CN107835081B - Differentiate the automation equipment of validated user - Google Patents
Differentiate the automation equipment of validated user Download PDFInfo
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- CN107835081B CN107835081B CN201711323716.5A CN201711323716A CN107835081B CN 107835081 B CN107835081 B CN 107835081B CN 201711323716 A CN201711323716 A CN 201711323716A CN 107835081 B CN107835081 B CN 107835081B
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47G—HOUSEHOLD OR TABLE EQUIPMENT
- A47G9/00—Bed-covers; Counterpanes; Travelling rugs; Sleeping rugs; Sleeping bags; Pillows
- A47G9/08—Sleeping bags
-
- 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
-
- 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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
- H04L9/3231—Biological data, e.g. fingerprint, voice or retina
Abstract
The present invention relates to a kind of automation equipments differentiating validated user, including sleeping bag body frame structure, slide fastener control device, personnel inspection equipment, wireless transmitting-receiving equipments and video capture device, sleeping bag body frame structure includes pillow component, upper drape face, lower covering cloth cover and longitudinal slide fastener, the upper drape face and the lower covering cloth cover for being combined as a whole by the longitudinal direction slide fastener under tightening state, the pillow component is connect with the top of the upper surface of the lower covering cloth cover, the slide fastener control device is connect with longitudinal slide fastener of the sleeping bag body frame structure, when receiving tightening control signal, automatic tightening is the upper drape face and the lower covering cloth cover to be combined as a whole.By means of the invention it is possible to effectively avoid as used in other people.
Description
It is on July 31st, 2017, entitled " discriminating that the present invention, which is application No. is the 201710636009.5, applying date,
The divisional application of the patent of the automation equipment of validated user ".
Technical field
The present invention relates to sleeping bag field more particularly to a kind of automation equipments differentiating validated user.
Background technology
Sleeping bag is exactly sack during sleep, is increased with the crowd of mountain climbing expedition, the market of sleeping bag is also increasing.
Most sleeping bags has the mark of comfort temperature and limiting temperature currently on the market, and comfort temperature is that user is sleeping whole night
Series of temperature in dormancy has highest and lowest limit.Highest comfort temperature refers to feeling heat in sleeping bag but can't not be largely
That heat of sweat, the general situation that defines are opened for sleeping bag slide fastener, and arm is placed on outside, and sleeping bag head is not tightened.
Sleeping bag in the prior art is served only for providing heat insulation function, therefore the energy of the manufacturer of sleeping bag all concentrates on sleeping bag
Coverstock material, filler material etc. research and development and design on, and ground into depth for the security performance of sleeping bag is useless
Study carefully.For example, when the user of non-sleeping bag owner wants to agree to without sleeping bag owner using sleeping bag, sleeping bag is can also use,
This will affect the privacy of sleeping bag owner, also be interfered to the sanitary conditions in sleeping bag.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of automation equipment differentiating validated user, first, optimization is slept
Bag inside structure so that sleeping bag body frame structure include pillow component, upper drape face, lower covering cloth cover and longitudinal direction slide fastener, it is described
The upper drape face and the lower covering cloth cover for being combined as a whole by longitudinal slide fastener under tightening state, secondly, introduces
The image processing equipment of the customizations such as differentiation filter apparatus and multilayer enhancing equipment is to will use the user of sleeping bag to reflect
Power wherein introducing the image recognition pattern of headwear, and when it is validated user name to determine existing object name, sends out drawing
Control signal is opened, so that slide fastener control device automatically separates the upper drape face and the lower covering cloth cover, to only
Allow validated user normal use sleeping bag.
