CN107547852A - A kind of big data storage system - Google Patents
A kind of big data storage system Download PDFInfo
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- CN107547852A CN107547852A CN201610778304.XA CN201610778304A CN107547852A CN 107547852 A CN107547852 A CN 107547852A CN 201610778304 A CN201610778304 A CN 201610778304A CN 107547852 A CN107547852 A CN 107547852A
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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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
The present invention relates to a kind of big data storage system, including big data storage device, picture pick-up device, image-preprocessing device and human face data extraction equipment, image-preprocessing device is located in big data application platform, the image of picture pick-up device shooting is pre-processed, and pretreated image is sent to human face data extraction equipment to carry out the extraction of the data of spectators' face in projection room, wherein, the data of spectators' face detect for projection room pirates shoot in projection room.By means of the invention it is possible to pirates shoot behavior is accurately detected, so as to effectively avoid projection room economic interests from suffering damage.
Description
The present invention be Application No. 2016104781358, the applying date be on June 27th, 2016, it is entitled " a kind of big
The divisional application of the patent of data-storage system ".
Technical field
The present invention relates to big data field of storage, more particularly to a kind of big data storage system.
Background technology
Early stage, substantial amounts of camera interference method mainly make use of the principle of imaging sensor response infrared ray.Moved to disturb
Move video camera and light is generated in the picture of shooting, infrared emitter is mounted in the cinema.Except those transmitters
Etc. extra cost and regular job expense, this scheme can be by enclosing appropriate filter on camera lens.It is but this
Mode is easy to be avoided because of the selection of the person of taking on the sly.
Therefore, it is necessary to which a kind of new live anti-pirates shoot technical scheme, carries out electronic analysis to auditorium image, scene is drilled
Go out environment and carry out electronic analysis, and carry out the person of taking on the sly based on two kinds of analysis results and judge, in addition, the position letter also based on the person of taking on the sly
Breath is reminded the person of taking on the sly, so as to realize that the oriented detection of the live person of taking on the sly of performance and orientation alert.
The content of the invention
In order to solve the above problems, the invention provides a kind of big data storage system, sets auditorium image at the scene
Collecting device completes the extraction to auditorium image, introduces various image processing equipments and image analysis equipment judges auditorium figure
It whether there is the suspicious person of taking on the sly as in, in the case where the suspicious person of taking on the sly being present, extracting the suspicious person of taking on the sly and being present
The numbering of position, then also ambient parameter or current performance content are detected in real time at the scene, with according to the suspicious person of taking on the sly
Information and Site Detection result determine really the person of taking on the sly, it is even more important that establish it is a set of can be according to the person of taking on the sly position
The mechanism of prompting is oriented, so as to completely automatically realize electronic type detection and warning to the person of taking on the sly.
According to an aspect of the present invention, there is provided a kind of big data storage system, the system are set including big data storage
Standby, picture pick-up device, image-preprocessing device and human face data extraction equipment, image-preprocessing device are located at big data application platform
On, to picture pick-up device shooting image pre-process, and by pretreated image be sent to human face data extraction equipment with
The data extraction of spectators' face in projection room is carried out, wherein, the data of spectators' face detect for projection room pirates shoot in projection room.
