CN106127768B - Big data car steering area image analysis system - Google Patents
Big data car steering area image analysis system Download PDFInfo
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- CN106127768B CN106127768B CN201610478313.7A CN201610478313A CN106127768B CN 106127768 B CN106127768 B CN 106127768B CN 201610478313 A CN201610478313 A CN 201610478313A CN 106127768 B CN106127768 B CN 106127768B
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- 238000006243 chemical reaction Methods 0.000 claims description 15
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30268—Vehicle interior
Abstract
The present invention relates to a kind of big data car steering area image analysis system, including CMOS sensing equipments, big data processing platform and MSP430 single-chip microcomputers, CMOS sensing equipments are used for the driver area image for gathering automobile, big data processing platform is connected with CMOS sensing equipments and MSP430 single-chip microcomputers respectively by network, relevant information for determining each sunlight subgraph in the image of driver area based on driver area image, and the relevant information of each sunlight subgraph in the image of driver area is sent to MSP430 single-chip microcomputers.By means of the invention it is possible to the relevant information in the tupe quick obtaining car steering area image of big data platform.
Description
Technical field
The present invention relates to big data process field, more particularly to a kind of big data car steering area image analysis system.
Background technology
Manual Types ofshading sunshade scope is smaller, it is impossible to which face whole to driver or even whole trunk are effectively protected
Shield.Therefore, in the prior art, the detection of electrons that some vehicle manufacturers are provided with sunlight strength near steering position is set
The electron detection device of standby or sunlight scope, the protection operator scheme of relevant device is determined according to testing result.
But, above-mentioned electronics Types ofshading is also excessively simple, on the one hand, do not account for vehicle travels direction to sun
The influence that light irradiation is brought, causes shaded effects not high, on the other hand, does not account in sunshade policy selection, driver
Selection and general passenger selection exist conflict part, cause to be consistent, nothing for the sunshade means of the whole vehicles
Method allowing for driver and the demand of other passengers, for example, when sunlight is too strong, may increase the air-conditioner temperature and wind of the vehicles
Amount, occurs so as to cause driver to obtain comfortable and other passenger's body-sensings cool situation excessively.
Accordingly, it would be desirable to which a kind of new scheme based on sunlight observing and controlling, improves existing electronics sunshade mechanism, by driving
The sunlight strength and sunlight model of position are detected, by association vehicle travels direction to determine sunshade strategy,
It is the most key, it is determined that sunshade strategy be for driver customize, fully take into account the difference of driver and other passengers
Sun-shading requirements, so as to provide more preferable Consumer's Experience for all personnel ridden public transportation means.
The content of the invention
In order to solve the above problems, the invention provides a kind of big data car steering area image analysis system, pass through
The specific sunlight radiation situation of detection steering position, introduces multiple images processing equipment and specific sunlight radiation situation is carried out in real time
Quantitative analysis, while the travel direction to the vehicles judges, so that according to travel direction, the corresponding position of sunlight subgraph
Put and corresponding area ratio determines steering position sunshade nearby or the driving control signal except hot equipment.
There is provided a kind of big data car steering area image analysis system, the system according to an aspect of the present invention
Including CMOS sensing equipments, big data processing platform and MSP430 single-chip microcomputers, CMOS sensing equipments are used for the driving for gathering automobile
Area image, big data processing platform is connected with CMOS sensing equipments and MSP430 single-chip microcomputers respectively by network, for based on
Driver area image determines the relevant information of each sunlight subgraph in the image of driver area, and by each in the image of driver area
The relevant information of sunlight subgraph is sent to MSP430 single-chip microcomputers.
