CN110969748A - System for identifying mismatching of entrance guard user and user based on intelligent face technology - Google Patents
System for identifying mismatching of entrance guard user and user based on intelligent face technology Download PDFInfo
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Abstract
The invention provides a system and a method for identifying the mismatching of an entrance guard user and a user based on an intelligent face technology, which comprises the following steps: the face management unit is used for acquiring face information of an entrance guard user and generating a first entrance guard use record; the access control management unit is used for acquiring access control information of an access control user, generating a first mapping relation between the access control information and the first access control record, and generating a second access control record according to the first mapping relation; and the abnormity identification positioning unit is used for identifying whether the second entrance guard use record is matched with the entrance guard information and generating an entrance guard abnormity warning. The system can be used for rapidly finding and positioning the mismatching abnormity of office building or community access control card users and users, so that the time for manually identifying, finding and positioning is greatly shortened, and the working efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of face recognition, and particularly relates to a system and a method for recognizing mismatching of an entrance guard user and a user based on an intelligent face technology.
Background
With the increasing population of the country, the volume of people is more and more huge, and the workload required for completing the comprehensive treatment of social security is more and more large. In order to more effectively complete the management of social security, on the basis of human precaution and physical precaution, a more scientific and advanced technological precaution means is introduced to be a more effective management method. Video monitoring becomes an important component of a modern safety precaution system, abnormal activity conditions in a jurisdiction are managed through video monitoring, illegal behaviors can be quickly responded, and the system is a common safety precaution means; however, with the expansion of the video monitoring range, the traditional manual visual identification is adopted to process massive video information, and searching for abnormal moving image information meeting specific conditions not only consumes a great amount of human resources, but also has long processing period, low efficiency and low reliability.
Under the background, a system and a method for enabling a monitoring person to quickly and accurately locate the occurrence of abnormal mismatching situation between an office building or a community access card user and a user are provided, which is a problem to be solved urgently.
Disclosure of Invention
In view of the above, the present invention provides a system and a method for identifying the mismatch between the user and the access control user based on the intelligent face technology. The realization is unmatched the quick discovery and the location that the anomaly took place to this office building or community entrance guard card user and user, has shortened the time of artifical discernment discovery and location greatly, has improved work efficiency.
The invention provides a system for identifying the mismatching between an entrance guard user and a user based on an intelligent face technology, which comprises:
the face management unit is used for acquiring face information of an entrance guard user and generating a first entrance guard use record;
the access control management unit is used for acquiring access control information of an access control user, generating a first mapping relation between the access control information and the first access control record, and generating a second access control record according to the first mapping relation;
and the abnormity identification positioning unit is used for identifying whether the second entrance guard use record is matched with the entrance guard information and generating an entrance guard abnormity warning.
Further, the method comprises, among others,
the first entrance guard usage record comprises face snapshot image information of an entrance guard user, and generation time and physical address information of the snapshot image;
the second entrance guard usage record comprises the first entrance guard usage record, entrance guard opening time and entrance guard card ID information.
Further, the abnormality identification positioning unit includes:
the first entrance guard inquiry module is used for inquiring the identity information of all personnel of a corresponding entrance guard user according to the ID information of the entrance guard card and generating a first identity information group;
and the second access control inquiry module is used for inquiring the identity information of the personnel of the corresponding access control user according to the face snapshot image information to generate second identity information.
And the abnormal warning identification module is used for identifying whether the second identity information is matched with any identity information in the first identity information group or not and generating an abnormal entrance guard warning.
Further, the abnormality identification positioning unit includes:
the first access control inquiry module is used for generating a second mapping relation between the ID information of the access control card and the identity information of all the personnel of the corresponding access control user, inquiring the identity information of all the personnel of the access control user according to the second mapping relation and generating a first identity information group;
and the second access control inquiry module is used for generating a third mapping relation between the face snapshot image information and the identity information of the corresponding access control user personnel, inquiring the identity information of the access control user personnel according to the third mapping relation and generating second identity information.
