CN107272083B - Intelligent safety inspection method in a kind of home life - Google Patents
Intelligent safety inspection method in a kind of home life Download PDFInfo
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- CN107272083B CN107272083B CN201710654161.6A CN201710654161A CN107272083B CN 107272083 B CN107272083 B CN 107272083B CN 201710654161 A CN201710654161 A CN 201710654161A CN 107272083 B CN107272083 B CN 107272083B
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000007689 inspection Methods 0.000 title claims abstract description 9
- 238000001514 detection method Methods 0.000 claims abstract description 23
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- 238000006731 degradation reaction Methods 0.000 claims description 8
- 238000012935 Averaging Methods 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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Abstract
The present invention relates to intelligent safety inspection method, this method in a kind of home life to include：There is provided and use smart home safety check auxiliary system.The smart home safety check auxiliary system includes household carpet, sound detection equipment, ultrasonic detecting equipment and user-identification device, the household carpet is arranged on room main entrance rear, for reducing Migrant women to dust caused by room, the sound detection equipment is arranged on room main entrance, nearby it whether there is voice for detecting, and there are during voice, send the first human testing signal；Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right sides of the household carpet, for detecting whether there is Migrant women to enter room, and when having detected that Migrant women enters room, sends the second human testing signal.By means of the invention it is possible to the safety of powerful guarantee domestic environment.
Description
Technical field
The present invention relates to intelligent safety inspection method in carpet applications, more particularly to a kind of home life.
Background technology
Carpet can be added in any family as feature and decoration.It is keep house cleaning, as appoint
What room is interspersed, to increase its beauty.
But one it is main the problem of, some carpets, it is easy to move around, accident may be caused, for staying in house
People.In fact, according to statistics, it is frequent thing that carpet, which skids, accident at home occurs when it is related to such case.This
It is exactly why it is extremely important, how keeps carpet non-slip, prevents any unnecessary unexpected generation in your family.
There are many different modes, keep the stable position of carpet.Firstth, it is common using two-sided tape, two-sided tape picture
Adhesive tape, but both sides are all attached to, what can be done is two-sided tape is sticked to carpet one jiao, if carpet still can be a little
It is sliding, try some bands being sticked to centre, be allowed to safer；2nd, can be stablized using rubber ring, rubber ring, circular carpet will
About 9 are needed, 12 are square or rectangular carpet, and rubber ring gets up, and allows it to dry.3rd, using non-slip mat, Ke Yicong
These non-slip mats are bought in furniture shop or decorate home shop.These are actually by prevent furniture or carpet from skidding or walking about.
The content of the invention
Carpet function of the prior art is single, only walks for people, can not realize other miscellaneous functions.In order to solve
The above problem, the present invention provides intelligent safety inspection method in a kind of home life, room main entrance rear is arranged on by household carpet,
For reducing Migrant women to dust caused by room, sound detection equipment is arranged on room main entrance, it is attached for detecting
It is near to whether there is voice, and there are during voice, send the first human testing signal；Wherein, the ultrasonic detecting equipment is set
Put at room main entrance rear and positioned at the left and right sides of the household carpet, for detecting whether there is Migrant women to enter room,
And when having detected that Migrant women enters room, the second human testing signal is sent, by using targetedly at image
Equipment is managed when successfully identifying targeted customer's numbering, to send kinsfolk's entering signal, targeted customer's numbering can not obtained
When, send Migrant women entering signal.
According to an aspect of the present invention, there is provided intelligent safety inspection method, this method include in a kind of home life：
1) a kind of smart home safety check auxiliary system is provided, including household carpet, sound detection equipment, ultrasound examination are set
Standby and user-identification device, the household carpet are arranged on room main entrance rear, room are brought for reducing Migrant women
Dust, the sound detection equipment is arranged on room main entrance, nearby whether there is voice for detecting, and there are voice
When, send the first human testing signal；
Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right two of the household carpet
Side, for detecting whether there is Migrant women to enter room, and when having detected that Migrant women enters room, sends the second human body
Detect signal；And
2) auxiliary system is used.