More specifically, in the big data car steering area image analysis system, including：CMOS sensing equipments, if
Put in automobile, in front of steering position, for carrying out IMAQ to steering position scene to export driver area image；Big number
According to processing platform, it is connected by network with CMOS sensing equipments, for receiving driver area image and driver area image being entered
Row processing, big data processing platform includes：Gray processing processing equipment, is connected by network with CMOS sensing equipments, including passage
Parameter extraction unit, weighted value memory cell and gray value computing unit, channel parameters extraction unit are used to receive driver area
Image, extracts R passages pixel value, G passages pixel value and the channel B pixel value of each pixel in the image of driver area,
Weighted value memory cell is used to prestore R channel weightings value, G channel weightings value and channel B weighted value, and gray value calculates single
Member is connected with channel parameters extraction unit and weighted value memory cell respectively, for each pixel in the image of driver area,
By the product and channel B pixel of the product of R passages pixel value and R channel weighting values, G passages pixel value and G channel weighting values
The gray value for the pixel that the product addition of value and channel B weighted value is directed to obtaining, and based on each in the image of driver area
The gray value of pixel obtains the corresponding gray level image of driver area image；Wherein, R channel weightings value value is
0.298839, G channel weighting value value is 0.586811, and channel B weighted value value is 0.114350；Histogram distribution detection is set
It is standby, be connected with gray processing processing equipment, for receiving gray level image, and gray level image is carried out grey level histogram processing with
Corresponding histogram image is obtained, when bimodal distribution is presented in histogram image, global threshold selection signal is sent, otherwise, hair
Go out non-global threshold selection signal；Threshold value selects equipment, is connected with histogram distribution detection device, for receiving global threshold
When being worth selection signal, global threshold 128 is exported as threshold data, when receiving non-global threshold selection signal, by phase
The poor threshold value 40 of adjacent pixel gray level is exported as threshold data；Binary conversion treatment equipment, selects equipment and Nogata with threshold value respectively
Figure distribution detection device is connected, for when receiving global threshold selection signal, for each picture in gray level image
Vegetarian refreshments, when gray value be more than or equal to threshold data when, by for pixel be set to white level pixel, when gray value is less than
During threshold data, by for pixel be set to black level pixel, and the corresponding binary image of output gray level image；
Binary conversion treatment equipment is additionally operable to when receiving non-global threshold selection signal, for each pixel in gray level image
Point, calculates the gray value of the upward pixel apart from its 3 pixels of vertical direction as upper grey scale pixel value, calculates Vertical Square
To downwards apart from its 3 pixels pixel gray value as lower grey scale pixel value, calculated level direction to the left apart from its 3
The gray value of the pixel of individual pixel is as left grey scale pixel value, and calculated level direction is to the right apart from the picture of its 3 pixels
The gray value of vegetarian refreshments is as right grey scale pixel value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to
The absolute value of the difference of threshold data and left grey scale pixel value and right grey scale pixel value be less than or equal to threshold data when, by for picture
Vegetarian refreshments is set to white level pixel, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value be more than threshold data or
The absolute value of the difference of left grey scale pixel value and right grey scale pixel value be more than threshold data when, by for pixel be set to black appliances
Flat pixel, and the corresponding binary image of output gray level image；Picture smooth treatment equipment, connects with binary conversion treatment equipment
Connect, for receiving binary image, for each pixel in binary image, exist when in adjacent all pixels point
During the trip point of more than half, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel set
White level pixel is set to, and exports the corresponding smoothed image of binary image；Medium filtering equipment, sets with image balance processing
Standby connection, for receiving smoothed image, is analyzed to determine each noise point the gray value of the pixel of smoothed image
Maximum in the distribution radius in cloth region, the distribution radius based on each noise profile region determines to carry out the filter of medium filtering
Ripple pixel block size, uses the filtered pixel block size of determination to carry out median filter process to obtain filtering figure to smoothed image
Picture；Sunlight parameter detection equipment, is connected to obtain filtering image with medium filtering equipment；For each picture in filtering image
