CN106101623A - Big data analysis system - Google Patents
Big data analysis system Download PDFInfo
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- CN106101623A CN106101623A CN201610478164.4A CN201610478164A CN106101623A CN 106101623 A CN106101623 A CN 106101623A CN 201610478164 A CN201610478164 A CN 201610478164A CN 106101623 A CN106101623 A CN 106101623A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
Abstract
The present invention relates to a kind of big data analysis system, including projection room content acquisition equipment, Content analysis apparatus and sub-screen analytical equipment, sub-screen analytical equipment is for the picture material analyzed in projection room on the mobile terminal of spectators, projection room content acquisition equipment is for analyzing the picture material on projection room screen, Content analysis apparatus is connected with projection room content acquisition equipment and sub-screen analytical equipment respectively, carries out the analysis of picture material for output based on projection room content acquisition equipment and sub-screen analytical equipment.By means of the invention it is possible to exactly the various screens in projection room are carried out analysis of image content.
Description
Technical field
The present invention relates to big data fields, particularly relate to a kind of big data analysis system.
Background technology
There is the drawback of inherence in the artificial anti-mode taken on the sly: first, if auditorium area is relatively big, then needs to arrange for a lot
Staff carries out field monitor, it means that need substantial amounts of cost of labor；Secondly, the mode of staff's naked eyes scanning is imitated
Rate is low, and the mode of direct surveillance is susceptible to let slip the person of taking on the sly of some corner location because of asthenia；Finally, seeing
The mode arranging staff near crowd brings discomfort to the spectators of normal viewing performance, have impact on them and appreciates the heart of performance
Feelings.
As can be seen here, the artificial anti-mode taken on the sly has inborn deficiency, in order to overcome above-mentioned drawback, reduces anti-taking on the sly
Operation cost, improves the anti-work efficiency taken on the sly, and operator always searches for the mode that electronics prevents taking on the sly and carries out on-site supervision, electricity
The anti-two kinds of developing direction of having taken on the sly of son, a kind of is to make an issue of on the mobile terminal that spectators are hand-held, when mobile terminal shoots certainly
Dynamic detection is taken on the sly behavior, but this mode is probably due to the selection of mobile terminal is avoided by the person of taking on the sly, another kind be
The scene of taking on the sly disposes electronic jamming device, and this mode can avoid evading of the person of taking on the sly.
The existing anti-electronic jamming device taken on the sly is that a kind of infrared facility is placed in the back side of curtain or stage,
Infrared facility sends the sightless infrared ray of human eye, if the person of taking on the sly is moving terminal or video camera shooting, the most infrared
Line by the video camera imaging of the interference person of taking on the sly, causes image or lower picture quality that the person of taking on the sly obtains, it is impossible to commercially sell
Sell and propagate on network, thus effectively safeguarding copyright interest.
But, this mode needs to launch infrared ray always, and ultrared transmitting is large-scale, needs from each
Infrared ray, relatively costly and poor feasibility are all launched in position.Therefore on-the-spot electronics prevents that the equipment of taking on the sly also needs to find other
Break through direction.
To this end, the present invention proposes the electronic equipment prevented taking on the sly in a kind of new scene, it is possible to by audience seat
The behavioral value of spectators and by the parameter extraction of site environment being determined whether there is the person of taking on the sly in audience seat, and
In time the position at the person of taking on the sly place can be positioned, in order to take to orient warning measure accordingly.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of big data analysis system, auditorium image is set at the scene
Collecting device completes the extraction to auditorium image, introduces various image processing equipment and image analysis equipment judges auditorium figure
Whether there is the suspicious person of taking on the sly in Xiang, in the case of there is the suspicious person of taking on the sly, extract the suspicious person of taking on the sly and be present
The numbering of position, detects ambient parameter or current performance content, with according to the suspicious person of taking on the sly the most at the scene in real time
Information and Site Detection result determine the person that really do not takes on the sly, it is even more important that establish a set of can be according to the person of taking on the sly position
It is oriented the mechanism of prompting.
