CN107368805A - A kind of remote control based on the identification of intelligent domestic system electrical equipment - Google Patents
A kind of remote control based on the identification of intelligent domestic system electrical equipment Download PDFInfo
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- CN107368805A CN107368805A CN201710582781.3A CN201710582781A CN107368805A CN 107368805 A CN107368805 A CN 107368805A CN 201710582781 A CN201710582781 A CN 201710582781A CN 107368805 A CN107368805 A CN 107368805A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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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
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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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
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/09—Recognition of logos
Abstract
The invention provides a kind of remote control based on the identification of intelligent domestic system electrical equipment, including image capture module, characteristic extracting module, control module and user interface, described image acquisition module, which is used to be identified according to electrical equipment, obtains electrical equipment identification image；The characteristic extracting module is used to extract identification characteristics from the electrical equipment identification image；The control module is used for the identification of identification characteristics, and recalls corresponding electrical equipment control interface according to recognition result；The user interface is used to input electrical equipment control instruction.Electrical equipment can be identified for remote control provided by the invention, and automatically switch to remote control interface corresponding with electrical equipment, and easy to use and applicability is wide.
Description
Technical field
The present invention relates to smart home electronic applications, and in particular to a kind of remote control based on the identification of intelligent domestic system electrical equipment
Device.
Background technology
People are that the input improved the quality of living is also more and more, and family is that people stop the place for giving birth to and bringing up breath, in all one's life of people
In its importance it is self-evident.In order to ensure the facility of the safety of household, the health of relatives and life, household automation, intelligence
The inevitable also more and more higher of the degree of energyization, still, household electrical appliance such as TV, refrigerator, air-conditioning among the basic living of people at present
All it is separately controlled.Under the allegro development of metropolis, people need more efficiently and comfortably to live, it is desirable to right
The operation of existing household electrical appliance carries out unified management, therefore more and more stronger to the demand of smart home.Prior art is real
During existing Intelligent housing, mainly by technology of Internet of things, by the various equipment in room, as audio ＆ video equipment, illuminator,
Curtain Controller, air-conditioner control system, safety-protection system, Active-Movie system etc. connect together, and realize to various in room
The control of equipment.
With being continuously increased for Modern Family's electrical equipment species and quantity, occur integrating a variety of appliance remote control functions
Universal remote control, this universal remote control can generally support the distant control function of several to dozens of electrical equipment, in practical operation
When, first have to select the electrical equipment to be remotely controlled on universal remote control, then recall again by public keyboard or on the lcd screen
To should the UI interfaces of electrical equipment be remotely controlled operation.When electrical equipment is various, need to set on universal remote control many buttons with
Each electrical equipment is corresponding, when needing to be remotely controlled a certain electrical equipment, it is necessary to from multiple buttons of universal remote control or multiple household electrical appliances of lcd screen
Found out in icon to should electrical equipment button or icon, so as to cause to use upper inconvenience.
The content of the invention
A kind of in view of the above-mentioned problems, the present invention is intended to provide remote control based on the identification of intelligent domestic system electrical equipment.
The purpose of the present invention is realized using following technical scheme：
A kind of remote control based on the identification of intelligent domestic system electrical equipment, including image capture module, characteristic extracting module, control
Molding block and user interface, described image acquisition module, which is used to be identified according to electrical equipment, obtains electrical equipment identification image；The feature carries
Modulus block is used to extract identification characteristics from the electrical equipment identification image；The control module is used for the identification of identification characteristics, and
Corresponding electrical equipment control interface is recalled according to recognition result；The user interface is used to input electrical equipment control instruction.
Beneficial effects of the present invention are：Using the remote control based on electrical equipment identification function, can be controlled required for automatic identification
The electrical equipment of system simultaneously automatically switches to corresponding remote control interface, and easy to use and applicability is wide.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not form any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
The frame construction drawing of Fig. 1 present invention；
Fig. 2 is the frame construction drawing of feature of present invention extraction module.
Reference：
As acquisition module 1, characteristic extracting module 2, control module 3 and user interface 4, pretreatment unit 20, marker extraction
Unit 21 and mark recognition unit 22.
Embodiment
With reference to following application scenarios, the invention will be further described.
