied.Image Speed, the quality of acquisition directly influence the overall effect of product.
Image information is one of the most important information that the mankind obtain, and Image Acquisition is in Digital Image Processing, image recognition Equal fields are using very extensive.The acquisition and processing of realtime graphic occupy an important position in current multimedia technology.It is daily The products such as digital camera seen in life, videophone, multimedia IP phone and videoconference, real time image collection are them In core technology.Speed, the quality of Image Acquisition directly influence the overall effect of product.
Summary of the invention
The present invention needs to have inventive point crucial at following two:
(1) license plate is corresponded to by the parking stall to current vehicle side and carries out specific aim identification, receive the license plate recognized The auto navigation position of corresponding in-vehicle navigation apparatus wireless transmission, based on the auto navigation position and Ben Che navigation position Automobile where calculating the in-vehicle navigation apparatus returns the time required for the parking stall of vehicle body side using as residence time, to make The reference time on the parking stall is stopped for this vehicle, to provide reference data for parking charge of the parking lot to this vehicle;
(2) on the basis of executing geometric correction processing to image, two color channel values of the customization in image are held Line distortion correction process, remaining color channel values are not involved in distortion correction processing, then execute subsequent non-linear interpolation processing, To ensure the quality and efficiency of image procossing.
According to an aspect of the present invention, a kind of image big data acquisition and analysis device is provided, described device includes:
Number Reorganization equipment is connect with non-linear interpolation equipment, is known for executing OCR character to non-linear interpolation image Not, to obtain one or more of character strings, and by wherein two-by-two the quantity of the pixel between character be less than or equal to it is pre- If the character string of amount threshold is exported as license plate number;
Navigation data receiving device is connect with the Number Reorganization equipment, corresponding with the license plate number for receiving The auto navigation position of in-vehicle navigation apparatus wireless transmission, the auto navigation position are automobile where the in-vehicle navigation apparatus Navigation position;
Free time assessment equipment, is arranged in the console of automobile, connect, is used for the navigation data receiving device Automobile returns vehicle body side where calculating the in-vehicle navigation apparatus based on the auto navigation position and Ben Che navigation position Time required for parking stall is using as residence time;
The top on the parking stall of vehicle body side is arranged in liquid crystal display, for described in the reception of link by wireless communication The residence time that free time assessment equipment is sent, and residence time described in real-time display;
The top on the parking stall of vehicle body side is arranged in live counting equipment, connect with the liquid crystal display, is used for base Corresponding vehicle Parking Fee is calculated in the residence time and is shown on the liquid crystal display;
Side acquires equipment, the vehicle body of the driver's cabin side of automobile is embedded in, for the parking stall to vehicle body side The acquisition of image big data is carried out, to obtain side scene image;
Amplitude judges equipment, is arranged in the console of automobile, connect with side acquisition equipment, described for receiving Side scene image detects the amplitude of the various types interference in the side scene image, will have amplitude peak Interference type be used as with reference to interference type export;
Numerical value extract equipment, is arranged in the console of automobile, judges that equipment is connect with the amplitude, described for extracting With reference to amplitude peak of the interference type in the side scene image to be exported as reference amplitude;
Geometrical correction device is arranged in the console of automobile, for receiving the side scene figure under operation Picture executes geometric correction processing to the side scene image, to obtain geometric correction image;
Freescale IMX6 processing equipment, is arranged in the console of automobile, respectively with the numerical value extract equipment and institute State geometrical correction device connection, for the reference amplitude received be more than or equal to predetermined amplitude threshold value when, by the geometry school Positive equipment is switched to operating status from power down mode;
The Freescale IMX6 processing equipment is also used to when the reference amplitude received is less than predetermined amplitude threshold value, will The geometrical correction device is switched to power down mode from operating status;
The geometrical correction device be also used to stop under the power down mode to the reception of the side scene image with And geometric correction processing;
Channel value extract equipment is connect with the geometrical correction device, for receiving geometric correction image, to the geometry It corrects image and executes the conversion of RGB color to the space LAB, to obtain each pixel in the geometric correction image L channel value, A channel value and channel B value;
Correction processing apparatus is connect with the channel value extract equipment, for the channel L in the geometric correction image Value executes distortion correction processing, to obtain the first processing image, and executes distortion to the A channel value in the first processing image Correction process, to obtain second processing image;
Non-linear interpolation equipment is connect with the correction processing apparatus, non-thread for executing to the second processing image Property interpolation processing, to obtain non-linear interpolation image.
According to another aspect of the present invention, a kind of image big data capturing analysis method is additionally provided, the method includes Using a kind of such as above-mentioned image big data acquisition and analysis device, for being calculated based on auto navigation position and Ben Che navigation position Automobile where the in-vehicle navigation apparatus returns the time required for the parking stall of vehicle body side to be parking lot as residence time Reference data is provided to the parking charge of this vehicle.