More specifically, in a kind of big data storage system, including：Big data storage device, with Freescale
MC9S12 chips connect, for storing default face upper limit gray value and default face lower limit gray value；Timer, it is arranged on and puts
Reflect in the Background control room of room, for providing timing signal；Ambient brightness sensing equipment, it is arranged on projection room roof center position
Put, for sensing the real-time luminosity of projection chamber interior environment to be exported as real time environment brightness；Face brightness detection device, if
Put in the Background control room of projection room, connected with human face data extraction equipment with everyone face image of reception and its is corresponding
Seat numbering, the gray value for each pixel based on everyone face image calculates the figure of everyone face image
Image brightness as real-time face brightness to export；Brightness deviates from detection device, is arranged in the Background control room of projection room, respectively
It is connected with timer, ambient brightness detection device and face brightness detection device, for receiving real time environment brightness and reception
The real-time face brightness of everyone face image, for everyone face image, when its real-time face brightness and real-time ring
When the time that border brightness deviates from reaches predetermined time period threshold value, using seat numbering corresponding to face subgraph as targeted seat
Numbering output；Freescale MC9S12 chips, are arranged in the Background control room of projection room, connect with brightness away from detection device
Connect, the driving control signal of targeted seat numbering is included for being sent based on targeted seat numbering；Remote control equipment, it is arranged on projection
Roof position directly over the curtain of room, sent out for being connected with Freescale MC9S12 chips with receiving Freescale MC9S12 chips
The driving control signal come, and driving control signal is parsed to determine that targeted seat is numbered, numbered based on targeted seat
Determine remote signal；Seat warning lamp, one is set on each spectators seat, for receiving remote signal to believe based on remote control
Number carry out feux rouges warning；Picture pick-up device, projection room roof middle position is arranged on, for the auditorium to projection room curtain opposite
IMAQ is carried out to export auditorium image；Big data application platform, it is connected with picture pick-up device by network, is seen for receiving
Many seat images are simultaneously handled auditorium image, and big data application platform includes：Gray processing processing equipment, including channel parameters
Extraction unit, weighted value memory cell and gray value computing unit, channel parameters extraction unit is connected with picture pick-up device, for connecing
Auditorium image is received to extract R passages pixel value, G passages pixel value and the channel B of each pixel in auditorium image
Pixel value, weighted value memory cell are used to prestore R channel weightings value, G channel weightings value and channel B weighted value, gray scale
Value computing unit is connected with channel parameters extraction unit and weighted value memory cell respectively, for each picture in auditorium image
Vegetarian refreshments, by the product of R passages pixel value and R channel weighting values, G passages pixel value and the product and channel B of G channel weighting values
The gray value for the pixel that pixel value and the product addition of channel B weighted value are directed to obtaining, and based on each in auditorium image
The gray value of individual pixel obtains gray level image corresponding to auditorium 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
Histogram image corresponding to acquisition, 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, exported global threshold 128 as threshold data, when receiving non-global threshold selection signal, by phase
Adjacent pixel gray level difference threshold value 40 exports as threshold data；Binary conversion treatment equipment, select equipment and Nogata with threshold value respectively
Figure distribution detection device connects, for when receiving global threshold selection signal, for each picture in gray level image
Vegetarian refreshments, when gray value is more than or equal to threshold data, by for pixel be arranged to white level pixel, when gray value is less than
During threshold data, by for pixel be arranged to black level pixel, and binary image corresponding to 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, calculate vertical direction upwards apart from its 3 pixels pixel gray value as upper grey scale pixel value, calculate 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
Threshold data and when the absolute value of the difference of left grey scale pixel value and right grey scale pixel value is less than or equal to threshold data, by for picture
Vegetarian refreshments is arranged 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
When the absolute value of the difference of left grey scale pixel value and right grey scale pixel value is more than threshold data, by for pixel be arranged to black appliances
Flat pixel, and binary image corresponding to output gray level image；Picture smooth treatment equipment, connect 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 smoothed image corresponding to binary image；Wiener filtering equipment, after being arranged on projection room
In platform control room, it is connected by network with image balance processing equipment, for receiving smoothed image, wiener is performed to smoothed image
Filtering process is to obtain filtering image, and wherein Wiener filtering handles mean square error for causing smoothed image and filtering image most
It is small to remove the white noise and speckle noise in smoothed image；Human face data extraction equipment, it is arranged on the Background control of projection room
Interior, it is connected with Wiener filtering equipment to obtain filtering image；For each pixel in filtering image, when its gray value
When between default face upper limit gray value and default face lower limit gray value, screen pixels point is determined that it is；By filtering image
In all face pixels composition region split from filtering image to obtain each face subgraph；For each
Personal face image, seat corresponding to the face subgraph for determining to be directed to for its position in filtering image are numbered；Wherein,
For face subgraph corresponding to seat numbering be that projection room seat where spectators corresponding to people's face image is numbered；Its
In, the real-time face brightness of face subgraph and the determination mode that real time environment brightness deviates from are as follows：When the reality of face subgraph
When face brightness when being more than real time environment brightness, the real-time face brightness and real time environment brightness that determine face subgraph deviate from,
When the real-time face brightness of face subgraph is less than or equal to real time environment brightness, the real-time face brightness of face subgraph is determined
With real time environment brightness is non-deviates from.