Referring to Fig. 1, a kind of remote control based on the identification of intelligent domestic system electrical equipment of the present embodiment, including be sequentially connected
's：Image capture module 1, characteristic extracting module 2, control module 3 and user interface 4, described image acquisition module 1 are used for basis
Electrical equipment mark obtains electrical equipment identification image；It is special that the characteristic extracting module 2 is used for the extraction mark from the electrical equipment identification image
Sign；The control module 3 is used for the identification of identification characteristics, and recalls corresponding electrical equipment control interface according to recognition result；It is described
User interface 4 is used to input electrical equipment control instruction.
Further, the electrical equipment mark is provided in the reflective light label on electrical equipment.
Further, described image acquisition module 1 includes infrared camera and infrared diode.
Preferably, the control module 3 includes searching unit, instruction acquiring unit, characteristic storing unit and interface information
Memory cell, the searching unit be used in the characteristic storing unit search be consistent with the electrical equipment identification characteristics it is pre-
If electrical equipment identification feature, and recall corresponding electrical equipment identification instruction and be sent to instruction acquiring unit；The instruction acquiring unit is used
The control that corresponding electric appliance is recalled from interface information memory cell is instructed in receiving electrical equipment identification instruction and being identified according to the electrical equipment
Interface；The characteristic storing unit is used to store the electrical equipment identification instruction and default electrical equipment identification feature；The interface information
Memory cell is used for the control interface for storing at least two electrical equipment.
When remote control points to certain electrical equipment, the infrared light that the infrared diode on infrared camera projects can image the electricity
Device, the reflective light label being arranged on electrical equipment can produce it is reflective, then by remote control infrared camera paving goods to reflective light label production
Raw electrical equipment identification image, feature i.e. electrical equipment is identified to image procossing and feature recognition by characteristic extracting module 2 and is numbered,
The default electrical equipment identification feature being consistent with the electrical equipment identification characteristics is searched in characteristic storing unit, so as to judge it is assorted
Electrical equipment, and recall corresponding electrical equipment identification instruction and send to acquiring unit is instructed, instruction acquiring unit receives electrical equipment identification
Instruct and recall the control interface of corresponding electric appliance in interface information memory cell according to the instruction.
Preferably, referring to Fig. 2, the characteristic extracting module includes pretreatment unit 20, marker extraction unit 21 and mark
Recognition unit 22, the pretreatment unit 20 are used to pre-process the electrical equipment identification image, including except noise processed and
Black white binarization processing, obtains clearly characteristic image；The marker extraction unit 21 is used to be partitioned into essence in characteristic image
True identification image；The mark recognition unit 22 is used to mark be identified, and obtains electrical equipment identification characteristics.
The above embodiment of the present invention, using the remote control based on intelligent domestic system electrical equipment identification function, it can know automatically
The electrical equipment of not required control simultaneously automatically switches to corresponding remote control interface, and easy to use and applicability is wide.
Preferably, the pretreatment unit 20 carries out removing noise processed to electrical equipment identification image, is specially：
(1) it is pretreatment unit established standardses region operator, defining standard area operator is：
In formula, PiThe set of pixel of (m, the n) expression in the different zones centered on pixel (m, n), i=1,
2 ..., 7, m ' and n ' represents different pixels point in the designated area centered on pixel (m, n) to pixel (m, n) respectively
Horizontal range and vertical range；
(2) gray value of electrical equipment identification image is obtained, calculates each standard area P respectivelyiThe gray scale of (m, n) interior pixel
The variance F of valueiIf FiLess than the gray variance threshold value of setting, then by standard area Pi(m, n) is designated as favored area Pi’(m,
n)；
(3) electrical equipment identification image is carried out to remove noise processed using the self-defined noise function that removes, after output removes noise processed
Electrical equipment identification image, it is self-defined except noise function is：
In formula, T ' (m, n) represents the gray value of pixel (m, n), Pi' (m, n) represent centered on pixel (m, n)
The set of pixel in different zones, r represent favored area Pi' (m, n) quantity, T (Pi' (m, n)) represent favored area
Pi' (m, n) interior pixel gray scale value set, med [T (Pi' (m, n))] represent favored area Pi' (m, n) interior pixel ash
The intermediate value of angle value.
This preferred embodiment, carry out removing noise processed using most preferred region operator, can be during except noise
Electrical equipment identification image gamma characteristic in itself and texture features are adapted to, electrical equipment identification image is effectively removed and is produced in transmitting procedure
The minutia of image is saved while raw noise to greatest extent, by above-mentioned processing obtain remove noise processed after
Electrical equipment identification image definition is high, and guarantee is provided for follow-up accurately feature recognition.
