CN107169473A - A kind of recognition of face control system - Google Patents
A kind of recognition of face control system Download PDFInfo
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- CN107169473A CN107169473A CN201710434794.6A CN201710434794A CN107169473A CN 107169473 A CN107169473 A CN 107169473A CN 201710434794 A CN201710434794 A CN 201710434794A CN 107169473 A CN107169473 A CN 107169473A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
- G06Q30/0271—Personalized advertisement
-
- 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
- G06V40/12—Fingerprints or palmprints
-
- 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
-
- 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
- G06V40/18—Eye characteristics, e.g. of the iris
-
- 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
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
-
- 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
- G06V40/179—Human faces, e.g. facial parts, sketches or expressions metadata assisted face recognition
Abstract
The invention discloses a kind of recognition of face control system, including face recognition module, voice input module, fingerprint identification module, iris recognition module, data update module, database comparing module, calculation system module, intelligent identification module, central processing module, power supply module, protection circuit, data conversion module, data visualization module, Video Output Modules, voice conversion module, voice output module, the second sub- control module, data transmission module and remote control module.The present invention catches face characteristic by shooting, high speed analysis goes out the factors such as the range of age of user, sex, selected according to the automatic precisely Recommendations of intellectual analysis result for user, businessman is helped to realize precision marketing, realize and carry out active judgement using face recognition technology, precisely deliver advertisement, reduction cost of marketing is not only facilitated, is marched toward " user profile excavation applications " from " information contrast field of authentication " while also implying that biometrics identification technology is applied.
Description
Technical field
The present invention relates to identification interaction systems technical field, more particularly to a kind of recognition of face control system.
Background technology
Face identification system, using face recognition technology as core, is an emerging biological identification technology, is the current world
The high-quality precision and sophisticated technology of sciemtifec and technical sphere tackling key problem.Its widely used regional characteristics analysis algorithm, has merged computer image processing technology
With biostatistics principle in one, portrait characteristic point is extracted from video using computer image processing technology, biology is utilized
Statistical principle carries out analysis founding mathematical models, with vast potential for future development.In recent years, China's living things feature recognition skill
Art is increasingly mature, but the biological identification technology application such as recognition of face, fingerprint recognition, iris recognition is scarcely out of swaddling-clothes, mainly
The tradition application in simple information contrast field is concentrated on, such as everybody is often in contact with to VIP user identification systems etc., application
Wideless, level of application is not deep enough.
The content of the invention
The invention aims to solve shortcoming present in prior art, and a kind of recognition of face control proposed is
System.
To achieve these goals, present invention employs following technical scheme：
A kind of recognition of face control system, including face recognition module, voice input module, fingerprint identification module, iris recognition
Module, data update module, database comparing module, calculation system module, intelligent identification module, central processing module, confession
Electric module, protection circuit, data conversion module, data visualization module, Video Output Modules, voice conversion module, voice output
Module, the second sub- control module, data transmission module and remote control module, the face recognition module, voice input module,
The output end of fingerprint identification module and iris recognition module is electrically connected with the input of digitization module, the calculation system mould
The output end of block and data update module is electrically connected with the input of database comparing module, the database comparing module it is defeated
Go out end to electrically connect with the input of central processing module, the output end of the protection circuit and the input of power supply module are electrically connected
Connect, the output end of the power supply module is electrically connected with the input of central processing module, the output end of the central processing module
Electrically connected with the input of intelligent identification module, the output end of the intelligent identification module and the input electricity of data conversion module
Connection, the data visualization module, the input of voice conversion module and the second sub- control module and data conversion module it is defeated
Go out end electrical connection, the output end of the data visualization module is electrically connected with the input of Video Output Modules, the data conversion
The output end of module is electrically connected with the input of voice output module, the output end and data transfer of the second sub- control module
The input electrical connection of module, the output end of the data transmission module is electrically connected with the input of remote control module.
Preferably, the face recognition module is by facial image input block, face metadata production unit, face member number
Constituted according to memory cell, human face similarity degree computing unit, the first sub- control module and face database, the facial image
The input of database and face metadata production unit is electrically connected with the output end of facial image input block, the face member
The output end of data production unit is electrically connected with the input of face metadata storage unit, the face metadata storage unit
Output end electrically connected with the input of human face similarity degree computing unit, the human face similarity degree computing unit and facial image number
Electrically connected according to the output end in storehouse with the input of the first sub- control module, the output end of the first sub- control module and digitization
The input electrical connection of processing module, the face metadata production unit is by face characteristic extraction unit and confidence index extraction
Unit is constituted, and the human face similarity degree computing unit is made up of distribution estimation unit and metrics calculation unit.