According to an aspect of the present invention, a kind of automation equipment differentiating validated user is provided, the sleeping bag includes sleeping
Bag body frame structure, slide fastener control device, personnel inspection equipment, wireless transmitting-receiving equipments and video capture device, sleeping bag body frame structure include
Pillow component, upper drape face, lower covering cloth cover and longitudinal slide fastener, the longitudinal direction slide fastener is used for will be described under tightening state
Covering cloth cover and the lower covering cloth cover are combined as a whole, the top of the pillow component and the upper surface of the lower covering cloth cover
Connection；Wherein, the slide fastener control device is connect with longitudinal slide fastener of the sleeping bag body frame structure, is receiving tightening control signal
When, automatic tightening is the upper drape face and the lower covering cloth cover to be combined as a whole.
More specifically, in the automation equipment for differentiating validated user, further include：TF storage cards, for depositing in advance
Clarity threshold and default fractional threshold are preset in storage；The video capture device is used to regard scene where sleeping bag body frame structure
Frequency is according to acquisition to obtain each target image frame in prefixed time interval；The prefixed time interval is pre-stored in institute
It states in TF storage cards.
More specifically, in the automation equipment for differentiating validated user：The personnel inspection equipment is used to be based on institute
State video capture device output content determine sleeping bag body frame structure where personnel's name in scene using as existing object name
Output；Wherein, the wireless transmitting-receiving equipments are connect with the personnel inspection equipment, for receiving the existing object name and inciting somebody to action
The existing object name is wirelessly sent to the server at the urgent care centre of distal end.
More specifically, in the automation equipment for differentiating validated user：The personnel inspection equipment is additionally operable in institute
State existing object name be illegal address name when, send out tightening control signal, be additionally operable to be in the existing object name
When validated user name, sends out and pull open control signal；Wherein, the slide fastener control device is connect with the personnel inspection equipment,
When for pulling open control signal described in receiving, the upper drape face and the lower covering cloth cover are separated automatically；It is described
Wireless transmitting-receiving equipments are additionally operable to, when receiving tightening control signal, warning message corresponding with tightening control signal be sent out
Give the server at the urgent care centre of distal end.
More specifically, in the automation equipment for differentiating validated user, further include：Interference peak detection device, with
The TF storage cards connection, for receiving differentiation filtering image, determines the grey level histogram of the differentiation filtering image, obtains
Multiple peak values in the ordinate direction in the grey level histogram are taken, amplitude in multiple peak values are less than or equal to described default dry
Disturb the peak values of amplitude thresholds and be all used as interference peak, gone from multiple peak values unless each interference peak to obtain one or more ginsengs
Examine peak value；Self-adaption binaryzation processing equipment is connect with the interference peak detection device, for one or more reference peaks
Value average processing to obtain equalization peak value, and by the grey level histogram, value in ordinate direction is close to institute
The tonal gradation on the abscissa corresponding to equalization peak value is stated as binary-state threshold, is additionally operable to be directed to differentiation filtering image
In each pixel pixel value, pixel value is more than or equal to the binary-state threshold, will using its pixel value as 255
Pixel value is less than the binary-state threshold, using its pixel value as 0, to obtain adaptive bianry image.
More specifically, in the automation equipment for differentiating validated user, further include：Clarity detection device, with institute
Video capture device connection is stated, for receiving each target image frame, and determines the clarity of each target image frame；Image
Compare equipment, connect respectively with the TF storage cards and the clarity detection device, for obtain each target image frame with
And the clarity of each target image frame, clarity is removed from each target image frame is less than or equal to default clarity threshold
One or more target image frames of value are to obtain each alternate image frame；Image output device, respectively with the TF storage cards
Compare equipment with described image to connect, noise is removed for receiving each alternate image frame, and from each alternate image frame
Than obtaining each final image frame less than or equal to one or more alternate image frames of default fractional threshold, to each final figure
As frame carries out image averaging processing image is equalized to obtain simultaneously output frame.