More specifically, in a kind of big data storage system, in addition to：Gray processing processing equipment is by multiple identicals
Sub- equipment composition is handled, multiple identicals handle sub- equipment and are used for parallel work-flow, to complete the behaviour of gray processing processing equipment jointly
Make.
More specifically, in a kind of big data storage system, in addition to：, in addition to：Histogram distribution detection device
Sub- equipment is handled by multiple identicals to form, multiple identicals handle sub- equipment and are used for parallel work-flow, to complete histogram jointly
The operation of distribution detection device.
More specifically, in a kind of big data storage system, in addition to：Threshold value selects equipment by multiple identicals
Sub- equipment composition is managed, multiple identicals handle sub- equipment and are used for parallel work-flow, to complete the operation of threshold value selection equipment jointly.
More specifically, in a kind of big data storage system, in addition to：Binary conversion treatment equipment is by multiple identicals
Sub- equipment composition is handled, multiple identicals handle sub- equipment and are used for parallel work-flow, to complete the behaviour of binary conversion treatment equipment jointly
Make.
More specifically, in a kind of big data storage system, in addition to：Picture smooth treatment equipment is by multiple identical
Processing sub- equipment composition, multiple identicals handle sub- equipment and are used for parallel work-flow, to complete picture smooth treatment equipment jointly
Operation.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is a kind of block diagram of big data storage system according to embodiment of the present invention.
Reference：1 picture pick-up device；2 image-preprocessing devices；3 human face data extraction equipments
Embodiment
A kind of embodiment of big data storage system of the present invention is described in detail below with reference to accompanying drawings.
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, infrared if the person of taking on the sly is moving terminal or video camera shooting
Line will disturb the video camera imaging of the person of taking on the sly, the image or lower picture quality for causing the person of taking on the sly to obtain, can not commercially sell
Sell and propagated on network, so as to effectively safeguard copyright interest.
But this mode needs to launch infrared ray always, and the transmitting of infrared ray is large-scale, it is necessary to from each
Infrared ray is all launched in position, and cost is higher and poor feasibility.Therefore the anti-equipment of taking on the sly of the electronics at scene also needs to find others
Break through direction.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data storage system, can be by audience seat
The behavioral value of middle spectators and determine to whether there is the person of taking on the sly in audience seat by the parameter extraction to site environment,
And the position where the person of taking on the sly can be positioned in time, in order to take corresponding orientation warning measure, remind the person of taking on the sly
Abandon the behavior of taking on the sly
Fig. 1 is a kind of block diagram of big data storage system according to embodiment of the present invention, the system
Including big data storage device, picture pick-up device, image-preprocessing device and human face data extraction equipment, image-preprocessing device position
In in big data application platform, the image of picture pick-up device shooting is pre-processed, and pretreated image is sent and given people
Face data extraction device is extracted with carrying out the data of spectators' face in projection room, wherein, the data of spectators' face are used in projection room
Detected in projection room pirates shoot.
Then, continue that a kind of concrete structure of big data storage system of the present invention is further detailed.
The system includes：Big data storage device, it is connected with Freescale MC9S12 chips, for storing default face
Upper limit gray value and default face lower limit gray value；Timer, it is arranged in the Background control room of projection room, for providing timing
Signal；Ambient brightness sensing equipment, projection room roof middle position is arranged on, for sensing the real-time bright of projection chamber interior environment
Degree as real time environment brightness to export.
The system includes：Face brightness detection device, is arranged in the Background control room of projection room, is carried with human face data
Taking equipment connection is with reception everyone face image seat numbering corresponding with its, for based on everyone face image
The gray value of each pixel calculates the brightness of image of everyone face image to be exported as real-time face brightness.
The system includes：Brightness deviates from detection device, is arranged in the Background control room of projection room, respectively with timing
Device, ambient brightness detection device connect with face brightness detection device, for receiving real time environment brightness and receiving each
The real-time face brightness of face subgraph, for everyone face image, when its real-time face brightness and real time environment brightness
When the time deviated from reaches predetermined time period threshold value, numbered using seat numbering corresponding to face subgraph as targeted seat defeated
Go out；Freescale MC9S12 chips, are arranged in the Background control room of projection room, are connected, are used for away from detection device with brightness
Being sent based on targeted seat numbering includes the driving control signal of targeted seat numbering.
