CN106447840A - Multifunctional intelligent entrance guard system - Google Patents
Multifunctional intelligent entrance guard system Download PDFInfo
- Publication number
- CN106447840A CN106447840A CN201610741246.3A CN201610741246A CN106447840A CN 106447840 A CN106447840 A CN 106447840A CN 201610741246 A CN201610741246 A CN 201610741246A CN 106447840 A CN106447840 A CN 106447840A
- Authority
- CN
- China
- Prior art keywords
- control system
- memory
- face
- gate control
- visit person
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
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Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/29—Graphical models, e.g. Bayesian networks
- G06F18/295—Markov models or related models, e.g. semi-Markov models; Markov random fields; Networks embedding Markov models
-
- 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
Abstract
The invention provides a multifunctional intelligent entrance guard system. The multifunctional intelligent access control system comprises an entrance guard controller, the entrance guard controller is connected with a biological identification unit, the entrance guard controller is connected with a memory, user information is stored in the memory, the entrance guard controller is connected with an indication unit, the entrance guard controller is connected with a card reader, and the entrance guard controller is connected with a cipher device. The multifunctional intelligent entrance guard system does not need an IC card, can automatically give visitor prompt, realizes entrance guard switching according to various pieces of the user information, and has simple flow.
Description
Technical field
The invention belongs to technical field of security and protection, particularly to a kind of multifunctional intellectual gate control system.
Background technology
At present, safety-protection system, when being operated, is mostly that each user is equipped with IC-card, then holder is using swiping the card
By entering, but, the safety-protection system passing through of being swiped the card using IC-card, one needing additional configuration IC-card brushing card device, and compares
It is easier to be opened by other people, two, IC-card is easily lost, after being found by other people after loss, equally can utilize this IC-card
By safety-protection system；Three, because IC-card makes the life-span, after damage, IC-card can not use, and user will be led to cannot to pass through
Safety-protection system；Four, when user leaves behind IC-card, user cannot pass through safety-protection system；In the case of other, do not pass through
IC-card is being passed through, but by carrying out between householder and visit person conversing regarding sound, determines whether to open the door, operation is compared
Complicated.
Therefore, need now a kind of multifunctional intellectual gate control system badly, neither need IC-card, can actively carry out visit person again
Prompting, realizes gate inhibition's switch according to multiple user profile, and flow process is simple.
Content of the invention
The present invention proposes a kind of multifunctional intellectual gate control system, solves gate control system switch requirements of process in prior art
Optional equipment IC-card, simultaneously gate inhibition open and there is security risk.
The technical scheme is that and be achieved in that：Multifunctional intellectual gate control system, including access controller, described door
Prohibit controller and be connected with bio-identification unit, described access controller is connected with memory, and described memory memory storage has user
Information, described access controller is connected with indicating member, and described access controller is connected with card reader, and described access controller is even
It is connected to scrambler.
As one kind preferred embodiment, described access controller is worked as according to bio-identification unit, card reader, scrambler
In arbitrary input information, carry out matching treatment according to arbitrary input information and with the user profile in memory, work as any one
When meeting matching degree more than the first preset value, access control is opened, and is pointed out；It is more than second when any one meets matching degree
During preset value, access control is opened.
As one kind preferred embodiment, described bio-identification unit include acoustic image collecting unit, iris recognition unit,
In palm shape recognition unit any one or several.
As one kind preferred embodiment, described acoustic image collecting unit captures visit person's photo and acoustic information, transfers
Camera position is simultaneously continuously captured three times, is mated when capturing data in three film,fault memories, any one photo with deposit
When in reservoir, Data Matching degree is less than three pre-set threshold value, and visit person's fingerprint of fingerprint recognition system collection and number in memory
During according to mismatching, carry out police instruction, access controller is carried out according to data in acoustic information and the memory of collection simultaneously
Join, when matching degree is less than four preset values, carry out police instruction.
As one kind preferred embodiment, define the weight coefficient of Sound Match degree and images match degree, according to power
Weight system, redefines acoustic image matching degree, and when acoustic image matching degree meets more than five pre-set threshold value, access control is opened.
As one kind preferred embodiment, capture pictures being mated, in accordance with the following steps with data in memory
Carry out, S1：Determine visit person's face contour；S2：Determine that visit person face organ is distributed；S3：Determine visit person's colour of skin and line
Reason rule；S4：Determine visit person's Facial symmetry rule；S5：According to visit person's dynamic diagram sequences, determine its sports rule；S6：
According to sports rule, determine visit person and pointed out.
As one kind preferred embodiment, determine in step S1 visit person's face contour include gathering crown outline line,
Left side of the face wheel and right side face wheel, carry out rim detection to arbitrary image, and to the edge extracting curvilinear characteristic after refinement, Ran Houji
Calculate the valuation functions that each curve combination becomes face.
