CN105574496A - Face talkback recognition system - Google Patents
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- CN105574496A CN105574496A CN201510932431.6A CN201510932431A CN105574496A CN 105574496 A CN105574496 A CN 105574496A CN 201510932431 A CN201510932431 A CN 201510932431A CN 105574496 A CN105574496 A CN 105574496A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00658—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by passive electrical keys
- G07C9/00714—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by passive electrical keys with passive electrical components, e.g. resistor, capacitor, inductor
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q5/00—Selecting arrangements wherein two or more subscriber stations are connected by the same line to the exchange
- H04Q5/24—Selecting arrangements wherein two or more subscriber stations are connected by the same line to the exchange for two-party-line systems
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- Human Computer Interaction (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
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- Collating Specific Patterns (AREA)
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Abstract
The invention discloses a face talkback recognition system. The face talkback recognition system comprises a building entrance machine and a user mobile phone client, wherein the building entrance machine comprises a touch screen, a display screen, a face camera, a key, an entrance guard system, a peripheral master control module and a cloud data storage module; and the peripheral master control module comprises an NFC recognition module, an RFID card reader, a fingerprint recognition module, a face recognition module, a voice recognition module and a wireless reception/transmission module. The resident can open the door through the manners such as key input, NFC mobile phone wireless recognition, RFID card reading recognition, fingerprint recognition and face recognition, or open the door through a manner of NFC mobile phone wireless recognition, so that the functions are diversified; and an indoor interphone is saved, the resident can communicate with the visitors anytime and anywhere in real time through the wireless reception/transmission module, and does not need to stand up to go to the interphone, so that convenience and rapidness are provided, and the total cost of the system is saved at the same time.
Description
Technical field
The invention belongs to intelligent building field, particularly relate to a kind of face intercommunication recognition system.
Background technology
Along with intelligentized universal, building talkback has welcome new opportunity to develop, and has become the standard configuration equipment of modern dwelling community, it can not only for user provide into and out of and the management of visiting guest, simultaneously also to the effective safety management of the antitheft formation of building.But current most building conversational system adopts the mode of ID card, opened the door by brush ID card when namely passing in and out community or building.Seeming a simple door opening action of swiping the card, but there is larger use drawback and potential safety hazard: during as forgotten band card, can make troubles in resident family's turnover community; Residential property is the limited amount of the card of each resident family configuration, increases a calorie requirement and pays extra cost; If card is lost, and after being picked up by lawless person, turnover of can arbitrarily opening the door; Or when security housing is verified, artificial verification must be adopted.
Summary of the invention
The object of the present invention is to provide a kind of face intercommunication recognition system, be intended to solve that existing access control system of residential community cost is high, inconvenient problem with use.
The present invention is achieved in that a kind of face intercommunication recognition system comprises the cell-phone customer terminal of building doorway machine and resident family;
Described building doorway machine comprises touch-screen, display screen, face camera, button, gate control system, peripheral main control module, cloud data memory module;
Described peripheral main control module is responsible for the connection of each parts, Signal transmissions and data processing, this peripheral main control module comprises NFC identification module, rfid card card reader, fingerprint identification module, face recognition module, sound identification module, radio receiving transmitting module, described control panel comprises SIM card and governor circuit, and described NFC identification module, rfid card card reader, fingerprint identification module, face recognition module, SIM card are all connected with governor circuit with radio receiving transmitting module;
Described face recognition module stores face template data, its input end is electrically connected with described recognition of face camera, output terminal is electrically connected with described peripheral main control module, face template data for storing in the face template data and system of being come by recognition of face thecamera head are compared, and comparison result is sent to peripheral main control module;
This face recognition module comprises Face datection and locating module, normalizing block, characteristic extracting module, identification module;
Described location and detection module for catching people's eye coordinates, and obtain the coordinate of face left upper apex and bottom right vertex by people's eye coordinates;
Described normalizing block carries out standardization processing to the facial image gathered, and face alignment is corrected;
Described characteristic extracting module is used for structural attitude and extracts operator, and extract facial image proper vector, concrete steps are:
Step one, collect N number of sample be used as training set X, adopt following formula obtain sample mean m:
Wherein, x
i∈ sample training collection X=(x
1, x
2..., x
n);
Step 2, obtain scatter matrix S:
Obtain eigenvalue λ i and the characteristic of correspondence vector ei of scatter matrix, wherein, ei is principal component, eigenwert is arranged in order from big to small λ 1, λ 2,
Suppose to take out p value, λ 1, λ 2 ..., λ p can determine face space E=(e1, e2 ..., eP), at this face spatially, in training sample X, the point that each element projects to this space can be obtained by following formula:
x'
i＝E
tx
i，t＝1，2，…，N；
What obtained by above formula is by the p dimensional vector of former vector after PCA dimensionality reduction;
Described identification module, based on sparse representation, adopts SRC face recognition algorithms to carry out plurality of human faces identification;
The output terminal of described touch-screen, the output terminal of camera are all connected with the input end of governor circuit with the output terminal of button, the output terminal of described governor circuit is connected with the input end of display screen and the input end of gate control system respectively, and described radio receiving transmitting module is also connected with the mobile phone terminal of resident family;
User is by cloud data memory module amendment face template data and access permission.