More specifically, in the smart home safety check auxiliary system：The sound detection equipment is being not detected by voice
When, send no human voice signal；Wherein, the ultrasonic detecting equipment is connected with the sound detection equipment, for receiving
During the first human testing signal, enter operating mode from battery saving mode.
More specifically, in the smart home safety check auxiliary system：The ultrasonic detecting equipment is additionally operable to receiving
During to the no human voice signal, enter battery saving mode from operating mode.
More specifically, in the smart home safety check auxiliary system：The user-identification device is examined with the ultrasonic wave
Measurement equipment connects, for when receiving the second human testing signal, entering operating mode from battery saving mode；Wherein, it is described super
Acoustic wave detection devices send no Migrant women signal when being not detected by Migrant women and entering room；Wherein, the user knows
Other equipment is additionally operable to when receiving the no Migrant women signal, enters battery saving mode from operating mode.
More specifically, in the smart home safety check auxiliary system, further include：Multilayer strengthens equipment, with image averaging
Equipment connects, and image is equalized for receiving, and is determined based on goal-selling gray threshold scope every in the equalization image
Whether one pixel belongs to object pixel, and all object pixels composition preliminary aim region in the equalization image carries
The gray value grade of all pixels in preliminary region improves image to obtain contrast in the high equalization image, described in enhancing
Contrast improves the highlights region in image, while reduces the dark portion region in the contrast raising image, to obtain target
Strengthen image, picture smooth treatment is carried out to the targets improvement image to obtain multilayer enhancing image；
Multiple ccd sensors, it is multiple to obtain for carrying out image data acquiring to the Migrant women for entering room at the same time
Alternative image；Wherein, the multiple ccd sensor is set up in parallel；Image removal equipment, respectively with the multiple ccd sensor
Connection, for being detected to the degradation of the multiple alternative image, will reject degradation and is less than default degradation
Each alternative image after each alternative image of threshold value is exported as each image to be averaged；Image averaging equipment, it is and described
Image removal equipment connect, for receiving each image to be averaged, and be averaged to each image to be averaged with
Obtain and export equalization image.
More specifically, in the smart home safety check auxiliary system, further include：
Noise analysis equipment, is connected with multilayer enhancing equipment, for receiving the multilayer enhancing image, to described more
Layer enhancing image carry out noise type analysis with determine the noise type of the noise amplitude maximum in multilayer enhancing image with
Exported as main noise type；Stencil-chosen equipment, is connected with the noise analysis equipment, for receiving the main noise
Type, and medium filtering template is determined based on the main noise type；Contour detecting equipment, connects with the noise analysis equipment
Connect, for judging the objective contour in the multilayer enhancing image；
Differentiation filter apparatus, is connected with the stencil-chosen equipment and the contour detecting equipment, for group respectively
Into each contour pixel of the objective contour, based on the medium filtering template according to the medium filtering window centered on it
Pixel distribution in mouthful determines different filtering strategies, it is described based on the medium filtering template according to the intermediate value centered on it
Pixel distribution in filter window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than
During equal to non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the profile
The pixel value of pixel, when the object pixel quantity in medium filtering window is less than the non-targeted pixel quantity in medium filtering window
When, take pixel value of the average as the contour pixel of the pixel value of each non-targeted pixel；
CF storage chips, for storing default human body gray threshold scope and default hair gray scale threshold range, wherein, institute
Stating default human body gray threshold scope includes human body gray scale upper limit threshold and human body gray scale lower threshold, the default hair gray scale
Threshold range includes hair gray scale upper limit threshold and hair gray scale lower threshold；
Human body detecting device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is identified from the differentiation filtering image based on the default human body gray threshold scope and is partitioned into people
Body subgraph；Hair detection device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is identified and split from the differentiation filtering image based on the default hair gray scale threshold range and lifted one's head
Send out subgraph；
The user-identification device is connected with the human body detecting device and the hair detection device respectively, for from institute
The human body subgraph that each pixel for forming the hair subgraph is removed in human body subgraph with after being handled is stated, and is based on
Human body subgraph after the processing identifies that corresponding Customs Assigned Number is exported to be numbered as targeted customer；
Wherein, the differentiation filter apparatus, which is additionally operable to strengthen in image the multilayer, is not belonging to the objective contour
Each non-contour pixel, based on the medium filtering template according to all pixels in the medium filtering window centered on it
Pixel value pixel value of the average as the non-contour pixel；The differentiation filter apparatus output differentiation filtering figure
Picture；The user-identification device sends kinsfolk's entering signal, the user-identification device when obtaining targeted customer's numbering
When targeted customer's numbering can not be obtained, Migrant women entering signal is sent.