The system includes：Remote control equipment, the roof position being arranged on directly over projection room curtain is used for and Freescale
The connection of MC9S12 chips is carried out with receiving the driving control signal that Freescale MC9S12 chips are sent to driving control signal
Parsing is numbered based on targeted seat to determine that targeted seat is numbered and determines remote signal.
The system includes：Seat warning lamp, one is set on each spectators seat, for receiving remote signal with base
Feux rouges warning is carried out in remote signal；Picture pick-up device, projection room roof middle position is arranged on, for projection room curtain opposite
Auditorium carry out IMAQ to export auditorium image.
The system includes：Big data application platform, it is connected by network with picture pick-up device, for receiving auditorium image
And auditorium image is handled.
Big data application platform includes：Gray processing processing equipment, including channel parameters extraction unit, weighted value memory cell
With gray value computing unit, channel parameters extraction unit is connected with picture pick-up device, is seen for receiving auditorium image with extracting
R passages pixel value, G passages pixel value and the channel B pixel value of each pixel in many seat images, weighted value memory cell are used
In having prestored R channel weightings value, G channel weightings value and channel B weighted value, gray value computing unit respectively with channel parameters
Extraction unit is connected with weighted value memory cell, and for each pixel in auditorium image, R passages pixel value is led to R
The product of higher, the product of G passages pixel value and G channel weighting values and channel B pixel value multiply with channel B weighted value
Product is added the gray value for the pixel being directed to obtain, and the gray value based on each pixel in auditorium image obtains spectators
Gray level image corresponding to seat 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.
Big data application platform includes：Histogram distribution detection device, it is connected with gray processing processing equipment, for receiving ash
Degreeization image, and grey level histogram processing is carried out to gray level image to obtain corresponding histogram image, in histogram image
When bimodal distribution is presented, global threshold selection signal is sent, otherwise, sends non-global threshold selection signal.
Big data application platform includes：Threshold value selects equipment, is connected with histogram distribution detection device, for receiving
During global threshold selection signal, exported global threshold 128 as threshold data, receiving non-global threshold selection signal
When, exported neighbor pixel gray difference threshold 40 as threshold data.
Big data application platform includes：Binary conversion treatment equipment, equipment and histogram distribution is selected to detect with threshold value respectively
Equipment connects, for when receiving global threshold selection signal, for each pixel in gray level image, working as gray scale
Value is when being more than or equal to threshold data, by for pixel be arranged to white level pixel, when gray value is less than threshold data,
By for pixel be arranged to black level pixel, and binary image corresponding to 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 is when being less than or equal to threshold data, 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 is more than threshold data or left pixel is grey
When the absolute value of angle value and the difference of right grey scale pixel value is more than threshold data, by for pixel be arranged to black level pixel
Point, and binary image corresponding to output gray level image.
Big data application platform includes：Picture smooth treatment equipment, it is connected with binary conversion treatment equipment, for receiving two-value
Change image, for each pixel in binary image, when the saltus step of more than half in adjacent all pixels point being present
During point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be arranged to white level pixel
Point, and export smoothed image corresponding to binary image.
Wiener filtering equipment, it is arranged in the Background control room of projection room, is connected by network and image balance processing equipment
Connect, for receiving smoothed image, Wiener filtering processing is performed to smoothed image to obtain filtering image, wherein Wiener filtering is handled
For the white noise and speckle noise for causing the mean square error minimum of smoothed image and filtering image to remove in smoothed image；
The system includes：Human face data extraction equipment, it is arranged in the Background control room of projection room, is set with Wiener filtering
It is standby to connect to obtain filtering image；For each pixel in filtering image, when its gray value is in default face upper limit ash
When between angle value and default face lower limit gray value, screen pixels point is determined that it is；By all face pixels in filtering image
The region of point composition is split from filtering image to obtain each face subgraph；For everyone face image, pin
Number at seat corresponding to the face subgraph for determining to be directed to its position in filtering image；Wherein, for face subgraph
The seat numbering as corresponding to is the projection room seat numbering where spectators corresponding to people's face image.
Wherein, the real-time face brightness of face subgraph and the determination mode that real time environment brightness deviates from are as follows：Work as face
When the real-time face brightness of subgraph is more than real time environment brightness, real-time face brightness and the real time environment of face subgraph are determined
Brightness deviates from, and when the real-time face brightness of face subgraph is less than or equal to real time environment brightness, determines the reality of face subgraph
When face brightness with real time environment brightness is non-deviates from.