Further, the concrete grammar adopting SRC face recognition algorithms to carry out plurality of human faces identification is:
Sort to present frame Face datection and by coordinate and draw the recognition result of each face of present frame; Recognition result according to each face of present frame calculates corresponding each face adjacent n frame recognition result separately; Add up the identity of each face, determined the final identity of target by the Unified Identity exceeding half n/2;
Wherein, calculate picture to be identified and face database of all categories between reconstruction error { r
1, r
2r
n, r
1<r
2< ... <r
n, by the Similarity value that obtains according to
rule determine final recognition result; Wherein T
1for rate value, T
1=0.6.
Further, described sound identification module comprises audio interface, described audio interface and cell-phone customer terminal wireless connections, and described audio interface comprises:
First sound channel terminal, second sound channel terminal and microphone terminal;
Data transmission unit, described data transmission unit is electrically connected with described microphone terminal, to send data to described mobile phone terminal;
Data receipt unit, described data receipt unit is electrically connected with described second sound channel terminal, to receive the data from described mobile phone terminal;
Security authentication module, described security authentication module is electrically connected with described data transmission unit and described data receipt unit, described encrypting module is connected with gate control system, gate control system is connected with cloud data memory module, and this cloud data memory module comprises: crypto module, client modules, cloud security store and shared server, cloud file server;
Crypto module, for stochastic generation key, realizes symmetric cryptography and deciphering, and provides the algorithm of private key; Client modules, for for the uploading of file, download and the encryption and decryption operation of file;
Cloud security stores and shared server, for realizing certification to user, user's quota control and empowerment management; Cloud file server, stores for file; Described crypto module matches with client modules the associative operation realized file, and stores with cloud security and shared server is carried out communication and realized operating the file in cloud file server.
Further, the built-in frequency analysis unit of described sound identification module, phase curve computing unit, error calculation unit, voice signal recognition unit;
Described frequency analysis unit, analyzes the frequency signal of voice signal;
Described phase curve computing unit, calculates the phase curve carrying out with the time variations of the phase place of described frequency signal being similar to;
Described error calculation unit, calculates the error between described phase curve and the phase place of described frequency signal;
Described voice signal recognition unit, identifies the signal whether described voice signal is periodic sound based on described error.
Resident family can be opened the door by modes such as key-press input, NFC mobile phone wireless identification, the identification of rfid card Card Reader, fingerprint recognition and recognitions of face, and visitor also can be opened the door by the mode of NFC mobile phone wireless identification, diverse in function; Eliminate intercom, resident family can carry out real-time communication by radio receiving transmitting module and visitor whenever and wherever possible, goes to intercom place without the need to standing up again, very convenient and quick, also saves the total cost of system simultaneously.
Accompanying drawing explanation
Fig. 1 is the structural representation of the face intercommunication recognition system that the embodiment of the present invention provides;
In figure: 1, building doorway machine; 1-1, touch-screen; 1-2, display screen; 1-3, face camera; 1-4, button; 1-5, gate control system; 1-6, peripheral main control module; 1-6-1, NFC identification module; 1-6-2, rfid card card reader; 1-6-3, fingerprint identification module; 1-6-4, face recognition module; 1-6-5, sound identification module; 1-6-6, radio receiving transmitting module; 1-7, cloud data memory module; 2, cell-phone customer terminal.
Embodiment
For summary of the invention of the present invention, Characteristic can be understood further, hereby exemplify following examples, and coordinate accompanying drawing to be described in detail as follows.