Vegetarian refreshments, its gray value is matched with default sunlight tonal range, when its gray value is in default sunlight tonal range, really
Fixed its is sunlight pixel；By in filtering image all sunlight pixels composition region split from filtering image with
Obtain each sunlight subgraph；And determine its position in filtering image based on each sunlight subgraph and calculate it to account for
According to the area ratio of filtering image；Export each sunlight subgraph and distinguish corresponding position and respectively corresponding area ratio；
Solar energy detection device, the current solar energy intensity for detecting in real time；Power supply unit, including solar powered device, electric power storage
Pond, switching switch and electric pressure converter, switching switch connect with solar energy detection device, solar powered device and battery respectively
Connect, when the not enough and current solar energy intensity of the dump energy of battery is optionally greater than preset strength threshold value, be switched to the sun
Energy power supply device by solar powered device to be powered, and electric pressure converter is connected with switching switch, will be defeated by switching switch
The 5V voltage conversions entered are 3.3V voltages, wherein solar powered device includes solar energy photovoltaic panel；Wireless charging device, respectively
It is connected with solar energy detection device and battery, when the not enough and current solar energy intensity of the dump energy of battery is less than default
During intensity, set up and be connected to start wireless charging operation with neighbouring wireless charging terminal, wireless charging device also turns with voltage
Parallel operation connects to realize voltage conversion；Digital compass, is arranged in the front end instrument board of automobile, for detecting and exporting in real time
Vehicle traveling direction；Digital compass includes two-dimensional magnetic field sensor, for being detected based on magnetic resistance and exporting vehicle traveling direction,
Digital compass also includes electromagnetic feedback circuit, the sensitive skew brought for eliminating because of temperature change；MSP430 monolithics
Machine, is arranged in the front end instrument board of automobile, is connected with digital compass, is also connected by network and sunlight parameter detection equipment
Connect, corresponding position and respectively corresponding area ratio are distinguished for receiving vehicle traveling direction, each sunlight subgraph, and
Corresponding position is distinguished based on vehicle traveling direction, each sunlight subgraph and corresponding area ratio determines driving control respectively
Signal processed；Multiple air outlets, are set in the different mount points near Driving Position respectively；Multiple Boiler pressure control equipment, often
One Boiler pressure control equipment one air outlet of correspondence, the air force for controlling correspondence air outlet；Air-conditioning control equipment is and more
Individual Boiler pressure control equipment connection, is also connected with MSP430 single-chip microcomputers, for receiving driving control signal, and based on drive control letter
Number control is driven to multiple Boiler pressure control equipment.
More specifically, in the big data car steering area image analysis system, in addition to：Mobile hard disk, is used for
The default sunlight tonal range of storage.
More specifically, in the big data car steering area image analysis system：Mobile hard disk is arranged on automobile
In the instrument board of front end.
More specifically, in the big data car steering area image analysis system：MSP430 single-chip microcomputers are hard with movement
Disk is integrated on one piece of surface-mounted integrated circuit.
More specifically, in the big data car steering area image analysis system, in addition to：Time division duplex communication connects
Mouthful, be connected with MSP430 single-chip microcomputers, for transmit wirelessly vehicle traveling direction, each sunlight subgraph corresponding position of difference with
And the corresponding area ratio of difference.
More specifically, in the big data car steering area image analysis system：Time division duplex communication interface is set
On body of a motor car.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the structure square frame of the big data car steering area image analysis system according to embodiment of the present invention
Figure.
Reference：1CMOS sensing equipments；2 big data processing platforms；3MSP430 single-chip microcomputers
Embodiment
The embodiment to the big data car steering area image analysis system of the present invention is carried out below with reference to accompanying drawings
Describe in detail.
Because the steering position where driver is typically in the front end of the vehicles, and the seating at other passengers
Position is typically in the rear end of the vehicles, therefore, and the sunlight irradiated area that driver is born is greater than general passenger and held
The sunlight irradiated area received, moreover, the sunlight exposure intensity that driver is born is greater than the sunlight photograph that general passenger is born
Penetrate intensity.As can be seen here, in the decision-making blocked for sunlight, the selection of driver and the selection of general passenger are the presence of conflict
Possibility.
