CN114092718A - Community monitoring method and device, electronic equipment and storage medium - Google Patents
Community monitoring method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a community monitoring method and device, electronic equipment and a storage medium. One embodiment of the method comprises: acquiring images acquired by cameras at the entrance and exit of a preset area in a community; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; and generating action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras except the entrance and exit of the preset area in the community. According to the embodiment, the actions of strangers in the community are automatically monitored based on the images collected by the community camera, so that the community monitoring efficiency is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a community monitoring method, a community monitoring device, electronic equipment and a storage medium.
Background
Currently, community residents pay more and more attention to quality of life, and especially to personnel composition and safety of communities and buildings, more attention is paid. But some small enterprises or black houses can carry out commercial activities by group renting houses or renting civil houses, thereby reducing the cost and increasing the income of the enterprises or black houses; even the distribution organization rents the house and carries out illegal activities. This undoubtedly has a very serious impact on the living experience of other normal residents, so community property, living committee, and local public security agency need to monitor the situation of people entering and leaving the community all the time.
Disclosure of Invention
The embodiment of the application provides a community monitoring method and device, electronic equipment and a storage medium.
In a first aspect, some embodiments of the present application provide a community monitoring method, including: acquiring images acquired by cameras at the entrance and exit of a preset area in a community; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; and generating action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras except the entrance and exit of the preset area in the community.
In some embodiments, the method further comprises: and uploading the action track to an Internet of things management platform.
In some embodiments, the method further comprises: determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in the preset time period: the number of strangers entering a preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area are preset; determining worker information associated with the preset area in response to determining that abnormal behaviors exist in the preset area; and pushing abnormal behavior information existing in the preset area to a terminal of a worker according to the information of the worker.
In some embodiments, the abnormal behavior comprises civil house business behavior; and determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in the preset time period: the method comprises the following steps of setting the number of strangers entering a preset area, the number of registered persons in the preset area, the stop positions of the strangers entering the preset area, the stop time of the strangers entering the preset area and the action tracks of the strangers entering the preset area, wherein the steps comprise: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor is within a first preset time, determining that the civil house commercial behavior exists on the floor.
In some embodiments, the abnormal behavior comprises group lease behavior; and determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in the preset time period: the method comprises the following steps of setting the number of strangers entering a preset area, the number of registered persons in the preset area, the stop positions of the strangers entering the preset area, the stop time of the strangers entering the preset area and the action tracks of the strangers entering the preset area, wherein the steps comprise: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor exceeds a second preset time, determining that group renting behaviors exist on the floor.
In a second aspect, some embodiments of the present application provide a community monitoring apparatus, including: the acquisition unit is configured to acquire images acquired by cameras at the entrance and exit of a preset area in a community; a first determination unit configured to perform face recognition on the acquired image, determine whether a face image of a stranger is included in the acquired image, the face image of the stranger including a face image of a non-registered person; a recording unit configured to record an entrance and exit time of a stranger in response to a determination that a face image of the stranger is included in the acquired image; the generating unit is configured to generate action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras of the community except for the entrance and exit of the preset area.
In some embodiments, the apparatus further comprises: and the uploading unit is configured to upload the action track to the Internet of things management platform.
In some embodiments, the apparatus further comprises: a second determination unit configured to determine whether there is an abnormal behavior within the preset area based on one or more of the following information items within a preset time period: the number of strangers entering a preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area are preset; a third determination unit configured to determine staff information associated with the preset area in response to determining that there is an abnormal behavior within the preset area; and the pushing unit is configured to push the abnormal behavior information existing in the preset area to the terminal of the staff according to the staff information.
In some embodiments, the abnormal behavior comprises civil house business behavior; and a second determination unit further configured to: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor is within a first preset time, determining that the civil house commercial behavior exists on the floor.
In some embodiments, the abnormal behavior comprises group lease behavior; and a second determination unit further configured to: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor exceeds a second preset time, determining that group renting behaviors exist on the floor.
In a third aspect, some embodiments of the present application provide an apparatus comprising: one or more processors; a storage device, on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the method as described above in the first aspect.
In a fourth aspect, some embodiments of the present application provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the method as described above in the first aspect.
According to the community monitoring method and device, the electronic equipment and the storage medium, images collected by the cameras at the entrance and the exit of the preset area in the community are acquired; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; according to the entrance and exit time and images of strangers collected by other cameras of the community except for the entrance and exit of the preset area, the action track of the stranger is generated, the actions of the stranger in the community are automatically monitored based on the images collected by the community cameras, and the community monitoring efficiency is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a diagram of an exemplary system architecture to which some of the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a community monitoring method according to the present application;
FIG. 3 is a schematic block diagram of one embodiment of a community monitoring apparatus according to the present application;
FIG. 4 is a block diagram of a computer system suitable for use in implementing a server or terminal of some embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the community monitoring method or community monitoring apparatus of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various client applications, such as a social application, an internet of things application, an e-commerce application, a search application, etc., may be installed on the terminal devices 101, 102, 103.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server providing various services, for example, a background server providing support for internet of things applications installed on the terminal devices 101, 102, and 103, and the server 105 may obtain images acquired by cameras at an entrance and an exit of a preset area in a community; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; and generating action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras except the entrance and exit of the preset area in the community.
It should be noted that the community monitoring method provided in the embodiment of the present application may be executed by the server 105, or may be executed by the terminal devices 101, 102, and 103, and accordingly, the community monitoring apparatus may be disposed in the server 105, or may be disposed in the terminal devices 101, 102, and 103.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a community monitoring method according to the present application is shown. The community monitoring method comprises the following steps:
In this embodiment, a community monitoring method executing subject (e.g., a server or a terminal shown in fig. 1) may first obtain an image acquired by a camera at an entrance of a preset area in a community.
In this embodiment, the predetermined area may include a building, a unit, or other areas sharing a required passageway.
In this embodiment, the executing entity may perform face recognition on the image acquired in step 201, and determine whether the acquired image includes a face image of a stranger, where the face image of the stranger includes a face image of a non-registered person, and the face recognition may be performed based on a similarity between the face images. The registered personnel can comprise community owners and staff, and face images of the registered personnel can be collected in advance and stored in a face image library of the registered personnel.
In this embodiment, the execution subject may record the entrance and exit time of the stranger in response to determining that the acquired image includes the face image of the stranger in step 202, and the entrance and exit time may be determined according to the time information of the camera.
And step 204, generating action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras except the entrance and exit of the preset area in the community.
In this embodiment, the executing agent may generate the action track of the stranger according to the entry and exit time recorded in step 203 and images of the stranger collected by other cameras in the community except for the entrance and exit of the preset area. The other cameras except the preset region entrance and exit of the community can comprise cameras of other public regions of the building and cameras of community roads.
In some optional implementations of this embodiment, the method further includes: and uploading the action track to an Internet of things management platform. According to the implementation mode, the action track is uploaded to the Internet of things management platform, so that unified management is facilitated, and comprehensive judgment is performed by combining other information of the platform.
In some optional implementations of this embodiment, the method further includes: determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in the preset time period: the number of strangers entering a preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area are preset; determining worker information associated with the preset area in response to determining that abnormal behaviors exist in the preset area; and pushing abnormal behavior information existing in the preset area to a terminal of a worker according to the information of the worker. The association relationship between the preset area and the staff can be determined according to the area, work duty, work time and other information which are responsible for the staff. The staff information may include a terminal number of the staff, an account identification of the staff, and the like. The staff may include persons associated with a residence, a property, a public security agency.
In some optional implementations of this embodiment, the abnormal behavior comprises civil house business behavior; and determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in the preset time period: the method comprises the following steps of setting the number of strangers entering a preset area, the number of registered persons in the preset area, the stop positions of the strangers entering the preset area, the stop time of the strangers entering the preset area and the action tracks of the strangers entering the preset area, wherein the steps comprise: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor is within a first preset time, determining that the civil house commercial behavior exists on the floor. In this implementation manner, the specific values of the preset time period, the preset threshold value, and the first preset duration may be set according to specific situations. As an example, a building, actually registered 10 users, entered 40 people today, 30 strangers, 25 of which have gone to the same floor 3. And the residence time is within 1 hour, the situation that the civil houses are in commercial use probably exists in the 3 rd building can be judged.
In some optional implementations of this embodiment, the abnormal behavior includes a group lease behavior; and determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in the preset time period: the method comprises the following steps of setting the number of strangers entering a preset area, the number of registered persons in the preset area, the stop positions of the strangers entering the preset area, the stop time of the strangers entering the preset area and the action tracks of the strangers entering the preset area, wherein the steps comprise: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor exceeds a second preset time, determining that group renting behaviors exist on the floor. In this implementation manner, specific values of the preset time period, the preset threshold, and the second preset duration may be set according to specific situations. As an example, a building, 6 floors, one floor per household, actually registered users 12, 25 people today into the building, 13 strangers, 10 of which go to 5 floors. And the residence time is more than 10 hours, the possibility of group renting rooms in the 5 th floor can be judged.
The method provided by the embodiment of the application acquires the images acquired by the cameras at the entrance and exit of the preset area in the community; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; according to the entrance and exit time and images of strangers collected by other cameras of the community except for the entrance and exit of the preset area, the action track of the stranger is generated, the actions of the stranger in the community are automatically monitored based on the images collected by the community cameras, and the community monitoring efficiency is improved.
With further reference to fig. 3, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of a community monitoring apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 3, the community monitoring apparatus 300 of the present embodiment includes: an acquisition unit 301, a first determination unit 302, a recording unit 303, and a generation unit 304. The acquisition unit is configured to acquire images acquired by cameras at the entrance and exit of a preset area in a community; a first determination unit configured to perform face recognition on the acquired image, determine whether a face image of a stranger is included in the acquired image, the face image of the stranger including a face image of a non-registered person; a recording unit configured to record an entrance and exit time of a stranger in response to a determination that a face image of the stranger is included in the acquired image; the generating unit is configured to generate action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras of the community except for the entrance and exit of the preset area.
In this embodiment, the specific processing of the acquiring unit 301, the first determining unit 302, the recording unit 303 and the generating unit 304 of the community monitoring apparatus 300 may refer to step 201, step 202, step 203 and step 204 in the corresponding embodiment of fig. 2.
In some optional implementations of this embodiment, the apparatus further comprises: and the uploading unit is configured to upload the action track to the Internet of things management platform.
In some optional implementations of this embodiment, the apparatus further comprises: a second determination unit configured to determine whether there is an abnormal behavior within the preset area based on one or more of the following information items within a preset time period: the number of strangers entering a preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area are preset; a third determination unit configured to determine staff information associated with the preset area in response to determining that there is an abnormal behavior within the preset area; and the pushing unit is configured to push the abnormal behavior information existing in the preset area to the terminal of the staff according to the staff information.
In some optional implementations of this embodiment, the abnormal behavior comprises civil house business behavior; and a second determination unit further configured to: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor is within a first preset time, determining that the civil house commercial behavior exists on the floor.
In some optional implementations of this embodiment, the abnormal behavior includes a group lease behavior; and a second determination unit further configured to: and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor exceeds a second preset time, determining that group renting behaviors exist on the floor.
According to the device provided by the embodiment of the application, the images collected by the cameras at the entrance and exit of the preset area in the community are acquired; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; according to the entrance and exit time and images of strangers collected by other cameras of the community except for the entrance and exit of the preset area, the action track of the stranger is generated, the actions of the stranger in the community are automatically monitored based on the images collected by the community cameras, and the community monitoring efficiency is improved.
Referring now to FIG. 4, a block diagram of a computer system 400 suitable for use in implementing a server or terminal of an embodiment of the present application is shown. The server or the terminal shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU)401 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components may be connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 409, and/or installed from the removable medium 411. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 401. It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the C language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first determination unit, a recording unit, and a generation unit. The names of the units do not form a limitation on the units themselves in some cases, and for example, the acquiring unit may also be described as a "unit configured to acquire images captured by cameras at the entrance and exit of a preset area in the community".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring images acquired by cameras at the entrance and exit of a preset area in a community; performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person; in response to the fact that the obtained images comprise face images of strangers, recording the entrance and exit time of the strangers; and generating action tracks of strangers according to the entrance and exit time and images of the strangers collected by other cameras except the entrance and exit of the preset area in the community.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A community monitoring method, comprising:
acquiring images acquired by cameras at the entrance and exit of a preset area in a community;
performing face recognition on the acquired image, and determining whether the acquired image comprises a face image of a stranger, wherein the face image of the stranger comprises a face image of a non-registered person;
in response to the fact that the obtained images comprise the face images of the strangers, recording the entrance and exit time of the strangers;
and generating the action track of the stranger according to the images of the stranger acquired by other cameras of the community except the entrance and the exit of the preset area.
2. The method of claim 1, wherein the method further comprises:
and uploading the action track to an Internet of things management platform.
3. The method according to claim 1 or 2, wherein the method further comprises:
determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in a preset time period: the number of strangers entering the preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area are determined;
in response to determining that abnormal behaviors exist in the preset area, determining worker information associated with the preset area;
and pushing the abnormal behavior information existing in the preset area to a terminal of a worker according to the worker information.
4. The method of claim 3, wherein the abnormal behavior comprises civil house business behavior; and
the method comprises the following steps of determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in a preset time period: the number of strangers entering the preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area comprise:
and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor is within a first preset time, determining that the civil house commercial behavior exists on the floor.
5. The method of claim 3, wherein the abnormal behavior comprises a group lease behavior; and
the method comprises the following steps of determining whether abnormal behaviors exist in the preset area based on one or more of the following information items in a preset time period: the number of strangers entering the preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area comprise:
and if the ratio of the number of the strangers staying on the same floor in the preset area to the number of the registered people in the preset area exceeds a preset threshold value, and the staying time of the strangers exceeding the preset number on the floor exceeds a second preset duration, determining that group renting behaviors exist on the floor.
6. A community monitoring apparatus comprising:
the acquisition unit is configured to acquire images acquired by cameras at the entrance and exit of a preset area in a community;
a first determination unit configured to perform face recognition on the acquired image, determine whether a face image of a stranger including a face image of a non-registered person is included in the acquired image;
a recording unit configured to record an entrance and exit time of the stranger in response to a determination that the acquired image includes a face image of the stranger;
the generating unit is configured to generate the action track of the stranger according to the images of the stranger acquired by other cameras of the community except for the entrance and the exit of the preset area.
7. The apparatus of claim 6, wherein the apparatus further comprises:
an uploading unit configured to upload the action track to an internet of things management platform.
8. The apparatus of claim 6 or 7, wherein the apparatus further comprises:
a second determination unit configured to determine whether there is an abnormal behavior within the preset area based on one or more of the following information items within a preset time period: the number of strangers entering the preset area, the number of registered persons in the preset area, the stop position of the stranger entering the preset area, the stop time of the stranger entering the preset area and the action track of the stranger entering the preset area are determined;
the third determining unit is configured to determine staff information related to the preset area in response to determining that abnormal behaviors exist in the preset area;
and the pushing unit is configured to push the abnormal behavior information existing in the preset area to a terminal of a worker according to the worker information.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-5.
10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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| CN202111447732.1A CN114092718A (en) | 2021-11-30 | 2021-11-30 | Community monitoring method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114724292A (en) * | 2022-03-31 | 2022-07-08 | 合肥指南针电子科技有限责任公司 | Prison management method |
| CN114920096A (en) * | 2022-05-14 | 2022-08-19 | 云知声智能科技股份有限公司 | Elevator control method and device based on intelligent large screen, electronic equipment and storage medium |
-
2021
- 2021-11-30 CN CN202111447732.1A patent/CN114092718A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114724292A (en) * | 2022-03-31 | 2022-07-08 | 合肥指南针电子科技有限责任公司 | Prison management method |
| CN114724292B (en) * | 2022-03-31 | 2023-08-22 | 合肥指南针电子科技有限责任公司 | Prison management method |
| CN114920096A (en) * | 2022-05-14 | 2022-08-19 | 云知声智能科技股份有限公司 | Elevator control method and device based on intelligent large screen, electronic equipment and storage medium |
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