As shown in Figure 1, the present invention is achieved in that a kind of face intercommunication recognition system comprises the cell-phone customer terminal 2 of building doorway machine 1 and resident family;
Described building doorway machine comprises touch-screen 1-1, display screen 1-2, face camera 1-3, button 1-4, gate control system 1-5, peripheral main control module 1-6, cloud data memory module 1-7;
Described peripheral main control module 1-6 is responsible for the connection of each parts, Signal transmissions and data processing, this peripheral main control module comprises NFC identification module 1-6-1, rfid card card reader 1-6-2, fingerprint identification module 1-6-3, face recognition module 1-6-4, sound identification module 1-6-5, radio receiving transmitting module 1-6-6, described control panel comprises SIM card and governor circuit, and described NFC identification module, rfid card card reader, fingerprint identification module, face recognition module, SIM card are all connected with governor circuit with radio receiving transmitting module;
Described face recognition module 1-6-4 stores face template data, its input end is electrically connected with described recognition of face camera, output terminal is electrically connected with described peripheral main control module, face template data for storing in the face template data and system of being come by recognition of face thecamera head are compared, and comparison result is sent to peripheral main control module;
This face recognition module 1-6-4 comprises Face datection and locating module, normalizing block, characteristic extracting module, identification module;
Described location and detection module for catching people's eye coordinates, and obtain the coordinate of face left upper apex and bottom right vertex by people's eye coordinates;
Described normalizing block carries out standardization processing to the facial image gathered, and face alignment is corrected;
Described characteristic extracting module is used for structural attitude and extracts operator, and extract facial image proper vector, concrete steps are:
Step one, collect N number of sample be used as training set X, adopt following formula obtain sample mean m:
Wherein, x
i∈ sample training collection X=(x
1, x
2..., x
n);
Step 2, obtain scatter matrix S:
Obtain eigenvalue λ i and the characteristic of correspondence vector ei of scatter matrix, wherein, ei is principal component, eigenwert is arranged in order from big to small λ 1, λ 2,
Suppose to take out p value, λ 1, λ 2 ..., λ p can determine face space E=(e1, e2 ..., eP), at this face spatially, in training sample X, the point that each element projects to this space can be obtained by following formula:
x'
i＝E
tx
i，t＝1，2，…，N；
What obtained by above formula is by the p dimensional vector of former vector after PCA dimensionality reduction;
Described identification module, based on sparse representation, adopts SRC face recognition algorithms to carry out plurality of human faces identification;
The output terminal of described touch-screen, the output terminal of camera are all connected with the input end of governor circuit with the output terminal of button, the output terminal of described governor circuit is connected with the input end of display screen and the input end of gate control system respectively, and described radio receiving transmitting module is also connected with the mobile phone terminal of resident family;
User is by cloud data memory module amendment face template data and access permission.
Further, the concrete grammar adopting SRC face recognition algorithms to carry out plurality of human faces identification is:
Sort to present frame Face datection and by coordinate and draw the recognition result of each face of present frame; Recognition result according to each face of present frame calculates corresponding each face adjacent n frame recognition result separately; Add up the identity of each face, determined the final identity of target by the Unified Identity exceeding half n/2;
Wherein, calculate picture to be identified and face database of all categories between reconstruction error { r
1, r
2r
n, r
1<r
2< ... <r
n, by the Similarity value that obtains according to
rule determine final recognition result; Wherein T
1for rate value, T
1=0.6.
Further, described sound identification module 1-6-5 comprises audio interface, described audio interface and cell-phone customer terminal wireless connections, and described audio interface comprises:
First sound channel terminal, second sound channel terminal and microphone terminal;
Data transmission unit, described data transmission unit is electrically connected with described microphone terminal, to send data to described mobile phone terminal;
Data receipt unit, described data receipt unit is electrically connected with described second sound channel terminal, to receive the data from described mobile phone terminal;
Security authentication module, described security authentication module is electrically connected with described data transmission unit and described data receipt unit, described encrypting module is connected with gate control system, gate control system is connected with cloud data memory module, and this cloud data memory module comprises: crypto module, client modules, cloud security store and shared server, cloud file server;
Crypto module, for stochastic generation key, realizes symmetric cryptography and deciphering, and provides the algorithm of private key; Client modules, for for the uploading of file, download and the encryption and decryption operation of file;
Cloud security stores and shared server, for realizing certification to user, user's quota control and empowerment management; Cloud file server, stores for file; Described crypto module matches with client modules the associative operation realized file, and stores with cloud security and shared server is carried out communication and realized operating the file in cloud file server.