Image big data acquisition and analysis device of the invention is compact to design, convenient and practical.Due to being based on auto navigation position Automobile where calculating the in-vehicle navigation apparatus with this vehicle navigation position return the time required for the parking stall of vehicle body side with As residence time, to provide reference data for parking charge of the parking lot to this vehicle.
Specific embodiment
The embodiment of image big data acquisition and analysis device of the invention will be described in detail below.
The charge that parking facility carries out motor vehicle parking, is just called parking fee.Parking fee collecting mode is periodically received mostly The modes such as mode is taken, collects, collect on time in due order, collecting the major source of revenues that parking fee is professional parking lot management company.
Parking system is the main tool for collecting parking fee, and regular charge method is generally used and monthly collected, that is, One vehicle monthly hands over a fixed Parking Fee, and in the moon, vehicle can pass in and out infinitely, not discouraging of parking duration.This Class vehicle is also known as long to hire a car.Opposite, for interim vehicle, generally according to the time span of parking, collect parking management Expense, toll-ratio derive from the policy document of municipal administration department, and the rate in each city will be different, same city Different zones would also vary from, and this kind of vehicle is hired a car when being also known as.
Currently, the parking charge in parking lot still is limited to the parking charge to non-personal parking stall, and is unable to fully excavate private The idle parking stall of people parking stall utilizes space, in fact, some individuals also wish in the automobile of oneself not in oneself parking stall or Apart from oneself parking stall it is remote apart from when paid formula oneself idle parking stall be provided used to public vehicles.
In order to overcome above-mentioned deficiency, the present invention has built a kind of image big data acquisition and analysis device, can effectively solve the problem that Corresponding technical problem.
The image big data acquisition and analysis device shown according to an embodiment of the present invention includes:
Number Reorganization equipment is connect with non-linear interpolation equipment, is known for executing OCR character to non-linear interpolation image Not, to obtain one or more of character strings, and by wherein two-by-two the quantity of the pixel between character be less than or equal to it is pre- If the character string of amount threshold is exported as license plate number;
Navigation data receiving device is connect with the Number Reorganization equipment, corresponding with the license plate number for receiving The auto navigation position of in-vehicle navigation apparatus wireless transmission, the auto navigation position are automobile where the in-vehicle navigation apparatus Navigation position;
Free time assessment equipment, is arranged in the console of automobile, connect, is used for the navigation data receiving device Automobile returns vehicle body side where calculating the in-vehicle navigation apparatus based on the auto navigation position and Ben Che navigation position Time required for parking stall is using as residence time;
The top on the parking stall of vehicle body side is arranged in liquid crystal display, for described in the reception of link by wireless communication The residence time that free time assessment equipment is sent, and residence time described in real-time display;
The top on the parking stall of vehicle body side is arranged in live counting equipment, connect with the liquid crystal display, is used for base Corresponding vehicle Parking Fee is calculated in the residence time and is shown on the liquid crystal display;
Side acquires equipment, the vehicle body of the driver's cabin side of automobile is embedded in, for the parking stall to vehicle body side The acquisition of image big data is carried out, to obtain side scene image;
Amplitude judges equipment, is arranged in the console of automobile, connect with side acquisition equipment, described for receiving Side scene image detects the amplitude of the various types interference in the side scene image, will have amplitude peak Interference type be used as with reference to interference type export;
Numerical value extract equipment, is arranged in the console of automobile, judges that equipment is connect with the amplitude, described for extracting With reference to amplitude peak of the interference type in the side scene image to be exported as reference amplitude;
Geometrical correction device is arranged in the console of automobile, for receiving the side scene figure under operation Picture executes geometric correction processing to the side scene image, to obtain geometric correction image;
Freescale IMX6 processing equipment, is arranged in the console of automobile, respectively with the numerical value extract equipment and institute State geometrical correction device connection, for the reference amplitude received be more than or equal to predetermined amplitude threshold value when, by the geometry school Positive equipment is switched to operating status from power down mode;
The Freescale IMX6 processing equipment is also used to when the reference amplitude received is less than predetermined amplitude threshold value, will The geometrical correction device is switched to power down mode from operating status;
The geometrical correction device be also used to stop under the power down mode to the reception of the side scene image with And geometric correction processing;
Channel value extract equipment is connect with the geometrical correction device, for receiving geometric correction image, to the geometry It corrects image and executes the conversion of RGB color to the space LAB, to obtain each pixel in the geometric correction image L channel value, A channel value and channel B value;
Correction processing apparatus is connect with the channel value extract equipment, for the channel L in the geometric correction image Value executes distortion correction processing, to obtain the first processing image, and executes distortion to the A channel value in the first processing image Correction process, to obtain second processing image;
Non-linear interpolation equipment is connect with the correction processing apparatus, non-thread for executing to the second processing image Property interpolation processing, to obtain non-linear interpolation image;
Wherein, in the correction processing apparatus, the L channel value in the geometric correction image is executed at distortion correction Reason participates in distortion school to obtain each L channel value that the first processing image includes: each pixel in the geometric correction image Positive to handle, each A channel value and each channel B value of each pixel are not involved at distortion correction in the geometric correction image Reason;