More specifically, in the automation equipment for differentiating validated user, further include：
Noise analysis equipment equalizes image for receiving frame, and noise type analysis is carried out to frame equalization image
With the maximum noise type of noise amplitude in the determination frame equalization image to be exported as main noise type, wherein
Noise type in frame equalization image include sensitive components generate internal noise, transmission channel interference noise,
Grain noise caused by jittering noise and photosensitive material that electrical machinery movement is brought；Stencil-chosen equipment, with the noise
Analytical equipment connects, and medium filtering template is determined for receiving the main noise type, and based on the main noise type；
Contour detecting equipment is connect with the noise analysis equipment, for judging the objective contour in the frame equalization image；
Differentiation filter apparatus is connect with the stencil-chosen equipment and the contour detecting equipment respectively, for group
At 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 objective contour pixel quantity in medium filtering window
When more than or equal to non-targeted contour pixel quantity in medium filtering window, the mean value of the pixel value of each objective contour pixel is taken
As the pixel value of the contour pixel, when the objective contour pixel quantity in medium filtering window is less than in medium filtering window
Non-targeted contour pixel quantity when, take picture of the mean value of the pixel value of each non-targeted contour pixel as the contour pixel
Element value；
Multilayer enhances equipment, for receiving adaptive bianry image, described in the determination of goal-selling gray threshold range
Whether each pixel in adaptive bianry image belongs to objective contour pixel, will be all in the adaptive bianry image
Objective contour pixel forms preliminary aim region, improves the gray scale of all pixels in preliminary region in the adaptive bianry image
Value grade improves image to obtain contrast, enhances the contrast and improves highlights region in image, at the same reduce it is described right
The dark portion region in image is improved than degree, to obtain targets improvement image, the targets improvement image is carried out at image smoothing
Reason enhances image to obtain multilayer；
Facial recognition device enhances image for receiving multilayer, identifies and divides from multilayer enhancing image and appears
Portion's subgraph；Headwear identification equipment identifies and divides from the facial subgraph and lift one's head for receiving the facial subgraph
Adorn subgraph；Image separation equipment is connect respectively with the facial recognition device and the headwear identification equipment, for receiving
Facial subgraph and the headwear subgraph are stated, and detaches the headwear subgraph will detach from the facial subgraph
Facial subgraph after the headwear subgraph, which is used as, goes headwear subgraph to export；
Wherein, the differentiation filter apparatus, which is additionally operable to equalize in image the frame, 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 mean value as the non-contour pixel；The differentiation filter apparatus output differentiation filtering figure
Picture；The personnel inspection equipment connect with described image separation equipment, for receive it is described remove headwear subgraph, and based on described
Headwear subgraph is gone to determine corresponding personnel's name to be exported as existing object name.
More specifically, in the automation equipment for differentiating validated user：The TF storage cards are also examined with interference peak
Measurement equipment connects, for prestoring default noise amplitudes threshold value.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram according to the automation equipment of the discriminating validated user shown in embodiment of the present invention.
Reference numeral：1 sleeping bag body frame structure；2 slide fastener control devices；3 personnel inspection equipments；4 wireless transmitting-receiving equipments；5 videos
Collecting device
Specific implementation mode
The embodiment of the automation equipment of the discriminating validated user of the present invention is carried out specifically below with reference to accompanying drawings
It is bright.
The early stage mankind are that the cushion used when clothing and the sleep of keep warm is made of animal skin, are wrapped so far
The Eskimos to live near the arctic is included, still there are people using.19 beginning of the century explorers and alpinists start to not
Same sleeping bag system is tested, and the sleeping bag of early stage is filled by the camel hair with excellent heat-insulating property, invented thereafter again in
Empty rubber air mattress, and explore for the earth pole of the twenties in 18th century.Francis Fox Tuckett tests in 1861
First Alps sleeping bag prototype, the mid-1960s envelope type sleeping rug design of 18th century starts to tend to be perfect, and approaches
Above ground portion has hollow rubber coating as ground thermal insulation layer.