More specifically, in the smart home safety check auxiliary system：Noise type bag in the multilayer enhancing image
Include the internal noise of sensitive components generation, the interference noise of transmission channel, the electrical machinery jittering noise that brings of movement and
Grain noise caused by photosensitive material.
More specifically, in the smart home safety check auxiliary system：The human body gray scale upper limit threshold, human body ash
Lower threshold, the hair gray scale upper limit threshold and hair gray scale lower threshold all values are spent between 0-255.
Brief description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram of the smart home safety check auxiliary system according to embodiment of the present invention.
Reference numeral：1 household carpet；2 sound detection equipments；3 ultrasonic detecting equipments；4 user-identification devices
Embodiment
The embodiment of the smart home safety check auxiliary system of the present invention is described in detail below with reference to accompanying drawings.
Anti-slip carpet needs to have following attribute：One：Its Facing material of material is blended chemical ＆ blended fabric, is chemical fine
Dimension and other cotton wools, silk, the textile product that the mixing spinning of the natural fiber such as fiber crops is made into, elasticity and wearability be all in the case of dry and wet
It is relatively good.Two：The carpet reverse side of design style has anti-skidding particle, had not only highlighted the style of body wheel but also had had the length of cotton fabric
Place.
Currently, carpet lacks expansible miscellaneous function, such as the auxiliary mechanism of integrated security inspection.It is above-mentioned in order to overcome
Deficiency, the present invention, which has built intelligent safety inspection method, this method in a kind of home life, to be included：1) a kind of smart home safety check is provided
Auxiliary system；And 2) use the auxiliary system.Fig. 1 is the smart home safety check auxiliary according to embodiment of the present invention
The block diagram of system, the system comprises household carpet, sound detection equipment, ultrasonic detecting equipment and user identification to set
It is standby.
Wherein, the household carpet is arranged on room main entrance rear, for reducing Migrant women to grey caused by room
Dirt, the sound detection equipment are arranged on room main entrance, nearby whether there is voice for detecting, and there are during voice,
Send the first human testing signal；
Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right two of the household carpet
Side, for detecting whether there is Migrant women to enter room, and when having detected that Migrant women enters room, sends the second human body
Detect signal.
Then, continue that the concrete structure of the smart home safety check auxiliary system of the present invention is further detailed.
In the smart home safety check auxiliary system：
The sound detection equipment sends no human voice signal when being not detected by voice；
Wherein, the ultrasonic detecting equipment is connected with the sound detection equipment, for receive it is described the first
When signal is surveyed in physical examination, enter operating mode from battery saving mode.
In the smart home safety check auxiliary system：
The ultrasonic detecting equipment is additionally operable to when receiving the no human voice signal, enters power saving mould from operating mode
Formula.
In the smart home safety check auxiliary system：
The user-identification device is connected with the ultrasonic detecting equipment, for receiving the second human testing signal
When, enter operating mode from battery saving mode；
Wherein, the ultrasonic detecting equipment sends no Migrant women when being not detected by Migrant women and entering room
Signal；
Wherein, the user-identification device is additionally operable to when receiving the no Migrant women signal, from operating mode into
Enter battery saving mode.