Wherein, in the correction processing apparatus, the A channel value in the first processing image is executed at distortion correction Reason participates in distortion school to obtain each A channel value that second processing image includes: each pixel in the first processing image Positive to handle, each L channel value, each channel B value of each pixel are not involved at distortion correction in the geometric correction image Reason.
Then, continue that the specific structure of image big data acquisition and analysis device of the invention is further detailed.
In described image big data acquisition and analysis device:
The amplitude judges that equipment includes the sub- equipment of Interference Detection, the sub- equipment of amplitude recognition, the more sub- equipment sum number of amplitude According to the sub- equipment of output.
In described image big data acquisition and analysis device:
Judge in equipment in the amplitude, the sub- equipment of Interference Detection is connect with the sub- equipment of the amplitude recognition, described The more sub- equipment of amplitude exports sub- equipment with the sub- equipment of the amplitude recognition and the data respectively and connect.
In described image big data acquisition and analysis device:
The navigation data receiving device is one of tdd communication apparatus or frequency duplex communications equipment;
Wherein, the free time assessment equipment is realized by the CPLD chip designed using VHDL language.
Can also include: in described image big data acquisition and analysis device
Signal recognition equipment is connect with the non-linear interpolation equipment, for receiving the non-linear interpolation image, to institute It states non-linear interpolation image and executes edge enhancing processing, to obtain corresponding edge enhanced images, be also used to receive to the side Edge enhances image and executes light dark ratio parsing operation, to obtain the light dark ratios of the edge enhanced images using defeated as reference light dark ratio Out.
In described image big data acquisition and analysis device:
In the signal recognition equipment, light dark ratio parsing operation is executed to the edge enhanced images, described in obtaining The light dark ratio of edge enhanced images is to include: to obtain each pixel in the edge enhanced images as the output of reference light dark ratio Each brightness value, by the maximum brightness value in each brightness value divided by minimum luminance value with determination it is described refer to light and shade Than, and export described with reference to light dark ratio.
Can also include: in described image big data acquisition and analysis device
Data analysis equipment is connect with the signal recognition equipment, described with reference to light dark ratio for receiving, and by the ginseng It examines light dark ratio to be compared with light dark ratio threshold value, to issue when the reference light dark ratio is more than or equal to the light dark ratio threshold value First compares instruction, when the reference light dark ratio is less than the light dark ratio threshold value, issues second and compares instruction.
Can also include: in described image big data acquisition and analysis device
Nonlinear adjustment equipment compares equipment and the signal recognition with the Number Reorganization equipment, the parameter respectively Equipment connection, for executing non-linear dynamic range to the edge enhanced images when receiving the second comparison instruction Adjustment processing, to obtain nonlinear adjustment image, is also used to when receiving first control instruction, the edge is enhanced Image is as nonlinear adjustment image.
Can also include: in described image big data acquisition and analysis device
Optical fiber transceiving equipment is connect with the nonlinear adjustment equipment, promotes image for receiving the range, and pass through Optic communication links send the nonlinear adjustment image;
The nonlinear adjustment equipment is also used to replacing the nonlinear adjustment image into the non-linear interpolation image hair Give the Number Reorganization equipment;
Wherein, it is also built-in with ram cell in the parameter comparison equipment, for storing the light dark ratio threshold value.
Meanwhile in order to overcome above-mentioned deficiency, the present invention has also built a kind of image big data capturing analysis method, the side Method includes using a kind of such as above-mentioned image big data acquisition and analysis device, for being based on auto navigation position and Ben Che navigation bits It sets automobile where calculating the in-vehicle navigation apparatus and returns the time required for the parking stall of vehicle body side using as residence time, Reference data is provided for parking charge of the parking lot to this vehicle.
In addition, optical fiber is writing a Chinese character in simplified form for optical fiber, it is a kind of fiber made of glass or plastics, can be used as light conduction work Tool.Transmission principle is ' total reflection of light '.Fine optical fiber is encapsulated in plastic sheath, allows it to be bent and be unlikely to disconnected It splits.In general, the emitter of one end of optical fiber uses light emitting diode (light emitting diode, LED) or a branch of sharp Light pulse is sent to optical fiber by light, and the reception device of the other end of optical fiber detects pulse using light-sensitive element.
In multimode fibre, the diameter of core is 50 μm and 62.5 μm two kinds, substantially suitable with the thickness of the hair of people.And it is single The diameter of mode fiber core is 8 μm~10 μm, and the most commonly used is 9/125 μm.One layer of refractive index glass lower than core is surrounded outside core Big envelope, is commonly called as covering, and covering makes light be maintained at in-core.Outside is one layer of thin plastic wrapper, i.e. coat again, is used to Protect covering.Optical fiber is usually bundled into beam, and there is shell protection in outside.The fibre core usually cross-sectional area made of quartz glass is very Small double concentric circle cylinder, his quality is crisp, easy fracture, it is therefore desirable to an additional protective layer.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or Implicitly include at least one this feature.
Although the present invention is disclosed as above with embodiment, it is not intended to limit the invention, any technical field Those of ordinary skill should can make change appropriate and same replacement without departing from the spirit and scope of the present invention. Therefore protection scope of the present invention should be subject to the range that the claim of this application defined.