Preferably, the power supply module is connected with the first power supply and the second power supply respectively by protection circuit,
There is the first relay KM1 to be connected on the first power supply, the first relay KM1 normally-closed contact KM1-1 is connected on the second confession
Between power supply and power supply module, there is an electric current relay KA and the first described relay KM1 normally-closed contact KM1-1 simultaneously
Connection, electric current relay KA the first normally-closed contact KA-1 is in parallel with the first relay KM1 after being connected with the second relay KM2, the
Two relay KM2 the first normally opened contact KM2-1 connects with the first relay KM1, electric current relay KA the first normally opened contact
KA-2 is connected between the first power supply and power supply module, and first power supply is civil power, second power supply
For ups power.
Preferably, the electric current relay KA is in parallel with the first relay indicating light L1.
Preferably, after the second normally opened contact KM2-2 of the second relay KM2 connects with the second relay indicating light L2 with
Second relay KM2 is in parallel.
Preferably, after the second normally opened contact KM2-2 of the second relay KM2 connects with the second relay indicating light L2 with
Second relay KM2 is in parallel.
In the present invention, using face recognition module, voice input module, fingerprint identification module and iris recognition module by people
Thing information is inputted to calculation system module, and input database after data processing is utilized database ratio by calculation system module
Comparing is carried out to module, the information after comparison is delivered to intelligent identification module after central processing module is handled, by intelligence
The data produced after recognizing are delivered to data visualization module and voice conversion module respectively, subsequently form video and voice is defeated
Go out, data conversion module also by being delivered to data transmission module after the second sub- control module processing, utilizes data transmission module
The remote control module for being transferred to distant place carries out data storage；Using data update module can to database carry out data maintenance and
Update.The present invention can catch face characteristic by shooting, and high speed analysis goes out the factors such as the range of age of user, sex, and according to
The automatic precisely Recommendations of intellectual analysis result are selected for user, are helped businessman to realize precision marketing, are realized and known using face
Other technology carries out active judgement, precisely delivers advertisement, reduction cost of marketing, lifting marketing efficiency is not only facilitated, while also anticipating
Taste biometrics identification technology application and marched toward " user profile excavation applications " from " information contrast field of authentication ".
Brief description of the drawings
Fig. 1 is a kind of schematic diagram of recognition of face control system proposed by the present invention；
Fig. 2 be a kind of recognition of face control system proposed by the present invention in face recognition module decomposition principle figure；
Fig. 3 is protection circuit figure proposed by the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.
Reference picture 1-3, a kind of recognition of face control system, including face recognition module, voice input module, fingerprint recognition
Module, iris recognition module, data update module, database comparing module, calculation system module, intelligent identification module, in
Entreat processing module, power supply module, protection circuit, data conversion module, data visualization module, Video Output Modules, voice conversion
Module, voice output module, the second sub- control module, data transmission module and remote control module, face recognition module, voice
The output end of input module, fingerprint identification module and iris recognition module is electrically connected with the input of digitization module, digitization
Processing module and the output end of data update module are electrically connected with the input of database comparing module, database comparing module
Output end is electrically connected with the input of central processing module, and the output end of protection circuit is electrically connected with the input of power supply module,
The output end of power supply module is electrically connected with the input of central processing module, output end and the Intelligent Recognition mould of central processing module
The input electrical connection of block, the output end of intelligent identification module is electrically connected with the input of data conversion module, data visualization mould
The input of block, voice conversion module and the second sub- control module is electrically connected with the output end of data conversion module, data visualization
The output end of module is electrically connected with the input of Video Output Modules, the output end of data conversion module and voice output module
Input is electrically connected, and the output end of the second sub- control module is electrically connected with the input of data transmission module, data transmission module
Output end electrically connected with the input of remote control module, face recognition module is by facial image input block, face member number
According to production unit, face metadata storage unit, human face similarity degree computing unit, the first sub- control module and face image data
Storehouse is constituted, the input of face database and face metadata production unit and the output end electricity of facial image input block
Connection, the output end of face metadata production unit is electrically connected with the input of face metadata storage unit, face metadata
The output end of memory cell is electrically connected with the input of human face similarity degree computing unit, human face similarity degree computing unit and face figure
The output end of picture database is electrically connected with the input of the first sub- control module, the output end of the first sub- control module and digitization
The input electrical connection of processing module, face metadata production unit is by face characteristic extraction unit and confidence index extraction unit
Composition, human face similarity degree computing unit is made up of distribution estimation unit and metrics calculation unit, and power supply module passes through protection circuit
It is connected respectively with the first power supply and the second power supply, has the first relay KM1 to be connected on the first power supply, first
Relay KM1 normally-closed contact KM1-1 is connected between the second power supply and power supply module, have an electric current relay KA and
First relay KM1 normally-closed contact KM1-1 is in parallel, electric current relay KA the first normally-closed contact KA-1 and the second relay
, second relay KM2 first normally opened contact KM2-1 and first relay KM1 in parallel with the first relay KM1 after KM2 series connection
Series connection, electric current relay KA the first normally opened contact KA-2 is connected between the first power supply and power supply module, the first power supply
Power supply is civil power, and the second power supply is ups power, and electric current relay KA is in parallel with the first relay indicating light L1, the second relay
Device KM2 the second normally opened contact KM2-2 is in parallel with the second relay KM2 after being connected with the second relay indicating light L2, the second relay
Device KM2 the second normally opened contact KM2-2 is in parallel with the second relay KM2 after being connected with the second relay indicating light L2.