According to an aspect of the present invention, it is provided that a kind of big data analysis system, described system includes that projection room content is adopted
Collection equipment, Content analysis apparatus and sub-screen analytical equipment, sub-screen analytical equipment is the movement of spectators in analyzing projection room
Picture material in terminal, projection room content acquisition equipment is for analyzing the picture material on projection room screen, and content analysis sets
Back-up is not connected with projection room content acquisition equipment and sub-screen analytical equipment, for based on projection room content acquisition equipment and son
The output of screen analytical equipment carries out the analysis of picture material.
More specifically, in described big data analysis system, including: projection room content acquisition equipment, it is arranged on projection room
Screen opposite, the scene image on Real-time Collection projection room screen is to export as real-time scene image；Content analysis sets
Standby, the Background control being arranged on projection room is indoor, is connected with sub-screen analytical equipment, also with projection room content acquisition equipment even
Connect, for receiving the seat numbering of each screen subimage and its correspondence, be additionally operable to receive real-time scene image, by each
Screen subimage and real-time scene image carry out content matching to determine content matching percentage ratio, when content matching percentage ratio is more than
During equal to preset percentage threshold value, using seat numbering corresponding for screen subimage as targeted seat numbering output；Wherein, content
It is concrete to determine content matching percentage ratio that each screen subimage and real-time scene image are carried out content matching by analytical equipment
Including: each pixel in real-time scene image is carried out pixel value with each pixel of each screen subimage and mates, as
The quantity of the element value pixel that the match is successful is the most, and the content matching percentage ratio that screen subimage is corresponding is the highest；Wherein, pixel value
The relation of the quantity and content matching percentage ratio of joining successful pixel is non-linear dependence；Freescale IMX6 processing equipment, if
Put the Background control at projection room indoor, be connected with Content analysis apparatus, include target for sending based on targeted seat numbering
The drive control signal of seat numbering；Motor driving apparatus, the Background control being arranged on projection room is indoor, respectively with Freescale
IMX6 processing equipment and motor device connect, for receiving the drive control signal that Freescale IMX6 processing equipment is sent, and
Resolve drive control signal to determine that targeted seat is numbered, calculate target level angle and mesh based on targeted seat numbering
Mark luffing angle；Motor device, is arranged on the position, roof directly over projection room screen, respectively with motor driving apparatus and infrared
Laser pen connects, and including horizontal drive motor and vertical driving motor, horizontal drive motor is for by the level of iraser pen
Angle adjustment is to target level angle, and vertical driving motor is for being adjusted to target pitch angle by the luffing angle of iraser pen
Degree；Wherein, motor device sends laser opening signal after horizontal drive motor and vertical driving motor all adjust；Infrared
Laser pen, is arranged on the position, roof directly over projection room screen, respectively with Freescale IMX6 processing equipment and motor device
Connecting, including battery, Laser emission switch and generating laser, battery provides electric power for the Laser emission for iraser pen
Supply, Laser emission switch is switched to open mode after receiving drive control signal and when receiving laser opening signal,
Generating laser includes pump diode, and in the case of opening at Laser emission switch, a length of 671 nanometers of transmitted wave swashs
Optical signal；High-definition camera, is arranged on middle position, projection room roof, for the auditorium on projection room screen opposite is carried out figure
As gathering to export high-definition image；Big data service platform, is connected with high-definition camera by network, is used for receiving high-definition image
And high-definition image is processed, big data service platform includes: gray processing processing equipment, including channel parameters extraction unit,
Weighted value memory element and gray value computing unit, channel parameters extraction unit is connected with high-definition camera network, is used for receiving
High-definition image to extract the R passage pixel value of each pixel in high-definition image, G passage pixel value and channel B pixel value,
Weighted value memory element is used for having prestored R channel weighting value, G channel weighting value and channel B weighted value, and gray value calculates single
Unit is connected with channel parameters extraction unit and weighted value memory element respectively, for each pixel in high-definition image, is led to by R
Road pixel value and the product of R channel weighting value, the product of G passage pixel value and G channel weighting value and channel B pixel value and B
The product addition of channel weighting value with obtain for the gray value of pixel, and based on the ash of each pixel in high-definition image
Angle value obtains the gray level image that high-definition image is corresponding；Wherein, R channel weighting value value is 0.298839, and G channel weighting value takes