As one kind preferred embodiment, according to visit person's dynamic diagram sequences in step S5, including utilizing random function
The set being formed, is presented as the random process of the observation sequence being associated with each state of Markov chain, is provided with observation
Sequence Q=Q1Q2 ... Qn and state set=S { s1, s2 ... sn }, a hidden Markov model λ having n state can represent
(π, A, B), wherein π are initial state probabilities vector；A={ aij } is state transition probability matrix, wherein aij=P { qt+1=
Sj | qt=St }, 1<=i, j<=N；B={ bj } Qt) } for observing symbol probability distribution, if B has M observed value { v1, v2 ...
Mv }, then bj (Qt)=P qt=vk | qt=sj, 1<=j<=N, l<=k<=M }.
As one kind preferred embodiment, HMM parameter estimation can use Baum-welch parameter estimation algorithm or
Segmental K-means algorithm；Evaluation to test sample, can estimate signature with Forward-Backward iterative algorithm
Meet the probability of model, or the optimum state being passed through with viterbi optimum state searching algorithm calculating process；Right after video capture
Gradation of image carries out equilibrium treatment, and definition process input picture is A (x, y), and output image is B (x, y), then point processing can represent
For：B (x, y)=f [A (x, y)], wherein function f are greyscale transformation function.
As one kind preferred embodiment, the colour of skin and texture rule are determined in step S3, including setting up complexion model
To characterize face color, to carry out detection and the segmentation of face and organ, utilization space gray scale using photosensitive model
Co-occurrence matrix texture information carries out the Face datection of low resolution as feature, then carries out color, shape cooperation together
Face datection.
After employing technique scheme, the invention has the beneficial effects as follows：
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, also may be used
So that other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the schematic flow sheet of image recognition of the present invention.
Specific 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 description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
As shown in Figure 1-2, this multifunctional intellectual gate control system, including access controller, described access controller is connected with
Bio-identification unit, described access controller is connected with memory, and described memory memory storage has user profile, described gate inhibition's control
Device processed is connected with indicating member, and described access controller is connected with card reader, and described access controller is connected with scrambler.
Described access controller according to the arbitrary input information in the middle of bio-identification unit, card reader, scrambler, according to appointing
One input information simultaneously carries out matching treatment with the user profile in memory, is more than the first preset value when any one meets matching degree
When, access control is opened, and is pointed out；When any one meets matching degree and is more than the second preset value, access control is opened.
Described bio-identification unit includes acoustic image collecting unit, iris recognition unit, any one in palm shape recognition unit
Plant or several.
Described acoustic image collecting unit captures visit person's photo and acoustic information, transfers camera position and continuously captures three
Secondary, mated when capturing data in three film,fault memories, any one photo and Data Matching degree in memory are less than the
During three pre-set threshold value, and when visit person's fingerprint of fingerprint recognition system collection is mismatched with data in memory, carry out warning and refer to
Show, access controller is mated with data in memory according to the acoustic information of collection simultaneously, when matching degree is pre- less than the 4th
If during value, carrying out police instruction.
Define the weight coefficient of Sound Match degree and images match degree, according to weight system, redefine acoustic image coupling
Degree, when acoustic image matching degree meets more than five pre-set threshold value, access control is opened.
Capture pictures are simultaneously mated with data in memory, carry out in accordance with the following steps, S1：Determine visit person's face wheel
Wide；S2：Determine that visit person face organ is distributed；S3：Determine visit person's colour of skin and texture rule；S4：Determine visit person's face
Rule of symmetry；S5：According to visit person's dynamic diagram sequences, determine its sports rule；S6：According to sports rule, determine visit person
And pointed out.
Determine in step S1 that visit person's face contour includes gathering crown outline line, left side of the face wheel and right side face wheel, to appointing
It is intended to as carrying out rim detection, and to the edge extracting curvilinear characteristic after refinement, then calculate each curve combination and become commenting of face
Estimate function.
According to visit person's dynamic diagram sequences in step S5, including the set being formed using random function, be presented as with
The random process of the observation sequence that each state of Markov chain is associated, is provided with observation sequence Q=Q1Q2 ... Qn and state
Collection=S { s1, s2 ... sn }, a hidden Markov model λ having n state can represent (π, A, B), and wherein π is initial shape
State probability vector；A={ aij } is state transition probability matrix, wherein aij=P qt+1=Sj | and qt=St }, 1<=i, j<=
N；B={ bj } Qt) } for observe symbol probability distribution, if B has M observed value { v1, v2 ... mv }, then bj (Qt)=P qt=vk |
Qt=sj, 1<=j<=N, l<=k<=M }.
The estimation of HMM parameter can use Baum-welch parameter estimation algorithm or Segmental K-means algorithm；To test
With Forward-Backward iterative algorithm, the evaluation of sample, can estimate that signature meets the probability of model, or with viterbi
The optimum state that excellent state search algorithm calculating process is passed through；After video capture, equilibrium treatment is carried out to gradation of image, at definition
Reason input picture is A (x, y), and output image is B (x, y), then point processing is represented by：B (x, y)=f [A (x, y)], wherein letter
Number f is greyscale transformation function.
Determine the colour of skin and texture rule in step S3, to characterize face color including setting up complexion model, using photosensitive
Model carries out detection and the segmentation of face and organ, and utilization space gray level co-occurrence matrixes texture information is as feature
Carry out the Face datection of low resolution, then color, shape cooperation are carried out Face datection together.