Preferably, the pretreatment unit 20 except the electrical equipment identification image after noise processed to carrying out at black white binarization
Reason, it is specially：
(1) electrical equipment identification image overall situation gray threshold E is set1：
In formula, E1The global gray threshold of setting is represented, sup (ω) represents set
Supremum, hist [v] represent remove noise processed after electrical equipment identification image grey level histogram in gray value be v pixel number
Amount,Represent except gray value is less than or equal to ω pixel in the electrical equipment identification image grey level histogram after noise processed
Point quantity, A represent electrical equipment identification image pixel total quantity.
(2) the local gray level threshold value based on each pixel in electrical equipment identification image is obtained, using self-defined local gray level
Threshold value obtains function：
Wherein,
In formula, E3The local gray level threshold value of (m, n) expression pixel (m, n), and Q ' (m+m ', n+n ') represent pixel (m+
M ', n+n ') gray reference value, m ' and n ' represent respectively pixel (m+m ', n+n ') to the horizontal range of pixel (m, n) and
Vertical range, The range factor of setting is represented,Represent
Size using centered on pixel (m, n) asWindow in pixel gray reference value in
Value, Qb(m, n) and Qs(m, n) represent respectively size using centered on pixel (m, n) asWindow
In pixel gray scale greatly and minimum, U (m+m ', n+n ') represents the gray value of pixel (m+m ', n+n ').
(3) according to global gray threshold and pixel local gray level threshold value, to except the electrical equipment identification image after noise processed
Black white binarization processing is carried out, is specially：
In formula, C (m, n) represents the black white binarization result of pixel (m, n), C2(m, n) represents local black white binarization
Judged result, U (m, n) represent the gray value of pixel (m, n), E1Represent global gray threshold, E3(m, n) expression pixel (m,
N) local gray level threshold value, α represent the global gray scale factor of setting, α ∈ [0.2,0.4], Qb(m, n) and Qs(m, n) is represented respectively
Size using centered on pixel (m, n) asWindow in pixel gray scale pole maximum and minimum
Value,Represent the range factor of setting.
(4) gray value for the pixel that binaryzation result is 1 is arranged to 255, the pixel that binaryzation result is 0
Gray value is arranged to 0.
This preferred embodiment, make with the aforedescribed process to except the electrical equipment identification image after noise processed carries out black white binarization
Processing, adds criterion of global gray threshold and pixel the local gray level threshold value as black white binarization, can not only
Adapt to remove the electrical equipment identification image gamma characteristic of itself after noise processed, reduce the error brought by individual gray distinguished point,
Simultaneously it can be considered that the local gray level characteristic of electrical equipment identification image, reduces the harmful effect that artifact phenomenon and uneven illumination are brought,
The degree of accuracy of black white binarization processing is improved, reflects required feature to greatest extent, the electrical equipment identification after being is established
Basis.
Preferably, the marker extraction unit 21 is used to be partitioned into accurate identification image in characteristic image, is specially：
(1) a definition region R is chosen in the R of characteristic image region0, wherein R0∈ R, definition region R is represented with γ0's
Boundary curve；
(2) level set function is initialized
In formula,The level set function of pixel (m, n) initialization is represented, (m, n) ∈ R, L (m, n) represent pixel
(m, n) arrives definition region R0Boundary curve γ Euclidean distance, (m, n) ∈ R0Represent pixel (m, n) in definition region R0
Interior, (m, n) ∈ γ represent pixel (m, n) in domain R0Boundary curve γ on, (m, n) ∈ R-R0Represent pixel (m, n)
In definition region R0Outside；
(3) developed using self-defined evolution function pair level set function, self-defined evolution function is：
In formula,Level set function after expression pixel (m, n) evolution, (m, n) ∈ R,Represent picture
The current level set function of vegetarian refreshments (m, n), μ and λ are respectively the inside and outside energy factors set, and d (m, n) is represented
The curvature of pixel (m, n) level set curved surface, Represent Dirac function,θ represents the narrow-band threshold of setting,
The variable gray scale weight coefficient of pixel (m, n) is represented, for controlling boundary curve γ to believe in evolutionary process according to image
Breath adaptively determines inwardly and outwardly to move, and R (m, n) represents the gray value of pixel (m, n), RhRepresent mark location area
The average gray value in domain,Represent the weight coefficient factor of setting, for adapting to different edge demands, Δ t represent to develop when
Between step-length；
(4) check whether evolution curve reaches stable state, do not reach stable also if developing, repeat step (3)；If drill
Change has reached stable state, then stops developing and obtaining the contour curve that the boundary curve γ ' after developing identifies as electrical equipment；
(5) contour curve identified according to electrical equipment is partitioned into accurate identification image.
