CN110491004A - A kind of residential communities personnel security management system and method - Google Patents

A kind of residential communities personnel security management system and method Download PDF

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CN110491004A
CN110491004A CN201910747320.6A CN201910747320A CN110491004A CN 110491004 A CN110491004 A CN 110491004A CN 201910747320 A CN201910747320 A CN 201910747320A CN 110491004 A CN110491004 A CN 110491004A
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CN110491004B (en
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徐永华
孙炯宁
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Shenzhen Yilian Technology Co ltd
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Jinling Institute of Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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    • G06Q50/265Personal security, identity or safety
    • 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
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns

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Abstract

The present invention proposes the community personnel safety management system and method for a kind of compatibility vehicle based on artificial intelligence and external managing caller, it is manually inefficient to community personnel safety management especially to entering community personnel with vehicle and visitor can not carry out effectively identifying management to solve the problem of.Wherein, the artificial intelligence is mainly by Face datection and identification technology, the community personnel safety management system, including subsystem modules and central servers such as vehicle management system, multi information acquisition dot system, intelligent entrance guard management control system, Face datection identifying system, database storage system, visitor management systems.

Description

A kind of residential communities personnel security management system and method
Technical field
The present invention relates to the community personnel safety management fields based on artificial intelligence, more particularly to are compatible with vehicle occupant and face When access personal management community personnel method for managing security.
Background technique
With the development of artificial intelligence and network communication technology, instead of the recognition of face class intelligent entrance guard management system of access card Application of uniting is more and more wider, gradually spreads to common residential area from initial security type unit, so that the personnel of confirmation identity It can be passed in and out by brush face, improve safety and the administrative convenience of personal management.Compared with other identification technologies, face is known Do not have the advantages that many uniquenesses, such as: 1) untouchable acquisition image, concealment is strong, the psychological acceptance of all personnel Height is easy to be received by user.Due to be it is non-contacting, setting can be hidden when necessary.2) face have uniqueness, be difficult by It is counterfeit, it easily obtains, easy to identify, accuracy is high, securely and reliably.3) equipment price for acquiring face is cheap, at low cost, easy to operate, It can generally use.Currently used face identification system is based primarily upon embedded intelligence system, and development of embedded system is till now Generally combine with network.Comprehensively consider from various aspects such as versatility, safety, maturity and costs, utilizes embedded system System intelligent terminal is the inexorable trend of recognition of face development, and maturation is applied to access control system at present, raw in recent years Output Related product.
In the prior art, the basis of recognition of face is Face datection, and the target of Face datection is to obtain face effective coverage. In current many algorithms, during carrying out Face datection, face can be accurately positioned out and carry out Image Acquisition, with It is extracted in next face characteristic.Before extracting feature, generally the image of detection is pre-processed, these pretreatment packets The processing methods such as normalization are included, the face characteristic detected is then extracted using certain face characteristic representation method, with same The method of sample indicates the known facial image saved in database.Common representation method has geometrical characteristic (such as Euclidean distance, song Rate, angle), algebraic characteristic (such as matrix characteristic vector), fixed character template.Currently, mainly having in the prior art following several Class face identification method: (1) based on the recognition methods of geometrical characteristic: the parts such as human face's eyebrow, eyes, nose, mouth, ear Be distributed in the different location of face, geometrical relationship be it is fixed, people can be expressed according to the feature difference of these components on face Face.Specifically, the feature IZOD curvature on face, angle, Euclidean distance of two o'clock etc. can be by a geometrical characteristic vectors It indicates, feature vector one by one constitutes face feature vector matrix.Realize recognition of face, it can be according to these vector differences It is different, with classifier face classification.It (2) is current all algorithms based on the face identification method of statistics, such as principal component analysis The middle most common algorithm of application.(3) based on the method for connection mechanism: for example, elastic graph matching method and artificial neural network side Method.In addition, also containing the face identification method etc. based on data fusion.
The committed step of recognition of face is to carry out recognition of face to the facial image detected.Identification process is the people of input Face feature and the face characteristic for being registered in human face data concentration are matched, and are compared according to the threshold value of matching fractional value and setting Compared with similarity height then thinks that people detected is recognition result can be sent to access control system in permission, and door lock is beaten It opens, otherwise is rejected for entry into.Since face recognition process is influenced greatly by the variation of hair style, light, shelter etc., so, in people Spare identifying system is generally required in face identification gate control system.
In existing patent, 106952368 A of CN discloses a kind of entrance guard's internet management system and its control method, packet Include artificial intelligence visitor all-in-one machine, human-computer interaction module, image capture module, picture recognition module, access control module, intelligence Terminal device and the network equipment.
However, in this method, visitor personnel need first to install register visitor's personnel's APP software client end subscriber after, also It to be built up mutual trust relationship by internet to interviewed personnel APP software client, then pass through its interviewed personnel APP software client The number that visitor personnel enter gate inhibition within the stipulated time is set, and interviewed personnel just have access entitlements.Therefore, this application Management process is cumbersome, wastes the plenty of time of access personnel and neighbours living, does not operate convenience.
CN 201811603146 discloses a kind of novel access control system and detection method, including gate module, camera shooting Module, control module, infrared induction module, alarm module and memory module, the gate module, photographing module, Yi Jihong Outer induction module connects the control module;The gate module is used to control the disengaging of user, and the photographing module is for clapping User's facial image is taken the photograph, for detecting whether there is personnel's arrival, the control module is used for user the infrared induction module It carries out recognition of face and judges user right, the memory module is used for the household information in entrance guard management region.Although the Shen Please pass through the setting to visitor's permission and face recognition technology is cooperated to realize the automation to neighbours living disengaging cell Management, but convenience is lacked to managing caller, such as need to be arranged by access personnel in the memory module visited Japan in system Middle record authorization disengaging gate number, however the number for passing in and out cell often has randomness, especially for courier, arrives Visiting number has not predictability.Serious inconvenience is brought to access personnel.It is only the management for realizing resident, in addition, Also the management measure for trailing the personnel for entering cell is not provided.
CN 208521347 provides a kind of villa recognition of face gate inhibition security protection videophone integrated system, including master control core Piece, face recognition module, videophone module, gating module, USB face acquisition camera, human face data library module, monitoring number According to memory module;The gating module, face recognition module, videophone module, human face data library module, supervising data storage Module is connected with the main control chip;The USB face acquisition camera, respectively with the face recognition module, visual electricity Talk about module connection;The main control chip is used to control the collaborative work of each intermodule of the all-in-one machine.Although this application realizes Recognition of face is opened the door, and can by USB face acquisition camera in front of the door the case where recorded a video and store relative influence data, Security performance is improved, but this gate function is relatively single, cannot carry out safety management to surrounding enviroment and personnel, It is only applicable to the single villa in rural area.
CN 109102610 discloses a kind of cell safety security safety door prohibition system, is related to gate inhibition system technology neck Domain.The present invention includes camera shooting camera arrangement, image data base, infrared sensing monitoring device, data input device, audio alert dress It sets and gate hoist;Image information collecting unit, analysis of image data unit, monitoring information acquisition unit, data acquisition Unit, data analysis comparing unit and information process unit.Although this application can identify the personnel of swiping the card, avoid non- Cell personnel find access card and enter cell, still, the system need to be arranged infrared sensing monitoring device monitoring by gate into The number for entering cell needs to input the number for entering cell when swiping the card, and so operation could remind Security Personnel, although theoretical On can be avoided non-cell personnel and trail resident and enter cell, but actual operation is not strong, especially in the commuter time When densely populated place passes in and out, carrying out verifying by way of the number of input seriously reduces traffic efficiency and trailing can not be prevented to be mixed into Situation.
To sum up, existing face recognition door control system lacks tightness and comprehensive, cannot especially stranger be overcome to trail Into or the drawbacks of leave, reduce the safety of recognition of face management.It in addition is exactly the vehicle for entering cell by vehicle entrance Interior strange occupant, brings the loophole of community personnel safety management, and the prior art is difficult to corresponding recognition of face and image Acquisition.
Moreover, as the frequent of courier, finishing personnel or resident kith and kin is come to visit, so that visitor passes in and out difficult, verifying Program is cumbersome, and the plenty of time is caused to waste, even more unfavorable especially for the courier management raced against time.
Therefore, for existing residential area personnel situation, it is necessary to improve existing Community Safety management method, need one The community intelligent safety management system and method that kind is highly-safe, management is comprehensive and fast and simple.
Summary of the invention
To overcome above-mentioned prior art defect, the present invention is based on artificial intelligence systems to propose a kind of compatible vehicle and outer visiting The community personnel safety management system and method for visitor's management, it is manually inefficient to community personnel safety management to solve, especially It is to entering community personnel with vehicle and visitor can not carry out the problem of effectively identifying management.
Wherein, the artificial intelligence designs a kind of based on Face datection and knowledge mainly by Face datection and identification technology Other intelligent access control system, the chief component as community personnel safety management.
Wherein, the Community Safety management is also applied for the situation of no entrance guard.
Community personnel safety management system of the present invention includes at least vehicle management system, multi information collection point system The subsystems such as system, intelligent entrance guard management control system, Face datection identifying system, database storage system, visitor management system Module and central server, each subsystem are connected with central server.
Wherein, intelligent access control system of the present invention is divided into the intelligent access control system and house of community's entrance The cell gate intelligent access control system of building each unit.Intelligent access control system includes embedded intelligent equipment terminal.It is described embedded Smart machine terminal includes high-definition camera, electronic control locking device and the Face datection knowledge being connected with community center server The system components such as other module additionally include spare identification module such as fingerprint acquiring and identifying module.Wherein, camera is for leading Dynamic acquisition face face-image, Face datection identification module are detected and are identified ratio to the face face-image of corresponding region Right, opening electronic control lock after comparing successfully allows personnel to pass through, and comparison unsuccessfully reaches certain number and starts spare identifying system, Spare identifying system sends warning message to the server of management system after it fails to match and shows suspicious people in terminal display screen Member's information, is intervened by Community Administrators.
Further, the community personnel safety management system further include spare identifying system such as fingerprint recognition or comprising The two dimensional code of personal information identifies, can to avoid face identification system because blocking, caused by the reasons such as light recognition failures bring Impassable drawback.
Wherein, the main flow of recognition of face of the present invention is each gate inhibition end image collection assembly and other Image Acquisition points Equipment user's facial image is acquired by image capture module, and be sent to face characteristic after image procossing and mention Modulus block extracts face characteristic position;Then central server processing end call face recognition module to the face characteristic of extraction into Row identification compares.Further, setting memory module is used to store the human face data of acquisition, and display module shows recognition of face knot Fruit;Warning module carries out warning note when finding illegal facial image.
Specifically, in community personnel method for managing security of the present invention recognition of face key step are as follows:
1) establish the face information database of the permanent personnel in community: the face image of the acquisition permanent personnel in community simultaneously extracts face spy Reference breath, is stored as permanent face information database.
2) after the camera acquisition facial image of Face datection acquisition module, by the processor of face recognition module to face Image is pre-processed, and is extracted face characteristic information and is compared identification with the face information of face information database purchase.
Wherein, face acquisition equipment is at least set to cell entrance gate inhibition end, each building unit gate inhibition end and vehicle Library personnel's entrance (such as elevator or stair entrance) acquires the total entrance in community, each unit door and garage respectively and enters and leaves The face information of personnel.
Preferably, face information database also includes interim face information database in addition to permanent face information database. Wherein, the permanent face information database purchase community resident and community's property, the staff such as ensure public security, keep a public place clean face letter Breath;The face information of the provisional personnel such as the interim face information database purchase community resident kith and kin, express delivery, can set It is set to timeliness, is deleted after storing a period of time.
Further, spare identification information such as finger print information or individual two are also associated in the face information database Tie up the personal information such as code and corresponding identification card number, contact method, accurate address.
Further, the invention also includes the intelligent video monitorings of the public domains such as floor alien invasion high-altitude, ground, with prison The step of surveying throwing object in high sky, ground staff's abnormal behaviour.
Specifically, to achieve the above object, the present invention provide a kind of compatibility vehicle management based on artificial intelligence system and The community personnel method for managing security of managing caller, the described method comprises the following steps.
Step S1: the current management of personnel at community's entrance.
Firstly, acquiring the face image of community personnel and extracting face characteristic information, community's face information database is established. Secondly, acquiring identification point by the first information of the intelligent entrance guard equipment of community's entrance, it includes man face image acquiring moulds Block, Face datection identification module, can be by the letter in the information of the facial image of collection in worksite and community's face information database Breath carries out identification comparison.
Specifically, step S1 includes step in detail below.
Step S1-1: it establishes community's face information database: acquiring the face image of community personnel and extract face characteristic Information is stored as face information database.It wherein, include permanent face information subdata in community's face information database Library and interim face information subdata base;Wherein, the permanent face information is community resident and community's property, ensures public security, keeps a public place clean The face information of equal staff;The interim face information is the face letter of the provisional personnel such as community resident kith and kin, express delivery Breath.
Preferably, the face information storage time of provisional personnel can be with self-setting, such as one day, and one month or one Year.
Step S1-2: detect face close to when, the intelligent entrance guard equipment of community's entrance passes through Image Acquisition mould The current face information of block collection in worksite and by face recognition module carry out face characteristic extraction, then with face information data inventory Whether the face information of storage compares match cognization, be identical people according to matching similarity and the multilevel iudge of given threshold Face;Gate inhibition is automatically opened after comparing successfully, is allowed access into.
Step S1-3: enabling spare identifying system automatically after it fails to match several times, spare identifying system can not pass through When, which sends warning message and shows a suspect's letter to management system central server and in terminal display screen Breath, by interventions management such as Community Administrators such as securities;Meanwhile the information such as a suspect's face, fingerprint that will acquire are stored in A suspect's information database.
Further, a suspect's information database is not only connected with the central server of community management system, Also with the security administration system of public security organ or be related to all kinds of suspicion personnel police system network, to carry out information exchange.
Further, a suspect's information database is leading by community personnel before being sent to Management system for police It carries out audit confirmation, excludes face and the recognition failures situation caused by external factor such as block.
Step S2: face is set in community's entrance and acquires intelligent terminal to acquire all face numbers for entering community According to and carry out identification comparison.Face acquisition intelligent terminal is arranged in the Way in towards community gate inhibition, while Light source is arranged to provide sufficient shooting environmental light in gate inhibition's Way in.
It is the second information collection identification point that the face, which acquires intelligent terminal,.
Specifically, the acquisition of face described in step intelligent terminal is that active Face datection acquires, and containing can be with Face detection module, man face image acquiring module and the network transmission module of face are detected, or further includes recognition of face Module.The face acquisition intelligent terminal capture to the facial image detected using high-definition camera head assembly to be adopted Collection, while sending server for one to multiple image of acquisition and carrying out feature extraction and identification comparison processing, to pass through Screening obtains the strange personal information for tracking into community, transmission information warning to management system, and stores or show the face Data.
Preferably, the acquisition of face described in step intelligent terminal can be the height containing Face datection candid photograph module Clear Intelligent monitoring camera.
Step S3: on each unit doorway, setting includes the intelligent entrance guard of embedded intelligent equipment terminal, is entered with acquisition single The human face data of first door simultaneously carries out identification comparison.
The cell gate embedded intelligent equipment terminal is third information collection identification point.
The face that corresponding region occurs in the gate inhibition end image collection assembly is acquired, and is sent after image procossing Face characteristic position is extracted to face characteristic extraction module;Then face recognition module to the face characteristic of extraction and is stored in society Face characteristic information in area's face database carries out identification comparison, is according to the face that similarity confirmation will enter cell gate No is a suspect.If comparison passes through, execution automatically opens cell gate gate inhibition, allows access into.
Further, if the facial image that the information gathering point obtains and the facial image being stored in face database When with being unsuccessfully more than certain number, spare identifying system is enabled automatically.
When back-up system cannot be still identified by, intelligent entrance guard terminal to server issues prompt information, and stores, shows Show the human face data.
Step S4: in garage, personnel's entrance setting face acquires intelligent terminal to acquire from garage and enter community's electricity All human face datas of ladder or stair simultaneously carry out identification comparison.The face acquisition intelligent terminal is arranged in garage port side To, while light source is set to provide sufficient shooting environmental light in the direction.
Face acquisition intelligent terminal is the 4th information collection identification point at this.
In the step, face acquires intelligent terminal as the acquisition of active Face datection, and acquisition enters community from garage All human face datas and carry out identification ratio.Face acquisition intelligent terminal is using high-definition camera head assembly to detecting Facial image carry out candid photograph acquisition, while sending server for one to multiple image of acquisition and carrying out feature extraction and knowledge Comparison is not handled, and the strange personal information of community is entered to screen vehicle crew by garage.Strange personnel if it exists send warning Information stores or shows the human face data to management system.
In the step, since entrance is likely to occur more people's scenes, when carrying out recognition of face to facial image, it can be set Low recognition threshold uses the faster face recognition algorithms of recognition speed to obtain relatively high recognition speed, such as threshold value It can be set to 60-70%.
Step S5: the management of visitor personnel: safety management system of the invention still further comprises managing caller subsystem, For being managed to visitor.Steps are as follows.
Step S5-1: when visitor's first pass community gate inhibition, managing caller is entered by the intelligent terminal on community doorway Interface inputs the information for the personnel of being visited, and submits access application;The grant access after administrative staff verify;Then by community Image capture module collection in worksite visitor's human face image information of gate inhibition's intelligent terminal of entrance, and by collection in worksite Human face image information is stored in managing caller subsystem memory module, authorizes the right of access in visitor's certain period of time.
Step S5-2: in the predetermined time period, visitor is by community's internal element gate inhibition or again by community's door When taboo, by image capture module collection in worksite visitor's human face image information of access control terminal equipment, identification module extracts face characteristic Information simultaneously carries out identification matching with the face information prestored in visitor's subsystem, opens access control after matching is qualified, allow into Enter.
Preferably, when visitor personnel enter community gate inhibition, by certificate informations such as intelligent terminal captured identity cards, and with Facial image associated storage.
Management system of the present invention improves access convenience and entrance guard management by visitor's subsystem, and it is interim to solve visitor Property enters the problem of cell especially unit gate inhibition difficulty.It is especially suitable for the disengaging management of the personnel such as express delivery.
Step S6: the three-dimensional video monitoring system that setting ground-high-altitude combines is used for the monitoring of abnormal behaviour: its In, the video monitoring system preferably comprises the intelligent video monitoring system of analysis module.Ground video monitoring system System is mainly used for monitoring the public domains such as community square, road;The high-altitude video monitoring system is equipped with multiple groups and fixes or can turn Dynamic monitoring camera unit, the high empty region of the monitoring covering all floor alien invasions in community.
Step S6-1: the process of ground video monitoring ground personnel's abnormal behaviour is as follows.
1) the video analysis mould of community ground video monitoring system it is integrated there are many personnel's motion detection algorithms, and prestore Motion mathematical model database module;
2) video monitoring is carried out to community ground and obtains video data;Moving target is detected especially according to motion recognition algorithms Personnel targets, and continue tracking and obtain motion profile feature;
3) the track template of the motion profile feature and abnormal behaviour in model database is compared;The abnormal behaviour Including falling down, lying down, gathering of people, chase the behavioural characteristics such as run;
4) warning indicators are issued to control centre according to comparing result, and by manpower intervention management.
Step S6-2: the high-altitude video monitoring system is for monitoring the abnormal behaviours such as throwing object in high sky.Wherein, the high-altitude Video monitoring system contains the analysis module of integrated moving object recognizer, and prestores motion mathematical model database Module;The analysis module can carry out motor behavior intellectual analysis to the video that high-definition camera obtains and extract corresponding Picture transmits data to pipe after carrying out the objects filtration treatments such as flying bird, fallen leaves according to the model prestored in database to picture Reason terminal simultaneously provides warning indicators.
Step S7: the management on children's discrepancy community doorway: children's face information need to be associated with kinsfolk's face information, And the access control system at community's entrance is set as not having independent right of access.That is, the recognition of face of community's access control equipment When module collects the children's face information individually gone out by camera, the face information is in face database temporarily Gate inhibition's right of access is not authorized;Warning indicators are issued by management system at this time and the modes such as phone, short message are passed through by manpower intervention Notice contacts related guardian.
Preferably, the face information of six years old or less children is not stored into community's face database.
In management method of the present invention, vehicle management step S8 is further comprised, it is as follows.
1) when vehicle enters community, community's vehicle management system relevant device at community's vehicle entrance is taken pictures Acquisition vehicle pictorial information is simultaneously uploaded to system server, and vehicle management system is according to the vehicle pictures of acquisition and is stored in data Community's vehicle in library is compared, and compares and successfully then starts the clearance of control channel gate;If there are garage and garages for community There are when remaining parking stall, the gate equipment of garage port is sensed when vehicle is close without that can open vehicle by secondary comparison The passageway gate machine of library entrance.
Wherein, the gate equipment of garage port replaces vehicle recognition unit module with vehicle actuated control module, avoids pair Vehicle is recognized comparison, improves vehicle pass-through efficiency.
Wherein, the vehicle management system includes vehicle pictures acquisition unit, information of vehicles recognition unit, passageway gate machine control Unit processed, wherein information of vehicles recognition unit carries out the information of vehicles in the information of vehicles of cameras capture and storing data library pair Than.
2) when there is strange vehicle to enter community, reservation vehicle and non-reservation vehicle is divided to be managed.
When vehicle, which prepares reservation, enters cell, information of vehicles need to be carried out by community management system or liaison mode in advance Registration, the information of vehicles include at least license plate number, can further include the information such as type of vehicle and vehicle color.
When reserving vehicle and entering community, the system relevant device at community's vehicle entrance capture information of vehicles and with storage Information of vehicles in database is compared, and after comparing successfully, control channel gate is let pass, and unsuccessfully reaches certain time if compared Number, the automatic prompt information that uploads is to administrative staff.
Wherein, information of vehicles is compared compares including at least license plate number, preferably further comprises type of vehicle ratio Pair and vehicle color compare.
3) when non-reservation vehicle (such as taxi, without number plate vehicle) is provisional enters community, by community's vehicle entrance Vehicle management system pass through the strange vehicle do not reserved of matching identification, and issue strange vehicle and will enter the warning of community and mention Show, determines whether to let pass by administrative staff's intervention.
To sum up, the present invention is based on simple and fast and at low cost recognition of face, improve that personnel are complicated, safety management is cumbersome Community personnel safety management efficiency, carry out high-precision detection in gate inhibition key area, in conjunction with community public domain video monitoring, Realize the community personnel safety management of the higher compatible managing caller of comprehensive concealment.
Beneficial effects of the present invention also reside in, and overcoming existing face recognition door control system cannot overcome stranger to trail Into or the drawbacks of leave.In addition, effectively overcoming the interior strange occupant's bring community for entering cell by vehicle entrance The blind area of personnel safety management, the comprehensive recognition of face for being included in management system of all strange personnel for community of having accomplished And Image Acquisition.Meanwhile for courier, the finishing managing callers such as personnel or resident kith and kin, proving program is greatly reduced, The plenty of time of visitor's verification process is saved.
Specific embodiment
Below by specific embodiment, the present invention will be described, but these embodiments are not to reality of the invention Protection scope constitutes any type of any restriction, more non-limitation protection scope of the present invention limitation.
Embodiment one
A kind of community personnel method for managing security based on artificial intelligence system, the system comprises multi information acquisition dot system, The subsystems moulds such as intelligent entrance guard management control system, Face datection identifying system, database storage system, visitor management system Block and central server.It the described method comprises the following steps.
Step S1: be managed to personnel's passage at community's entrance: detailed process is as follows.
Step S1-1: it establishes community's face information database: acquiring the face image of community personnel and extract face characteristic Information is stored as face information database.It wherein, include permanent face information subdata in community's face information database Library and interim face information subdata base;Wherein, the permanent face information is community resident and community's property, ensures public security, keeps a public place clean The face information of equal staff;The interim face information is the face letter of the provisional personnel such as community resident kith and kin, express delivery Breath.
Preferably, the face information storage time of provisional personnel can be set to three months.
Step S1-2: detect face close to when, the intelligent entrance guard equipment of community's entrance passes through Image Acquisition mould The current face information of block collection in worksite and by face recognition module carry out face characteristic extraction, then with face information data inventory Whether the face information of storage compares match cognization, be identical people according to matching similarity and the multilevel iudge of given threshold Face;Gate inhibition is automatically opened after comparing successfully, is allowed access into.
Specifically, Face datection is carried out using the AdaBoost algorithm based on Haar feature when Face datection, passes through peace Dress and call OpenCV in library function and xml document, such as haarcascade frontalface alt2.xml file and Correlation function is realized to the Face detection of acquisition image, collects pretreated Gray Face image.Recognition of face is will be to The face of identification is compared with trained face database, and Euclidean distance can be used and calculate similarity, if similarity is greater than The threshold value of setting then shows corresponding face identity and opens the door.
In the step, recognition of face comparison is carried out according to both signature analysis similarity, threshold value can be set to 0.7, i.e., similarity up to 70% when can confirm and identify successfully.
In the step, the comparison of facial image is settable as follows:
1) after to image normalization processing, to constitute the positions, phase such as facial eyes, nose, mouth, the chin of main feature The geometric data adjusted the distance carries out the identification of different faces.
For example, characteristic point can for right eye angle, left eye angle, nose, the right corners of the mouth, the left corners of the mouth, eyebrow the outer end point, endpoint in eyebrow, Eyebrow the outer end point, eye socket upper extreme point, eye socket lower extreme point, nasion endpoint, wing of nose endpoint, lip endpoint.
Wherein, a central point can be determined according to endpoint in eye socket the outer end point, eye socket upper extreme point, eye socket lower extreme point, eye socket; Such as left eye central point is determined according to endpoint in left eye socket of the eye the outer end point, left eye socket of the eye upper extreme point, left eye socket of the eye lower extreme point, left eye socket of the eye, together It manages and determines right eye central point.
Center of face point is determined according to the midpoint for finding right eye central point and left eye central point line.
Specifically: distance feature vector is constructed based on characteristic point, such as constructs feature vector ginseng as shown in table 1 below Number.
Feature vector parameter of the table 1 based on characteristic point
Parameter name Feature vector meaning
d1 Center of face point and prenasale distance
d 2 Center of face point and left corners of the mouth distance
d 3 Center of face point and right corners of the mouth distance
d 4 Left and right corners of the mouth center is at a distance from prenasale
d 5 The distance between left and right corners of the mouth
d 6 The distance between right and left eyes central point
d 7 The distance between left eye angle and prenasale
d 8 The distance between right eye angle and prenasale
d 9 The distance of endpoint above and below right eye socket of the eye
d 10 The distance of endpoint above and below left eye socket of the eye
2) the histogram component of each parameter is obtained according to the feature vector of extraction to construct histogram, calculates similarity.
Further, 3-5 images is taken to extract feature respectively, take the average value of similarity carry out using.
Step S1-3: face enables the spare identifying system of fingerprint after it fails to match 3 times automatically, and spare identifying system can not By when, which sends warning message and to management system central server and in terminal display screen shows suspicious people Member's information, by interventions management such as Community Administrators such as securities;Meanwhile the information such as a suspect's face, fingerprint that will acquire It is stored in a suspect's information database, data information is carried out and puts on record;When necessary, by a suspect after being confirmed by community personnel audit Information is sent to the security administration system of public security organ.
Step S2: the face acquisition intelligent terminal of high-definition camera is provided in community's entrance to acquire entrance All human face datas of community simultaneously carry out identification comparison.The face acquisition intelligent terminal is arranged in towards community gate inhibition's Way in, while light source is set to provide sufficient shooting environmental light in gate inhibition's Way in.Face acquisition intelligence is eventually End equipment is the second information collection identification point.The face acquires intelligent terminal can be for Face datection identification module Video monitoring equipment.
Candid photograph acquisition is carried out to the facial image detected using high-definition camera head assembly, while by one to multiple of acquisition Image is sent to server and carries out feature extraction and identification comparison processing, to obtain the footpath between fields for tracking into community by screening Raw personal information, transmission information warning to management system, and store or show the human face data.
It is efficient to realize using the business application third party class libraries OpenCV in field of face identification in the step Recognition of face.
Illustratively, the extraction process for carrying out face characteristic using the Haar feature classifiers in the library OpenCV is as follows.
1) Haar feature classifiers are arranged in loading function library, complete feature by xml document corresponding to the classifier Extraction classification;
2) face is detected in picture using face detection function haarDetec:
CvSeq*haarDetect(CvArr*face,CvHaarClassifierCascade*cas,CvSizemin_size)。 Wherein, cas, that is, recognition of face classifier.
3) after obtaining five features data set according to classifier, which is handled to extract the position of characteristic point Data information, then establishes the eigenmatrix of several human face characteristic point distance values, to obtain face feature vector data.Into And histogram is constructed based on the histogram component of each parameter of feature vector according to step S1, calculate similarity.
Wherein, the threshold value of the second information gathering point similarity can be set in low, to improve recognition efficiency.Example It is such as set as 0.6 or 0.7, to quickly screen the strange personnel not in community's face information database.
Step S3: on each unit doorway, setting includes the intelligent entrance guard of embedded intelligent equipment terminal, is entered with acquisition single The human face data of first door simultaneously carries out identification comparison.The cell gate embedded intelligent equipment terminal is third information collection identification point.
The face that corresponding region occurs in the gate inhibition end image collection assembly is acquired, and is sent after image procossing Face characteristic position is extracted to face characteristic extraction module;Then face recognition module to the face characteristic of extraction and is stored in society Face characteristic information in area's face database carries out identification comparison, is according to the face that similarity confirmation will enter cell gate No is a suspect.If comparison passes through, execution automatically opens cell gate gate inhibition, allows access into.Further, if the information is adopted The facial image that collection point obtains and the facial image for storing in face database it fails to match it is severals more than 3 times when, enabling automatically Spare identifying system.When back-up system cannot be still identified by, intelligent entrance guard terminal to server issues prompt information, and deposits It stores up, show the human face data.
The same above-mentioned steps of step face recognition operation.
The threshold value that its similarity compares be set as in it is high, such as 0.8 to 0.9.
Step S4: in garage, personnel's entrance setting face acquires intelligent terminal to acquire from garage and enter community's electricity All human face datas of ladder or stair simultaneously carry out identification comparison.The face acquisition intelligent terminal is arranged in garage port side To, while light source is set to provide sufficient shooting environmental light in the direction.Face acquisition intelligent terminal is the at this Four information collection identification points.
In the step, face is acquired intelligent terminal and is carried out using high-definition camera head assembly to the facial image detected Acquisition is captured, while sending server for one to multiple image of acquisition and carrying out feature extraction and identification comparison processing, with Screening vehicle occupant is entered the strange personal information of community by garage.Strange personnel if it exists, sending information warning to managing is System, and store or show that the human face data carries out data and puts on record.
In the step, since entrance is likely to occur more people's scenes, when carrying out recognition of face to facial image, it is arranged low Recognition threshold uses the faster face recognition algorithms of recognition speed to obtain relatively high recognition speed, such as threshold value can be with It is set as 0.6 or 0.7.
It at least should include that face is examined when face acquisition intelligent terminal uses high-definition video monitoring system at this Survey module and image capture module.Main flow is as follows.
1) it is acquired from camera review and obtains video frame;Real time picture is converted to by function in OpenCV;
2) it detects and acquires human face region when face and generate target face;
3) it extracts face information and is compared with the face information of face database, send warning letter after identifying strange personnel It ceases to management system, and stores or show that the human face data carries out data and puts on record.
Step S5: the visitor for entering community is managed based on managing caller subsystem.Steps are as follows.
Step S5-1: when visitor's first pass community gate inhibition, managing caller is entered by the intelligent terminal on community doorway Interface inputs the information for the personnel of being visited, and submits access application;The grant access after administrative staff verify;Then by community Image capture module collection in worksite visitor's human face image information of gate inhibition's intelligent terminal of entrance, and by collection in worksite Human face image information is stored in managing caller subsystem memory module, authorizes the right of access in visitor's certain period of time.
Step S5-2: in the predetermined time period, visitor is by community's internal element gate inhibition or again by community's door When taboo, by image capture module collection in worksite visitor's human face image information of access control terminal equipment, identification module extracts face characteristic Information simultaneously carries out identification matching with the face information prestored in visitor's subsystem, opens access control after matching is qualified, allow into Enter.
Further, when visitor personnel enter community gate inhibition, by certificate informations such as intelligent terminal captured identity cards, and With facial image associated storage.
Step S6: the three-dimensional video monitoring system that setting ground-high-altitude combines is used for the monitoring of abnormal behaviour: its In, the video monitoring system is the intelligent video monitoring system containing analysis module.The ground video monitoring system It is mainly used for monitoring the public domains such as community square, road;The high-altitude video monitoring system is equipped with multiple groups and fixes or can be rotated Monitoring camera unit, monitoring covering all floor alien invasions in community high empty region.It is specific as follows.
Step S6-1: the process of ground video monitoring ground personnel's abnormal behaviour is as follows.
1) the video analysis mould of community ground video monitoring system it is integrated there are many personnel's motion detection algorithms, and prestore Motion mathematical model database module;
2) video monitoring is carried out to community ground and obtains video data;Moving target is detected especially according to motion recognition algorithms Personnel targets, and continue tracking and obtain motion profile feature;
3) the track template of the motion profile feature and abnormal behaviour in model database is compared;The abnormal behaviour Including falling down, lying down, gathering of people, chase the behavioural characteristics such as run;
4) warning indicators are issued to control centre according to comparing result, and by manpower intervention management.
Step S6-2: the high-altitude video monitoring system is for monitoring the abnormal behaviours such as throwing object in high sky.Wherein, the high-altitude Video monitoring system contains the analysis module of integrated moving object recognizer, and prestores motion mathematical model database Module;The analysis module can carry out motor behavior intellectual analysis to the video that high-definition camera obtains and extract corresponding Picture transmits data to pipe after carrying out the objects filtration treatments such as flying bird, fallen leaves according to the model prestored in database to picture Reason terminal simultaneously provides warning indicators.
Step S7: the management on children's discrepancy community doorway:
Children's face information is associated with kinsfolk's face information, and the access control system at community's entrance is set as not having Standby independent right of access.The face recognition module of community's access control equipment collects the children's face letter individually gone out by camera When breath, gate inhibition's right of access wouldn't be authorized the face information is in face database;It is issued and is warned by management system at this time Show prompt and notifies or contact related guardian by modes such as phone, short messages by manpower intervention.
Further, the face information of six years old or less children is not stored into community's face database.
Embodiment two
It further include vehicle management step on the basis of embodiment one in management method described in present embodiment, The vehicle management step is specific as follows.
1) when vehicle enters community, community's vehicle management system relevant device at community's vehicle entrance is taken pictures Acquisition vehicle pictorial information is simultaneously uploaded to system server, and vehicle management system is according to the vehicle pictures of acquisition and is stored in data Community's vehicle in library is compared, and compares and successfully then starts the clearance of control channel gate;If there are garage and garages for community There are when remaining parking stall, the gate equipment of garage port is sensed when vehicle is close without that can open vehicle by secondary comparison The passageway gate machine of library entrance.
Wherein, the gate equipment of garage port replaces vehicle recognition unit module with vehicle actuated control module, avoids pair Vehicle is recognized comparison, improves vehicle pass-through efficiency.
Wherein, the vehicle management system includes vehicle pictures acquisition unit, information of vehicles recognition unit, passageway gate machine control Unit processed, wherein information of vehicles recognition unit carries out the information of vehicles in the information of vehicles of cameras capture and storing data library pair Than.
2) when there is external strange vehicle to enter community, reservation vehicle and non-reservation vehicle is divided to be managed.
2.1) when the preparation of external vehicle enters cell with appointment mode, community management system or phone need to be passed through in advance Mode carries out information of vehicles registration storage, and it can also further comprise type of vehicle that the information of vehicles, which includes at least license plate number, And the information such as vehicle color.
When reserving vehicle and entering community, the system relevant device at community's vehicle entrance capture information of vehicles and with storage Information of vehicles in database is compared, and after comparing successfully, control channel gate is let pass, and unsuccessfully reaches certain time if compared Number, the automatic prompt information that uploads is to administrative staff.
Wherein, information of vehicles be compared including at least license plate number compare, further comprise type of vehicle compare and Vehicle color compares.
2.2) when non-reservation vehicle such as taxi, entrance community provisional without number plate vehicle, by community's vehicle entrance Vehicle management system pass through the strange vehicle do not reserved of matching identification, and provide strange vehicle and will enter the warning of community and mention Show, determines whether to let pass by administrative staff's intervention.
It should be appreciated that the purposes of these embodiments is merely to illustrate the present invention and is not intended to limit protection model of the invention It encloses.In addition, those skilled in the art can make various modifications, alterations and/or variations to the present invention, all these forms are same It falls within the scope of the appended claims within the limits of the protection.

Claims (8)

1. a kind of residential communities personnel safety management method based on artificial intelligence system, the artificial intelligence system include at least Several information collection dot systems, intelligent entrance guard management control system, Face datection identifying system and visitor management system module, It is characterized in that, the described method comprises the following steps S1- S7:
Step S1: the current management of personnel at community's entrance: identification point is acquired by the first information of intelligent entrance guard equipment, specifically It is as follows;
S1-1: acquiring the face image of community personnel and extracts face characteristic information, establishes community's face information database;
S1-2: the intelligent entrance guard equipment comprising facial image detection acquisition module of community's entrance is by the people of collection in worksite Face image information carries out identification with the information in community's face information database and compares;
Step S2: in community's entrance be arranged face acquire intelligent terminal with acquire enter community all human face datas simultaneously Identification comparison is carried out, it is the second information collection identification point which, which acquires intelligent terminal,;Wherein, the face acquisition intelligence The Way in towards community gate inhibition is arranged in terminal device, while light source is being arranged to provide the suitable of abundance towards Way in Photo-beat takes the photograph light;
Wherein, the face acquisition intelligent terminal is the acquisition of active Face datection, contains the people that can detecte face Face detection module, man face image acquiring module and network transmission module or face recognition module;The terminal device utilizes height Clear CCD camera assembly carries out candid photograph acquisition to the facial image detected, while sending service for one to multiple image of acquisition Device carries out feature extraction and identification comparison processing and sends police to screen the strange personal information for obtaining and tracking into community Show that information to management system, and stores the face information and carries out system and put on record;
Preferably, the acquisition of face described in step intelligent terminal is the high-definition intelligent prison that module is captured containing Face datection Control video camera;
Step S3: on each unit doorway, setting includes the intelligent entrance guard of embedded intelligent equipment terminal, enters cell gate to acquire Human face data and carry out identification comparison;The cell gate embedded intelligent equipment terminal is third information collection identification point;
Wherein, the face which corresponding region occurs is acquired, and is sent out after image procossing It is sent to face characteristic extraction module and extracts face characteristic position;Face recognition module is to the face characteristic of extraction and is stored in community Face characteristic information in face database carries out identification comparison, according to similarity confirmation will enter cell gate face whether For trusted people;
Step S4: personnel's entrance in garage, setting face acquire intelligent terminal to acquire from garage and enter community's electricity All human face datas of ladder or stair simultaneously carry out identification comparison;Face acquisition intelligent terminal is the 4th information collection knowledge at this Other point;
Wherein, the face acquisition intelligent terminal is arranged in garage port direction, while in direction setting light source to mention For sufficient shooting environmental light;
Step S5: room entry/exit management is carried out to visitor personnel, steps are as follows:
Step S5-1: when visitor's first pass community gate inhibition, entering managing caller interface by the intelligent terminal on community doorway, The information for the personnel of being visited is inputted, access application is submitted;The grant access after administrative staff verify;Then by community's entrance Gate inhibition's intelligent terminal image capture module collection in worksite visitor's human face image information, and by the face figure of collection in worksite As authorizing the right of access in visitor's certain period of time in information deposit managing caller subsystem memory module;
Step S5-2: in the predetermined time period, when visitor is by community's internal element gate inhibition or again by community gate inhibition, By image capture module collection in worksite visitor's human face image information of access control terminal equipment, identification module extracts face characteristic information simultaneously Identification matching is carried out with the face information prestored in visitor's subsystem, is opened access control after matching is qualified, is allowed access into;
Step S6: the three-dimensional video monitoring system that setting ground-high-altitude combines is used for the monitoring of abnormal behaviour: where institute Stating video monitoring system is the intelligent video monitoring system containing analysis module, and the ground video monitoring system is mainly used In public domains such as monitoring community square, roads, the high-altitude video monitoring system is equipped with multiple groups and fixes or rotatably monitor Image unit, the high empty region of the monitoring covering all floor alien invasions in community;
Wherein, the testing process of ground video monitoring ground personnel's abnormal behaviour is as follows:
(1) the video analysis mould of community ground video monitoring system it is integrated there are many personnel's motion detection algorithms, and prestore fortune Dynamic mathematical model database module;
(2) video monitoring is carried out to community ground and obtains video data;Moving target is detected especially according to motion recognition algorithms It is personnel targets, and continues tracking and obtain motion profile feature;
(3) the track template of the motion profile feature and abnormal behaviour in model database is compared;The exception row Being includes falling down, lying down, gathering of people, chasing the behavioural characteristics such as run;Warning is issued to control centre according to comparing result to mention Show, and by manpower intervention management;
Step S7: enter and leave community doorway to children and be managed: children's face information of storage need to be with kinsfolk's face information It is associated, and the access control system at community's entrance is set as not having independent right of access;The face of community's access control equipment When identification module collects the children's face information individually gone out by camera, even if the face information is in face database Also gate inhibition's right of access wouldn't be authorized, warning indicators are issued by management system at this time and notifies related guardian;
Preferably, the face information of six years old or less children is not stored into community's face database.
2. personnel safety management method as described in claim 1, which is characterized in that the method further comprises vehicle Management process, specific as follows:
(1) relevant device, which takes pictures to acquire vehicle pictorial information and be uploaded to, when vehicle enters community, at community's vehicle entrance is System server, vehicle management system are compared according to the vehicle pictures of acquisition with the community's vehicle of storage in the database, than Then start control channel gate to success to let pass;
If community is there are garage and when there is remaining parking stall in garage, when the gate equipment of garage port senses that vehicle is close It is not necessary that the passageway gate machine of garage port can be opened by secondary comparison;
Wherein, the gate equipment of garage port replaces vehicle recognition unit module with vehicle actuated control module, avoids to vehicle It is recognized comparison, improves vehicle pass-through efficiency;
(2) when there is strange vehicle to enter community, reservation vehicle and non-reservation vehicle is divided to be managed;
When vehicle, which prepares reservation, enters cell, information of vehicles registration is carried out by community management system or liaison mode in advance, The information of vehicles includes at least license plate number;When reservation vehicle enters community, the system correlation at community's vehicle entrance is set Standby to capture information of vehicles and be compared with the information of vehicles in storing data library, after comparing successfully, control channel gate is let pass, If comparison unsuccessfully reaches certain number, the automatic prompt information that uploads is to administrative staff;
Wherein, information of vehicles is compared compares including at least license plate number;
(3) when non-reservation vehicle it is provisional enter community when, by community's vehicle entrance vehicle management system matching identification not The strange vehicle of reservation, is prohibited from entering, and issues prompt and determine whether to let pass by administrative staff's intervention.
3. personnel safety management method as claimed in claim 1 or 2, which is characterized in that specific step is as follows by step S1:
Step S1-1: establishing community's face information database: acquiring the face image of community personnel and extract face characteristic information, It is stored as face information database;Wherein, in community's face information database include permanent face information subdata base and Interim face information subdata base, the permanent face information is community resident and community's property, the staff such as ensure public security, keep a public place clean Face information, the interim face information is the face information of the provisional personnel such as community resident kith and kin, express delivery;
Step S1-2: detect face close to when, the intelligent entrance guard equipment of community's entrance is existing by image capture module Acquire current face information and face characteristic extraction carried out by face recognition module, then with face information database purchase Whether face information compares match cognization, be identical face according to matching similarity and the multilevel iudge of given threshold; Gate inhibition is automatically opened after comparing successfully, is allowed access into;
Step S1-3: it fails to match automatically switches to enable spare identifying system several times afterwards, and spare identifying system can not pass through When, which sends warning message and shows a suspect's letter to management system central server and in terminal display screen Breath, by interventions management such as Community Administrators such as securities;Meanwhile the information such as a suspect's face, fingerprint that will acquire are stored in A suspect's information database is put on record;
Further, a suspect's information database also with the security administration system of public security organ or be related to all kinds of suspicion The police system of personnel is networked, to carry out information exchange.
4. personnel safety management method as claimed in claim 1 or 2, which is characterized in that the step S3 further include: if comparing Pass through, then executes and automatically open cell gate gate inhibition, allow access into;If facial image and be stored in people that the information gathering point obtains It fails to match for facial image in face database when being more than certain number, enables spare identifying system automatically;When back-up system still When cannot be identified by, intelligent entrance guard terminal to server issues prompt information, and stores the human face data and put on record.
5. personnel safety management method as claimed in claim 1 or 2, which is characterized in that in the step S4, the face is adopted Collection intelligent terminal carries out candid photograph acquisition to the facial image detected using high-definition camera head assembly, while by the one of acquisition Server is sent to multiple images and carries out feature extraction and identification comparison processing, enters society to screen vehicle crew by garage The strange personal information in area;Strange personnel if it exists, transmission information warning to management system, and store or show the face number According to, in the step, to facial image carry out recognition of face when, low recognition threshold, for example, 60-70% can be set.
6. personnel safety management method as claimed in claim 1 or 2, which is characterized in that the high-altitude video monitoring system is used In abnormal behaviours such as monitoring throwing object in high sky;Wherein, the high-altitude video monitoring system contains integrated moving object recognizer Analysis module, and prestore motion mathematical model database module;The analysis module can be to high-definition camera The video of acquisition carries out motor behavior intellectual analysis and extracts corresponding picture, is carried out to picture according to the model prestored in database After the objects filtration treatment such as flying bird, fallen leaves, transmits data to management terminal and provide warning indicators.
7. personnel safety management method as claimed in claim 1 or 2, which is characterized in that in the artificial intelligence system Intelligent access control system is divided into the intelligent access control system of community's entrance and the cell gate intelligent entrance guard of residential building each unit System, the access control system include embedded intelligent equipment terminal, the embedded intelligent equipment terminal include high-definition camera, The system components such as electronic control locking device and the Face datection identification module equipment being connected with community center server.
8. personnel safety management method as claimed in claim 1 or 2, which is characterized in that the artificial intelligence system further includes Spare identification module;The spare identifying system is fingerprint recognition system or the two dimensional code identifying system comprising personal information.
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