Natural feather is more in the dimension of Britain because being widely used for filling mattress in 19 beginnings of the century with good thermal insulation properties
Leah queen's epoch, womankind even skirt internal layer filling natural feather it is warming to keep out the cold, but the processing of natural feather and use technology
19th century mid-term just start to develop, it is that the ALFRED MUMMERY in 1892 for Britain are visited early to have the down-filled sleeping bag of record
Dangerous troop manufactures from the sleeping bag prototype development of Alps alpine club, and by UK furniture company, but this is not
The business sleeping bag of production truly.Ajungilak companies of Norway start to commercially produce sleeping bag within 1890, this period
Sleeping bag is all filled by common bombax flower.Until the twenties in 19th century, sleeping bag is all special product, but due to the outdoor of continuous development
Product market, more companies start to design and produce sleeping bag.It is emerging based on Himalaya exploring and mountaineering
It rises, the 1830's starts to continue to develop and improve the design and making of sleeping bag, and being at this time born can tight body
Mummy formula sleeping bag, Britain alpinist also successfully climbed up Mountain Everest by this sleeping bag.Due to system after the industrial revolution
The development of industry and chemical industry is made, artificial synthesized fiber starts mass production, since synthetic fibers have excellent warmth retention property
It can also begin to be widely used in the production of sleeping bag.
19th century the '30s, go on a hike and campout start to come into vogue in Europe, the demand of outdoor gear is opened
Begin gradually surging.Sleeping bag becomes a kind of commercial product, and production business starts to mark on sleeping bag buying to make things convenient for customers
When can according to oneself carry out select, the temperature scale for just having started mark is very simple, only summer, three seasons and winter
Season, such differentiation mode was relatively rough, can only be selected according to general temperature in use using three kinds of differentiations.Later, some product
The sleeping bag of board starts to provide two temperature scale numerical value：Comfort temperature and limiting temperature.
For many years, the temperature scale of sleeping bag has formd many different criteria for classifying, each standard have supporter and
Opposition person, and the test method of these standards is via the science of the states such as Britain, France, Germany, Norway, the U.S. and Switzerland
Family's development is improved.Although it is comfortable to be all labelled with the suggestion established on the basis of oneself detects at it on the sleeping bag of different brands
Temperature, but this standard is similar in most of high-quality sleeping bag brand.Sleeping bag retailer and buyer understand mark
Note comfort temperature on sleeping bag be establish test out in the ideal case as a result, comfort temperature is past in actual use
Toward wanting the several years on height.
Current sleeping bag research and development concentrate on how improving insulating power and how improving preventing scratching in ability, make to sleeping bag
The identity of user lacks necessary recognition mechanism, is easy to cause sleeping bag owner's privacy and is interfered, influences the normal of sleeping bag owner
It uses.In order to overcome above-mentioned deficiency, the present invention to build a kind of automation equipment differentiating validated user.
Fig. 1 is according to the block diagram of the automation equipment of the discriminating validated user shown in embodiment of the present invention, institute
It includes sleeping bag body frame structure, slide fastener control device, personnel inspection equipment, wireless transmitting-receiving equipments and video capture device to state sleeping bag.
Wherein, sleeping bag body frame structure includes pillow component, upper drape face, lower covering cloth cover and longitudinal slide fastener, the longitudinal direction
Slide fastener for the upper drape face and the lower covering cloth cover to be combined as a whole under tightening state, the pillow component and
The top connection of the upper surface of the lower covering cloth cover.
Wherein, the slide fastener control device is connect with longitudinal slide fastener of the sleeping bag body frame structure, is receiving tightening control
When signal, automatic tightening is the upper drape face and the lower covering cloth cover to be combined as a whole.
Then, the concrete structure for continuing the automation equipment of the discriminating validated user to the present invention carries out further
It is bright.
It is described intelligence sleeping bag can also include：
TF storage cards, for prestoring default clarity threshold and default fractional threshold；
The video capture device is used for when scene carries out video data acquiring to obtain default where sleeping bag body frame structure
Between interval in each target image frame；
Wherein, the prefixed time interval is pre-stored in the TF storage cards.