Claims (10)

1. a kind of image big data acquisition and analysis device, described device include:
Number Reorganization equipment is connect with non-linear interpolation equipment, for executing OCR character recognition to non-linear interpolation image, with Obtain one or more of character strings, and by wherein the quantity of the pixel between character is less than or equal to preset quantity two-by-two The character string of threshold value is exported as license plate number;
Navigation data receiving device is connect with the Number Reorganization equipment, corresponding with the license plate number vehicle-mounted for receiving The auto navigation position of navigation equipment wireless transmission, the auto navigation position are leading for automobile where the in-vehicle navigation apparatus Boat position;
Free time assessment equipment, is arranged in the console of automobile, connect with the navigation data receiving device, for being based on Automobile returns the parking of vehicle body side where the auto navigation position and Ben Che navigation position calculate the in-vehicle navigation apparatus Time required for position is using as residence time;
The top on the parking stall of vehicle body side is arranged in liquid crystal display, receives the free time for link by wireless communication The residence time that time assessment equipment is sent, and residence time described in real-time display;
The top on the parking stall of vehicle body side is arranged in live counting equipment, connect with the liquid crystal display, for being based on institute Residence time is stated to calculate corresponding vehicle Parking Fee and be shown on the liquid crystal display;
Side acquires equipment, is embedded in the vehicle body of the driver's cabin side of automobile, carries out for the parking stall to vehicle body side Image big data acquisition, to obtain side scene image;
Amplitude judges equipment, is arranged in the console of automobile, connect with side acquisition equipment, for receiving the side Scene image detects the amplitude of the various types interference in the side scene image, will be dry with amplitude peak The type disturbed is used as to be exported with reference to interference type;
Numerical value extract equipment, is arranged in the console of automobile, judges that equipment is connect with the amplitude, for extracting the reference Amplitude peak of the interference type in the side scene image as reference amplitude to export;
Geometrical correction device is arranged in the console of automobile, right for receiving the side scene image under operation The side scene image executes geometric correction processing, to obtain geometric correction image;
Freescale IMX6 processing equipment, is arranged in the console of automobile, respectively with the numerical value extract equipment and described several What calibration equipment connection, for when the reference amplitude received is more than or equal to predetermined amplitude threshold value, the geometric correction to be set It is standby to be switched to operating status from power down mode;
The Freescale IMX6 processing equipment is also used to when the reference amplitude received is less than predetermined amplitude threshold value, will be described Geometrical correction device is switched to power down mode from operating status;
The geometrical correction device is also used to stop under the power down mode to the reception of the side scene image and several What correction process;
Channel value extract equipment is connect with the geometrical correction device, for receiving geometric correction image, to the geometric correction Image executes the conversion of RGB color to the space LAB, logical with the L for obtaining each pixel in the geometric correction image Road value, A channel value and channel B value;
Correction processing apparatus is connect with the channel value extract equipment, for holding to the L channel value in the geometric correction image Line distortion correction process to obtain the first processing image, and executes distortion correction to the A channel value in the first processing image Processing, to obtain second processing image;
Non-linear interpolation equipment is connect with the correction processing apparatus, for executing non-linear insert to the second processing image Value processing, to obtain non-linear interpolation image;
Wherein, in the correction processing apparatus, distortion correction processing is executed to the L channel value in the geometric correction image, Distortion correction is participated in obtain each L channel value that the first processing image includes: each pixel in the geometric correction image It handles, each A channel value and each channel B value of each pixel are not involved at distortion correction in the geometric correction image Reason;
Wherein, in the correction processing apparatus, distortion correction processing is executed to the A channel value in the first processing image, Distortion correction is participated in obtain each A channel value that second processing image includes: each pixel in the first processing image It handles, each L channel value, each channel B value of each pixel are not involved in distortion correction processing in the geometric correction image.