However, the sunlight mechanism of blocking for driver is generally only to be simply to set a sunshading board in the prior art,
By driver in the case where sunlight strength is too high, manually select and push sunshading board and protected, this mode excessively falls behind.Together
When, electronics sunshade means of the prior art are fairly simple, do not account for the selection and the selection of general passenger of driver
Conflict part.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data car steering area image analysis system, can
In place of the conflict of the selection of selection and general passenger in view of driver, according to the specific sunlight radiation situation of steering position,
Exclusively for driver, a set of adaptive sunshade mechanism is set, thus solve driver selection and general passenger selection it
Between contradiction.
Fig. 1 is the structure square frame of the big data car steering area image analysis system according to embodiment of the present invention
Figure, the system includes CMOS sensing equipments, big data processing platform and MSP430 single-chip microcomputers, and CMOS sensing equipments are used to gather
The driver area image of automobile, big data processing platform is connected with CMOS sensing equipments and MSP430 single-chip microcomputers respectively by network
Connect, the relevant information for determining each sunlight subgraph in the image of driver area based on driver area image, and by driver's compartment
The relevant information of the sunlight subgraph of each in area image is sent to MSP430 single-chip microcomputers.
Then, continue to carry out further the concrete structure of the big data car steering area image analysis system of the present invention
Explanation.
The system includes：CMOS sensing equipments, are arranged in automobile, in front of steering position, for steering position
Scape carries out IMAQ to export driver area image；Big data processing platform, is connected by network with CMOS sensing equipments, is used
In reception driver area image and driver area image is handled.
Big data processing platform includes：Gray processing processing equipment, is connected by network with CMOS sensing equipments, including passage
Parameter extraction unit, weighted value memory cell and gray value computing unit, channel parameters extraction unit are used to receive driver area
Image, extracts R passages pixel value, G passages pixel value and the channel B pixel value of each pixel in the image of driver area,
Weighted value memory cell is used to prestore R channel weightings value, G channel weightings value and channel B weighted value, and gray value calculates single
Member is connected with channel parameters extraction unit and weighted value memory cell respectively, for each pixel in the image of driver area,
By the product and channel B pixel of the product of R passages pixel value and R channel weighting values, G passages pixel value and G channel weighting values
The gray value for the pixel that the product addition of value and channel B weighted value is directed to obtaining, and based on each in the image of driver area
The gray value of pixel obtains the corresponding gray level image of driver area image；Wherein, R channel weightings value value is
0.298839, G channel weighting value value is 0.586811, and channel B weighted value value is 0.114350；Histogram distribution detection is set
It is standby, be connected with gray processing processing equipment, for receiving gray level image, and gray level image is carried out grey level histogram processing with
Corresponding histogram image is obtained, when bimodal distribution is presented in histogram image, global threshold selection signal is sent, otherwise, hair
Go out non-global threshold selection signal；Threshold value selects equipment, is connected with histogram distribution detection device, for receiving global threshold
When being worth selection signal, global threshold 128 is exported as threshold data, when receiving non-global threshold selection signal, by phase
The poor threshold value 40 of adjacent pixel gray level is exported as threshold data.
Big data processing platform includes：Binary conversion treatment equipment, selects equipment and histogram distribution to detect with threshold value respectively
Equipment is connected, for when receiving global threshold selection signal, for each pixel in gray level image, working as gray scale
Value be more than or equal to threshold data when, by for pixel be set to white level pixel, when gray value be less than threshold data when,
By for pixel be set to black level pixel, and the corresponding binary image of output gray level image；Binary conversion treatment
Equipment is additionally operable to when receiving non-global threshold selection signal, for each pixel in gray level image, is calculated and is hung down
Nogata to upwards apart from its 3 pixels pixel gray value as upper grey scale pixel value, calculate vertical direction downwards away from
From its 3 pixels pixel gray value as lower grey scale pixel value, calculated level direction is to the left apart from its 3 pixels
Pixel gray value as left grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel ash
Angle value is as right grey scale pixel value, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are less than or equal to threshold data
And the absolute value of the difference of left grey scale pixel value and right grey scale pixel value be less than or equal to threshold data when, by for pixel set
For white level pixel, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are more than threshold data or left pixel ash
The absolute value of angle value and the difference of right grey scale pixel value be more than threshold data when, by for pixel be set to black level pixel
Point, and the corresponding binary image of output gray level image.