Value is 0.586811, and channel B weighted value value is 0.114350；Histogram distribution detection equipment, with gray processing processing equipment even
Connect, be used for receiving gray level image, and gray level image is carried out the grey level histogram process histogram image with acquisition correspondence,
When histogram image presents bimodal distribution, send global threshold and select signal, otherwise, send non-global threshold and select signal；
Threshold value selects equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by overall situation threshold
Value 128 exports as threshold data, when receiving non-global threshold and selecting signal, neighbor pixel gray difference threshold 40 is made
Export for threshold data；Binary conversion treatment equipment, selects with threshold value equipment and histogram distribution detection equipment to be connected respectively, is used for
When receiving global threshold and selecting signal, for each pixel in gray level image, when gray value is more than or equal to threshold
During Value Data, by for pixel be set to white level pixel, when gray value less than threshold data time, by for pixel
Point is set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment is additionally operable to
Receive non-global threshold when selecting signal, for each pixel in gray level image, calculate vertical direction upwards away from
From the gray value of pixel of its 3 pixels as upper grey scale pixel value, calculate vertical direction downwards apart from its 3 pixels
The gray value of pixel as lower grey scale pixel value, calculated level direction is to the left apart from the ash of pixel of its 3 pixels
Angle value as left grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels as right picture
Element gray 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 threshold data and left pixel grey scale
Value and right grey scale pixel value difference absolute value less than or equal to threshold data time, by for pixel be set to white level pixel
Point, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left grey scale pixel value and right pixel
The absolute value of the difference of gray value more than threshold data time, by for pixel be set to black level pixel, and output gray level
Change the binary image that image is corresponding；Picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving binary picture
Picture, for each pixel in binary image, when adjacent all pixels exist the trip point of more than half,
Then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel, and
The smoothed image that output binary image is corresponding；Self adaptation recursive filtering equipment, is connected with image balance processing equipment, is used for connecing
Receive smoothed image, smoothed image is performed self adaptation recursive filtering and processes to obtain filtering image；Sub-screen analytical equipment, is arranged
Indoor at the Background control of projection room, it is connected to obtain filtering image with self adaptation recursive filtering equipment by network, will filtering
Image carry out with the screen pattern of the various mobile terminals prestored mating with detection and be partitioned in filtering image each
Screen subimage, for each screen subimage, for its position in filtering image determine for screen subimage
Corresponding seat numbering；Wherein, for seat corresponding to screen subimage numbered hold for screen subimage corresponding
Mobile terminal spectators place projection room seat numbering；Wherein, iraser pen also includes receiver of remote-control sytem, is used for receiving
The laser that far-end is sent opens remote signal and laser shutdown remote signal.
More specifically, in described big data analysis system, also include: FLASH storage device, it is used for storing default percentage
Than threshold value and the screen pattern of various mobile terminal.
More specifically, in described big data analysis system, also include: user input device, with FLASH storage device even
Connect, for operation based on user, input preset percentage threshold value.
More specifically, in described big data analysis system, also include: user input device is touch screen or keyboard battle array
Row.
More specifically, in described big data analysis system, also include: the network that big data service platform connects is mobile
Communication network.
More specifically, in described big data analysis system, also include: mobile communications network is time division duplex communication network
Or frequency duplex communications network.
More specifically, in described big data analysis system, also include: LED display device, with Freescale IMX6 process
Equipment connects, and is used for showing that targeted seat is numbered.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram according to the big data analysis system shown in embodiment of the present invention.
Reference: 1 projection room content acquisition equipment；2 Content analysis apparatus；3 sub-screen analytical equipments
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the big data analysis system of the present invention is described in detail.
In order to detect the digital multimedia video of uncommitted illegal propagation, digital watermark by universal research and should
With extensively.In Making Movies or film ejection stage, can take to implant in film to make human eye can't see " pattern " information
Method.If these films are taken on the sly record by video camera, this collection of illustrative plates embedded can be extracted and identify piracy
Source.