Alternatively, in the platform：Gray processing processing equipment handles sub- equipment by multiple identicals and formed, multiple identical
The sub- equipment of processing be used for parallel work-flow, to complete the operation of gray processing processing equipment jointly；Histogram distribution detection device by
Multiple identicals handle sub- equipment composition, and multiple identicals handle sub- equipment and are used for parallel work-flow, to complete histogram point jointly
The operation of cloth detection device；Threshold value selects equipment to be made up of the sub- equipment of multiple identicals processing, and multiple identicals handle sub- equipment
For parallel work-flow, to complete the operation of threshold value selection equipment jointly；Binary conversion treatment equipment is set by multiple identicals processing
Standby composition, multiple identicals handle sub- equipment and are used for parallel work-flow, to complete the operation of binary conversion treatment equipment jointly；Image is put down
Sliding processing equipment handles sub- equipment by multiple identicals and formed, and multiple identicals handle sub- equipment and are used for parallel work-flow, with common
Complete the operation of picture smooth treatment equipment.
In addition, give such definition for " big data " (Big data) research institution Gartner." big data " is
New tupe is needed to have stronger decision edge, see clearly discovery power and process optimization ability to adapt to magnanimity, high growth
Rate and diversified information assets.
Mai Kenxi studies in the whole world given a definition that：A kind of scale arrives greatly big in terms of acquisition, storage, management, analysis
Greatly beyond the data acquisition system of traditional database software means capability scope, there is the data scale of magnanimity, quick data flow
Turn, various data type and the low four big feature of value density.
The strategic importance of big data technology, which is not lain in, grasps huge data message, and is to these containing significant number
According to progress specialized process.In other words, if big data is compared to a kind of industry, then this industry realizes the pass of profit
Key, it is to improve " working ability " to data, is realized by " processing " " increment " of data.
Technically, big data and the relation of cloud computing are inseparable just as the positive and negative of one piece of coin.Big number
According to can not necessarily be handled with the computer of separate unit, it is necessary to using distributed structure/architecture.Its characteristic is to enter mass data
Row distributed data digging.But it must rely on distributed treatment, distributed data base and the cloud storage of cloud computing, virtualization skill
Art.
With the arriving of cloud era, big data (Big data) has also attracted increasing concern.《Write head》Point
Team of analysis division thinks that big data (Big data) is commonly used to a large amount of unstructured datas and half hitch for describing that a company creates
Structure data, these data can overspending time and moneys when downloading to relevant database and being used to analyze.Big data point
Analysis is often linked together with cloud computing because in real time framework of the large data set analysis needs as MapReduce come to
Tens of, hundreds of or even thousands of computer shares out the work.
Big data needs special technology, effectively to handle the data in the substantial amounts of tolerance elapsed time.Suitable for big
The technology of data, including MPP (MPP) database, data mining power network, distributed file system, distributed number
According to storehouse, cloud computing platform, internet and expansible storage system.
Can not be that taking on the sly for performance provides effectively for prior art using a kind of big data storage system of the present invention
The technical problem of detection of electrons, by using targetedly, high-precision a series of images processing equipment and graphical analysis set
The standby audience status to auditorium is analyzed, also by analyzing the environment at performance scene, on the basis of above-mentioned analysis
On, the behavior to pirates shoot person in auditorium carries out accurately detection and position identifies, finally takes aposematic mechanism to carry out the person of taking on the sly
Electronic reminding, so as to while avoiding disturbing other spectators to watch, effectively reduce the generation for behavior of taking on the sly.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is 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 changes and modifications 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 (2)
1. a kind of big data storage system, the system include big data storage device, picture pick-up device, image-preprocessing device and
Human face data extraction equipment, image-preprocessing device are located in big data application platform, and the image of picture pick-up device shooting is carried out
Pretreatment, and pretreated image is sent to human face data extraction equipment and carried with carrying out the data of spectators' face in projection room
Take, wherein, the data of spectators' face detect for projection room pirates shoot in projection room.