Big data processing platform includes：Picture smooth treatment equipment, is connected with binary conversion treatment equipment, for receiving two-value
Change image, for each pixel in binary image, when there is the saltus step of more than half in adjacent all pixels point
During point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel
Point, and export the corresponding smoothed image of binary image；Medium filtering equipment, is connected with image balance processing equipment, for connecing
Smoothed image is received, the gray value of the pixel of smoothed image is analyzed to determine the distribution half in each noise profile region
Maximum in footpath, the distribution radius based on each noise profile region determines the filtered pixel block size of progress medium filtering,
The filtered pixel block size of determination is used to carry out median filter process to obtain filtering image to smoothed image.
Big data processing platform includes：Sunlight parameter detection equipment, is connected to obtain filtering image with medium filtering equipment；
For each pixel in filtering image, its gray value is matched with default sunlight tonal range, when its gray value
When in default sunlight tonal range, sunlight pixel is determined that it is；By all sunlight pixels composition in filtering image
Region splits to obtain each sunlight subgraph from filtering image；And determine it in filter based on each sunlight subgraph
Position in ripple image and calculate its area ratio for occupying filtering image；Export each sunlight subgraph and distinguish corresponding position
Put and the corresponding area ratio of difference.
The system includes：Solar energy detection device, the current solar energy intensity for detecting in real time；Power supply unit, bag
Include solar powered device, battery, switching switch and electric pressure converter, switching switch respectively with solar energy detection device, too
Positive energy power supply device and battery connection, when the not enough and current solar energy intensity of the dump energy of battery is optionally greater than default
During intensity threshold, solar powered device is switched to be powered by solar powered device, and electric pressure converter connects with switching switch
Connect, using the 5V voltage conversions by input is switched by switching as 3.3V voltages, wherein solar powered device includes solar energy
Lie prostrate plate.
The system includes：Wireless charging device, is connected with solar energy detection device and battery, when battery respectively
When dump energy is not enough and current solar energy intensity is less than preset strength, sets up and be connected to open with neighbouring wireless charging terminal
Dynamic wireless charging operation, wireless charging device also is connected to realize voltage conversion with electric pressure converter；Digital compass, is arranged on
In the front end instrument board of automobile, for detecting in real time and exporting vehicle traveling direction；Digital compass is sensed including two-dimensional magnetic field
Device, for being detected based on magnetic resistance and exporting vehicle traveling direction, digital compass also include electromagnetic feedback circuit, for eliminate because
The sensitive skew brought for temperature change.
The system includes：MSP430 single-chip microcomputers, are arranged in the front end instrument board of automobile, are connected with digital compass,
Also it is connected, is corresponded to respectively for receiving vehicle traveling direction, each sunlight subgraph with sunlight parameter detection equipment by network
Position and corresponding area ratio, and corresponding position is distinguished based on vehicle traveling direction, each sunlight subgraph respectively
And corresponding area ratio determines driving control signal respectively；Multiple air outlets, are set near Driving Position respectively
In different mount points；Multiple Boiler pressure control equipment, each Boiler pressure control equipment one air outlet of correspondence, for controlling correspondence to go out
The air force in air port.
The system includes：Air-conditioning control equipment, is connected with multiple Boiler pressure control equipment, also connects with MSP430 single-chip microcomputers
Connect, control is driven to multiple Boiler pressure control equipment for receiving driving control signal, and based on driving control signal.