Some industry leaders are in order to identify and tracing pirate film, it is proposed that by the method for Coded Anti-Piracy (CAP),
I.e. in film, increase watermark.First Coded Anti-Piracy is designed by Kodak, Deluxe Laboratories pair subsequently
It improves.Philips it is also proposed a mark system being named as CineFence in 2006.But, digital watermark is only
Being a kind of passive measure, he can not eliminate and stop shooting to take on the sly.On the other hand, camera perturbation technique is intended to by serious broken
Bad film visual quality eliminates shooting and takes on the sly, to make these interference signals not interfere with the spectators of movie theatre simultaneously.
The most substantial amounts of camera interference method mainly make use of imaging sensor to respond ultrared principle.In order to disturb shifting
Moving video camera and generate light in the picture of shooting, infrared emitter is installed in cinema.Except those emitters
Etc. extra cost price and regular job expense, this scheme can be by enclosing suitable filter on camera lens.But it is this
Mode is easy to be avoided because of the selection of the person of taking on the sly.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data analysis system, and auditorium image is carried out electronics
Analyze, scene performance environment is carried out electronic analysis, and carries out the person's of taking on the sly judgement based on two kinds of analysis results, it addition, be additionally based upon
The person of taking on the sly is reminded by the positional information of the person of taking on the sly, thus realizes oriented detection and the orientation warning of the on-the-spot person of taking on the sly of performance.
Fig. 1 is the block diagram according to the big data analysis system shown in embodiment of the present invention, and described system includes
Projection room content acquisition equipment, Content analysis apparatus and sub-screen analytical equipment, sub-screen analytical equipment is used for analyzing projection room
Picture material on the mobile terminal of interior spectators, projection room content acquisition equipment is for analyzing in the image on projection room screen
Holding, Content analysis apparatus is connected with projection room content acquisition equipment and sub-screen analytical equipment respectively, for based in projection room
The output holding collecting device and sub-screen analytical equipment carries out the analysis of picture material.
Then, continue the concrete structure of the big data analysis system of the present invention is further detailed.
Described system includes: projection room content acquisition equipment, is arranged on projection room screen opposite, shows for Real-time Collection
Scene image on the screen of room is to export as real-time scene image.
Described system includes: Content analysis apparatus, and the Background control being arranged on projection room is indoor, with sub-screen analytical equipment
Connect, be also connected with projection room content acquisition equipment, for receiving the seat numbering of each screen subimage and its correspondence, also
For receiving real-time scene image, each screen subimage and real-time scene image are carried out content matching to determine content
Component percentage, when content matching percentage ratio is more than or equal to preset percentage threshold value, by seat numbering corresponding for screen subimage
As targeted seat numbering output；Wherein, in each screen subimage and real-time scene image are carried out by Content analysis apparatus
Hold coupling to determine that content matching percentage ratio specifically includes: by each pixel in real-time scene image and each screen subgraph
Each pixel of picture carries out pixel value coupling, and the quantity of the pixel value pixel that the match is successful is the most, corresponding interior of screen subimage
Hold match-percentage the highest；Wherein, the quantity of the pixel value pixel that the match is successful and the relation of content matching percentage ratio are non-thread
Shape relation.
Described system includes: Freescale IMX6 processing equipment, and the Background control being arranged on projection room is indoor, divides with content
Desorption device connects, for sending, based on targeted seat numbering, the drive control signal including that targeted seat is numbered；Motor drives and sets
Standby, the Background control being arranged on projection room is indoor, is connected with Freescale IMX6 processing equipment and motor device respectively, is used for connecing
Receive the drive control signal that Freescale IMX6 processing equipment is sent, and resolve drive control signal to determine target seat
Bit number, calculates target level angle and target pitch angle based on targeted seat numbering.
Described system includes: motor device, is arranged on the position, roof directly over projection room screen, drives with motor respectively
Equipment and iraser pen connect, and including horizontal drive motor and vertical driving motor, horizontal drive motor is for swashing infrared
The level angle of light pen is adjusted to target level angle, and vertical driving motor is for being adjusted to the luffing angle of iraser pen
Target pitch angle；Wherein, motor device sends laser after horizontal drive motor and vertical driving motor all adjust and beats
ON signal.