The present invention utilizes face recognition module, voice input module, fingerprint identification module and iris recognition module by personage
Information is inputted to calculation system module, and calculation system module compares input database after data processing using database
Module carries out comparing, and the information after comparison is delivered to intelligent identification module after central processing module is handled, will intelligence
The data produced after identification are delivered to data visualization module and voice conversion module respectively, subsequently form video and voice output,
Data conversion module also by being delivered to data transmission module after the second sub- control module processing, is transmitted using data transmission module
Remote control module to distant place carries out data storage；Using data update module data maintenance and more can be carried out to database
Newly.
The present invention utilizes face metadata generation technique and human face similarity degree computing technique, improves the accurate of recognition of face
Degree, according to the present invention it is possible to extract confidence level from facial image, can adaptively calculate different moulds according to confidence level
Similarity between block, therefore the accuracy of recognition of face is improved, face metadata generates face of the equipment in image
Image section produces metadata.Face metadata production equipment includes face characteristic extraction unit, for from figure
Face characteristic, and confidence index extraction unit are extracted as in, is indicated for being extracted from image on face characteristic
The confidence index of confidence level, and produce face characteristic and confidence index as face metadata.Confidence index extraction unit energy
The contrast index of image is enough extracted, confidence index is used as.The difference of the maximum of pixel value and minimum value in image can be extracted,
It is used as the contrast index of image.Or, the standard deviation or variance of image pixel value are selected, the contrast index of image is used as.Moreover,
The asymmetric index of image can be extracted as confidence index.Extract image and the mirror that the image is obtained is overturn by left and right
As the maximum of difference between image, the asymmetric index of image is used as.Or, from image and the error image of flipped image
One of power and value and average of pixel value are extracted, the asymmetric index of image is used as.Confidence index extraction unit with including
First confidence index extraction unit, the contrast index for extracting image, and the second confidence index extraction unit, for extracting
The asymmetric index of image.First confidence index extraction unit extracts the maximum and the difference of minimum value of pixel value in image, makees
For the contrast index of image, and the second confidence index extraction unit extracts the maximum of the difference of image and flipped image, as
The asymmetric index of image.Or, the first confidence index extraction unit can extract the standard deviation and variance of pixel value in image
One of, as the contrast index of image, and the second confidence index extraction unit can extract the difference of image and flipped image
One of power and value and average of image pixel value, are used as the asymmetric index of image.
The present invention is based on Biometrics platform customized development, and embedded face recognition technology adds entertainment interactive element,
By collection and user bound information, realize that information system is connected with marketing system, using the teaching of the invention it is possible to provide precision marketing service, this
The release of recognition of face precision marketing system, realizes and carries out active judgement using face recognition technology, precisely delivers advertisement, no
Reduction cost of marketing, lifting marketing efficiency are only helped to, while also implying that biometrics identification technology application from " information pair
Than field of authentication " march toward " user profile excavation applications ".The present invention catches face characteristic by shooting, and high speed analysis goes out user's
The factors such as the range of age, sex, and selected according to the automatic precisely Recommendations of intellectual analysis result for user, help businessman to realize
Precision marketing.