Alternatively, in the system, in addition to：Mobile hard disk, for storing default sunlight tonal range；Mobile hard disk
It is arranged in the front end instrument board of automobile；MSP430 single-chip microcomputers are integrated on one piece of surface-mounted integrated circuit with mobile hard disk；Also wrap
Include：Time division duplex communication interface, is connected with MSP430 single-chip microcomputers, for transmitting wirelessly vehicle traveling direction, each sunlight subgraph
As corresponding position and respectively corresponding area ratio respectively；Time division duplex communication interface is arranged on body of a motor car.
In addition, 4G LTE are the standards of a global general-use, including two kinds of network modes FDD and TDD, it is respectively used in pairs
Frequency spectrum and non-paired frequency spectrum.The choice of operator initially between two patterns is purely for the consideration to spectrum availability.Greatly
Multi-operator will dispose two kinds of networks simultaneously, so as to all frequency spectrum resources for making full use of it to possess.FDD and TDD are in technology
Upper to distinguish very little in fact, the main distinction is that using different duplex modes, FDD (FDD) and time division duplex (TDD)
It is two kinds of different duplex modes.
FDD is received and transmitted on two symmetrical frequency channels of separation, separated with protection frequency range reception and
Send channel.FDD must use paired frequency, carry out differentiating uplink and downlink link by frequency, its unidirectional resource is in the time
On be continuous.FDD can make full use of the frequency spectrum of up-downgoing when supporting symmetrical service, but when supporting non-symmetrical service, frequency
Spectrum utilization rate will be substantially reduced.
TDD separates reception with the time and sends channel.In the GSM of TDD modes, receive and transmission makes
With the different time-gap of same frequency carrier wave as the carrying of channel, its unidirectional resource is discontinuous, the time in time
Resource is distributed in the two directions.Some period sends a signal to mobile station by base station, and the time in addition is by moving
Platform sends a signal to base station, must harmonious ability work well between base station and mobile station.
Can not be steering position for prior art using the big data car steering area image analysis system of the present invention
Driver the technical problem of customization sunshade strategy is provided, by carrying out IMAQ to the sunlight radiation situation of steering position,
Introduce a series of images processing equipment accurately to analyze the image collected, by analysis result combination vehicle travels side
To determine the visor mode at steering position, it is determined that visor mode be specific to driver rather than all passengers.
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 (1)
1. a kind of big data car steering area image analysis system, the system includes CMOS sensing equipments, big data processing
Platform and MSP430 single-chip microcomputers, CMOS sensing equipments are used for the driver area image for gathering automobile, and big data processing platform passes through
Network is connected with CMOS sensing equipments and MSP430 single-chip microcomputers respectively, for determining driver area image based on driver area image
In each sunlight subgraph relevant information, and the relevant information of each sunlight subgraph in the image of driver area is sent to
MSP430 single-chip microcomputers；
Characterized in that, the system also includes：
CMOS sensing equipments, are arranged in automobile, in front of steering position, for carrying out IMAQ to steering position scene with defeated
Go out driver area image；
Big data processing platform, is connected by network with CMOS sensing equipments, for receiving driver area image and to driver's compartment
Area image is handled, and big data processing platform includes：
Gray processing processing equipment, is connected by network with CMOS sensing equipments, including the storage of channel parameters extraction unit, weighted value
Unit and gray value computing unit, channel parameters extraction unit are used to receive driver area image, extract driver area image
In each pixel R passages pixel value, G passages pixel value and channel B pixel value, weighted value memory cell be used for deposit in advance
Stored up R channel weightings value, G channel weightings value and channel B weighted value, gray value computing unit respectively with channel parameters extraction unit
Connected with weighted value memory cell, for each pixel in the image of driver area, by R passages pixel value and R channel weightings
The product and channel B pixel value and the product addition of channel B weighted value of the product of value, G passages pixel value and G channel weighting values