Described system includes: iraser pen, is arranged on the position, roof directly over projection room screen, respectively with fly to think card
That IMX6 processing equipment and motor device connect, and including battery, Laser emission switch and generating laser, battery is for for infrared
The Laser emission of laser pen provides supply of electric power, and Laser emission switchs after receiving drive control signal and receives laser and beats
Being switched to open mode during ON signal, generating laser includes pump diode, for switching situation about opening in Laser emission
The laser signal of a length of 671 nanometers of lower transmitted wave；High-definition camera, is arranged on middle position, projection room roof, for projection
The auditorium on screen opposite, room carries out image acquisition to export high-definition image.
Described system includes: big data service platform, is connected with high-definition camera by network, is used for receiving high-definition image
And high-definition image is processed.
Big data service platform includes: gray processing processing equipment, including channel parameters extraction unit, weighted value memory element
With gray value computing unit, channel parameters extraction unit is connected with high-definition camera network, is used for receiving high-definition image to extract
Go out the R passage pixel value of each pixel in high-definition image, G passage pixel value and channel B pixel value, weighted value memory element
For having prestored R channel weighting value, G channel weighting value and channel B weighted value, gray value computing unit is joined with passage respectively
Number extraction unit and weighted value memory element connect, and for each pixel in high-definition image, are led to R by R passage pixel value
The product of the product of higher, G passage pixel value and G channel weighting value and channel B pixel value are taken advantage of with channel B weighted value
Long-pending be added with obtain for the gray value of pixel, and obtain high definition figure based on the gray value of each pixel in high-definition image
As corresponding gray level image；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is 0.586811, B
Channel weighting value value is 0.114350.
Big data service platform includes: histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving ash
Degreeization image, and gray level image is carried out the grey level histogram process histogram image with acquisition correspondence, at histogram image
When presenting bimodal distribution, send global threshold and select signal, otherwise, send non-global threshold and select signal.
Big data service platform includes: threshold value selects equipment, is connected, for receiving with histogram distribution detection equipment
When global threshold selects signal, global threshold 128 is exported as threshold data, select signal receiving non-global threshold
Time, neighbor pixel gray difference threshold 40 is exported as threshold data.
Big data service platform includes: binary conversion treatment equipment, selects equipment and histogram distribution detection respectively with threshold value
Equipment connects, for when receiving global threshold and selecting signal, for each pixel in gray level image, working as gray scale
Value more than or equal to threshold data time, by for pixel be set to white level pixel, when gray value less than threshold data time,
By for pixel be set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment
Equipment is additionally operable to, when receiving non-global threshold and selecting signal, for each pixel in gray level image, calculate and hang down
Nogata to upwards apart from the gray value of pixel of its 3 pixels as upper grey scale pixel value, calculate vertical direction downwards away from
From the gray value of pixel of its 3 pixels as lower grey scale pixel value, calculated level direction is to the left apart from its 3 pixels
The gray value of pixel as left grey scale pixel value, calculated level direction is to the right apart from the ash of pixel of its 3 pixels
Angle value 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 threshold data
And the absolute value of the difference of left grey scale pixel value and right grey scale pixel value less than or equal to threshold data time, by for pixel arrange
For white level pixel, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left pixel ash
The absolute value of the difference of angle value and right grey scale pixel value more than threshold data time, by for pixel be set to black level pixel
Point, and the binary image that output gray level image is corresponding.
Big data service platform includes: picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving two-value
Change image, for each pixel in binary image, when adjacent all pixels exist more than half saltus step
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 smoothed image that binary image is corresponding.
Big data service platform includes: self adaptation recursive filtering equipment, is connected with image balance processing equipment, is used for receiving
Smoothed image, performs self adaptation recursive filtering to smoothed image and processes to obtain filtering image.
Described system includes: sub-screen analytical equipment, and the Background control being arranged on projection room is indoor, by network with adaptive
Recursive filtering equipment is answered to connect to obtain filtering image, by the screen pattern of filtering image with the various mobile terminals prestored
Carry out mating each screen subimage to detect and be partitioned in filtering image, for each screen subimage, for it
Position in filtering image determine for screen subimage corresponding seat numbering；Wherein, for screen subimage pair
The seat answered is numbered hold for the projection room seat numbering at spectators place of mobile terminal corresponding to screen subimage.
