CN112735015B - Community management method, device, machine-readable medium and equipment - Google Patents

Community management method, device, machine-readable medium and equipment Download PDF

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CN112735015B
CN112735015B CN202011562109.6A CN202011562109A CN112735015B CN 112735015 B CN112735015 B CN 112735015B CN 202011562109 A CN202011562109 A CN 202011562109A CN 112735015 B CN112735015 B CN 112735015B
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target object
suspected
house
characteristic information
houses
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CN112735015A (en
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林尔彬
万珺
何洪路
杨华
张迪
刘剑锋
张阳
胡瑞
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Chongqing Zhongke Yuncong Technology Co ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
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    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass

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Abstract

The invention discloses a community management method, which comprises the following steps: acquiring associated characteristic information of a target object; determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure; if the behavior characteristic information of the target object is suspected to be newly added, determining a house associated with the suspected newly added target object; generating a corresponding management strategy according to the type of the house associated with the suspected newly-added target object; if the behavior characteristic information of the target object is suspected to leave, determining a house associated with the suspected leaving target object; and determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object. The invention realizes the management of community population and community houses, and the management of suspected newly-increased population, suspected leaving population and suspected empty houses, thereby providing important data references for community security and the like.

Description

Community management method, device, machine-readable medium and equipment
Technical Field
The invention relates to the field of artificial intelligence and security, in particular to a community management method, a device, a machine-readable medium and equipment.
Background
The management of existing population also has the following drawbacks: the population management is inaccurate, unclear and fresh; the population of the community is large, so that the members of the community tend to be complicated, and the complexity of the community safety precaution management is increased; the activities such as organizing obligation patrol, neighborhood guard and the like are difficult to develop, and the community work can not be adapted to the current situation by simply developing the community work by means of manpower factors.
Disclosure of Invention
In view of the foregoing drawbacks of the prior art, an object of the present invention is to provide a community management method, apparatus, machine-readable medium and device for solving the problems of the prior art.
To achieve the above and other related objects, the present invention provides a community management method, comprising:
acquiring associated characteristic information of a target object;
determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure;
if the behavior characteristic information of the target object is suspected to be newly added, determining a house associated with the suspected newly added target object;
generating a corresponding management strategy according to the type of the house associated with the suspected newly-added target object;
if the behavior characteristic information of the target object is suspected to leave, determining a house associated with the suspected leaving target object;
and determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object.
Optionally, the types of the houses comprise a real house, an empty house and a suspected empty house; if no person is registered in the house or all registered persons migrate out, the house is an empty house; if the house has personnel registration, but all registered personnel are suspected to leave, the house is suspected to be empty; the real houses are equal to all the houses in the community management area, namely, the number of empty houses and the suspected empty houses.
Optionally, when determining the house associated with the suspected new object, determining the house associated with the suspected new object through the motion trail of the suspected new object.
Optionally, generating the motion trail of the suspected newly-added target object according to the time and place of the suspected newly-added target object.
Optionally, the state of the house associated with the suspected leaving target object includes suspected renting.
Optionally, the associated feature information includes: face characteristic information, human body characteristic information and characteristic information with identity identification.
Optionally, determining behavior characteristic information of the target object in the community management area according to the frequency and time rule of detecting the target object.
Optionally, if the number of times that the detection device detects the target object is greater than the set number of times in the first set period of time but the target object cannot be detected in the management library, the behavior characteristic information of the target object in the community management area is suspected to be newly added; if a certain target object can be detected in the management library but the target object is not detected by the detection device in the second set time period, the behavior characteristic information of the target object in the community management area is suspected to be away.
To achieve the above and other related objects, the present invention provides a community management apparatus comprising:
the associated feature information acquisition module is used for acquiring associated feature information of the target object;
the behavior characteristic information acquisition module is used for determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure;
the first house determining module is used for determining houses associated with the suspected newly-added target objects when the behavior characteristic information of the target objects is suspected newly-added;
the management policy generation module is used for generating a corresponding management policy according to the type of the house associated with the suspected new target object;
the second house determining module is used for determining houses associated with the suspected leaving target objects when the behavior characteristic information of the target objects is suspected leaving;
and the state determining module is used for determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object.