To obtain the gray value for the pixel being directed to, and the gray value based on each pixel in the image of driver area obtains driver area
The corresponding gray level image of image；Wherein, R channel weightings value value is that 0.298839, G channel weighting value values are
0.586811, channel B weighted value value is 0.114350；
Histogram distribution detection device, is connected with gray processing processing equipment, for receiving gray level image, and to gray level image
Grey level histogram processing is carried out to obtain corresponding histogram image, when bimodal distribution is presented in histogram image, the overall situation is sent
Threshold value selection signal, otherwise, sends non-global threshold selection signal；
Threshold value selects equipment, is connected with histogram distribution detection device, for when receiving global threshold selection signal, by entirely
Office's threshold value 128 is exported as threshold data, when receiving non-global threshold selection signal, by neighbor pixel gray difference threshold
40 export as threshold data；
Binary conversion treatment equipment, selects equipment and histogram distribution detection device to be connected with threshold value respectively, for receiving entirely
,, will when gray value is more than or equal to threshold data for each pixel in gray level image during office's threshold value selection signal
For pixel be set to white level pixel, when gray value be less than threshold data when, by for pixel be set to it is black
Level pixel point, and the corresponding binary image of output gray level image；Binary conversion treatment equipment be additionally operable to receive it is non-complete
During office's threshold value selection signal, for each pixel in gray level image, vertical direction is calculated upwards apart from its 3 pixels
The gray value of the pixel of point calculates the downward pixel apart from its 3 pixels of vertical direction as upper grey scale pixel value
Gray value is used as a left side as lower grey scale pixel value, gray value of the calculated level direction to the left apart from the pixel of its 3 pixels
Grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel gray value as right grey scale pixel value, when
The absolute value of the difference of upper grey scale pixel value and lower grey scale pixel value is less than or equal to threshold data and left grey scale pixel value and right pixel
The absolute value of the difference of gray value be less than or equal to threshold data when, by for pixel be set to white level pixel, when upper picture
The absolute value of the difference of plain gray value and lower grey scale pixel value be more than threshold data or left grey scale pixel value and right grey scale pixel value it
Difference absolute value be more than threshold data when, by for pixel be set to black level pixel, and output gray level image pair
The binary image answered；
Picture smooth treatment equipment, is connected with binary conversion treatment equipment, for receiving binary image, in binary image
Each pixel, when there is more than half trip point in adjacent all pixels point, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be set to white level pixel, and export binary image correspondence
Smoothed image；
Medium filtering equipment, is connected with image balance processing equipment, for receiving smoothed image, to the pixel of smoothed image
Gray value is analyzed to determine the distribution radius in each noise profile region, the distribution based on each noise profile region half
Maximum in footpath determines to carry out the filtered pixel block size of medium filtering, using the filtered pixel block size of determination to smooth figure
Picture carries out median filter process to obtain filtering image；
Sunlight parameter detection equipment, is connected to obtain filtering image with medium filtering equipment；For each in filtering image
Pixel, its gray value is matched with default sunlight tonal range, when its gray value is in default sunlight tonal range,
Determine that it is sunlight pixel；The region of all sunlight pixels composition in filtering image is split from filtering image
To obtain each sunlight subgraph；And its position in filtering image is determined based on each sunlight subgraph and it is calculated
Occupy the area ratio of filtering image；Export each sunlight subgraph and distinguish corresponding position and respectively corresponding area ratio
Rate；
Solar energy detection device, the current solar energy intensity for detecting in real time；
Power supply unit, including solar powered device, battery, switching switch and electric pressure converter, switching switch respectively with too
Positive energy detection device, solar powered device and battery connection, when the solar energy that the dump energy of battery is not enough and current