Wherein, iraser pen also includes receiver of remote-control sytem, for receive the laser that far-end sends open remote signal and
Laser shutdown remote signal.
Alternatively, in described platform: FLASH storage device, it is used for storing preset percentage threshold value and various movement is whole
The screen pattern of end；User input device, is connected with FLASH storage device, and for operation based on user, percentage is preset in input
Compare threshold value；User input device is touch screen or keyboard array；The network that big data service platform connects is mobile communications network；
Mobile communications network is time division duplex communication network or frequency duplex communications network；Mobile communications network is time division duplex communication net
Network or frequency duplex communications network.
It addition, 4G LTE is the standard of a global general-use, including two kinds of network schemer FDD and TDD, it is respectively used in pairs
Frequency spectrum and non-paired frequency spectrum.Operator's initially accepting or rejecting purely for the consideration to spectrum availability between two patterns.Greatly
Multi-operator will dispose two kinds of networks simultaneously, in order to makes full use of its all frequency spectrum resources having.FDD and TDD is in technology
Upper difference is the least, and the main distinction is that and uses different duplex modes, FDD (FDD) and time division duplex (TDD)
It is two kinds of different duplex modes.
FDD be separate two symmetrical frequency channels on be received and transmitted, with protection frequency range separate reception and
Send channel.FDD must use paired frequency, relies on frequency to carry out differentiating uplink and downlink link, and its unidirectional resource is in the time
On be continuous print.FDD, when supporting symmetrical service, can make full use of the frequency spectrum of up-downgoing, but when supporting non-symmetrical service, frequently
Spectrum utilization rate will be substantially reduced.
TDD separates reception with the time and sends channel.In the mobile communication system of TDD mode, receive and transmission makes
With the different time-gap of same frequency carrier as the carrying of channel, its unidirectional resource is discontinuous in time, the time
Resource is distributed in the two directions.Certain time period is sent a signal to mobile station by base station, and the other time is by moving
Platform sends a signal to base station, must harmonious ability work well between base station and mobile station.
Use the big data analysis system of the present invention, cannot be for the effective electronics of offer of taking on the sly of performance for prior art
The technical problem of detection, by using targetedly, high-precision a series of images processing equipment and image analysis equipment pair
The audience status of auditorium is analyzed, and is analyzed also by the environment on-the-spot to performance, on the basis of above-mentioned analysis, right
In auditorium, the behavior of pirates shoot person accurately detects and location recognition, finally takes aposematic mechanism that the person of taking on the sly is carried out electronics and carries
Wake up, thus safeguard the economic interests of legal operator.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-described embodiment being not used to
Limit the present invention.For any those of ordinary skill in the art, without departing under technical solution of the present invention ambit,
Technical solution of the present invention is made many possible variations and modification by the technology contents that all may utilize the disclosure above, or is revised as
Equivalent embodiments with change.Therefore, every content without departing from technical solution of the present invention, according to the technical spirit pair of the present invention
Any simple modification made for any of the above embodiments, equivalent variations and modification, all still fall within the scope of technical solution of the present invention protection
In.
Claims (8)
1. a big data analysis system, described system includes projection room content acquisition equipment, Content analysis apparatus and sub-screen
Analytical equipment, sub-screen analytical equipment is for the picture material analyzed in projection room on the mobile terminal of spectators, projection room content
Collecting device for analyzing the picture material on projection room screen, Content analysis apparatus respectively with projection room content acquisition equipment and
Sub-screen analytical equipment connects, and carries out in image for output based on projection room content acquisition equipment and sub-screen analytical equipment
The analysis held.