Further, the described built-in frequency analysis unit of sound identification module 1-6-5, phase curve computing unit, error calculation unit, voice signal recognition unit;
Described frequency analysis unit, analyzes the frequency signal of voice signal;
Described phase curve computing unit, calculates the phase curve carrying out with the time variations of the phase place of described frequency signal being similar to;
Described error calculation unit, calculates the error between described phase curve and the phase place of described frequency signal;
Described voice signal recognition unit, identifies the signal whether described voice signal is periodic sound based on described error.
The course of work of the present invention mainly comprises two: resident family's inlet/outlet process and the visiting process of entering of visitor.
(1) resident family's inlet/outlet process
Resident family can open electronic lock, to pass in and out the cell gate of building by modes such as key-press input password, key, NFC identification, rfid card, fingerprint, recognitions of face.
Key-press input password unlocking: resident family's key-press input password, and governor circuit triggers unlocking signal after receiving correct password, controls electronic lock and opens.
NFC identifies and unblanks: the mode that mobile phone is read by NFC wireless identity module by resident family is unblanked, governor circuit is after the phone number receiving the transmission of NFC wireless identity module, compared by comparer and the phone number be stored in SIM card, if the two unanimously triggers unlocking signal, control electronic lock and open.
Rfid card is unblanked: resident family unblanks by rfid card card reader, and governor circuit triggers unlocking signal after receiving correct rfid card signal, controls electronic lock and opens.
Fingerprint is unblanked: resident family unblanks by fingerprint identification module, and governor circuit triggers unlocking signal after receiving correct finger print information, controls electronic lock and opens.
Recognition of face is unblanked: resident family unblanks by face recognition module, and governor circuit triggers unlocking signal after receiving correct face information, controls electronic lock and opens.
Above-mentioned NFC wireless identity module, rfid card card reader, fingerprint identification module and face recognition module, be the common module of prior art, do not repeat them here.
(2) visitor is visiting enters
Resident family's information that visitor will be accessed by the mode input of key-press input or touch-screen touch-control, camera starts captured in real-time simultaneously, and the signal of shooting is sent to governor circuit, notifies accessed resident family after governor circuit identification by wireless receiving module.No matter accessed whether resident family at premises, and it can carry out voice or video communication with mobile phone by wireless receiving module and visitor, and after confirmation visitor identity, transmits control signal, and makes governor circuit trigger unlocking signal, controls electronic lock and open.In addition, the phone number of visitor also can be sent to building doorway machine and be stored in SIM by owner in advance, and the mode that such visitor also can read phone number by NFC identification module directly enters community, very convenient.
Compared with prior art, the present invention includes touch-screen, display screen, camera, button, NFC identification module, rfid card card reader, fingerprint identification module, face recognition module and radio receiving transmitting module, resident family can be opened the door by modes such as key-press input, NFC mobile phone wireless identification, the identification of rfid card Card Reader, fingerprint recognition and recognitions of face, visitor also can be opened the door by the mode of NFC mobile phone wireless identification, diverse in function; Eliminate intercom, resident family can carry out real-time communication by radio receiving transmitting module and visitor whenever and wherever possible, goes to intercom place without the need to standing up again, very convenient and quick, also saves the total cost of system simultaneously; Button comprises floor key and room number button, and extend the room number that can call out, the scope of application is wider; Comprise wagon detector, can detect the vehicle of community turnover, function is more various.Further, comprise human body induction module, facilitate the elderly and handicapped people, more hommization.
Resident family can be opened the door by modes such as key-press input, NFC mobile phone wireless identification, the identification of rfid card Card Reader, fingerprint recognition and recognitions of face, and visitor also can be opened the door by the mode of NFC mobile phone wireless identification, diverse in function; Eliminate intercom, resident family can carry out real-time communication by radio receiving transmitting module and visitor whenever and wherever possible, goes to intercom place without the need to standing up again, very convenient and quick, also saves the total cost of system simultaneously.
The above is only to preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, every according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all belong in the scope of technical solution of the present invention.