The operation principle of this multifunctional intellectual gate control system is：
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement made etc., should be included within the scope of the present invention.
Claims (10)
1. it is characterised in that including access controller, described access controller is connected with biological knowledge to multifunctional intellectual gate control system
Other unit, described access controller is connected with memory, and described memory memory storage has user profile, and described access controller is even
It is connected to indicating member, described access controller is connected with card reader, described access controller is connected with scrambler.
2. multifunctional intellectual gate control system according to claim 1 is it is characterised in that described access controller is according to biology
Arbitrary input information in the middle of recognition unit, card reader, scrambler, believes according to arbitrary input information and with the user in memory
Breath carries out matching treatment, and when any one meets matching degree and is more than the first preset value, access control is opened, and is pointed out；When
When any one meets matching degree more than the second preset value, access control is opened.
3. multifunctional intellectual gate control system according to claim 2 is it is characterised in that described bio-identification unit includes sound
As collecting unit, iris recognition unit, in palm shape recognition unit any one or several.
4. multifunctional intellectual gate control system according to claim 3 is it is characterised in that described acoustic image collecting unit is captured
Visit person's photo and acoustic information, transfer camera position continuously candid photograph three times, when capturing data in three film,fault memories
Mated, when any one photo is less than three pre-set threshold value with Data Matching degree in memory, and fingerprint recognition system is adopted
When visit person's fingerprint of collection is mismatched with data in memory, carry out police instruction, access controller is according to the sound of collection simultaneously
Message breath is mated with data in memory, when matching degree is less than four preset values, carries out police instruction.
5. multifunctional intellectual gate control system according to claim 4 is it is characterised in that define Sound Match degree and image
The weight coefficient of matching degree, according to weight system, redefines acoustic image matching degree, presets more than the 5th when acoustic image matching degree meets
During threshold values, access control is opened.
6. multifunctional intellectual gate control system according to claim 4 it is characterised in that capture pictures and with memory in number
According to being mated, carry out in accordance with the following steps, S1：Determine visit person's face contour；S2：Determine that visit person face organ is distributed；
S3：Determine visit person's colour of skin and texture rule；S4：Determine visit person's Facial symmetry rule；S5：According to visit person's Dynamic Graph
Sequence, determines its sports rule；S6：According to sports rule, determine visit person and pointed out.
7. multifunctional intellectual gate control system according to claim 6 is it is characterised in that determine visit person's face in step S1
Profile includes gathering crown outline line, left side of the face wheel and right side face wheel, carries out rim detection to arbitrary image, and to refinement after
Edge extracting curvilinear characteristic, then calculates the valuation functions that each curve combination becomes face.
8. multifunctional intellectual gate control system according to claim 7 is it is characterised in that dynamic according to visit person in step S5
Graphic sequence, including the set being formed using random function, is presented as the observation being associated with each state of Markov chain
The random process of sequence, is provided with observation sequence Q=Q1Q2 ... Qn and state set=S { s1, s2 ... sn }, one has n state
Hidden Markov model λ can represent (π, A, B), and wherein π is initial state probabilities vector；A={ aij } is state transition probability
Matrix, wherein aij=P qt+1=Sj | and qt=St }, 1<=i, j<=N；B={ bj } Qt) } for observing symbol probability distribution, if
B has M observed value { v1, v2 ... mv }, then bj (Qt)=P qt=vk | qt=sj, 1<=j<=N, l<=k<=M }.
9. multifunctional intellectual gate control system according to claim 8 is it is characterised in that the estimation of HMM parameter can use Baum-
Welch parameter estimation algorithm or Segmental K-means algorithm；Evaluation to test sample, can use Forward-
Backward iterative algorithm estimates that signature meets the probability of model, or with viterbi optimum state searching algorithm calculating process warp
The optimum state crossed；After video capture, gradation of image is carried out with equilibrium treatment, definition process input picture is A (x, y), output figure
Picture is B (x, y), then point processing is represented by：B (x, y)=f [A (x, y)], wherein function f are greyscale transformation function.
10. multifunctional intellectual gate control system according to claim 9 it is characterised in that in step S3 determine the colour of skin and
Texture rule, to characterize face color including setting up complexion model, to carry out face and organ using photosensitive model
Detection and segmentation, utilization space gray level co-occurrence matrixes texture information carries out the Face datection of low resolution, then as feature
Color, shape cooperation are carried out together Face datection.
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| CN201610741246.3A CN106447840A (en) | 2016-08-26 | 2016-08-26 | Multifunctional intelligent entrance guard system |
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| CN201610741246.3A CN106447840A (en) | 2016-08-26 | 2016-08-26 | Multifunctional intelligent entrance guard system |
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| CN110189452A (en) * | 2019-06-06 | 2019-08-30 | 广州小鹏汽车科技有限公司 | Access processing method, device, system and the vehicle of car key |
| CN110599639A (en) * | 2019-08-13 | 2019-12-20 | 深圳市天彦通信股份有限公司 | Identity verification method and related product |
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Application publication date: 20170222 |