CN106384406A - Internet safety protection system with protection device - Google Patents

Internet safety protection system with protection device Download PDF

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Publication number
CN106384406A
CN106384406A CN201610741272.6A CN201610741272A CN106384406A CN 106384406 A CN106384406 A CN 106384406A CN 201610741272 A CN201610741272 A CN 201610741272A CN 106384406 A CN106384406 A CN 106384406A
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CN
China
Prior art keywords
protection device
visit person
face
protection
internet safety
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
Application number
CN201610741272.6A
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Chinese (zh)
Inventor
钱丽娟
钱程
王家旺
赵彬
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Hefei If Letter Of Intelligent Engineering Co Ltd
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Hefei If Letter Of Intelligent Engineering Co Ltd
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Publication date
Application filed by Hefei If Letter Of Intelligent Engineering Co Ltd filed Critical Hefei If Letter Of Intelligent Engineering Co Ltd
Priority to CN201610741272.6A priority Critical patent/CN106384406A/en
Publication of CN106384406A publication Critical patent/CN106384406A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual 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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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Collating Specific Patterns (AREA)
  • Image Processing (AREA)

Abstract

The present invention provides an internet safety protection system with a protection device. The system comprises an entrance guard system. The entrance guard system is connected with a network server through an Ethernet. The network server is provided with a memory. The entrance guard system detects a visitor and records the information of the visitor in the memory. The entrance guard system is provided with a protection device. According to the technical scheme of the invention, the safety protection system is prevented from being damaged from the outside. Meanwhile, whether the unlocking is conducted or not can be simply and accurately judged through the facial recognition or the fingerprint recognition. Therefore, the process is simple.