When intensity is optionally greater than preset strength threshold value, solar powered device is switched to be powered by solar powered device, and voltage turns
Parallel operation is connected with switching switch, using the 5V voltage conversions by input is switched by switching as 3.3V voltages, wherein solar powered
Device includes solar energy photovoltaic panel；
Wireless charging device, is connected with solar energy detection device and battery respectively, when the dump energy of battery is not enough and works as
When preceding solar energy intensity is less than preset strength, sets up and be connected to start wireless charging operation with neighbouring wireless charging terminal,
Wireless charging device also is connected to realize voltage conversion with electric pressure converter；
Digital compass, is arranged in the front end instrument board of automobile, for detecting in real time and exporting vehicle traveling direction；Electronics refers to
Compass includes two-dimensional magnetic field sensor, for being detected based on magnetic resistance and exporting vehicle traveling direction, and digital compass also includes electricity
Magnetic feedback circuit, the sensitive skew brought for eliminating because of temperature change；
MSP430 single-chip microcomputers, are arranged in the front end instrument board of automobile, are connected with digital compass, are also joined by network and sunlight
Number detection devices connection, distinguishes corresponding position and corresponds to respectively for receiving vehicle traveling direction, each sunlight subgraph
Area ratio, and corresponding position and respectively corresponding area are distinguished based on vehicle traveling direction, each sunlight subgraph
Ratio determines driving control signal；
Multiple air outlets, are set in the different mount points near Driving Position respectively；
Multiple Boiler pressure control equipment, each Boiler pressure control equipment one air outlet of correspondence, the wind for controlling correspondence air outlet
Measure size；
Air-conditioning control equipment, is connected with multiple Boiler pressure control equipment, is also connected with MSP430 single-chip microcomputers, for receiving drive control
Signal, and control is driven to multiple Boiler pressure control equipment based on driving control signal；
Mobile hard disk, for storing default sunlight tonal range；
Mobile hard disk is arranged in the front end instrument board of automobile；
MSP430 single-chip microcomputers are integrated on one piece of surface-mounted integrated circuit with mobile hard disk；
Time division duplex communication interface, is connected with MSP430 single-chip microcomputers, for transmitting wirelessly vehicle traveling direction, each sunlight subgraph
As corresponding position and respectively corresponding area ratio respectively；
Time division duplex communication interface is arranged on body of a motor car.
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| CN201610478313.7A CN106127768B (en) | 2016-06-27 | 2016-06-27 | Big data car steering area image analysis system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610478313.7A CN106127768B (en) | 2016-06-27 | 2016-06-27 | Big data car steering area image analysis system |
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| CN106127768A CN106127768A (en) | 2016-11-16 |
| CN106127768B true CN106127768B (en) | 2017-07-28 |
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| JP2020063940A (en) * | 2018-10-16 | 2020-04-23 | トヨタ自動車株式会社 | Mobile object |
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| KR100645154B1 (en) * | 2005-09-27 | 2006-11-10 | 현대모비스 주식회사 | Method for controling air conditioner of vehicle used photo sensor |
| JP2007091081A (en) * | 2005-09-29 | 2007-04-12 | Clarion Co Ltd | Dazzling prevention system for vehicle |
| US7970172B1 (en) * | 2006-01-24 | 2011-06-28 | James Anthony Hendrickson | Electrically controlled optical shield for eye protection against bright light |
| CN105128634A (en) * | 2015-09-08 | 2015-12-09 | 河南师范大学 | Partitioned gray level adjusting anti-dazzle automobile sun shield |
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2016
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100645154B1 (en) * | 2005-09-27 | 2006-11-10 | 현대모비스 주식회사 | Method for controling air conditioner of vehicle used photo sensor |
| JP2007091081A (en) * | 2005-09-29 | 2007-04-12 | Clarion Co Ltd | Dazzling prevention system for vehicle |
| US7970172B1 (en) * | 2006-01-24 | 2011-06-28 | James Anthony Hendrickson | Electrically controlled optical shield for eye protection against bright light |
| CN105128634A (en) * | 2015-09-08 | 2015-12-09 | 河南师范大学 | Partitioned gray level adjusting anti-dazzle automobile sun shield |
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| CN106127768A (en) | 2016-11-16 |
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