Furthermore, the abnormity identification and positioning unit further comprises an abnormity warning and positioning module, and the abnormity warning and positioning module is used for acquiring the position information corresponding to the access control user according to the physical address information generated by the snapshot image and the ID information of the access control card.
Furthermore, the abnormality identification positioning unit further comprises an abnormality warning positioning module, which is used for generating a fourth mapping relationship between the physical address information and the access card ID information generated by the snapshot image and the position information corresponding to the access control user, and acquiring the position information of the access control user according to the fourth mapping relationship.
The second aspect of the invention provides a method for identifying that an entrance guard user is not matched with a user based on an intelligent face technology, which comprises the following steps:
s1: acquiring face information of an entrance guard user to generate a first entrance guard use record;
s2: acquiring access control information of an access control user, generating a first mapping relation between the access control information and the first access control record, and generating a second access control record according to the first mapping relation;
s3: and identifying whether the second entrance guard use record is matched with the entrance guard information and generating an entrance guard abnormal warning.
Further, steps S1 and S2 include:
s1: acquiring face information of an access control user, and generating a first access control use record by using the face snapshot image information of the access control user, the generation time of the snapshot image and the physical address information;
s2: the method comprises the steps of collecting entrance guard information of an entrance guard user, generating a first mapping relation between entrance guard opening time and the time generated by a snapshot image, and binding the first entrance guard usage record, the entrance guard opening time and entrance guard card ID information to generate a second entrance guard usage record according to the first mapping relation.
Further, step S3 includes:
s31: inquiring identity information of all personnel of a corresponding access control user according to the ID information of the access control card to generate a first identity information group;
s32: inquiring identity information of personnel corresponding to the access control user according to the face snapshot image information to generate second identity information;
s33: and identifying whether the second identity information is matched with any identity information in the first identity information group or not, and generating an entrance guard abnormity warning.
Further, the method further comprises:
s4: and acquiring the position information corresponding to the access control user according to the physical address information generated by the snapshot image and the ID information of the access control card.
In general, by the above technical solution conceived by the present invention, the following beneficial effects can be obtained:
(1) the invention provides a system and a method for identifying mismatching of an entrance guard user and a user based on an intelligent face technology. Then, the second door access record is transmitted to an abnormal recognition positioning unit, and the ID information of the door access card and the face snapshot image information are screened out from the received second door access record; inquiring identity information of all personnel of a corresponding access control user through the ID information of the access control card; the identity information of the corresponding personnel of the entrance guard user is inquired through face snapshot image information, whether the identity information of all the personnel of the entrance guard user is matched with the identity information of the personnel of the entrance guard user is compared, and if the identity information of the personnel of the entrance guard user does not belong to the identity information of all the personnel in the entrance guard user, a person-card inconsistency abnormal warning is generated. The realization is unmatched the quick discovery and the location that the anomaly took place to this office building or community entrance guard card user and user, has shortened the time of artifical discernment discovery and location greatly, has improved work efficiency.
(2) According to the system and the method for identifying the mismatching of the access control user and the user based on the intelligent face technology, the generated snapshot image information and the registration information of the current use or living personnel in the office building or the community are stored separately, so that the management and the later inquiry are facilitated; because the entrance guard's record of coming in and going out that the exception identification positioning unit was stored is through the actual personnel of coming in and going out and the personal information comparison analysis of the personnel that entrance guard's card belongs to, whether marked the card is unanimous for the people, consequently the process that the final screening entrance guard's card user and user mismatch the anomaly needs the time short, and screening speed is fast.
Drawings
Fig. 1 is a schematic diagram of the overall structure of a system for identifying the mismatching of an access control user and a user based on an intelligent face technology, which is implemented according to the present invention;
fig. 2 is a schematic diagram of an overall structure of a preferred system for identifying mismatching between an access control user and a user based on intelligent face technology, implemented according to the present invention;
the same reference numbers will be used throughout the drawings to refer to the same or like elements or structures, wherein: the system comprises a face management unit-1, an entrance guard management unit-2, an abnormality identification positioning unit-3, a first entrance guard query module-31, a second entrance guard query module-32, an abnormality warning identification module-33 and an abnormality warning positioning module-34.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention and the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first \ second \ third \ fourth" related to the present invention are only used for distinguishing similar objects, and do not represent a specific ordering for the objects, and it should be understood that "first \ second \ third \ fourth" may exchange a specific order or sequence when allowed. It should be understood that "first \ second \ third \ fourth" distinct objects may be interchanged where appropriate to enable embodiments of the invention described herein to be practiced in sequences other than those described or illustrated herein.
As shown in fig. 1, the present invention provides a system for identifying the mismatch between an access control user and a user based on an intelligent face technology, comprising:
the face management unit 1 is used for acquiring face information of an entrance guard user and generating a first entrance guard use record;
the access control management unit 2 is used for acquiring access control information of an access control user, generating a first mapping relation between the access control information and the first access control record, and generating a second access control record according to the mapping relation;
and the abnormity identification and positioning unit 3 is used for identifying whether the second entrance guard use record is matched with the entrance guard information and generating an entrance guard abnormity warning.
Specifically, the first access control use record comprises face snapshot image information of an access control user, time for generating the snapshot image and physical address information; the second entrance guard usage record comprises the first entrance guard usage record, entrance guard opening time and entrance guard card ID information.
Specifically, the access control user refers to a class of people who use an access control card to enter a certain office building or community and other confidential areas; the entrance guard user may be the actual user of the office building or community, but may also be a non-user but holds the entrance guard card and enters the office building or community through the entrance guard. The latter is obviously an abnormal phenomenon of different cards, and meanwhile, the personnel are also key attention people suspected to steal confidential information/articles or sell personnel. The entrance guard user refers to the actual user of the office building or the community.
Specifically, as shown in fig. 2, the face recognition unit includes a plurality of image acquisition devices 11 dispersedly disposed at the entrance guard area of the building, for generating a snapshot image when people enter and exit the entrance guard; each image capture device 11 has unique IP address information. The image acquisition equipment 11 is characterized in that the face recognition unit comprises a plurality of image acquisition equipment 11 which are dispersedly arranged at an entrance guard area of a building and used for generating a snapshot image when people enter and exit the entrance guard; each image capture device 11 has unique IP address information. The image acquisition equipment 11 can shoot the image of the person when the person enters the entrance guard, generates a shooting record and records the shooting record as a first entrance guard use record, wherein the first entrance guard use record comprises face shooting image information of an entrance guard user, the time for generating the shooting image and the IP address information of the image acquisition equipment 11. When entering the entrance guard, people can take a snapshot of images to generate a snapshot record, and the snapshot record is recorded as a first entrance guard usage record, wherein the first entrance guard usage record comprises face snapshot image information of an entrance guard user, time for generating the snapshot image and IP address information of the image acquisition equipment 11.
More specifically, the face recognition unit includes that first storage module is used for storing first entrance guard's record of using, and the record mode: and establishing a folder by taking the time of generating the snapshot image as a name, recording snapshot information files when each person enters and exits the access control in the folder, and naming each information file by using the corresponding face snapshot image, the time of generating the snapshot image and the IP address information of the image acquisition equipment 11. The picture information can be stored through format files such as bmp, jpg, png, tif, gif, raw, WM and the like, and the text information can be stored through format files such as doc, docx, txt, htm, asp, cmd, log and the like.
Specifically, the access control management unit 2 generates access control information when a person enters the access control device to be opened, the access control information includes the time of opening the access control device and the ID information of the access control card, generates a first mapping relationship between the access control information and the first access control record, and generates a second access control record according to the first mapping relationship. More specifically, the face recognition unit includes a second storage module for binding the access control information with the first access control record according to the first mapping relationship, and storing a second access control record. The recording mode is as follows: firstly, naming the entrance guard information by the time of opening the entrance guard to establish a folder, recording entrance guard information files of each person in the folder, and naming each information file by the ID information of the corresponding entrance guard card. And then generating a first mapping relation between the time of generating the snapshot image in the first access control use record and the time of opening the access control, binding folders with the time within 0-15 seconds before and after the first access control use record to form a group of new folders, naming the folders by using the ID information of the access control card, covering the time of opening the access control by the time of generating the snapshot image in the binding process, and independently storing the time of opening the access control in the folders. Under a special condition, to two different personnel that similar time got into, the same file is put in simultaneously to two entrance guard card ID information names, and the manual work is compared in the later stage, and perhaps the system carries out two entrance guard card ID information to each entrance guard card user respectively and compares the discernment comprehensively, and other many people get into similar condition simultaneously and can so analogize. The ID information of the access card can be the card number, the chip serial number, the generated bar code or the two-dimensional code graph of the access card.
The embodiment also provides a method for identifying that an entrance guard user is not matched with a user based on the intelligent face technology, which comprises the following steps:
s1: the image acquisition equipment 11 in the face management unit 1 can capture images of people when the people enter the office building or the community entrance guard to form face capture image information; generating a first access control use record by using the face snapshot image information of the person, the generation time of the snapshot image of the image acquisition equipment 11 and the IP address information;
s2: the entrance guard management unit 2 generates entrance guard opening time and entrance guard card ID information records when an entrance guard is opened, generates a first mapping relation between the entrance guard opening time and the time of generating a snapshot image, and binds the records and the first entrance guard use record according to the first mapping relation to form a second entrance guard use record;
s3: and the abnormity identification positioning unit 3 identifies whether the second entrance guard use record is matched with the entrance guard information, and if not, generates an entrance guard abnormity warning.
As shown in fig. 2, the abnormality identification positioning unit 3 includes a first access inquiry module 31, a second access inquiry module 32 and an abnormality warning identification module 33, wherein:
the first entrance guard query module 31 is configured to query identity information of all people of a corresponding entrance guard user according to the ID information of the entrance guard card, and generate a first identity information group;
the second access control inquiry module 32 is used for inquiring the identity information of the personnel corresponding to the access control user according to the face snapshot image information to generate second identity information;
and an abnormal warning recognition module 33, configured to recognize whether the second identity information matches any identity information in the first identity information group, and generate an abnormal warning for the access control.
The embodiment also provides a method for identifying that an entrance guard user is not matched with a user based on the intelligent face technology, which comprises the following steps:
s1: the image acquisition equipment 11 in the face management unit 1 can capture images of people when the people enter the office building or the community entrance guard to form face capture image information; generating a first access control use record by the face snapshot image information of the person, the generation time of the snapshot image of the image acquisition equipment 11 and the physical address information;
s2: the entrance guard management unit 2 generates entrance guard opening time and entrance guard card ID information records when an entrance guard is opened, generates a first mapping relation between the entrance guard opening time and the time of generating a snapshot image, and binds the records and the first entrance guard use record according to the first mapping relation to form a second entrance guard use record;
s3: the abnormal warning recognition module 33 recognizes whether the second entrance guard usage record matches the entrance guard information, and generates an entrance guard abnormal warning if there is no match. The step of S3 is as follows:
s31: the first entrance guard inquiry module 31 inquires the identity information of all personnel of a corresponding entrance guard user according to the ID information of the entrance guard card to generate a first identity information group;
s32: the second entrance guard query module 32 queries the identity information of the corresponding entrance guard user according to the face snapshot image information to generate second identity information;
s33: the abnormal warning recognition module 33 recognizes whether the second identity information matches any one of the identity information in the first identity information group, and generates an entrance guard abnormal warning if there is no match.
In the present invention, the first access control query module 31 and the second access control query module 32 query and extract the relevant information according to the mapping relationship:
the first access control inquiry module 31 is configured to generate a second mapping relationship between the ID information of the access control card and the identity information of all the people of the access control user corresponding to the ID information of the access control card, and inquire the identity information of all the people of the access control user corresponding to the ID information of the access control card according to the second mapping relationship to generate a first identity information group;
the second access control inquiry module 32 is configured to generate a third mapping relationship between the face snapshot image information and the identity information of the person of the access control user corresponding to the face snapshot image information, and inquire the identity information of the person of the access control user corresponding to the face snapshot image information according to the third mapping relationship to generate second identity information.
Specifically, the anomaly identification positioning unit 3 mainly identifies and compares the identity information of the access control user with the identity information of the user. Firstly, the first access control inquiry module 31 mainly inquires the resident or all-person identity set information of the corresponding user through the access control card ID information of the access control user in the second access control use record; secondly, the second entrance guard query module 32 is mainly used for querying the identity information of the corresponding person through the face snapshot image information of the entrance guard user in the second entrance guard use record; finally, the abnormality warning identification module 33 identifies whether the two pieces of information are the same. The reason for such logic design is that for most users in office buildings or communities, it is not possible that the access card of a room corresponds to only one person, or that a room has many members but shares one or a few small access cards. The inventor searches out the identity information of all possible users corresponding to the same access control card through two-way search on one hand; on the other hand, the identity information of the current user of the access control card is found out, and the identity information are compared to quickly determine whether the access control card is abnormal in use.
More specifically, the first access query module 31 is configured to generate a second mapping relationship between the ID information of the same access card and the identity information of all people of the access user corresponding to the same access card, extract the identity information of all people of the access user corresponding to the access card from the big data platform of the user in the office building or the community according to the second mapping relationship, and generate the first identity information group. All personnel using the same access control card ID information on a big data platform of a user of the office building or the community are filed to the same folder, named by the access control card ID information, and the identity information of each personnel is stored in the folder respectively, wherein the identity information subfolder of each personnel comprises the information of the name, the identity card number, the face image, the specific user position of living and the like of each personnel; the subfolder names can be named in various combination modes such as name, identity card number, ID information of the access control card and name. The first entrance guard query module 31 forms a second mapping relationship between the ID information of the entrance guard card and the folder corresponding to the ID information of the entrance guard card on the big data platform of the user in the office building or the community during the query process, and can directly extract the folder named by the ID information of the entrance guard card according to the second mapping relationship, where all the information of the folder is the first identity information group.
More specifically, the second access control query module 32 is configured to generate a third mapping relationship between the face snapshot image information and the identity information of the person of the access control user corresponding to the face snapshot image information, extract the identity information of the person of the access control user corresponding to the face snapshot image information from the big data platform of the user of the office building or the community according to the third mapping relationship, and generate the second identity information. The identity information subfolder of each person on the big data platform of the office building or the community comprises the face image information of all the persons. The second gate inhibition query module 32 compares the face snapshot image information with the corresponding face image information on the big data platform of the user of the office building or the community in the query process to form a third mapping relationship. In the image comparison process, the comparison mode comprises parallel comparison or sequential traversal comparison, a corresponding matching value can be generated when the face snapshot image information is compared with the face image information in a data platform, if the matching value is higher than a set matching threshold value, the similarity between the face snapshot image information and the face image information in the data platform is higher, a third mapping relation is formed, a subfolder comprising the face image information is directly extracted according to the third mapping relation, and all information of the subfolder is second identity information. Under a special condition, if no human face image information is matched with the human face snapshot image information in the big data platform of the user of the office building or the community, a blank folder is directly generated to serve as second identity information.
More specifically, the big data platform of the user of the office building or the community can be connected with the public security population management system of the region, and the information of all the people in the related access control user can be maintained and upgraded periodically every month. And if the change of personnel in the related access control users exists, the change of personnel can also be reported to security management personnel of the office building or the community in advance, and the related information is supplemented.
More specifically, the abnormal warning recognition module 33 is configured to recognize whether the second identity information matches any identity information in the first identity information group, and if not, generate an abnormal entrance guard warning. The second identity information is a subfolder of the identity information of the person, and the first identity information group is a subfolder which is named by the ID information of the access control card and comprises the identity information of all the persons of the access control user. Then directly identifying whether the sub-folder corresponding to the second identity information exists in the folder corresponding to the first identity information group: 1) if the subfolder exists, the second identity information is matched with any identity information in the first identity information group, and the condition that the entrance guard is abnormal is indicated; 2) if the subfolder does not exist, the second identity information is matched with any identity information in the first identity information group, the fact that the entrance guard is abnormal is indicated, and entrance guard abnormal warning is generated.
Specifically, the abnormality warning identification module 33 performs the step of S3 as follows:
s31: the first entrance guard query module 31 generates a second mapping relation between the same entrance guard card ID information and the identity information of all people of the corresponding entrance guard user type, extracts the identity information of all people of the corresponding entrance guard user from a big data platform of the user of the office building or the community according to the entrance guard card ID information according to the second mapping relation, and generates a first identity information group;
s32: the second entrance guard query module 32 generates a third mapping relationship between the face snapshot image information and the identity information of the corresponding entrance guard user person, extracts the identity information of the corresponding entrance guard user person from the big data platform of the user of the office building or the community according to the face snapshot image information according to the third mapping relationship, and generates second identity information;
s33: the abnormal warning recognition module 33 recognizes whether the second identity information matches any one of the identity information in the first identity information group, and generates an entrance guard abnormal warning if there is no match.
In the present invention, the anomaly identification and positioning unit 3 further includes an anomaly warning and positioning module 34, configured to obtain position information corresponding to the access control user according to the time and physical address information generated by the snapshot image.
The embodiment also provides a method for identifying the mismatching and positioning between the access control user and the user based on the intelligent face technology, which comprises the following steps:
s1: the image acquisition equipment 11 in the face management unit 1 can capture images of people when the people enter the office building or the community entrance guard to form face capture image information; generating a first access control use record by using the face snapshot image information of the person, the generation time of the snapshot image of the image acquisition equipment 11 and the IP address information;
s2: the entrance guard management unit 2 generates entrance guard opening time and entrance guard card ID information records when an entrance guard is opened, generates a first mapping relation between the entrance guard opening time and the time of generating a snapshot image, and binds the records and the first entrance guard use record according to the first mapping relation to form a second entrance guard use record;
s3: the abnormal warning module identifies whether the second entrance guard use record is matched with the entrance guard information, and if not, an entrance guard abnormal warning is generated;
s4: if not, the abnormal warning positioning module 34 identifies the time and physical address information generated according to the snapshot image to acquire the position information corresponding to the entrance guard user.
Specifically, the anomaly warning positioning module 34 is configured to generate a fourth mapping relationship between the time and the physical address information generated by the snapshot image and the position information of the access control user corresponding to the time and the physical address information, and acquire the position information of the access control user corresponding to the time and the physical address information generated by the snapshot image according to the fourth mapping relationship. The position information of the person can be further positioned and tracked while the abnormal entrance guard warning is generated. Extracting the IP address information and the entrance guard card ID information of the image acquisition equipment 11 in the second entrance guard use record corresponding to the abnormal entrance guard user, generating a fourth mapping relation between the IP address information and the entrance guard card ID information of the image acquisition equipment 11 and the position information of the entrance guard user corresponding to the image acquisition equipment, and acquiring the position information of the entrance guard user according to the fourth mapping relation. The position of the abnormal entrance guard user for entering and exiting the entrance guard can be positioned through the IP address information of the image acquisition equipment 11; the user corresponding to the abnormal entrance guard user handheld entrance guard card can be positioned through the ID information of the entrance guard card. The area where an abnormal access control user enters, such as a certain community, a certain unit and a certain building, can be determined immediately by combining the position of the access control and a specific user; and user areas that may be visited, such as a floor, an office, a room. According to the information, system service objects such as office buildings or community security personnel and public security personnel can arrive at the site for consultation or carry out telephone consultation with the user of the access control card after receiving the early warning information, and the safety of the area is guaranteed.
Specifically, the abnormality warning positioning module 34 performs the step S4 as follows:
s4: if the position information of the access control user is not matched with the physical address information generated by the snapshot image, the access control card ID information and the position information corresponding to the access control user are identified by the abnormal warning positioning module 34 to generate a fourth mapping relation, and the position information of the access control user is obtained according to the fourth mapping relation.
In the invention, the face management unit 1 specifically comprises an image acquisition device 11 and a first storage module. The image acquisition equipment 11 is dispersedly arranged at an entrance guard area of a building and is used for acquiring a face image of an entrance guard user; the first storage module is used for converting face snapshot image information of an access control user, time generated by the snapshot image of the image acquisition equipment 11 and IP address information into a first access control use record and storing the first access control use record.
Specifically, the face management unit 1 may further include a face image identity information retrieval module, which has the same function as the second access control inquiry module 32, and queries identity information of personnel corresponding to the access control user according to the face snapshot image information, and directly determines whether the access control user has access control authorization. The inquiry information can be directly transmitted to the second entrance guard inquiry module 32 instead of using the entrance guard card.
In the invention, the access control management unit 2 specifically comprises access control gate equipment and a second storage module. The entrance guard gate equipment is arranged at an entrance guard area of a building, can be set into a one-man gate and is used for acquiring entrance guard card ID information, entrance guard opening time and identity authentication of entrance guard users; the second storage module is used for converting the first entrance guard usage record, entrance guard opening time and entrance guard card ID information binding into a second entrance guard usage record and storing the second entrance guard usage record.
Specifically, the access control management unit 2 further includes a data filtering module, configured to screen out key information from the second access control record, and transmit the key information to the first and second access control query modules. More specifically, screening out the ID information of the access card in the second access control record, and forwarding the ID information to the first access control query module 31 to query the identity information of all the people of the corresponding access control user; and screening the face snapshot image information in the second entrance guard use record, and forwarding the information to the second entrance guard query module 32 to query the identity information of the corresponding entrance guard user personnel.
In the invention, the abnormality identification positioning unit 3 can be connected with a computer of a security office of the office building or community or a mobile terminal of a manager, and for example, the abnormality identification positioning unit is sent to a system service object in the form of short message service, WeChat service and APP notification. After receiving the early warning information, the system service object, such as an office building or security personnel and public security personnel in the community, can check the specific details through the abnormal warning identification module 33 and rush to the site for consultation or make telephone consultation with the user of the access control card.
The system also comprises a communication unit which is a wired port or network connection and is used for connecting all modules in the face management unit 1, the entrance guard management unit 2 and the abnormity identification and positioning unit 3. The communication unit is at least one of Zigbee, 3G, 4G, WIFi, Internet or a special network, data can be encrypted through an encryption algorithm and a management algorithm to avoid privacy disclosure, and meanwhile, the information storage unit can perform daily data management and maintenance through manual data processing or operation and maintenance software.
It should be understood that any process or method descriptions in flow charts of the present invention or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a system based on intelligent face technique discerns access control user and user are unmatched, a serial communication port, the system includes:
the face management unit is used for acquiring face information of an entrance guard user and generating a first entrance guard use record;
the access control management unit is used for acquiring access control information of an access control user, generating a first mapping relation between the access control information and the first access control record, and generating a second access control record according to the first mapping relation;
and the abnormity identification positioning unit is used for identifying whether the second entrance guard use record is matched with the entrance guard information and generating an entrance guard abnormity warning.
2. The system of claim 1, wherein,
the first entrance guard usage record comprises face snapshot image information of an entrance guard user, and generation time and physical address information of the snapshot image;
the second entrance guard usage record comprises the first entrance guard usage record, entrance guard opening time and entrance guard card ID information.
3. The system of claim 2, wherein the anomaly identification and location unit comprises:
the first entrance guard inquiry module is used for inquiring the identity information of all personnel of a corresponding entrance guard user according to the ID information of the entrance guard card and generating a first identity information group;
and the second access control inquiry module is used for inquiring the identity information of the personnel of the corresponding access control user according to the face snapshot image information to generate second identity information.
And the abnormal warning identification module is used for identifying whether the second identity information is matched with any identity information in the first identity information group or not and generating an abnormal entrance guard warning.
4. The system of claim 3, wherein,
the first access control inquiry module is used for generating a second mapping relation between the ID information of the access control card and the identity information of all the personnel of the corresponding access control user, inquiring the identity information of all the personnel of the access control user according to the second mapping relation and generating a first identity information group;
and the second access control inquiry module is used for generating a third mapping relation between the face snapshot image information and the identity information of the corresponding access control user personnel, inquiring the identity information of the access control user personnel according to the third mapping relation and generating second identity information.
5. The system of claim 2, wherein the anomaly identification and positioning unit further comprises an anomaly warning and positioning module, configured to obtain location information corresponding to the access control user according to the physical address information and the access control card ID information generated by the snapshot image.
6. The system of claim 5, wherein,
and the abnormity warning positioning module is used for generating a fourth mapping relation between the physical address information and the ID information of the access control card generated by the snapshot image and the position information corresponding to the access control user, and acquiring the position information of the access control user according to the fourth mapping relation.
7. The utility model provides a method for discerning that entrance guard user is unmatched with the user based on intelligent face technique, its characterized in that, the method includes:
s1: acquiring face information of an entrance guard user to generate a first entrance guard use record;
s2: acquiring access control information of an access control user, generating a first mapping relation between the access control information and the first access control record, and generating a second access control record according to the first mapping relation;
s3: and identifying whether the second entrance guard use record is matched with the entrance guard information and generating an entrance guard abnormal warning.
8. The method of claim 7, wherein the steps S1 and S2 include:
s1: acquiring face information of an access control user, and generating a first access control use record by using the face snapshot image information of the access control user, the generation time of the snapshot image and the physical address information;
s2: the method comprises the steps of collecting entrance guard information of an entrance guard user, generating a first mapping relation between entrance guard opening time and the time generated by a snapshot image, and binding the first entrance guard usage record, the entrance guard opening time and entrance guard card ID information to generate a second entrance guard usage record according to the first mapping relation.
9. The method according to claim 8, wherein step S3 includes:
s31: inquiring identity information of all personnel of a corresponding access control user according to the ID information of the access control card to generate a first identity information group;
s32: inquiring identity information of personnel corresponding to the access control user according to the face snapshot image information to generate second identity information;
s33: and identifying whether the second identity information is matched with any identity information in the first identity information group or not, and generating an entrance guard abnormity warning.
10. The method of claim 7, further comprising:
s4: and acquiring the position information corresponding to the access control user according to the physical address information generated by the snapshot image and the ID information of the access control card.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507302A (en) * | 2016-06-14 | 2017-12-22 | 杭州海康威视数字技术股份有限公司 | A kind of antisubmarine back method, apparatus and system |
| CN107818623A (en) * | 2017-12-22 | 2018-03-20 | 厦门大学嘉庚学院 | Distributed wireless gate control system and application method |
| CN108171842A (en) * | 2017-12-28 | 2018-06-15 | 深圳市泛海三江科技发展有限公司 | A kind of personnel management system |
| CN108320752A (en) * | 2018-01-26 | 2018-07-24 | 青岛易方德物联科技有限公司 | Cloud Voiceprint Recognition System and its method applied to community gate inhibition |
| CN109934973A (en) * | 2017-12-19 | 2019-06-25 | 郑州灵珑信息科技有限公司 | Community's entrance guard management system and method with vocal print and face identity recognition function |
| US20190325682A1 (en) * | 2017-10-13 | 2019-10-24 | Alcatraz AI, Inc. | System and method for provisioning a facial recognition-based system for controlling access to a building |
-
2019
- 2019-12-12 CN CN201911275253.9A patent/CN110969748A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507302A (en) * | 2016-06-14 | 2017-12-22 | 杭州海康威视数字技术股份有限公司 | A kind of antisubmarine back method, apparatus and system |
| US20190325682A1 (en) * | 2017-10-13 | 2019-10-24 | Alcatraz AI, Inc. | System and method for provisioning a facial recognition-based system for controlling access to a building |
| CN109934973A (en) * | 2017-12-19 | 2019-06-25 | 郑州灵珑信息科技有限公司 | Community's entrance guard management system and method with vocal print and face identity recognition function |
| CN107818623A (en) * | 2017-12-22 | 2018-03-20 | 厦门大学嘉庚学院 | Distributed wireless gate control system and application method |
| CN108171842A (en) * | 2017-12-28 | 2018-06-15 | 深圳市泛海三江科技发展有限公司 | A kind of personnel management system |
| CN108320752A (en) * | 2018-01-26 | 2018-07-24 | 青岛易方德物联科技有限公司 | Cloud Voiceprint Recognition System and its method applied to community gate inhibition |
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