CN109031962A - A kind of intelligent home control system based on block chain - Google Patents
A kind of intelligent home control system based on block chain Download PDFInfo
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- CN109031962A CN109031962A CN201810726294.4A CN201810726294A CN109031962A CN 109031962 A CN109031962 A CN 109031962A CN 201810726294 A CN201810726294 A CN 201810726294A CN 109031962 A CN109031962 A CN 109031962A
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- 230000001815 facial effect Effects 0.000 claims abstract description 87
- 230000002708 enhancing effect Effects 0.000 claims description 10
- 238000007781 pre-processing Methods 0.000 claims description 7
- 238000003709 image segmentation Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000004378 air conditioning Methods 0.000 claims description 2
- 230000008901 benefit Effects 0.000 description 5
- 238000000034 method Methods 0.000 description 4
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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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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- 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
- G06V40/168—Feature extraction; Face representation
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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
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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Abstract
The present invention provides a kind of intelligent home control system based on block chain, which includes: block chain database, face acquisition device, processor, controller, controlled home equipment；Block chain database purchase has the facial image characteristic value of control authority to controlled home equipment；Face acquisition device is for acquiring facial image；Processor is matched for handling the facial image of acquisition, and by the facial image characteristic value for having control authority being pre-stored in the characteristic value of obtained facial image and block chain database, judges whether the facial image of acquisition is possessed of control power limit；Controller generates corresponding control instruction for the judging result according to processor, realizes the control to corresponding controlled home equipment.Compared to the prior art the present invention, using the human face image information of block chain database purchase user, avoids the risk that a node is hung or attacked and caused whole system failure, improves the security level of the system.
Description
Technical field
The present invention relates to smart home fields, and in particular to a kind of intelligent home control system based on block chain.
Background technique
Smart home will be merged a in the relevant smart home device organic combination of home life using technology of Internet of things
Property demand, realize comprehensive intelligent control and management.With the fast development of technology, smart home is increasingly used in
In the real life of ordinary populace.
Currently, in smart home solution provided by the market, need a smart home router and by means of
The terminal devices such as smart phone are remotely controlled.This control mode needs user to take the mobile phone moment with oneself, and energy
Enough free hand to manipulate mobile phone.However, can not be set to intelligence when the both hands of user are in busy or inconvenient state
It is standby to be controlled, cause user experience bad.Therefore, a red intelligent home control system is needed, realization is not entirely dependent on double
Hand can control smart home.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of intelligent home control system based on block chain.The system is utilized
The facial image of user is stored in block chain database by the characteristics of Distributed Storage of block chain, when collecting people
When face image, by analyzing the facial image of acquisition, obtain its characteristic value, and by its with prestored in block chain database
The facial image characteristic value that controlled home equipment has control authority is compared in having for storage, whether judges the facial image acquired
Be possessed of control power limit, and then generates corresponding control instruction according to judging result.
The purpose of the present invention is realized using following technical scheme: a kind of intelligent home control system based on block chain,
The intelligent home control system includes: block chain database, face acquisition device, processor, controller, controlled home equipment；
Block chain database, for storing the facial image characteristic value for having control authority to controlled home equipment；Face acquisition device is used
In acquisition facial image, and the facial image of acquisition is sent to processor；Processor, for the facial image progress to acquisition
Processing, and the facial image for having control authority being pre-stored in the characteristic value of the facial image compared and block chain database
Characteristic value is matched, and judges whether the facial image of acquisition is possessed of control power limit；Controller, for the judgement according to processor
As a result, generating corresponding control instruction, the control to corresponding controlled home equipment is realized.
The invention has the benefit that compared with prior art, using block chain database to the facial image of user into
Row storage avoids the risk that whole system fails caused by a node is hung or be attacked, improves smart home
The security level of control system.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is structural schematic diagram of the invention；
Fig. 2 is the frame construction drawing of processor of the present invention.