2. a kind of big data storage system as claimed in claim 1, it is characterised in that the system includes：
Big data storage device, it is connected with Freescale MC9S12 chips, for storing default face upper limit gray value and presetting
Face lower limit gray value；
Timer, it is arranged in the Background control room of projection room, for providing timing signal；
Ambient brightness sensing equipment, projection room roof middle position is arranged on, for sensing the real-time bright of projection chamber interior environment
Degree as real time environment brightness to export；
Face brightness detection device, is arranged in the Background control room of projection room, is connected with human face data extraction equipment to receive
Everyone face image seat numbering corresponding with its, the gray value for each pixel based on everyone face image
The brightness of image of everyone face image is calculated to be exported as real-time face brightness；
Brightness deviates from detection device, is arranged in the Background control room of projection room, respectively with timer, ambient brightness detection device
Connected with face brightness detection device, for receiving real time environment brightness and receiving the real-time face of everyone face image
Brightness, for everyone face image, when the time that its real-time face brightness and real time environment brightness deviate from reaching default
Between length threshold when, using corresponding to face subgraph seat numbering as targeted seat numbering output；
Freescale MC9S12 chips, are arranged in the Background control room of projection room, are connected, are used for away from detection device with brightness
Being sent based on targeted seat numbering includes the driving control signal of targeted seat numbering；
Remote control equipment, the roof position being arranged on directly over projection room curtain, for be connected with Freescale MC9S12 chips with
The driving control signal that Freescale MC9S12 chips are sent is received, and driving control signal is parsed to determine target seat
Bit number, numbered based on targeted seat and determine remote signal；
Seat warning lamp, one is set on each spectators seat, it is red to be carried out based on remote signal for receiving remote signal
Light warns；
Picture pick-up device, projection room roof middle position is arranged on, is adopted for carrying out image to the auditorium on projection room curtain opposite
Collect to export auditorium image；
Big data application platform, it is connected by network with picture pick-up device, for receiving auditorium image and auditorium image being entered
Row processing, big data application platform include：
Gray processing processing equipment, including channel parameters extraction unit, weighted value memory cell and gray value computing unit, passage ginseng
Number extraction units are connected with picture pick-up device, for receiving auditorium image to extract each pixel in auditorium image
R passages pixel value, G passages pixel value and channel B pixel value, weighted value memory cell be used for prestored R channel weightings value,
G channel weightings value and channel B weighted value, gray value computing unit respectively with channel parameters extraction unit and weighted value memory cell
Connection, for each pixel in auditorium image, by R passages pixel value and product, the G passage pixels of R channel weighting values
The pixel that value is directed to the product and channel B pixel value of G channel weighting values and the product addition of channel B weighted value with obtaining
Gray value, and based in auditorium image each pixel gray value obtain auditorium image corresponding to gray level image；
Wherein, R channel weightings value value is that 0.298839, G channel weighting values value is 0.586811, and channel B weighted value value is
0.114350；
Histogram distribution detection device, it 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, sends the overall situation
Threshold value selection signal, otherwise, send non-global threshold selection signal；
Threshold value selects equipment, is connected with histogram distribution detection device, complete for when receiving global threshold selection signal, inciting somebody to action
Office's threshold value 128 exports 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, equipment and histogram distribution detection device is selected 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 arranged to white level pixel, when gray value is less than threshold data, by for pixel be arranged to black
Level pixel point, and binary image corresponding to 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 vertical direction downwards apart from the pixel of its 3 pixels as upper grey scale pixel value
Gray value is used as left apart from the gray value of the pixel of its 3 pixels to the left as lower grey scale pixel value, calculated level direction
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
When the absolute value of the difference of gray value is less than or equal to threshold data, by for pixel be arranged 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
The absolute value of difference is when being more than threshold data, by for pixel be arranged to black level pixel, and output gray level image pair