The smart home safety check auxiliary system can also include：
Multilayer strengthens equipment, is connected with image averaging equipment, image is equalized for receiving, based on goal-selling gray scale threshold
Value scope determines whether each pixel in the equalization image belongs to object pixel, by the institute in the equalization image
Preliminary aim region is formed by object pixel, improves the gray value grade of all pixels in preliminary region in the equalization image
Image is improved to obtain contrast, strengthens the highlights region in the contrast raising image, while reduce the contrast and carry
Dark portion region in hi-vision, to obtain targets improvement image, carries out picture smooth treatment to obtain to the targets improvement image
Obtain multilayer enhancing image；
Multiple ccd sensors, it is multiple to obtain for carrying out image data acquiring to the Migrant women for entering room at the same time
Alternative image；Wherein, the multiple ccd sensor is set up in parallel；
Image removal equipment, is connected with the multiple ccd sensor respectively, for the deterioration to the multiple alternative image
Degree is detected, and will reject each alternative image after degradation is less than each alternative image of default degradation threshold value
Exported as each image to be averaged；
Image averaging equipment, is connected with described image removal equipment, for receiving each image to be averaged, and to institute
Each image to be averaged is stated to be averaged to obtain and export equalization image.
The smart home safety check auxiliary system can also include：
Noise analysis equipment, is connected with multilayer enhancing equipment, for receiving the multilayer enhancing image, to described more
Layer enhancing image carry out noise type analysis with determine the noise type of the noise amplitude maximum in multilayer enhancing image with
Exported as main noise type；
Stencil-chosen equipment, is connected with the noise analysis equipment, for receiving the main noise type, and is based on institute
State main noise type and determine medium filtering template；
Contour detecting equipment, is connected with the noise analysis equipment, for judging the target in the multilayer enhancing image
Profile；
Differentiation filter apparatus, is connected with the stencil-chosen equipment and the contour detecting equipment, for group respectively
Into each contour pixel of the objective contour, based on the medium filtering template according to the medium filtering window centered on it
Pixel distribution in mouthful determines different filtering strategies, it is described based on the medium filtering template according to the intermediate value centered on it
Pixel distribution in filter window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than
During equal to non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the profile
The pixel value of pixel, when the object pixel quantity in medium filtering window is less than the non-targeted pixel quantity in medium filtering window
When, take pixel value of the average as the contour pixel of the pixel value of each non-targeted pixel；
CF storage chips, for storing default human body gray threshold scope and default hair gray scale threshold range, wherein, institute
Stating default human body gray threshold scope includes human body gray scale upper limit threshold and human body gray scale lower threshold, the default hair gray scale
Threshold range includes hair gray scale upper limit threshold and hair gray scale lower threshold；
Human body detecting device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is identified from the differentiation filtering image based on the default human body gray threshold scope and is partitioned into people
Body subgraph；
Hair detection device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving difference respectively
Alienation filtering image, is identified and split from the differentiation filtering image based on the default hair gray scale threshold range and lifted one's head
Send out subgraph；
The user-identification device is connected with the human body detecting device and the hair detection device respectively, for from institute
The human body subgraph that each pixel for forming the hair subgraph is removed in human body subgraph with after being handled is stated, and is based on
Human body subgraph after the processing identifies that corresponding Customs Assigned Number is exported to be numbered as targeted customer；
Wherein, the differentiation filter apparatus, which is additionally operable to strengthen in image the multilayer, is not belonging to the objective contour
Each non-contour pixel, based on the medium filtering template according to all pixels in the medium filtering window centered on it
Pixel value pixel value of the average as the non-contour pixel；The differentiation filter apparatus output differentiation filtering figure
Picture；
Wherein, the user-identification device sends kinsfolk's entering signal, the use when obtaining targeted customer's numbering
Family identification equipment sends Migrant women entering signal when that can not obtain targeted customer's numbering.