Appended drawing reference: block chain database 1；Face acquisition device 2；Processor 3；Controller 4；Controlled home equipment 5；In advance
Processing module 31；Facial image divides module 32；Characteristic extracting module 33；Judgment module 34；Enhancement unit 311；Denoise unit
312。
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of intelligent home control system based on block chain, which includes: block
Chain database 1, face acquisition device 2, processor 3, controller 4, controlled home equipment 5；Block chain database 1, for storing
There is the facial image characteristic value of control authority to controlled home equipment；Face acquisition device 2, for acquiring facial image, and will
The facial image of acquisition is sent to processor 3；Processor 3 obtains that treated for handling the facial image of acquisition
The characteristic value of facial image, and have control for what is be pre-stored in the characteristic value of obtained facial image and block chain database 1
The facial image characteristic value of limit is matched, and judges whether the facial image of acquisition is possessed of control power limit；Controller 4 is used for root
According to the judging result of processor 3, corresponding control instruction is generated, realizes the control to corresponding controlled home equipment 5.
Preferably, face acquisition device 2 is CCD camera；
Preferably, controlled home equipment 5 includes curtain equipment, light units, warning device and air-conditioning equipment.
Preferably, block chain database 1 is made of multiple block chain nodes, block chain node is for storing to controlled family
Occupy the facial image characteristic value that equipment has control authority.
The invention has the benefit that compared with prior art, using block chain database to the facial image of user into
Row storage avoids the risk that whole system fails caused by a node is hung or be attacked, improves smart home
The security level of control system.
Preferably, referring to fig. 2, processor 3 includes preprocessing module 31, facial image segmentation module 32, feature extraction
Module 33 and judgment module 34；Preprocessing module 31, for being pre-processed to the facial image of acquisition, and will after pretreatment
Facial image be transmitted to facial image segmentation module；Facial image divides module 32, for pretreated facial image
It is split operation, obtains the foreground image that can describe face characteristic information；Characteristic extracting module 33 is used for from foreground image
Middle extraction can describe the characteristic value of face information；Judgment module 34, for will be in obtained characteristic value and block chain database
The facial image characteristic value prestored is compared, and judges whether the facial image of acquisition is possessed of control power limit.
Preferably, preprocessing module 31 includes enhancement unit 311 and denoising unit 312；Enhancement unit 311, for pair
The facial image of acquisition carries out enhancing processing；Unit 312 is denoised, for removing the random noise in enhanced facial image.
Preferably, the facial image to acquisition carries out enhancing processing, comprising:
(1) the original RGB component set of each pixel in facial image is obtained, the RGB component set includes R points
Amount, G component and B component；
(2) the original RGB component set based on each pixel, obtain it is enhanced after RGB component set, wherein pixel
The calculation formula of RGB component set after point (i, j) is enhanced are as follows:
In formula, Mr ' (i, j), Mg ' (i, j) and Mb ' (i, j) be respectively it is enhanced after pixel (i, j) R component
Value, the value of the value of G component and B component, Mr (i, j), Mg (i, j) and Mb (i, j) are R points of pixel (i, j) in facial image
Value, the value of G component and the value of B component of amount, MrminIt is the minimum value of all pixels point R component in facial image, MgminIt is people
The minimum value of all pixels point G component, Mb in face imageminIt is the minimum value of all pixels point B component in facial image, Mrmax
It is the maximum value of all pixels point R component in facial image, MgmaxIt is the maximum value of all pixels point G component in facial image,
MbmaxIt is the maximum value of all pixels point B component in facial image, γ is enhancing coefficient,It is Mrmin、Mgmin、MbminThree
The sum of average value；Int [] is rounding operation, and i, j are respectively the abscissa and ordinate of pixel in facial image；
(3) enhancing processing is carried out to all pixels point in facial image using step (2), enhanced face can be obtained
Image.
The utility model has the advantages that being carried out in the present embodiment using three channel components of the above formula to pixel each in facial image
Enhancing processing, so that the colour brightness of the dark area in enhanced facial image has obtained apparent reinforcement, enhances people
The clarity of face image, can be effectively reduced environment, weather, object and the disturbing factors bring such as block influences, after improving
Continuous speed and accuracy rate to Traffic Sign Recognition.