Claims (4)
1. a face intercommunication recognition system, is characterized in that, described face intercommunication recognition system comprises the cell-phone customer terminal of building doorway machine and resident family;
Described building doorway machine comprises touch-screen, display screen, face camera, button, gate control system, peripheral main control module, cloud data memory module;
Described peripheral main control module is responsible for the connection of each parts, Signal transmissions and data processing, this peripheral main control module comprises NFC identification module, rfid card card reader, fingerprint identification module, face recognition module, sound identification module, radio receiving transmitting module, described control panel comprises SIM card and governor circuit, and described NFC identification module, rfid card card reader, fingerprint identification module, face recognition module, SIM card are all connected with governor circuit with radio receiving transmitting module;
Described face recognition module stores face template data, its input end is electrically connected with described recognition of face camera, output terminal is electrically connected with described peripheral main control module, face template data for storing in the face template data and system of being come by recognition of face thecamera head are compared, and comparison result is sent to peripheral main control module;
This face recognition module comprises Face datection and locating module, normalizing block, characteristic extracting module, identification module;
Described location and detection module for catching people's eye coordinates, and obtain the coordinate of face left upper apex and bottom right vertex by people's eye coordinates;
Described normalizing block carries out standardization processing to the facial image gathered, and face alignment is corrected;
Described characteristic extracting module is used for structural attitude and extracts operator, and extract facial image proper vector, concrete steps are:
Step one, collect N number of sample be used as training set X, adopt following formula obtain sample mean m:
Wherein, x
i∈ sample training collection X=(x
1, x
2..., x
n);
Step 2, obtain scatter matrix S:
Obtain eigenvalue λ i and the characteristic of correspondence vector ei of scatter matrix, wherein, ei is principal component, eigenwert is arranged in order from big to small λ 1, λ 2,
Suppose to take out p value, λ 1, λ 2 ..., λ p can determine face space E=(e1, e2 ..., eP), at this face spatially, in training sample X, the point that each element projects to this space can be obtained by following formula:
x'
i＝E
tx
i，t＝1，2，…，N；
What obtained by above formula is by the p dimensional vector of former vector after PCA dimensionality reduction;
Described identification module, based on sparse representation, adopts SRC face recognition algorithms to carry out plurality of human faces identification;
The output terminal of described touch-screen, the output terminal of camera are all connected with the input end of governor circuit with the output terminal of button, the output terminal of described governor circuit is connected with the input end of display screen and the input end of gate control system respectively, and described radio receiving transmitting module is also connected with the mobile phone terminal of resident family;
User is by cloud data memory module amendment face template data and access permission.
2. face intercommunication recognition system as claimed in claim 1, is characterized in that, the concrete grammar adopting SRC face recognition algorithms to carry out plurality of human faces identification is:
Sort to present frame Face datection and by coordinate and draw the recognition result of each face of present frame; Recognition result according to each face of present frame calculates corresponding each face adjacent n frame recognition result separately; Add up the identity of each face, determined the final identity of target by the Unified Identity exceeding half n/2;
Wherein, calculate picture to be identified and face database of all categories between reconstruction error { r
1, r
2r
n, r
1<r
2< ... <r
n, by the Similarity value that obtains according to
rule determine final recognition result; Wherein T
1for rate value, T
1=0.6.
3. recognition of face intercom system as claimed in claim 1, it is characterized in that, described sound identification module comprises audio interface, described audio interface and cell-phone customer terminal wireless connections, and described audio interface comprises:
First sound channel terminal, second sound channel terminal and microphone terminal;
Data transmission unit, described data transmission unit is electrically connected with described microphone terminal, to send data to described mobile phone terminal;
Data receipt unit, described data receipt unit is electrically connected with described second sound channel terminal, to receive the data from described mobile phone terminal;
Security authentication module, described security authentication module is electrically connected with described data transmission unit and described data receipt unit, described encrypting module is connected with gate control system, gate control system is connected with cloud data memory module, and this cloud data memory module comprises: crypto module, client modules, cloud security store and shared server, cloud file server;
Crypto module, for stochastic generation key, realizes symmetric cryptography and deciphering, and provides the algorithm of private key; Client modules, for for the uploading of file, download and the encryption and decryption operation of file;
Cloud security stores and shared server, for realizing certification to user, user's quota control and empowerment management; Cloud file server, stores for file; Described crypto module matches with client modules the associative operation realized file, and stores with cloud security and shared server is carried out communication and realized operating the file in cloud file server.
4. face intercommunication recognition system as claimed in claim 1, is characterized in that, the built-in frequency analysis unit of described sound identification module, phase curve computing unit, error calculation unit, voice signal recognition unit;
Described frequency analysis unit, analyzes the frequency signal of voice signal;
Described phase curve computing unit, calculates the phase curve carrying out with the time variations of the phase place of described frequency signal being similar to;
Described error calculation unit, calculates the error between described phase curve and the phase place of described frequency signal;
Described voice signal recognition unit, identifies the signal whether described voice signal is periodic sound based on described error.
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