In the smart home safety check auxiliary system：
Noise type in multilayer enhancing image include the internal noise that sensitive components produces, transmission channel it is dry
Disturb noise, electrical machinery moves grain noise caused by the jittering noise and photosensitive material brought.
In the smart home safety check auxiliary system：
The human body gray scale upper limit threshold, the human body gray scale lower threshold, the hair gray scale upper limit threshold and described
Hair gray scale lower threshold all values are between 0-255.
In addition, image filtering, i.e., press down the noise of target image under conditions of image detail feature is retained as far as possible
System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide
The validity and reliability of analysis.
Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
Often polluted in journey be subject to a variety of noises.In addition, some links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one and cause the isolated of stronger visual effect on the image
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration,
The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of wave filter for effectively suppressing noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One kind in common image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when composing aliasing or when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, such as Fourier conversion, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for causing the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Smart home safety check auxiliary system using the present invention, can not realize that safety check aids in work(for carpet in the prior art
The technical problem of energy, is numbered by introducing various image processing equipments with accurately detecting the targeted customer of human body above carpet,
When successfully recognizing targeted customer's numbering, kinsfolk's entrance is regarded as, when targeted customer's numbering can not be obtained, is sent external
Personnel's entering signal, so as to fulfill safety check miscellaneous function.
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. intelligent safety inspection method, this method include in a kind of home life：
1）A kind of smart home safety check auxiliary system is provided；
2）Use the auxiliary system；
The auxiliary system includes：
Household carpet, sound detection equipment, ultrasonic detecting equipment and user-identification device, the household carpet are arranged on room
Main entrance rear, is arranged on room main entrance dust caused by room, the sound detection equipment for reducing Migrant women,
Nearby it whether there is voice for detecting, and there are during voice, send the first human testing signal；
Wherein, the ultrasonic detecting equipment is arranged on room main entrance rear and positioned at the left and right sides of the household carpet, uses
In having detected whether that Migrant women enters room, and when having detected that Migrant women enters room, send the second human testing
Signal；And
The sound detection equipment sends no human voice signal when being not detected by voice；
Wherein, the ultrasonic detecting equipment is connected with the sound detection equipment, for receiving the first physical examination
When surveying signal, enter operating mode from battery saving mode；
The ultrasonic detecting equipment is additionally operable to when receiving the no human voice signal, enters battery saving mode from operating mode；
The user-identification device is connected with the ultrasonic detecting equipment, for when receiving the second human testing signal,
Enter operating mode from battery saving mode；
Wherein, the ultrasonic detecting equipment sends no Migrant women signal when being not detected by Migrant women and entering room；
Wherein, the user-identification device is additionally operable to when receiving the no Migrant women signal, is entered from operating mode and is saved
Power mode；
Multilayer strengthens equipment, is connected with image averaging equipment, image is equalized for receiving, based on goal-selling gray threshold model
Whether each pixel enclosed in the definite equalization image belongs to object pixel, by all mesh in the equalization image
Pixel composition preliminary aim region is marked, improves the gray value grade for equalizing all pixels in preliminary region in image to obtain
Obtain contrast and improve image, strengthen the highlights region in the contrast raising image, while reduce the contrast raising figure
Dark portion region as in, to obtain targets improvement image, it is more to obtain to carry out picture smooth treatment to the targets improvement image
Layer enhancing image；
Multiple ccd sensors, it is multiple alternative to obtain for carrying out image data acquiring to the Migrant women for entering room at the same time
Image；Wherein, the multiple ccd sensor is set up in parallel；
Image removal equipment, is connected with the multiple ccd sensor respectively, for the degradation to the multiple alternative image
Be detected, will reject degradation be less than each alternative image after each alternative image of default degradation threshold value as
Each image output to be averaged；