In one embodiment, the random noise of the enhanced facial image of removal, specifically:
(1) enhanced facial image is subjected to gray processing processing, obtains face gray level image；
(2) centered on pixel p (m, n), the sliding window Ω that a size is K × K is chosenp, according to the sliding
The gray value mean value of the gray value of all pixels point and face gray level image in window, calculate except pixel p (m, n) with
Outside, in sliding window residual pixel point weighting coefficient, wherein the calculation formula of the weighting coefficient of pixel q (a, b) are as follows:
In formula, ω (a, b) is the weighting coefficient of pixel q (a, b), Gq(a, b) is the gray value of pixel q (a, b), ν1、
ν2Be it is preset be greater than zero parameter factors, for describing the average gray value of pixel in sliding window respectivelyAnd face
The average gray value of gray level imagePercentage contribution, and meet ν1+ν2=1, pixel q (a, b) are sliding window Ωp
Residual pixel point interior, other than removing pixel p (m, n)；
(3) it according to the weight coefficient and presetting global threshold T of residual pixel point in obtained sliding window, calculates and slides
Dynamic window ΩpLocal threshold, wherein the sliding window ΩpLocal threshold calculating formula are as follows:
When the gray value of any pixel point in sliding window is greater thanThen the pixel is noise spot, is estimated using following formula
The denoising estimated value of the noise spot out, and with obtain denoising estimated value replacement corresponding pixel points gray value, work as sliding window
The gray value of interior any pixel point is not more thanThen the pixel is non-noise point；
In formula,It is the denoising estimated value of noise spot gh (i, j), Ggh(i, j) is sliding window ΩpInterior noise spot
Gray value；
(4) all pixels point in face gray level image is traversed, thus the facial image after being denoised.
The utility model has the advantages that carrying out denoising using gray level image of the denoising unit 312 to enhanced facial image, lead to
It crosses the formula in step (2) and calculates the weight coefficient of all pixels point in addition to central point in sliding window, and then calculate sliding
The local threshold of pixel in window carries out at denoising all pixels point in sliding window according to the local threshold being calculated
Reason, random noise that which can be adaptive filter out, while and estimating the denoising estimated value of noise spot and replace corresponding picture
The gray value of vegetarian refreshments, can be while retaining the detailed information of image, and the random noise being effectively removed in image obtains clear
Facial image after the high denoising of clear degree.
In one embodiment, described that processing is split to pretreated facial image, it obtains that traffic can be stated
The foreground image of flag information, method are:
(1) the pretreated facial image is divided into the subimage block that multiple sizes are M × N；
(2) Threshold segmentation, the threshold calculations formula of subimage block are carried out to each subimage block are as follows:
Work as λef(c, d) > λe,, which is foreground pixel point, conversely, the pixel is background pixel point；
In formula, λe,For the optimal threshold of the subimage block of e row f column, (c, d are in subimage block at c row d column to g
The gray value of pixel, weight ρ (c, d) shared in the subimage block for pixel at c row d column in subimage block,
And meetσefFor the variance of the gray value of e row f column subimage block, σ is pretreated people
The variance of face image, uefFor the gray value mean value of e row f column subimage block, u is the gray value of pretreated facial image
Mean value, k1, k2For weight coefficient,It is the average gray value of the first image after pre-processing, Δ is the invariant of setting, is used for
Preventing index is zero, λthFor the global segmentation threshold value of setting；
(3) all foreground pixel points are obtained, the set that foreground pixel point is constituted is foreground image.
The utility model has the advantages that facial image after pretreatment is divided into multiple subimage blocks, and select different threshold values pair
Each subimage block is split processing, and the algorithm is more flexible, adaptive strong, and the threshold value is by the sum of the grayscale values of subimage block
The presetting global segmentation threshold value of the sum of the grayscale values of gray-value image codetermines, and this method can be from the dry of external environment
It disturbs, such as illumination, blocks, the interference that image is dirty, be conducive to obtain image-region relevant to face information, reduce subsequent
The complexity of face recognition process, improves processing speed and processing accuracy, to improve the peace of intelligent home control system
Congruent grade.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (7)
1. a kind of intelligent home control system based on block chain characterized by comprising block chain database, face acquisition
Device, processor, controller, controlled home equipment；
The block chain database, for storing the facial image characteristic value for having control authority to controlled home equipment；
The face acquisition device is sent to the processor for acquiring facial image, and by the facial image of acquisition；
The processor, for handling the facial image of acquisition, and by the characteristic value of obtained facial image and described
The facial image characteristic value for having control authority being pre-stored in block chain database is matched, and judges that the facial image of acquisition is
The no limit that is possessed of control power；
The controller generates corresponding control instruction for the judging result according to the processor, realize to accordingly by
Control the control of home equipment.