Description

Internet safety-protection system with protection device
Technical field
The invention belongs to monitoring technology field, particularly to a kind of internet safety-protection system with protection device.
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.
Therefore, need now a kind of internet safety-protection system with protection device badly, can simply exactly pass through face or Person's fingerprint recognition, it is determined whether unlock, flow process is simple.
Content of the invention
The present invention proposes a kind of internet safety-protection system with protection device, solves safety-protection system needs in prior art It is equipped with the problem of IC-card.
The technical scheme is that and be achieved in that:With the internet safety-protection system of protection device, including gate control system, Described gate control system is connected with the webserver by Ethernet, and the described webserver is provided with memory, described gate inhibition system System detects visit person and records visit person's information in memory, described gate control system is provided with protection device.
As one kind preferred embodiment, described gate control system includes video camera and fingerprint recognition system, described deposits Be preset with user fingerprints information and photographic intelligence in storage, described gate control system according to visit person's photo of video capture and/ Or visit person's fingerprint of fingerprint recognition system collection, and it is contrasted with the presupposed information in memory, it is determined whether open Put gate inhibition or carry out alert process.
As one kind preferred embodiment, described gate control system captures visit person's photo, transfers camera position and connects Continue and capture three times, mated when capturing data in three film,fault memories, Data Matching in any one photo and memory Degree is less than pre-set threshold value, and when visit person's fingerprint of fingerprint recognition system collection is mismatched with data in memory, is reported to the police Instruction.
As one kind preferred embodiment, described capture pictures being mated, according to as follows with data in memory Step is carried 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 with And texture rule;S4:Determine visit person's Facial symmetry rule;S5:According to visit person's dynamic diagram sequences, determine its motion rule Then.
As one kind preferred embodiment, determine in described step S1 that visit person's face contour includes gathering crown profile 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, so Calculate the valuation functions that each curve combination becomes face afterwards.
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.
As one kind preferred embodiment, after video capture, gradation of image is carried out with equilibrium treatment, definition process inputs Image 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 function f are Greyscale transformation function.
As one kind preferred embodiment, coloured image is transformed into gray level image and adopt formula:Gray=0.39 Wherein, gray is gray value to × R+0.50 × G+0.11 × B (formula 3), and R, G, B are respectively red, green and blue color component value.
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:The present invention passes through pre-set user in server Finger print information and photographic intelligence, then utilize the gate control system to gather the photo of visit person and fingerprint, will be gathered using algorithm Photo is compared with default information, when comparison combines and meets certain condition, opens gate control system it is not necessary to artificial grasp Make;When visit person is unsatisfactory for matching condition, system will not open gate inhibition, and carries out police instruction after a certain time, entirely Safety-protection system is not required to manually to operate, and flow process is simple.
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 block diagram of the present invention;
Fig. 2 is the recognition methods schematic flow sheet 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 internet safety-protection system with protection device, including gate control system, described gate control system is led to Cross Ethernet and be connected with the webserver, the described webserver is provided with memory, described gate control system detection visit person and To in memory, described gate control system is provided with protection device to record visit person's information.Protection device adopt transparent case or Person's guard, is advisable with blocking gate control system collection visit person's photo and finger print information.
Described gate control system includes video camera and fingerprint recognition system, be preset with described storage user fingerprints information with And photographic intelligence, the visit that described gate control system gathers according to visit person's photo and/or the fingerprint recognition system of video capture Person's fingerprint, and it is contrasted with the presupposed information in memory, it is determined whether open gate inhibition or carry out alert process.
Described gate control system captures visit person's photo, transfers camera position and continuously captures three times, when three photographs of candid photograph In piece memory, data is mated, and any one photo is less than pre-set threshold value with Data Matching degree in memory, and fingerprint is known When visit person's fingerprint of other system acquisition is mismatched with data in memory, carry out police instruction.
Described capture pictures are simultaneously mated with data in memory, carry out in accordance with the following steps, S1:Determine visit person face Contouring;S2:Determine that visit person face organ is distributed;S3:Determine visit person's colour of skin and texture rule;S4:Determine visit person Facial symmetry rule;S5:According to visit person's dynamic diagram sequences, determine its sports rule.
Determine in described step S1 that visit person's face contour includes gathering crown outline line, left side of the face wheel and right side face wheel, Arbitrary image is carried out with rim detection, and to the edge extracting curvilinear characteristic after refinement, then calculates each curve combination and become face Valuation functions.
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, gradation of image is carried out with equilibrium treatment, definition process input picture is A (x, y), output image is B (x, y), then point processing be represented by:B (x, y)=f [A (x, y)], wherein function f are greyscale transformation function.
Coloured image is transformed into gray level image and adopts formula:Gray=0.39 × R+0.50 × G+0.11 × B (formula 3) Wherein, gray is gray value, and R, G, B are respectively red, green and blue color component value.
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 internet safety-protection system with protection device is:The present invention passes through pre-set user in server Finger print information and photographic intelligence, then utilize the gate control system to gather the photo of visit person and fingerprint, will be gathered using algorithm Photo is compared with default information, when comparison combines and meets certain condition, opens gate control system it is not necessary to artificial grasp Make;When visit person is unsatisfactory for matching condition, system will not open gate inhibition, and carries out police instruction after a certain time, entirely Safety-protection system is not required to manually to operate, and flow process is simple.
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 gate control system, described gate control system passes through ether to the internet safety-protection system with protection device Net is connected with the webserver, and the described webserver is provided with memory, and described gate control system detects visit person and record is visitd To in memory, described gate control system is provided with protection device to visit person's information.
2. the internet safety-protection system with protection device according to claim 1 is it is characterised in that described gate control system bag Include video camera and fingerprint recognition system, in described storage, be preset with user fingerprints information and photographic intelligence, described gate inhibition system Visit person's fingerprint that system gathers according to visit person's photo of video capture and/or fingerprint recognition system, and by itself and memory In presupposed information contrasted, it is determined whether open gate inhibition or carry out alert process.
3. the internet safety-protection system with protection device according to claim 2 is it is characterised in that described gate control system is grabbed Clap visit person's photo, transfer camera position and continuously capture three times, mated when capturing data in three film,fault memories, Any one photo and Data Matching degree in memory are less than pre-set threshold value, and visit person's fingerprint of fingerprint recognition system collection with When data mismatches in memory, carry out police instruction.
4. the internet safety-protection system with protection device according to claim 3 it is characterised in that described capture pictures simultaneously Mated with data in memory, carried out in accordance with the following steps, S1:Determine visit person's face contour;S2:Determine visit person face Portion's organ distribution;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 diagram sequences, determine its sports rule.
5. the internet safety-protection system with protection device according to claim 4 is it is characterised in that in described step S1 really Determine visit person's face contour to include gathering crown outline line, left side of the face wheel and right side face wheel, rim detection carried out to arbitrary image, And to the edge extracting curvilinear characteristic after refinement, then calculate the valuation functions that each curve combination becomes face.
6. the internet safety-protection system with protection device according to claim 4 is it is characterised in that according to visiing in step S5 Visit person's dynamic diagram sequences, including the set being formed using random function, are presented as related to each state of Markov chain The random process of the observation sequence of connection, is provided with observation sequence Q=Q1Q2 ... Qn and state set=S { s1, s2 ... sn }, one has n The hidden Markov model λ of individual state 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) } general for observing symbol Rate be distributed, if B has M observed value { V1, V2 ... Vm }, then bj (Qt)=P qt=vk | qt=sj, 1<=j<=N, l<=k<= M}.
7. the internet safety-protection system with protection device according to claim 6 is it is characterised in that the estimation of HMM parameter Available Baum-welch parameter estimation algorithm or Segmental K-means algorithm;Evaluation to test sample, Ke Yiyong Forward-Backward iterative algorithm estimates that signature meets the probability of model, or with viterbi optimum state searching algorithm meter The optimum state that calculation process is passed through.
8. the internet safety-protection system with protection device according to claim 7 is it is characterised in that to figure after video capture As gray scale carries out equilibrium treatment, 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.
9. the internet safety-protection system with protection device according to claim 8 is it is characterised in that convert coloured image Become gray level image and adopt formula:Gray=0.39 × R+0.50 × G+0.11 × B (formula 3) wherein, gray be gray value, R, G, B is respectively red, green and blue color component value.
10. the internet safety-protection system with protection device according to claim 9 is it is characterised in that determine in step S3 The colour of skin and texture rule, to characterize face color including setting up complexion model, to carry out Complex Background using photosensitive model The detection of face and organ and segmentation, utilization space gray level co-occurrence matrixes texture information carries out the face inspection of low resolution as feature Survey, then color, shape cooperation are carried out Face datection together.
CN201610741272.6A 2016-08-26 2016-08-26 Internet safety protection system with protection device Pending CN106384406A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107256608A (en) * 2017-08-14 2017-10-17 合肥裕亿农业技术开发有限公司 A kind of cultivation safety-protection system that can be remotely captured based on mobile Internet
CN108492415A (en) * 2018-03-20 2018-09-04 佛山市聚成知识产权服务有限公司 A kind of internet safety-protection system
WO2019153128A1 (en) * 2018-02-06 2019-08-15 深圳市汇顶科技股份有限公司 Fingerprint data processing method and device, and computer readable storage medium

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CN102034288A (en) * 2010-12-09 2011-04-27 江南大学 Multiple biological characteristic identification-based intelligent door control system
US20130008958A1 (en) * 2011-07-08 2013-01-10 Kyle Patrick Smith Payment authorized lock system and methods of making and using the same
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CN105488888A (en) * 2016-01-15 2016-04-13 宁波力芯科信息科技有限公司 Intelligent entrance guard system
CN105528616A (en) * 2015-12-02 2016-04-27 深圳Tcl新技术有限公司 Face recognition method and device

Patent Citations (6)

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Publication number Priority date Publication date Assignee Title
CN1403997A (en) * 2001-09-07 2003-03-19 昆明利普机器视觉工程有限公司 Automatic face-recognizing digital video system
CN102034288A (en) * 2010-12-09 2011-04-27 江南大学 Multiple biological characteristic identification-based intelligent door control system
US20130008958A1 (en) * 2011-07-08 2013-01-10 Kyle Patrick Smith Payment authorized lock system and methods of making and using the same
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107256608A (en) * 2017-08-14 2017-10-17 合肥裕亿农业技术开发有限公司 A kind of cultivation safety-protection system that can be remotely captured based on mobile Internet
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CN108492415A (en) * 2018-03-20 2018-09-04 佛山市聚成知识产权服务有限公司 A kind of internet safety-protection system

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Application publication date: 20170208