In the intelligent sleeping bag：
The personnel inspection equipment is used to determine based on the output content of the video capture device where sleeping bag body frame structure
Personnel's name in scene as existing object name to export；
Wherein, the wireless transmitting-receiving equipments are connect with the personnel inspection equipment, for receiving the existing object name
And the existing object name is wirelessly sent to the server at the urgent care centre of distal end.
In the intelligent sleeping bag：
The personnel inspection equipment is additionally operable to, when the existing object name is illegal address name, send out tightening control
Signal processed is additionally operable to, when the existing object name is validated user name, send out and pull open control signal；
Wherein, the slide fastener control device is connect with the personnel inspection equipment, for pulling open control described in receiving
When signal, the upper drape face and the lower covering cloth cover are separated automatically；
Wherein, the wireless transmitting-receiving equipments are additionally operable to, when receiving tightening control signal, to control and believe with the tightening
Number corresponding warning message is sent to the server at the urgent care centre of distal end.
It is described intelligence sleeping bag can also include：
Interference peak detection device is connect with the TF storage cards, for receiving differentiation filtering image, determines the difference
The grey level histogram of alienation filtering image obtains multiple peak values in the ordinate direction in the grey level histogram, will be multiple
The peak value that amplitude is less than or equal to the default noise amplitudes threshold value in peak value removes each all as interference peak from multiple peak values
A interference peak is one or more with reference to peak value to obtain；
Self-adaption binaryzation processing equipment is connect with the interference peak detection device, for being referred to one or more
Peak value average processing to obtain equalization peak value, and by the grey level histogram, the value in ordinate direction is close
The tonal gradation on abscissa corresponding to the equalization peak value is additionally operable to be directed to differentiation filtering figure as binary-state threshold
Pixel value is more than or equal to the binary-state threshold by the pixel value of each pixel as in, using its pixel value as 255,
Pixel value is less than the binary-state threshold, using its pixel value as 0, to obtain adaptive bianry image.
It is described intelligence sleeping bag can also include：
Clarity detection device is connect with the video capture device, for receiving each target image frame, and is determined every
The clarity of one target image frame；
Image compares equipment, is connect respectively with the TF storage cards and the clarity detection device, each for obtaining
The clarity of target image frame and each target image frame, removal clarity is less than or equal to from each target image frame
One or more target image frames of default clarity threshold are to obtain each alternate image frame；
Image output device, equipment connects compared with the TF storage cards and described image respectively, each standby for receiving
With picture frame, and the one or more for being less than or equal to default fractional threshold from each alternate image frame removal signal-to-noise ratio is spare
Picture frame carries out image averaging processing to obtain each final image frame, to each final image frame and is put down with obtaining simultaneously output frame
It is homogenized image.
It is described intelligence sleeping bag can also include：
Noise analysis equipment equalizes image for receiving frame, and noise type analysis is carried out to frame equalization image
With the maximum noise type of noise amplitude in the determination frame equalization image to be exported as main noise type, wherein
Noise type in frame equalization image include sensitive components generate internal noise, transmission channel interference noise,
Grain noise caused by jittering noise and photosensitive material that electrical machinery movement is brought；
Stencil-chosen equipment is connect with the noise analysis equipment, for receiving the main noise type, and is based on institute
It states main noise type and determines medium filtering template；
Contour detecting equipment is connect with the noise analysis equipment, for judging the target in the frame equalization image
Profile；
Differentiation filter apparatus is connect with the stencil-chosen equipment and the contour detecting equipment respectively, for group
At 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 objective contour pixel quantity in medium filtering window