2. image big data acquisition and analysis device as described in claim 1, it is characterised in that:
The amplitude judges that equipment includes that the sub- equipment of Interference Detection, the sub- equipment of amplitude recognition, the more sub- equipment of amplitude and data are defeated Sub- equipment out.
3. image big data acquisition and analysis device as claimed in claim 2, it is characterised in that:
Judge in equipment in the amplitude, the sub- equipment of Interference Detection is connect with the sub- equipment of the amplitude recognition, the amplitude Compare sub- equipment to connect with the sub- equipment of the amplitude recognition and the sub- equipment of data output respectively.
4. image big data acquisition and analysis device as claimed in claim 3, it is characterised in that:
The navigation data receiving device is one of tdd communication apparatus or frequency duplex communications equipment;
Wherein, the free time assessment equipment is realized by the CPLD chip designed using VHDL language.
5. image big data acquisition and analysis device as claimed in claim 4, which is characterized in that described device further include:
Signal recognition equipment is connect with the non-linear interpolation equipment, for receiving the non-linear interpolation image, to described non- Linear interpolation image executes edge enhancing processing, to obtain corresponding edge enhanced images, is also used to receive to edge increasing Strong image executes light dark ratio parsing operation, to obtain the light dark ratio of the edge enhanced images to export as reference light dark ratio.
6. image big data acquisition and analysis device as claimed in claim 5, it is characterised in that:
In the signal recognition equipment, light dark ratio parsing operation is executed to the edge enhanced images, to obtain the edge Enhance the light dark ratio of image to include: each of each pixel in the acquisition edge enhanced images as the output of reference light dark ratio A brightness value, the maximum brightness value in each brightness value is described with reference to light dark ratio with determination divided by minimum luminance value, and It exports described with reference to light dark ratio.
7. image big data acquisition and analysis device as claimed in claim 6, which is characterized in that described device further include:
Data analysis equipment is connect with the signal recognition equipment, described with reference to light dark ratio for receiving, and by described with reference to bright Dark ratio is compared with light dark ratio threshold value, to issue first when the reference light dark ratio is more than or equal to the light dark ratio threshold value Instruction is compared, when the reference light dark ratio is less than the light dark ratio threshold value, second is issued and compares instruction.
8. image big data acquisition and analysis device as claimed in claim 7, which is characterized in that described device further include:
Nonlinear adjustment equipment compares equipment and the signal recognition equipment with the Number Reorganization equipment, the parameter respectively Connection, for executing non-linear dynamic range adjustment to the edge enhanced images when receiving the second comparison instruction Processing, to obtain nonlinear adjustment image, is also used to when receiving first control instruction, by the edge enhanced images As nonlinear adjustment image.
9. image big data acquisition and analysis device as claimed in claim 8, which is characterized in that described device further include:
Optical fiber transceiving equipment is connect with the nonlinear adjustment equipment, promotes image for receiving the range, and pass through optical fiber Communication link sends the nonlinear adjustment image;
The nonlinear adjustment equipment is also used to the nonlinear adjustment image replacing the non-linear interpolation image and be sent to The Number Reorganization equipment;
Wherein, it is also built-in with ram cell in the parameter comparison equipment, for storing the light dark ratio threshold value.
10. a kind of image big data capturing analysis method, a kind of as described in claim 1-9 is any the method includes providing Image big data acquisition and analysis device, for calculating the in-vehicle navigation apparatus based on auto navigation position and Ben Che navigation position Place automobile returns the time required for the parking stall of vehicle body side to be parking charge of the parking lot to this vehicle as residence time Reference data is provided.
CN201910149000.0A 2019-02-28 2019-02-28 Image big data acquisition and analysis device and method Active CN110516675B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910149000.0A CN110516675B (en) 2019-02-28 2019-02-28 Image big data acquisition and analysis device and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910149000.0A CN110516675B (en) 2019-02-28 2019-02-28 Image big data acquisition and analysis device and method