2. intelligent home control system according to claim 1, which is characterized in that the face acquisition device is that CCD takes the photograph
Camera.
3. intelligent home control system according to claim 1, which is characterized in that the controlled home equipment includes curtain
Equipment, light units, warning device and air-conditioning equipment.
4. intelligent home control system according to claim 1, which is characterized in that the block chain database is by multiple areas
Block chain node composition, the block chain node is for storing the facial image characteristic value for having control authority to controlled home equipment.
5. intelligent home control system according to claim 1, which is characterized in that the processor includes pretreatment mould
Block, facial image segmentation module, characteristic extracting module and judgment module；
The preprocessing module for pre-processing to the facial image of acquisition, and facial image after pretreatment is passed
Transport to the facial image segmentation module；
The facial image segmentation module for being split operation to pretreated facial image obtains that people can be described
The foreground image of face characteristic information；
The characteristic extracting module, for extracting the characteristic value that can describe face information from the foreground image；
The judgment module, facial image characteristic value for will be prestored in obtained characteristic value and the block chain database into
Row compares, and judges whether the facial image of acquisition is possessed of control power limit.
6. intelligent home control system according to claim 5, which is characterized in that the preprocessing module includes that enhancing is single
Member and denoising unit；
The enhancement unit, for carrying out enhancing processing to the facial image of acquisition；
The denoising unit, for removing the random noise in enhanced facial image.
7. intelligent home control system according to claim 6, which is characterized in that the facial image of described pair of acquisition carries out
Enhancing processing, comprising:
(1) the original RGB component set of each pixel in facial image is obtained, the RGB component set includes R component, G points
Amount and B component；
(2) the original RGB component set based on each pixel, obtain it is enhanced after RGB component set, wherein pixel
The calculation formula of RGB component set after (i, j) is enhanced are as follows:
In formula, Mr ' (i, j), Mg ' (i, j) and Mb ' (i, j) be respectively it is enhanced after the value of R component of pixel (i, j), G
The value of component and the value of B component, Mr (i, j), Mg (i, j) and Mb (i, j) are the R components of pixel (i, j) in facial image
Value, the value of the value of G component and B component, MrminIt is the minimum value of all pixels point R component in facial image, MgminIt is face figure
The minimum value of all pixels point G component, Mb as inminIt is the minimum value of all pixels point B component in facial image, MrmaxIt is people
The maximum value of all pixels point R component, Mg in face imagemaxIt is the maximum value of all pixels point G component in facial image, Mbmax
It is the maximum value of all pixels point B component in facial image, γ is enhancing coefficient,It is Mrmin、Mgmin、MbminThe sum of three
Average value；Int [] is rounding operation, and i, j are respectively the abscissa and ordinate of pixel in facial image；
(3) enhancing processing is carried out to all pixels point in the facial image using step (2), enhanced face can be obtained
Image.
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| CN201810726294.4A CN109031962A (en) | 2018-07-04 | 2018-07-04 | A kind of intelligent home control system based on block chain |
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| CN201810726294.4A CN109031962A (en) | 2018-07-04 | 2018-07-04 | A kind of intelligent home control system based on block chain |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110557427A (en) * | 2019-07-15 | 2019-12-10 | 浙江工业大学 | Intelligent home security control method for balancing network performance and security |
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2018
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110557427A (en) * | 2019-07-15 | 2019-12-10 | 浙江工业大学 | Intelligent home security control method for balancing network performance and security |
| CN110557427B (en) * | 2019-07-15 | 2022-07-26 | 浙江工业大学 | Intelligent home security control method for balancing network performance and security |
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Application publication date: 20181218 |