2. big data analysis system as claimed in claim 1, it is characterised in that described system includes:
Projection room content acquisition equipment, is arranged on projection room screen opposite, the scene graph on Real-time Collection projection room screen
As to export as real-time scene image；
Content analysis apparatus, the Background control being arranged on projection room is indoor, is connected with sub-screen analytical equipment, also with in projection room
Hold collecting device to connect, for receiving the seat numbering of each screen subimage and its correspondence, be additionally operable to receive real-time scene
Image, carries out each screen subimage and real-time scene image content matching to determine content matching percentage ratio, works as content
When match-percentage is more than or equal to preset percentage threshold value, seat numbering corresponding for screen subimage is numbered as targeted seat
Output；Wherein, each screen subimage and real-time scene image are carried out content matching to determine content by Content analysis apparatus
Match-percentage specifically includes: each pixel of each pixel in real-time scene image with each screen subimage carried out
Pixel value mates, and the quantity of the pixel value pixel that the match is successful is the most, and the content matching percentage ratio that screen subimage is corresponding is the highest；
Wherein, the quantity of the pixel value pixel that the match is successful and the relation of content matching percentage ratio are non-linear dependence；
Freescale IMX6 processing equipment, the Background control being arranged on projection room is indoor, is connected with Content analysis apparatus, for base
The drive control signal including that targeted seat is numbered is sent in targeted seat numbering；
Motor driving apparatus, the Background control being arranged on projection room is indoor, respectively with Freescale IMX6 processing equipment and motor
Equipment connects, and for receiving the drive control signal that Freescale IMX6 processing equipment is sent, and carries out drive control signal
Resolve to determine that targeted seat is numbered, calculate target level angle and target pitch angle based on targeted seat numbering；
Motor device, is arranged on the position, roof directly over projection room screen, respectively with motor driving apparatus and iraser pen
Connecting, including horizontal drive motor and vertical driving motor, horizontal drive motor is for adjusting the level angle of iraser pen
Whole to target level angle, vertical driving motor is for being adjusted to target pitch angle by the luffing angle of iraser pen；Its
In, motor device sends laser opening signal after horizontal drive motor and vertical driving motor all adjust；
Iraser pen, is arranged on the position, roof directly over projection room screen, respectively with Freescale IMX6 processing equipment and
Motor device connects, and including battery, Laser emission switch and generating laser, battery is for the Laser emission for iraser pen
Supply of electric power, Laser emission switch is provided to be switched to after receiving drive control signal and when receiving laser opening signal beat
Open state, generating laser includes pump diode, and in the case of opening at Laser emission switch, transmitted wave a length of 671 is received
The laser signal of rice；
High-definition camera, is arranged on middle position, projection room roof, for the auditorium on projection room screen opposite is carried out image
Gather to export high-definition image；
Big data service platform, is connected with high-definition camera by network, is used for receiving high-definition image and carrying out high-definition image
Processing, big data service platform includes:
Gray processing processing equipment, including channel parameters extraction unit, weighted value memory element and gray value computing unit, passage is joined
Number extraction unit is connected with high-definition camera network, is used for receiving high-definition image to extract each pixel in high-definition image
R passage pixel value, G passage pixel value and channel B pixel value, weighted value memory element is used for having prestored R channel weighting
Value, G channel weighting value and channel B weighted value, gray value computing unit stores with channel parameters extraction unit and weighted value respectively
Unit connects, for each pixel in high-definition image, by R passage pixel value and the product of R channel weighting value, G passage picture
The product addition of element value and the product of G channel weighting value and channel B pixel value and channel B weighted value with obtain for pixel
The gray value of point, and obtain, based on the gray value of each pixel in high-definition image, the gray level image that high-definition image is corresponding；Its
In, R channel weighting value value is 0.298839, and G channel weighting value value is 0.586811, and channel B weighted value value is
0.114350；
Histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving gray level image, and to gray level image
Carry out grey level histogram to process to obtain corresponding histogram image, when histogram image presents bimodal distribution, send the overall situation
Threshold value selects signal, otherwise, sends non-global threshold and selects signal；
Threshold value selects equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by complete
Office's threshold value 128 exports as threshold data, when receiving non-global threshold and selecting signal, by neighbor pixel gray difference threshold
40 export as threshold data；