Publications (2)

Publication Number Publication Date
CN110516675A true CN110516675A (en) 2019-11-29
CN110516675B CN110516675B (en) 2020-07-21

Family

ID=68622446

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910149000.0A Active CN110516675B (en) 2019-02-28 2019-02-28 Image big data acquisition and analysis device and method

Country Status (1)

Country Link
CN (1) CN110516675B (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101783079A (en) * 2009-01-20 2010-07-21 上海迪哈大计算机科技有限公司 Control device and control method for indicating parking spaces in intelligent traffic system
CN103247179A (en) * 2013-05-15 2013-08-14 王明伟 Community parking space sharing and use reserving service system based on vehicle identification
US20140278081A1 (en) * 2013-03-13 2014-09-18 Nokia Corporation Parking Information Based on Destination
US20140379442A1 (en) * 2012-04-23 2014-12-25 Transparent Wireless Systems, Llc Methods and systems for electronic payment for on-street parking
CN105489057A (en) * 2016-01-13 2016-04-13 中国科学院城市环境研究所 Common residential district unoccupied parking space optimized utilization system and method
CN106558246A (en) * 2016-11-22 2017-04-05 深圳市智慧交通有限公司 A kind of parking stall sharing method and system
CN107316497A (en) * 2017-08-23 2017-11-03 合肥龙图腾信息技术有限公司 The sharing distribution system and application method on a kind of privately owned parking stall
CN107545769A (en) * 2016-06-29 2018-01-05 武汉深捷科技股份有限公司 Cell temporary parking position intelligence reservation system and method
CN107730977A (en) * 2017-09-26 2018-02-23 新智数字科技有限公司 A kind of temporary parking method, apparatus and electronic equipment
CN108182821A (en) * 2017-11-28 2018-06-19 重庆捷掣高科技有限公司 Parking position intelligent-sharing system and its implementation
CN108734987A (en) * 2017-04-13 2018-11-02 阿尔派株式会社 Parking aid and its parking assistance method
CN108922235A (en) * 2018-07-20 2018-11-30 西安艾润物联网技术服务有限责任公司 Parking space state monitoring method, device and computer readable storage medium