This preferred embodiment, contour feature extracting method is identified using adaptive electrical equipment, can adapt to of different shapes
Electrical equipment identification image, quickly and accurately extract the profile of electrical equipment identification image and split, effectively improve mark figure
The segmentation efficiency of picture, while the segmentation accuracy of identification image is ensure that, laid a good foundation for follow-up electrical equipment identification.
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 scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (8)
1. a kind of remote control based on the identification of intelligent domestic system electrical equipment, it is characterized in that, including image capture module, feature extraction
Module, control module and user interface, described image acquisition module, which is used to be identified according to electrical equipment, obtains electrical equipment identification image；It is described
Characteristic extracting module is used to extract identification characteristics from the electrical equipment identification image；The control module is used for the knowledge of identification characteristics
Not, and according to recognition result corresponding electrical equipment control interface is recalled；The user interface is used to input electrical equipment control instruction.
2. the remote control according to claim 1 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, the electrical equipment mark
Know the reflective light label being provided on electrical equipment.
3. the remote control according to claim 2 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, described image is adopted
Collection module includes infrared camera and infrared diode.
4. the remote control according to claim 3 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, the control mould
Block includes searching unit, instruction acquiring unit, characteristic storing unit and interface information memory cell, the searching unit and is used for
The default electrical equipment identification feature being consistent with the electrical equipment identification characteristics is searched in the characteristic storing unit, and is recalled corresponding
Electrical equipment identification instruction is sent to instruction acquiring unit；The instruction acquiring unit is used to receive electrical equipment identification instruction and according to the electricity
Device identification instruction recalls the control interface of corresponding electric appliance from interface information memory cell；The characteristic storing unit is used to store
The electrical equipment identification instruction and default electrical equipment identification feature；The interface information memory cell is used to store at least two electrical equipment
Control interface.
5. the remote control according to claim 4 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, the feature carries
Modulus block includes pretreatment unit, marker extraction unit and mark recognition unit, the pretreatment unit and is used for the electrical equipment
Identification image is pre-processed, including except noise processed and black white binarization are handled, obtains clearly characteristic image；The mark
Extraction unit is used to be partitioned into accurate identification image in characteristic image；The mark recognition unit is used for knowing
Not, electrical equipment identification characteristics are obtained.
6. the remote control according to claim 5 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, the pretreatment
Unit carries out removing noise processed to electrical equipment identification image, is specially：
(1) it is pretreatment unit established standardses region operator, defining standard area operator is：
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In formula, PiThe set of pixel of (m, the n) expression in the different zones centered on pixel (m, n), i=1,2 ..., 7,
M ' and n ' represents the different pixels point in the designated area centered on pixel (m, n) to the level of pixel (m, n) respectively
Distance and vertical range；
(2) gray value of electrical equipment identification image is obtained, calculates each standard area P respectivelyiThe gray value of (m, n) interior pixel
Variance FiIf FiLess than the gray variance threshold value of setting, then by standard area Pi(m, n) is designated as favored area Pi’(m,n)；
(3) electrical equipment identification image is carried out to remove noise processed using the self-defined noise function that removes, output removes the electricity after noise processed
Device identification image, it is self-defined except noise function is：
In formula, T ' (m, n) represents the gray value of pixel (m, n), Pi' difference of (m, the n) expression centered on pixel (m, n)
The set of pixel in region, r represent favored area Pi' (m, n) quantity, T (Pi' (m, n)) represent favored area Pi’(m,
N) the gray scale value set of pixel in, med [T (Pi' (m, n))] represent favored area Pi' (m, n) interior pixel gray value
Intermediate value.