Binary conversion treatment equipment, selects equipment and histogram distribution detection equipment to be connected, for receiving entirely respectively with threshold value
When office's threshold value selects signal, for each pixel in gray level image, when gray value is more than or equal to threshold data, will
For pixel be set to white level pixel, when gray value less than threshold data time, by for pixel be set to black
Level pixel point, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment be additionally operable to receive non-entirely
When office's threshold value selects signal, for each pixel in gray level image, calculate vertical direction upwards apart from its 3 pixels
The gray value of the pixel of point as upper grey scale pixel value, calculates vertical direction downwards apart from the pixel of its 3 pixels
Gray value as lower grey scale pixel value, calculated level direction to the left apart from the gray value of pixel of its 3 pixels as a left side
Grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels 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 less than or equal to threshold data time, by for pixel be set to white level pixel, when upper picture
The absolute value of the difference of element gray value and lower grey scale pixel value more than threshold data or left grey scale pixel value and right grey scale pixel value it
Difference absolute value more than threshold data time, 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, is used for receiving binary image, in binary image
Each pixel, when adjacent all pixels exist the trip point of more than half, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be set to white level pixel, and it is corresponding to export binary image
Smoothed image；
Self adaptation recursive filtering equipment, is connected with image balance processing equipment, is used for receiving smoothed image, performs smoothed image
Self adaptation recursive filtering processes to obtain filtering image；
Sub-screen analytical equipment, the Background control being arranged on projection room is indoor, by network with self adaptation recursive filtering equipment even
Connect to obtain filtering image, carry out the screen pattern of filtering image with the various mobile terminals prestored mating with detection also
Each screen subimage being partitioned in filtering image, for each screen subimage, for its position in filtering image
Put determine for screen subimage corresponding seat numbering；Wherein, for seat corresponding to screen subimage numbered hold
Have for the projection room seat numbering at spectators place of mobile terminal corresponding to screen subimage；
Wherein, iraser pen also includes receiver of remote-control sytem, and the laser sent for receiving far-end opens remote signal and laser
Close remote signal.
3. big data analysis system as claimed in claim 2, it is characterised in that described system also includes:
FLASH storage device, for storing preset percentage threshold value and the screen pattern of various mobile terminal.
4. big data analysis system as claimed in claim 3, it is characterised in that described system also includes:
User input device, is connected with FLASH storage device, for operation based on user, inputs preset percentage threshold value.
5. big data analysis system as claimed in claim 4, it is characterised in that:
User input device is touch screen or keyboard array.
6. big data analysis system as claimed in claim 2, it is characterised in that:
The network that big data service platform connects is mobile communications network.
7. big data analysis system as claimed in claim 6, it is characterised in that:
Mobile communications network is time division duplex communication network or frequency duplex communications network.
8. the big data analysis system as described in claim 2-7 is arbitrary, it is characterised in that described system also includes:
LED display device, is connected with Freescale IMX6 processing equipment, is used for showing that targeted seat is numbered.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610478164.4A CN106101623A (en) | 2016-06-27 | 2016-06-27 | Big data analysis system |
| CN201610776232.5A CN107547849A (en) | 2016-06-27 | 2016-06-27 | big data analysis system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610478164.4A CN106101623A (en) | 2016-06-27 | 2016-06-27 | Big data analysis system |
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| CN201610776232.5A Division CN107547849A (en) | 2016-06-27 | 2016-06-27 | big data analysis system |
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| Publication Number | Publication Date |
|---|---|
| CN106101623A true CN106101623A (en) | 2016-11-09 |
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ID=57253041
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|---|---|---|---|
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| CN201610478164.4A Withdrawn CN106101623A (en) | 2016-06-27 | 2016-06-27 | Big data analysis system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111079096A (en) * | 2019-12-30 | 2020-04-28 | 李文红 | Copyright protection method and device for performance place and computer readable storage medium |
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2016
- 2016-06-27 CN CN201610776232.5A patent/CN107547849A/en active Pending
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111079096A (en) * | 2019-12-30 | 2020-04-28 | 李文红 | Copyright protection method and device for performance place and computer readable storage medium |
| CN111079096B (en) * | 2019-12-30 | 2023-07-07 | 李文红 | Performance place copyright protection method and device and computer readable storage medium |
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Application publication date: 20161109 |