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101783079A (en) * 2009-01-20 2010-07-21 上海迪哈大计算机科技有限公司 Control device and control method for indicating parking spaces in intelligent traffic system
US20140379442A1 (en) * 2012-04-23 2014-12-25 Transparent Wireless Systems, Llc Methods and systems for electronic payment for on-street parking
US20140278081A1 (en) * 2013-03-13 2014-09-18 Nokia Corporation Parking Information Based on Destination
CN103247179A (en) * 2013-05-15 2013-08-14 王明伟 Community parking space sharing and use reserving service system based on vehicle identification
CN105489057A (en) * 2016-01-13 2016-04-13 中国科学院城市环境研究所 Common residential district unoccupied parking space optimized utilization system and method
CN107545769A (en) * 2016-06-29 2018-01-05 武汉深捷科技股份有限公司 Cell temporary parking position intelligence reservation system and method
CN106558246A (en) * 2016-11-22 2017-04-05 深圳市智慧交通有限公司 A kind of parking stall sharing method and system
CN108734987A (en) * 2017-04-13 2018-11-02 阿尔派株式会社 Parking aid and its parking assistance method
CN107316497A (en) * 2017-08-23 2017-11-03 合肥龙图腾信息技术有限公司 The sharing distribution system and application method on a kind of privately owned parking stall
CN107730977A (en) * 2017-09-26 2018-02-23 新智数字科技有限公司 A kind of temporary parking method, apparatus and electronic equipment
CN108182821A (en) * 2017-11-28 2018-06-19 重庆捷掣高科技有限公司 Parking position intelligent-sharing system and its implementation
CN108922235A (en) * 2018-07-20 2018-11-30 西安艾润物联网技术服务有限责任公司 Parking space state monitoring method, device and computer readable storage medium

Also Published As

Publication number Publication date
CN110516675B (en) 2020-07-21

Similar Documents

Publication Publication Date Title
CN101833754A (en) Image enhancement method and image enhancement system
CN102426801A (en) Automatic parking lot berth management method and system based on visual analysis
CN103310201B (en) The recognition methods of target blend color
CN205123883U (en) Shortwave infrared imaging system based on inGaAs detector
CN201927051U (en) Face identifying device with function of resisting hard light
CN105374221A (en) Reminder system and reminder method of states of traffic lights
CN203351029U (en) Curb parking lot monitor and management system
CN105677206A (en) System and method for controlling head-up display based on vision
CN108830880B (en) Video visibility detection early warning method and system suitable for expressway
CN104994311A (en) Automatic adjustment light supplement method of electronic police apparatus
CN109326125B (en) Picture quality diagnosis system and method based on embedded system
CN204759557U (en) District parking management system
CN110516675A (en) Image big data acquisition and analysis device and method
CN107147877A (en) FX night fog day condition all-weather colorful video imaging system and its construction method
CN104113965B (en) A kind of human body sensing illuminator with monitoring function and method thereof
CN109269643A (en) Spectrum demodulating system and method based on mobile device screen light source
CN204883859U (en) Intelligence theftproof vehicle event data recorder
CN102194318A (en) Urban pedestrian traffic intelligent guidance system
CN109900278A (en) A kind of co-positioned system of intelligent network connection automobile
CN210896378U (en) Display screen capable of collecting environmental data
CN103257628B (en) A kind of method and apparatus of radar remote control
CN205726114U (en) A kind of detection device with network interface transmission line
CN205508136U (en) Electronic police monitoring system that makes a dash across red light
CN112351259A (en) Traffic monitoring system based on Internet of things
CN207133994U (en) One kind is based on the shared intelligent parking management system of Internet of Things

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
CB02 Change of applicant information

Address after: 646000 No.1 Zhenxing Road, Yutang Town, Lingang District, South Sichuan Free Trade Zone, Luzhou City, Sichuan Province

Applicant after: Gao Xiuli

Address before: 215301 No. 80, Longdeng Road, Kunshan Economic and Technological Development Zone, Suzhou City, Jiangsu Province

Applicant before: Gao Xiuli

CB02 Change of applicant information
TA01 Transfer of patent application right

Effective date of registration: 20200615

Address after: 361000 units a, e and F, 22 / F, Hongxiang building, No. 258, Hubin South Road, Xiamen City, Fujian Province

Applicant after: System integration Co., Ltd

Address before: 646000 No.1 Zhenxing Road, Yutang Town, Lingang District, South Sichuan Free Trade Zone, Luzhou City, Sichuan Province

Applicant before: Gao Xiuli

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant