CN106384406A - Internet safety protection system with protection device - Google Patents
Internet safety protection system with protection device Download PDFInfo
- 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
- Authority
- 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
Links
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
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
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610741272.6A CN106384406A (en) | 2016-08-26 | 2016-08-26 | Internet safety protection system with protection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610741272.6A CN106384406A (en) | 2016-08-26 | 2016-08-26 | Internet safety protection system with protection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106384406A true CN106384406A (en) | 2017-02-08 |
Family
ID=57917417
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610741272.6A Pending CN106384406A (en) | 2016-08-26 | 2016-08-26 | Internet safety protection system with protection device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106384406A (en) |
Cited By (3)
| 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 |
Citations (6)
| 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 |
| CN103839223A (en) * | 2012-11-21 | 2014-06-04 | 华为技术有限公司 | Image processing method and image processing device |
| 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 |
-
2016
- 2016-08-26 CN CN201610741272.6A patent/CN106384406A/en active Pending
Patent Citations (6)
| 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 |
| CN103839223A (en) * | 2012-11-21 | 2014-06-04 | 华为技术有限公司 | Image processing method and image processing device |
| CN105528616A (en) * | 2015-12-02 | 2016-04-27 | 深圳Tcl新技术有限公司 | Face recognition method and device |
| 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 |
Cited By (3)
| 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 |
| 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 |
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108520216B (en) | Gait image-based identity recognition method | |
| US7869657B2 (en) | System and method for comparing images using an edit distance | |
| CN108229335A (en) | It is associated with face identification method and device, electronic equipment, storage medium, program | |
| CN109522853B (en) | Face datection and searching method towards monitor video | |
| WO2021082118A1 (en) | Person re-identification method and apparatus, and terminal and storage medium | |
| CN104036236B (en) | A kind of face gender identification method based on multiparameter exponential weighting | |
| CN206224639U (en) | A kind of face recognition door control system with occlusion detection function | |
| CN104091176A (en) | Technology for applying figure and head portrait comparison to videos | |
| CN109190475A (en) | A kind of recognition of face network and pedestrian identify network cooperating training method again | |
| CN107169479A (en) | Intelligent mobile equipment sensitive data means of defence based on fingerprint authentication | |
| WO2019153175A1 (en) | Machine learning-based occluded face recognition system and method, and storage medium | |
| CN107609515B (en) | Double-verification face comparison system and method based on Feiteng platform | |
| CN110503760A (en) | Access control method and access control system | |
| CN107481374A (en) | A kind of intelligent terminal unlocked by fingerprint door opener | |
| CN106384406A (en) | Internet safety protection system with protection device | |
| CN113205002B (en) | Low-definition face recognition method, device, equipment and medium for unlimited video monitoring | |
| CN104408741A (en) | Video global motion estimation method with sequential consistency constraint | |
| CN107944395A (en) | A kind of method and system based on neutral net verification testimony of a witness unification | |
| CN109063643A (en) | A kind of facial expression pain degree recognition methods under the hidden conditional for facial information part | |
| CN112150692A (en) | Access control method and system based on artificial intelligence | |
| Yang et al. | A Face Detection Method Based on Skin Color Model and Improved AdaBoost Algorithm. | |
| CN108648312A (en) | Recognition of face Intelligent greeting method and system | |
| CN111985332A (en) | Gait recognition method for improving loss function based on deep learning | |
| CN106447840A (en) | Multifunctional intelligent entrance guard system | |
| Jingade et al. | DOG-ADTCP: A new feature descriptor for protection of face identification system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170208 |