Optionally, the types of the houses comprise a real house, an empty house and a suspected empty house; if no person is registered in the house or all registered persons migrate out, the house is an empty house; if the house has personnel registration, but all registered personnel are suspected to leave, the house is suspected to be empty; the real houses are equal to all the houses in the community management area, namely, the number of empty houses and the suspected empty houses.
Optionally, when determining the house associated with the suspected new object, determining the house associated with the suspected new object through the motion trail of the suspected new object.
Optionally, the state of the house associated with the suspected leaving target object includes suspected renting.
Optionally, determining behavior characteristic information of the target object in the community management area according to the frequency and time rule of detecting the target object.
Optionally, if the number of times that the detection device detects the target object is greater than the set number of times in the first set period of time but the target object cannot be detected in the management library, the behavior characteristic information of the target object in the community management area is suspected to be newly added; if a certain target object can be detected in the management library but the target object is not detected by the detection device in the second set time period, the behavior characteristic information of the target object in the community management area is suspected to be away.
To achieve the above and other related objects, the present invention also provides an electronic device, including:
one or more processors; and
one or more machine readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform one or more of the methods described previously.
To achieve the above and other related objects, the present invention also provides one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform one or more of the methods described above.
As described above, the community management method, device, machine-readable medium and equipment provided by the invention have the following beneficial effects:
the community management method of the invention comprises the following steps: acquiring associated characteristic information of a target object; determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure; if the behavior characteristic information of the target object is suspected to be newly added, determining a house associated with the suspected newly added target object; generating a corresponding management strategy according to the type of the house associated with the suspected newly-added target object; if the behavior characteristic information of the target object is suspected to leave, determining a house associated with the suspected leaving target object; and determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object. The invention realizes the management of community population and community houses, and the management of suspected newly-increased population, suspected leaving population and suspected empty houses, thereby providing important data references for community security and the like.
Drawings
FIG. 1 is a flow chart of a community management method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a community management device according to an embodiment of the present invention;
fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present invention;
fig. 4 is a schematic hardware structure of a terminal device according to an embodiment of the invention.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
As shown in fig. 1, an embodiment of the present application provides a community management method, including:
s11, acquiring associated characteristic information of a target object;
s12, determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure;
s13, if the behavior characteristic information of the target object is suspected to be newly added, determining a house associated with the suspected newly added target object;
s14, generating a corresponding management strategy according to the type of the house associated with the suspected newly-added target object;
s15, if the behavior characteristic information of the target object is suspected to leave, determining a house associated with the suspected leaving target object;
s16, determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object.
The invention realizes the management of community population and community houses, and the management of suspected newly-increased population, suspected leaving population and suspected empty houses, thereby providing important data references for community security and the like.
In an embodiment, the associated feature information includes facial feature information, body feature information, and feature information with identification. The facial feature information comprises facial features such as eyes, nose, mouth and the like. Face feature information is captured by face capture machines (for example, a property management district may include face capture machines disposed at a district gate, each unit gate, and each floor position) disposed at a gateway of a community management area. The human body characteristic information includes fingerprint characteristic information, voiceprint characteristic information, iris characteristic information, palmprint characteristic information, vein characteristic information, and the like. The characteristic information with the identity identification mark, namely the characteristic information which is pre-stored and can determine the identity information of the target object through the identity identification mark information, wherein the information can be a string of character strings, such as an identity card number or other numbers, the numbers have uniqueness, and the corresponding identity information can be obtained through the numbers; the character string may be pre-stored in an identification card, such as an identification card or RFID card. The identity information is the identity information of the target object, and may include name, age, gender, certificate number, certificate photograph, etc.
In an embodiment, the behavior characteristic information of the target object in the community management area is determined according to the frequency and time rule of detecting the target object.
Specifically, if the number of times that the detection device detects the target object is greater than the set number of times in the first set period of time but the target object cannot be detected in the management library, the behavior characteristic information of the target object in the community management area is suspected to be newly increased; if a certain target object can be detected in the management library but the target object is not detected by the detection device in the second set time period, the behavior characteristic information of the target object in the community management area is suspected to be away. When determining whether the behavior characteristic information of a certain target object is suspected to leave, acquiring the associated characteristic information of the target object, and acquiring the corresponding associated characteristic information from a management library by traversing the management library.
More specifically, if the target object can be detected by the detection device in a fixed place in the morning and afternoon every day within five days, but the target object is not in the management library, the behavior characteristic information of the target object can be considered as suspected new increase; if a certain target object can be detected in the management library, but the target object is not detected by the detection device within one month, the behavior characteristic information of the target object can be considered as suspected departure. The detection equipment can be a camera, a face snapshot, a card reader, a fingerprint identification device, an iris identification device and the like.
In one embodiment, the types of houses include a real house, an empty house, a suspected empty house; if no person is registered in the house or all registered persons migrate out, the house is an empty house; if the house has personnel registration, but all registered personnel are suspected to leave, the house is suspected to be empty; the real houses are equal to all the houses in the community management area, namely, the number of empty houses and the suspected empty houses.
In an embodiment, when determining the house associated with the suspected new object, determining the house associated with the suspected new object through the motion trail of the suspected new object.
Specifically, a target object is determined first, then the target object is snapped through a community management area gate, entrances and exits of each building/unit, face snapping machines or face gating machines or cameras in each building/unit elevator and in each floor corridor, a movement track of the target object is generated according to time and place of the snapped target object, and then house information related to the target object can be found according to the movement track. Of course, if there is not enough snapshot device, the movement track can be determined through an access card and the like, and the house type associated with the target object can be determined manually.
The last exit position of the target object is determined through the motion trail of the target object, and further the house into which the target object enters can be determined. If the house into which the target object enters is a real house, the target object can be considered to have a corresponding relationship with at least the homeowner of the real house, which is likely to be a visitor and likely to be a relative. Then at this point a first management policy is generated to manage the target object. If the house into which the target object enters is suspected to be empty, the suspected empty house is registered by the house personnel, but all registered personnel are suspected to leave, so that the suspected empty house can be understood to be rented out, and a second management policy is generated to manage the target object. Of course, judging whether the house associated with the target object is rented out or not, and acquiring life index data associated with the house information; and judging the using state of the house according to the life index.
If the house where the target object enters is an empty house, since the empty house is defined as no person is registered or all registered persons migrate out, the behavior of the target object entering the house can be considered to be a suspected dangerous behavior, and at this time, a third management policy can be generated to manage the target object.
It is understood that the severity of the first management policy, the second management policy, and the third management policy are sequentially increased. For example, the first management policy may be to let the property manager confirm through the contact industry master; the second management policy may be to let the property manager go to the gate for confirmation; the third management policy may be to generate report information and output the report information to the community security manager, and check the authenticity of the target object through the community security manager.
In an embodiment, the motion trail of the suspected newly added target object is generated according to the time and place of the suspected newly added target object. Wherein the trajectory of the target object may be reflected by a device identification of the device that detected the target object, the device identification comprising a device number, a location of the device.
Specifically, the time and the corresponding place of the detected target object are sequenced according to the time sequence, and the motion trail of the target object is obtained based on the time and the corresponding place of the sequenced target object.
Suppose, 1, snapshot time: position of the snap-shot device at 9 am 15 minutes at 12 months 2019, 30 days: a1; 2. snapshot time: position of the snap-shot device 25 minutes at 9 am on 12 months 2019: b2; 3. snapshot time: position of the snapshot device at 9 am 30 minutes at 12 months 2019: c1; 4. snapshot time: position of the snap-shot device at 9 am 40 minutes at 12 months 2019, 30 days: D3. the travel path of the target object may be determined from A1 to B2, to C1, and finally to D3 as shown in fig. 2.
In steps S15 and S16, if the behavior feature information of the target object is suspected to leave, determining a house associated with the suspected leaving target object; and determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object.
It can be understood that the suspected leaving target object belongs to a registered population in the community management area, and the associated characteristic information, house information and historical life index data of the target object are stored in the management library; the house information comprises specific positions of houses and the number of residents in the houses. It will be appreciated that the life index data of the house is related to the number of residents of the house, and the larger the number of residents, the smaller the number of residents, and the smaller the life index data. Therefore, the state of the house associated with the target object can be judged by the life index data.
If it is detected that the number of living persons in the house decreases, that is, if it is detected that the house has a target object suspected of leaving, the life index data of the house should theoretically decrease. If the life index data of the house is not reduced or the reduction amplitude is within a normal range in practice, it can be considered that a certain room in the house is rented out; if it is detected that the number of living persons in the house decreases, that is, if it is detected that the house has a target object suspected of leaving, but in reality, the life index data of the house also decreases accordingly, it is considered that the house is not rented.
It should be understood that the sequence numbers of the steps in the foregoing embodiments do not mean the order of execution, and the execution order of the processes should be determined by the functions and the internal logic, and should not be construed as limiting the implementation process of the embodiments of the present invention.
As shown in fig. 2, a community management apparatus includes:
an associated feature information acquisition module 21, configured to acquire associated feature information of a target object;
the behavior feature information obtaining module 22 is configured to determine, according to the associated feature information, behavior feature information of the target object in a community management area, where the behavior feature information includes suspected new addition and suspected departure;
a first house determining module 23, configured to determine a house associated with the suspected newly-added target object when the behavior feature information of the target object is suspected newly-added;
the management policy generation module 24 is configured to generate a corresponding management policy according to the type of the house associated with the suspected new target object;
a second house determining module 25, configured to determine a house associated with the suspected leaving target object when the behavior feature information of the target object is suspected leaving;
the state determining module 26 is configured to determine a state of the house associated with the suspected leaving target object according to life index data of the house associated with the suspected leaving target object.
In an embodiment, the associated feature information includes facial feature information, body feature information, and feature information with identification. The facial feature information comprises facial features such as eyes, nose, mouth and the like. Face feature information is captured by face capture machines (for example, a property management district may include face capture machines disposed at a district gate, each unit gate, and each floor position) disposed at a gateway of a community management area. The human body characteristic information includes fingerprint characteristic information, voiceprint characteristic information, iris characteristic information, palmprint characteristic information, vein characteristic information, and the like. The characteristic information with the identity identification mark, namely the characteristic information which is pre-stored and can determine the identity information of the target object through the identity identification mark information, wherein the information can be a string of character strings, such as an identity card number or other numbers, the numbers have uniqueness, and the corresponding identity information can be obtained through the numbers; the character string may be pre-stored in an identification card, such as an identification card or RFID card. The identity information is the identity information of the target object, and may include name, age, gender, certificate number, certificate photograph, etc.
In an embodiment, the behavior feature information acquisition module determines behavior feature information of the target object in the community management area according to the frequency and time rule of detecting the target object.
Specifically, if the number of times that the detection device detects the target object is greater than the set number of times in the first set period of time but the target object cannot be detected in the management library, the behavior characteristic information of the target object in the community management area is suspected to be newly increased; if a certain target object can be detected in the management library but the target object is not detected by the detection device in the second set time period, the behavior characteristic information of the target object in the community management area is suspected to be away. When determining whether the behavior characteristic information of a certain target object is suspected to leave, acquiring the associated characteristic information of the target object, and acquiring the corresponding associated characteristic information from a management library by traversing the management library.
More specifically, if the target object can be detected by the detection device in a fixed place in the morning and afternoon every day within five days, but the target object is not in the management library, the behavior characteristic information of the target object can be considered as suspected new increase; if a certain target object can be detected in the management library, but the target object is not detected by the detection device within one month, the behavior characteristic information of the target object can be considered as suspected departure. The detection equipment can be a camera, a face snapshot, a card reader, a fingerprint identification device, an iris identification device and the like.
In one embodiment, the types of houses include a real house, an empty house, a suspected empty house; if no person is registered in the house or all registered persons migrate out, the house is an empty house; if the house has personnel registration, but all registered personnel are suspected to leave, the house is suspected to be empty; the real houses are equal to all the houses in the community management area, namely, the number of empty houses and the suspected empty houses.
In an embodiment, the first house type determining module determines the house associated with the suspected new target object through a motion track of the suspected new target object when determining the house associated with the suspected new target object.
Specifically, a target object is determined first, then the target object is snapped through a community management area gate, entrances and exits of each building/unit, face snapping machines or face gating machines or cameras in each building/unit elevator and in each floor corridor, a movement track of the target object is generated according to time and place of the snapped target object, and then house information related to the target object can be found according to the movement track. Of course, if there is not enough snapshot device, the movement track can be determined through an access card and the like, and the house type associated with the target object can be determined manually.
The last exit position of the target object is determined through the motion trail of the target object, and further the house into which the target object enters can be determined. If the house into which the target object enters is a real house, the target object can be considered to have a corresponding relationship with at least a homeowner of the real house, possibly a visitor, possibly a relative, or a tenant of the real house. Then at this point a first management policy is generated to manage the target object. If the house into which the target object enters is suspected to be empty, the suspected empty house is registered by the house personnel, but all registered personnel are suspected to leave, so that the suspected empty house can be understood to be rented out, and a second management policy is generated to manage the target object. Of course, judging whether the house associated with the target object is rented out or not, and acquiring life index data associated with the house information; and judging the using state of the house according to the life index.
If the house where the target object enters is an empty house, since the empty house is defined as no person is registered or all registered persons migrate out, the behavior of the target object entering the house can be considered to be a suspected dangerous behavior, and at this time, a third management policy can be generated to manage the target object.
It is understood that the severity of the first management policy, the second management policy, and the third management policy are sequentially increased. For example, the first management policy may be to let the property manager confirm through the contact industry master; the second management policy may be to let the property manager go to the gate for confirmation; the third management policy may be to generate report information and output the report information to the community security manager, and check the authenticity of the target object through the community security manager.
In an embodiment, the first house type determining module generates the motion trail of the suspected newly added target object according to the time and place of the suspected newly added target object. Wherein the trajectory of the target object may be reflected by a device identification of the device that detected the target object, the device identification comprising a device number, a location of the device.
Specifically, the time and the corresponding place of the detected target object are sequenced according to the time sequence, and the motion trail of the target object is obtained based on the time and the corresponding place of the sequenced target object.
Suppose, 1, snapshot time: position of the snap-shot device at 9 am 15 minutes at 12 months 2019, 30 days: a1; 2. snapshot time: position of the snap-shot device 25 minutes at 9 am on 12 months 2019: b2; 3. snapshot time: position of the snapshot device at 9 am 30 minutes at 12 months 2019: c1; 4. snapshot time: position of the snap-shot device at 9 am 40 minutes at 12 months 2019, 30 days: D3. the travel path of the target object may be determined from A1 to B2, to C1, and finally to D3 as shown in fig. 2.
The embodiment of the application also provides a device, which may include: one or more processors; and one or more machine readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform the method described in fig. 1. In practical applications, the device may be used as a terminal device or may be used as a server, and examples of the terminal device may include: smart phones, tablet computers, e-book readers, MP3 (dynamic video expert compression standard voice plane 3,Moving Picture Experts Group Audio Layer III) players, MP4 (dynamic video expert compression standard voice plane 4, moving Picture Experts Group Audio Layer IV) players, laptop computers, car computers, desktop computers, set-top boxes, smart televisions, wearable devices, etc., the embodiments of the present application are not limited to specific devices.
The embodiment of the application further provides a non-volatile readable storage medium, where one or more modules (programs) are stored, where the one or more modules are applied to a device, and the device may be caused to execute instructions (instructions) of steps included in the method in fig. 1 in the embodiment of the application.
Fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application. As shown, the terminal device may include: an input device 1100, a first processor 1101, an output device 1102, a first memory 1103 and at least one communication bus 1104. The communication bus 1104 is used to enable communication connections between the elements. The first memory 1103 may comprise a high-speed RAM memory or may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and various programs may be stored in the first memory 1103 for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the first processor 1101 may be implemented as, for example, a central processing unit (Central Processing Unit, abbreviated as CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the first processor 1101 is coupled to the input device 1100 and the output device 1102 through a wired or wireless connection.
Alternatively, the input device 1100 may include a variety of input devices, for example, may include at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between devices; alternatively, the user-oriented user interface may be, for example, a user-oriented control key, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen, a touch pad, etc. having touch-sensitive functionality) for receiving user touch input by a user; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc.; the output device 1102 may include a display, sound, or the like.
In this embodiment, the processor of the terminal device may include a function for executing each module in each device, and specific functions and technical effects may be referred to the above embodiments and are not described herein again.
Fig. 4 is a schematic hardware structure of a terminal device according to an embodiment of the present application. Fig. 4 is a specific embodiment of the implementation of fig. 3. As shown, the terminal device of the present embodiment may include a second processor 1201 and a second memory 1202.
The second processor 1201 executes the computer program code stored in the second memory 1202 to implement the method described in fig. 1 in the above embodiment.
The second memory 1202 is configured to store various types of data to support operations at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, video, etc. The second memory 1202 may include a random access memory (random access memory, simply RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a second processor 1201 is provided in the processing assembly 1200. The terminal device may further include: a communication component 1203, a power component 1204, a multimedia component 1205, a voice component 1206, an input/output interface 1207, and/or a sensor component 1208. The components and the like specifically included in the terminal device are set according to actual requirements, which are not limited in this embodiment.
The processing component 1200 generally controls the overall operation of the terminal device. The processing assembly 1200 may include one or more second processors 1201 to execute instructions to perform all or part of the steps in the data processing methods described above. Further, the processing component 1200 may include one or more modules that facilitate interactions between the processing component 1200 and other components. For example, the processing component 1200 may include a multimedia module to facilitate interaction between the multimedia component 1205 and the processing component 1200.
The power supply component 1204 provides power to the various components of the terminal device. Power supply components 1204 can include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for terminal devices.
The multimedia component 1205 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.
The voice component 1206 is configured to output and/or input voice signals. For example, the voice component 1206 includes a Microphone (MIC) configured to receive external voice signals when the terminal device is in an operational mode, such as a voice recognition mode. The received voice signals may be further stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the voice component 1206 further includes a speaker for outputting voice signals.
The input/output interface 1207 provides an interface between the processing assembly 1200 and peripheral interface modules, which may be click wheels, buttons, and the like. These buttons may include, but are not limited to: volume button, start button and lock button.
The sensor assembly 1208 includes one or more sensors for providing status assessment of various aspects for the terminal device. For example, the sensor assembly 1208 may detect an on/off state of the terminal device, a relative positioning of the assembly, and the presence or absence of user contact with the terminal device. The sensor assembly 1208 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 1208 may also include a camera or the like.
The communication component 1203 is configured to facilitate communication between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot therein for inserting a SIM card, so that the terminal device may log into a GPRS network and establish communication with a server via the internet.
From the above, the communication component 1203, the voice component 1206, the input/output interface 1207, and the sensor component 1208 in the embodiment of fig. 4 can be implemented as input devices in the embodiment of fig. 3.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.