The binary image answered；
Picture smooth treatment equipment, it is connected with binary conversion treatment equipment, for receiving binary image, in binary image
Each pixel, when more than half trip point in adjacent all pixels point being present, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be arranged to white level pixel, and it is corresponding to export binary image
Smoothed image；
Wiener filtering equipment, it is arranged in the Background control room of projection room, is connected by network with image balance processing equipment, is used
In receiving smoothed image, Wiener filtering processing is performed to smoothed image to obtain filtering image, wherein Wiener filtering, which is handled, is used for
So that the mean square error minimum of smoothed image and filtering image is to remove white noise and speckle noise in smoothed image；
Human face data extraction equipment, it is arranged in the Background control room of projection room, is connected with Wiener filtering equipment to be filtered
Image；For each pixel in filtering image, when its gray value is under default face upper limit gray value and default face
When between limit gray value, screen pixels point is determined that it is；The region that all face pixels in filtering image are formed is from filter
Split in ripple image to obtain each face subgraph；For everyone face image, for it in filtering image
Position determine seat numbering corresponding to the face subgraph that is directed to；Wherein, for face subgraph corresponding to seat number
For the projection room seat numbering where spectators corresponding to people's face image；
Wherein, the real-time face brightness of face subgraph and the determination mode that real time environment brightness deviates from are as follows：When face subgraph
When the real-time face brightness of picture is more than real time environment brightness, the real-time face brightness and real time environment brightness of face subgraph are determined
Deviate from, when the real-time face brightness of face subgraph is less than or equal to real time environment brightness, determine the real-time people of face subgraph
Face brightness with real time environment brightness is non-deviates from；
Threshold value selects equipment to be made up of the sub- equipment of multiple identicals processing, and multiple identicals handle sub- equipment and are used for parallel work-flow,
To complete the operation of threshold value selection equipment jointly；
Binary conversion treatment equipment handles sub- equipment by multiple identicals and formed, and multiple identicals handle sub- equipment and are used to grasp parallel
Make, to complete the operation of binary conversion treatment equipment jointly.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610778304.XA CN107547852A (en) | 2016-06-27 | 2016-06-27 | A kind of big data storage system |
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| CN201610478135.8A CN106101622A (en) | 2016-06-27 | 2016-06-27 | A kind of big data-storage system |
| CN201610778304.XA CN107547852A (en) | 2016-06-27 | 2016-06-27 | A kind of big data storage system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110308868A (en) * | 2019-03-19 | 2019-10-08 | 泰州悦诚科技信息咨询中心 | Adaptive big data storage platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107093435A (en) * | 2017-02-09 | 2017-08-25 | 王立娥 | A kind of multimedia equipment |
| CN107329532A (en) * | 2017-08-22 | 2017-11-07 | 无锡北斗星通信息科技有限公司 | PDA information notifies control device |
| CN107295318A (en) * | 2017-08-23 | 2017-10-24 | 无锡北斗星通信息科技有限公司 | Colour projection's platform based on image procossing |
| CN107371004A (en) * | 2017-08-23 | 2017-11-21 | 无锡北斗星通信息科技有限公司 | A kind of method of colour image projection |
| CN107784653A (en) * | 2017-11-06 | 2018-03-09 | 山东浪潮云服务信息科技有限公司 | A kind of Anti-sneak-shooting system and method |
| CN110012259A (en) * | 2018-07-26 | 2019-07-12 | 上海懿磬信息科技发展有限公司 | A kind of video conference place remote monitoring system and method |
| CN109040654B (en) * | 2018-08-21 | 2021-03-30 | 苏州科达科技股份有限公司 | Method and device for identifying external shooting equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4941286B2 (en) * | 2007-02-28 | 2012-05-30 | 株式会社Ｊｖｃケンウッド | Imaging device and playback device |
| ATE511313T1 (en) * | 2007-03-06 | 2011-06-15 | Thomson Licensing | DIGITAL CINEMA ANTI-CAM CORDER RECORDING METHOD AND APPARATUS BASED ON SINGLE-FRAME POST-SCANNING |
| CN201521921U (en) * | 2009-10-20 | 2010-07-07 | 南京工业职业技术学院 | Device preventing pirating and secret shooting |
| CN102736389B (en) * | 2011-04-15 | 2015-10-14 | 北京工商大学 | A kind of film sneak shot proof device and a kind of film sneak shot proof method |
| CN104869476A (en) * | 2015-05-18 | 2015-08-26 | 上海交通大学 | Video playing method for preventing candid shooting based on psychological vision modulation |
-
2016
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110308868A (en) * | 2019-03-19 | 2019-10-08 | 泰州悦诚科技信息咨询中心 | Adaptive big data storage platform |
| CN110308868B (en) * | 2019-03-19 | 2020-01-31 | 武汉烽火信息集成技术有限公司 | Self-adaptive big data storage platform |
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| CN106101622A (en) | 2016-11-09 |
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