Image averaging equipment, is connected with described image removal equipment, for receiving each image to be averaged, and to described each
A image to be averaged is averaged to obtain and export equalization image；
It is characterized in that, the auxiliary system further includes：
Noise analysis equipment, is connected with multilayer enhancing equipment, and for receiving the multilayer enhancing image, the multilayer is increased
Strong image carry out noise type analysis with determine the noise type of the noise amplitude maximum in the multilayer enhancing image using as
Main noise type exports；
Stencil-chosen equipment, is connected with the noise analysis equipment, for receiving the main noise type, and is based on the master
Noise type is wanted to determine medium filtering template；
Contour detecting equipment, is connected with the noise analysis equipment, for judging the objective contour in the multilayer enhancing image；
Differentiation filter apparatus, is connected with the stencil-chosen equipment and the contour detecting equipment respectively, for forming institute
Each contour pixel of objective contour is stated, based on the medium filtering template according in the medium filtering window centered on it
Pixel distribution determine different filtering strategies, it is described based on the medium filtering template according to the medium filtering centered on it
Pixel distribution in window determines that different filtering strategies include：When the object pixel quantity in medium filtering window is more than or equal to
During non-targeted pixel quantity in medium filtering window, the average of pixel value of each object pixel is taken as the contour pixel
Pixel value, when the object pixel quantity in medium filtering window be less than medium filtering window in non-targeted pixel quantity when,
Take pixel value of the average of the pixel value of each non-targeted pixel as the contour pixel；
CF storage chips, for storing default human body gray threshold scope and default hair gray scale threshold range, wherein, it is described pre-
If human body gray threshold scope includes human body gray scale upper limit threshold and human body gray scale lower threshold, the default hair gray threshold
Scope includes hair gray scale upper limit threshold and hair gray scale lower threshold；
Human body detecting device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving differentiation respectively
Filtering image, is identified from the differentiation filtering image based on the default human body gray threshold scope and is partitioned into human body
Image；
Hair detection device, is connected with the differentiation filter apparatus and the CF storage chips, for receiving differentiation respectively
Filtering image, is identified from the differentiation filtering image based on the default hair gray scale threshold range and is partitioned into hair
Image；
The user-identification device is connected with the human body detecting device and the hair detection device respectively, for from the people
The human body subgraph for forming each pixel of the hair subgraph with after handle is removed in body subgraph, and based on described in
Human body subgraph after processing identifies that corresponding Customs Assigned Number is exported to be numbered as targeted customer；
Wherein, the differentiation filter apparatus, which is additionally operable to strengthen in image the multilayer, is not belonging to each of the objective contour
A non-contour pixel, the picture based on the medium filtering template according to all pixels in the medium filtering window centered on it
Pixel value of the average of element value as the non-contour pixel；
Wherein, the differentiation filter apparatus output differentiation filtering image；
Wherein, the user-identification device sends kinsfolk's entering signal when obtaining targeted customer's numbering, and the user knows
Other equipment sends Migrant women entering signal when that can not obtain targeted customer's numbering.
2. the method as described in claim 1, it is characterised in that：
The interference that noise type in the multilayer enhancing image includes internal noise, transmission channel that sensitive components produces is made an uproar
Grain noise caused by the jittering noise and photosensitive material that sound, electrical machinery movement are brought.
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| CN201711202005.2A CN107831555A (en) | 2017-08-03 | 2017-08-03 | Intelligent safety inspection method in a kind of life staying idle at home |
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| CN107832717A (en) * | 2017-11-15 | 2018-03-23 | 周小凤 | router security protective platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109310222A (en) * | 2017-12-04 | 2019-02-05 | 深圳和而泰智能控制股份有限公司 | A kind of intelligent floor mat |
| CN109255789B (en) * | 2018-07-26 | 2020-08-25 | 上海广播电视信息网络有限公司 | Image segmentation system based on computer processing |
| EP3796140B1 (en) * | 2019-09-18 | 2024-05-22 | Semtech Corporation | Proximity sensor with nonlinear filter and method |
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| CN107272083A (en) | 2017-10-20 |
| CN107831555A (en) | 2018-03-23 |
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