When more than or equal to non-targeted contour pixel quantity in medium filtering window, the mean value of the pixel value of each objective contour pixel is taken
As the pixel value of the contour pixel, when the objective contour pixel quantity in medium filtering window is less than in medium filtering window
Non-targeted contour pixel quantity when, take picture of the mean value of the pixel value of each non-targeted contour pixel as the contour pixel
Element value；
Multilayer enhances equipment, for receiving adaptive bianry image, described in the determination of goal-selling gray threshold range
Whether each pixel in adaptive bianry image belongs to objective contour pixel, will be all in the adaptive bianry image
Objective contour pixel forms preliminary aim region, improves the gray scale of all pixels in preliminary region in the adaptive bianry image
Value grade improves image to obtain contrast, enhances the contrast and improves highlights region in image, at the same reduce it is described right
The dark portion region in image is improved than degree, to obtain targets improvement image, the targets improvement image is carried out at image smoothing
Reason enhances image to obtain multilayer；
Facial recognition device enhances image for receiving multilayer, identifies and divides from multilayer enhancing image and appears
Portion's subgraph；
Headwear identification equipment identifies and divides from the facial subgraph and lift one's head for receiving the facial subgraph
Adorn subgraph；
Image separation equipment is connect respectively with the facial recognition device and the headwear identification equipment, for receiving
Facial subgraph and the headwear subgraph are stated, and detaches the headwear subgraph will detach from the facial subgraph
Facial subgraph after the headwear subgraph, which is used as, goes headwear subgraph to export；
Wherein, the differentiation filter apparatus, which is additionally operable to equalize in image the frame, 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 mean value as the non-contour pixel；
Wherein, the differentiation filter apparatus exports differentiation filtering image；
Wherein, the personnel inspection equipment connect with described image separation equipment, for receive it is described remove headwear subgraph,
And headwear subgraph is gone to determine corresponding personnel's name to be exported as existing object name based on described in.
In the intelligent sleeping bag：
The TF storage cards are also connect with interference peak detection device, for prestoring default noise amplitudes threshold value.
In addition, can also include WIFI communication interfaces in the intelligent sleeping bag.Wherein, wireless router
(Wireless Router) cans be compared to the extended pattern product for being combined into one pure wireless aps and broadband router, he not only has
Standby pure wireless aps institute is functional such as to be supported dhcp client, supports VPN, fire wall, supports WEP encryptions, but also
Include network address translation (NAT) function, the network connection of LAN subscriber can be supported shared.Family wireless network can be achieved
In Internet connections it is shared, realize the wireless sharing access of ADSL, Cable modem and partial wideband.Wireless router
ADSL MODEM or the CABLE MODEM that can be connect with all Ethernets are connected directly, can also when in use by interchanger/
The locals net mode such as hub, broadband router accesses again.It is built-in with simple virtual dial-up software, can store user name
It surfs the Internet with cipher dialing, can be implemented as ADSL, CM of dial-up access Internet etc. and automatic dialing is provided, without hand
One computer of dynamic dialing or occupancy does server use.Prevent in addition, wireless router is generally also equipped with relatively more perfect safety
Protective function.
3G routers are mainly embedded in wireless 3G module users first in former router and are inserted using a rate card (usim card)
3G routers carry out dial-up networking by operator 3G network WCDMA, TD-SCDMA etc., so that it may to realize data transmission, online
Equal routers have WIFI function to realize shared verification, have wireless network card as long as mobile phone, computer, psp or with wifi functions as long as energy
Internet is accessed by 3G wireless routers, great convenience is provided to realize that WLAN shares 3G wireless networks.Portion
Man of subsidiary factory also carries wired broadband interface, and internet also can be normally accessed without 3G.By 3G wireless routers, may be implemented
Broadband connection meets or exceeds the network bandwidth of current ADSL, becomes very extensive in the applications such as internet.