The present invention sets a protection circuit between power supply and power supply module so that the supply that electric current can be stablized,
It can ensure that the steady operation of system, protection circuit：Pass through protection circuit and confession using the first power supply or the second power supply
Electric module is powered to central processing module, the first indicator lamp L1, can serve to indicate that second source i.e. ups power is in work shape
State, the second indicator lamp L2 is used to indicating that whether the first power supply to be civil power to being powered to central processing module；If second supplies
When power supply is powered to central control module, if the first power supply has electricity, the 3rd indicator lamp L3 is bright, is so easy to use
Person adjusts power supply；During work, the relay such as electric current relay KA and the first relay KM1 can control the first power supply electricity
Source and the second power supply are powered to power supply module respectively, it is ensured that total system can work well.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (6)
1. a kind of recognition of face control system, including face recognition module, voice input module, fingerprint identification module, iris are known
Other module, data update module, database comparing module, calculation system module, intelligent identification module, central processing module,
Power supply module, protection circuit, data conversion module, data visualization module, Video Output Modules, voice conversion module, voice are defeated
Go out module, the second sub- control module, data transmission module and remote control module, it is characterised in that the face recognition module,
The output end of voice input module, fingerprint identification module and iris recognition module is electrically connected with the input of digitization module, institute
The output end for stating calculation system module and data update module is electrically connected with the input of database comparing module, the data
The output end of storehouse comparing module is electrically connected with the input of central processing module, the output end and power supply module of the protection circuit
Input electrical connection, the output end of the power supply module electrically connect with the input of central processing module, and the center is handled
The output end of module is electrically connected with the input of intelligent identification module, and output end and the data of the intelligent identification module convert mould
The input electrical connection of block, the input and data of the data visualization module, voice conversion module and the second sub- control module
The output end electrical connection of conversion module, the output end of the data visualization module is electrically connected with the input of Video Output Modules,
The output end of the data conversion module is electrically connected with the input of voice output module, the output of the second sub- control module
End is electrically connected with the input of data transmission module, the output end of the data transmission module and the input of remote control module
Electrical connection.
2. a kind of recognition of face control system according to claim 1, it is characterised in that the face recognition module is by people
Face image input block, face metadata production unit, face metadata storage unit, human face similarity degree computing unit, first
Sub- control module and face database composition, the input of face database and face the metadata production unit
Electrically connected with the output end of facial image input block, output end and the face metadata of the face metadata production unit are deposited
The input electrical connection of storage unit, the output end of the face metadata storage unit and the input of human face similarity degree computing unit
End electrical connection, the output end of the human face similarity degree computing unit and face database and the input of the first sub- control module
End electrical connection, the output end of the first sub- control module is electrically connected with the input of calculation system module, the face member
Data production unit is made up of face characteristic extraction unit and confidence index extraction unit, the human face similarity degree computing unit by
It is distributed estimation unit and metrics calculation unit composition.
3. a kind of recognition of face control system according to claim 1, it is characterised in that the power supply module passes through protection
Circuit is connected with the first power supply and the second power supply respectively, has the first relay KM1 to be connected on the first power supply,
First relay KM1 normally-closed contact KM1-1 is connected between the second power supply and power supply module, there is an electric current relay KA
Normally-closed contact KM1-1 with the first described relay KM1 is in parallel, electric current relay KA the first normally-closed contact KA-1 and second
, second relay KM2 first normally opened contact KM2-1 and first relay in parallel with the first relay KM1 after relay KM2 series connection
Device KM1 is connected, and electric current relay KA the first normally opened contact KA-2 is connected between the first power supply and power supply module, described
First power supply is civil power, and second power supply is ups power.
4. a kind of recognition of face control system according to claim 3, it is characterised in that the electric current relay KA and
One relay indicating light L1 is in parallel.
5. a kind of recognition of face control system according to claim 3, it is characterised in that the second relay KM2's
Second normally opened contact KM2-2 is in parallel with the second relay KM2 after being connected with the second relay indicating light L2.
6. a kind of recognition of face control system according to claim 3, it is characterised in that the second relay KM2's
Second normally opened contact KM2-2 is in parallel with the second relay KM2 after being connected with the second relay indicating light L2.
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| CN113763046A (en) * | 2021-09-07 | 2021-12-07 | 四川易海天科技有限公司 | Mobile internet vehicle-mounted intelligent delivery system based on big data analysis |
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Application publication date: 20170915 |