7. the remote control according to claim 6 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, the pretreatment
Unit except the electrical equipment identification image after noise processed to carrying out black white binarization processing, specially：
(1) electrical equipment identification image overall situation gray threshold E is set1：
<mrow>
<msub>
<mi>E</mi>
<mn>1</mn>
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<mo>=</mo>
<mi>s</mi>
<mi>u</mi>
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<mo>{</mo>
<mi>&omega;</mi>
<mo>|</mo>
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In formula, E1The global gray threshold of setting is represented, sup (ω) represents setIt is upper
True boundary, hist [v] represent remove noise processed after electrical equipment identification image grey level histogram in gray value be v pixel quantity,Represent except gray value is less than or equal to ω pixel in the electrical equipment identification image grey level histogram after noise processed
Quantity, A represent electrical equipment identification image pixel total quantity.
(2) the local gray level threshold value based on each pixel in electrical equipment identification image is obtained, using self-defined local gray level threshold value
Obtaining function is：
Wherein,
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</mrow>
In formula, E3The local gray level threshold value of (m, n) expression pixel (m, n), and Q ' (m+m ', n+n ') represent pixel (m+m ', n+
N ') gray reference value, m ' and n ' represent pixel (m+m ', n+n ') to the horizontal range of pixel (m, n) and vertical respectively
Distance, m ', The range factor of setting is represented,Represent with picture
Size centered on vegetarian refreshments (m, n) isWindow in pixel gray reference value intermediate value, Qb
(m, n) and Qs(m, n) represent respectively size using centered on pixel (m, n) asWindow in
Greatly and minimum, U (m+m ', n+n ') represents the gray value of pixel (m+m ', n+n ') for the gray scale of pixel.
(3) according to global gray threshold and pixel local gray level threshold value, to being carried out except the electrical equipment identification image after noise processed
Black white binarization processing, it is specially：
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2
In formula, C (m, n) represents the black white binarization result of pixel (m, n), C2(m, n) represents that local black white binarization judges knot
Fruit, U (m, n) represent the gray value of pixel (m, n), E1Represent global gray threshold, E3(m, n) represents the office of pixel (m, n)
Portion's gray threshold, α represent the global gray scale factor of setting, α ∈ [0.2,0.4], Qb(m, n) and Qs(m, n) represents with pixel respectively
Size centered on point (m, n) isWindow in pixel gray scale greatly and minimum,Table
Show the range factor of setting.
(4) gray value for the pixel that binaryzation result is 1 is arranged to 255, the gray scale for the pixel that binaryzation result is 0
Value is arranged to 0.
8. the remote control according to claim 7 based on the identification of intelligent domestic system electrical equipment, it is characterized in that, the mark carries
Take unit to be used to be partitioned into accurate identification image in characteristic image, be specially：
(1) a definition region R is chosen in the R of characteristic image region0, wherein R0∈ R, definition region R is represented with γ0Border
Curve；
(2) level set function is initialized
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<mi>L</mi>
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<mo>(</mo>
<mi>m</mi>
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In formula,The level set function of expression pixel (m, n) initialization, (m, n) ∈ R, L (m, n) expression pixel (m,
N) definition region R is arrived0Boundary curve γ Euclidean distance, (m, n) ∈ R0Represent pixel (m, n) in definition region R0It is interior,
(m, n) ∈ γ represent pixel (m, n) in domain R0Boundary curve γ on, (m, n) ∈ R-R0Represent that pixel (m, n) exists
Definition region R0Outside；
(3) developed using self-defined evolution function pair level set function, self-defined evolution function is：
In formula,Level set function after expression pixel (m, n) evolution, (m, n) ∈ R,Represent pixel
The current level set function of point (m, n), μ and λ are respectively the inside and outside energy factors set, and d (m, n) is represented
The curvature of pixel (m, n) level set curved surface, Represent Dirac function,θ represents the narrow-band threshold of setting,
The variable gray scale weight coefficient of pixel (m, n) is represented, for controlling boundary curve γ to believe in evolutionary process according to image
Breath adaptively determines inwardly and outwardly to move, and R (m, n) represents the gray value of pixel (m, n), RhRepresent mark location area
The average gray value in domain,Represent the weight coefficient factor of setting, for adapting to different edge demands, Δ t represent to develop when
Between step-length；
(4) check whether evolution curve reaches stable state, do not reach stable also if developing, repeat step (3)；If develop
Through reaching stable state, then stop developing and obtaining the contour curve that the boundary curve γ ' after developing identifies as electrical equipment；
(5) contour curve identified according to electrical equipment is partitioned into accurate identification image.
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