The automation equipment using the present invention for differentiating validated user, can not differentiate legal use for sleeping bag in the prior art
The technical issues of family, is integrated with multiple targetedly data processing equipments, accurately to know by the way that framework of sleeping bag itself is transformed
The identity of other sleeping bag visitor is unziped automatically when identity is legal for using, and when identity is illegal, refusal provides
The right to use, to effectively maintain the interests of sleeping bag owner.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are 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 variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (1)
1. a kind of automation equipment differentiating validated user, including：
Sleeping bag body frame structure, slide fastener control device, personnel inspection equipment, wireless transmitting-receiving equipments and video capture device, sleeping bag body frame
Structure includes pillow component, upper drape face, lower covering cloth cover and longitudinal slide fastener, and the longitudinal direction slide fastener is used under tightening state will
The upper drape face and the lower covering cloth cover are combined as a whole, the upper surface of the pillow component and the lower covering cloth cover
Top connection；
Wherein, the slide fastener control device is connect with longitudinal slide fastener of the sleeping bag body frame structure, is receiving tightening control signal
When, automatic tightening is the upper drape face and the lower covering cloth cover to be combined as a whole；
TF storage cards, for prestoring default clarity threshold and default fractional threshold；
The video capture device is used to carry out video data acquiring to scene where sleeping bag body frame structure with obtaining preset time
Every interior each target image frame；
Wherein, the prefixed time interval is pre-stored in the TF storage cards；
Scene where the personnel inspection equipment is used to determine sleeping bag body frame structure based on the output content of the video capture device
Interior personnel's name as existing object name to export；
Wherein, the wireless transmitting-receiving equipments are connect with the personnel inspection equipment, for receiving the existing object name and inciting somebody to action
The existing object name is wirelessly sent to the server at the urgent care centre of distal end；
The personnel inspection equipment is additionally operable to when the existing object name is illegal address name, sends out tightening control letter
Number, it is additionally operable to, when the existing object name is validated user name, send out and pull open control signal；
Wherein, the slide fastener control device is connect with the personnel inspection equipment, for pulling open control signal described in receiving
When, the upper drape face and the lower covering cloth cover are separated automatically；
Wherein, the wireless transmitting-receiving equipments are additionally operable to that, when receiving tightening control signal, signal phase will be controlled with the tightening
The warning message answered is sent to the server at the urgent care centre of distal end；
Interference peak detection device is connect with the TF storage cards, for receiving differentiation filtering image, determines the differentiation
The grey level histogram of filtering image obtains multiple peak values in the ordinate direction in the grey level histogram, by multiple peak values
The peak value that middle amplitude is less than or equal to default noise amplitudes threshold value is all used as interference peak, and Interference Peaks unless each are gone from multiple peak values
Value is one or more with reference to peak value to obtain；
Self-adaption binaryzation processing equipment is connect with the interference peak detection device, for referring to peak value to one or more
Processing average to obtain equalization peak value, by the grey level histogram, the value in ordinate direction is described in
The tonal gradation on the abscissa corresponding to peak value is equalized as binary-state threshold, is additionally operable in differentiation filtering image
Each pixel pixel value, pixel value is more than or equal to the binary-state threshold, using its pixel value as 255, by picture
Element value is less than the binary-state threshold, using its pixel value as 0, to obtain adaptive bianry image；
Clarity detection device is connect with the video capture device, for receiving each target image frame, and determines each
The clarity of target image frame；
Image compares equipment, is connect respectively with the TF storage cards and the clarity detection device, for obtaining each target
The clarity of picture frame and each target image frame removes clarity from each target image frame and is less than or equal to preset
One or more target image frames of clarity threshold are to obtain each alternate image frame；
Image output device, equipment connects compared with the TF storage cards and described image respectively, for receiving each spare figure
It is less than or equal to preset one or more alternate images of fractional threshold as frame, and from each alternate image frame removal signal-to-noise ratio
Frame carries out image averaging processing to obtain each final image frame, to each final image frame and is equalized with obtaining simultaneously output frame
Image；
It is characterized in that, further including：
Noise analysis equipment equalizes image for receiving frame, and noise type analysis is carried out with true to frame equalization image
The maximum noise type of noise amplitude in the fixed frame equalization image as main noise type to export, wherein described
Noise type in frame equalization image includes interference noise, the electric appliance of the internal noise of sensitive components generation, transmission channel
Grain noise caused by jittering noise and photosensitive material that mechanical movement is brought；
Stencil-chosen equipment is connect 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 connect with the noise analysis equipment, for judging the objective contour in the frame equalization image；
Differentiation filter apparatus is connect with the stencil-chosen equipment and the contour detecting equipment respectively, for forming institute
Each contour pixel for stating objective contour, 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 objective contour pixel quantity in medium filtering window is more than
When equal to non-targeted contour pixel quantity in medium filtering window, the mean value conduct of the pixel value of each objective contour pixel is taken
The pixel value of the contour pixel, when the objective contour pixel quantity in medium filtering window is less than non-in medium filtering window
When objective contour pixel quantity, pixel of the mean value of the pixel value of each non-targeted contour pixel as the contour pixel is taken
Value；
Multilayer enhancing equipment is determined described adaptive for receiving adaptive bianry image based on goal-selling gray threshold range
Answer whether each pixel in bianry image belongs to objective contour pixel, by all targets in the adaptive bianry image
Contour pixel forms preliminary aim region, improves the gray value etc. of all pixels in preliminary region in the adaptive bianry image
Grade improves image to obtain contrast, enhances the highlights region in the contrast raising image, while reducing the contrast
Improve image in dark portion region, to obtain targets improvement image, to the targets improvement image carry out picture smooth treatment with
Obtaining multilayer enhances image；
Facial recognition device enhances image for receiving multilayer, enhances from the multilayer and facial son is identified and be partitioned into image
Image；
Headwear identification equipment identifies from the facial subgraph for receiving the facial subgraph and is partitioned into headwear
Image；
Image separation equipment is connect respectively with the facial recognition device and the headwear identification equipment, for receiving the face
Portion's subgraph and the headwear subgraph, and from the facial subgraph detach the headwear subgraph with described in detaching
Facial subgraph after headwear subgraph, which is used as, goes headwear subgraph to export；
Wherein, the differentiation filter apparatus, which is additionally operable to equalize in image the frame, is not belonging to each of the objective contour
A non-contour pixel, based on the medium filtering template according to the picture of all pixels in the medium filtering window centered on it
Pixel value of the mean value of element value as the non-contour pixel；
Wherein, the differentiation filter apparatus exports differentiation filtering image；
Wherein, the personnel inspection equipment connect with described image separation equipment, and described headwear subgraph, and base are removed for receiving
Headwear subgraph is gone to determine corresponding personnel's name to be exported as existing object name in described；
The TF storage cards are also connect with interference peak detection device, for prestoring default noise amplitudes threshold value.
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| CN110522205A (en) * | 2018-05-25 | 2019-12-03 | 任峰 | A kind of method of intelligent automatic storage |
| CN110005627B (en) * | 2018-06-13 | 2020-08-18 | 泾县桃花潭镇盛福林中草药种植家庭农场 | Axial flow hair-dryer based on motor speed governing |
| CN109915932B (en) * | 2018-07-26 | 2021-07-09 | 江苏克伦伯格热能技术有限公司 | Heating mode control system of heating radiator |
| CN110025146B (en) * | 2018-08-01 | 2020-12-22 | 安徽国星生物化学有限公司 | Automatic change board-like mechanism TV bench |
| CN109601110B (en) * | 2018-12-28 | 2020-08-25 | 温岭市第二绝缘材料厂 | Multifunctional walking type weeding machine |
| CN110765952A (en) * | 2019-10-24 | 2020-02-07 | 上海眼控科技股份有限公司 | Vehicle illegal video processing method and device and computer equipment |
| CN111491004A (en) * | 2019-11-28 | 2020-08-04 | 赵丽侠 | Information updating method based on cloud storage |
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| Publication number | Publication date |
|---|---|
| CN107342868A (en) | 2017-11-10 |
| CN107342868B (en) | 2018-05-15 |
| CN108158314A (en) | 2018-06-15 |
| CN107835081A (en) | 2018-03-23 |
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