Claims (14)

1. A community management method, comprising:
acquiring associated characteristic information of a target object;
determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure;
if the behavior characteristic information of the target object is suspected to be newly added, determining a house associated with the suspected newly added target object;
generating a corresponding management strategy according to the type of the house associated with the suspected newly-added target object;
if the behavior characteristic information of the target object is suspected to leave, determining a house associated with the suspected leaving target object;
determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object;
the types of the houses comprise real houses, empty houses and suspected empty houses; if no person is registered in the house or all registered persons migrate out, the house is an empty house; if the house has personnel registration, but all registered personnel are suspected to leave, the house is suspected to be empty; the real houses are equal to all the houses in the community management area, namely the number of the houses, namely the empty houses and the suspected empty houses;
if the house where the target object enters is a real house, the target object at least has a corresponding relation with a homeowner of the real house, and a first management strategy is generated to manage the target object;
if the house into which the target object enters is suspected to be empty, renting the suspected empty house, and generating a second management strategy to manage the target object;
if the house where the target object enters is an empty house, the behavior of the target object entering the house belongs to suspected dangerous behavior, and a third management strategy is generated to manage the target object.
2. The community management method according to claim 1, wherein when determining the house associated with the suspected new object, determining the house associated with the suspected new object through a motion trail of the suspected new object.
3. The community management method according to claim 2, wherein the motion trail of the suspected newly added target object is generated according to the time and place of the suspected newly added target object.
4. The community management method of claim 1, wherein the status of the house associated with the suspected leaving target object includes suspected renting.
5. The community management method according to claim 1, wherein the associated feature information includes: face characteristic information, human body characteristic information and characteristic information with identity identification.
6. The community management method according to claim 1, wherein the behavior feature information of the target object in the community management area is determined according to the frequency and time law of detecting the target object.
7. The community management method according to claim 6, wherein if the number of times the target object is detected by the detection device in the first set period of time is greater than the set number of times but the target object cannot be detected in the management library, the behavior feature information of the target object in the community management area is suspected to be newly added; if a certain target object can be detected in the management library but the target object is not detected by the detection device in the second set time period, the behavior characteristic information of the target object in the community management area is suspected to be away.
8. A community management apparatus, comprising:
the associated feature information acquisition module is used for acquiring associated feature information of the target object;
the behavior characteristic information acquisition module is used for determining behavior characteristic information of the target object in a community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected departure;
the first house determining module is used for determining houses associated with the suspected newly-added target objects when the behavior characteristic information of the target objects is suspected newly-added;
the management policy generation module is used for generating a corresponding management policy according to the type of the house associated with the suspected new target object;
the second house determining module is used for determining houses associated with the suspected leaving target objects when the behavior characteristic information of the target objects is suspected leaving;
the state determining module is used for determining the state of the house associated with the suspected leaving target object according to the life index data of the house associated with the suspected leaving target object;
the types of the houses comprise real houses, empty houses and suspected empty houses; if no person is registered in the house or all registered persons migrate out, the house is an empty house; if the house has personnel registration, but all registered personnel are suspected to leave, the house is suspected to be empty; the real houses are equal to all the houses in the community management area, namely the number of the houses, namely the empty houses and the suspected empty houses;
if the house where the target object enters is a real house, the target object at least has a corresponding relation with a homeowner of the real house, and a first management strategy is generated to manage the target object;
if the house into which the target object enters is suspected to be empty, renting the suspected empty house, and generating a second management strategy to manage the target object;
if the house where the target object enters is an empty house, the behavior of the target object entering the house belongs to suspected dangerous behavior, and a third management strategy is generated to manage the target object.
9. The community management apparatus according to claim 8, wherein when determining the house associated with the suspected new object, the house associated with the suspected new object is determined by a motion trajectory of the suspected new object.
10. The community management apparatus of claim 8, wherein the status of the house associated with the suspected leaving target object comprises suspected renting.
11. The community management apparatus according to claim 8, wherein the behavior feature information of the target object in the community management area is determined according to the frequency and time law of detecting the target object.
12. The community management apparatus according to claim 11, wherein if the number of times the target object is detected by the detection device in the first set period of time is greater than a set number of times but the target object cannot be detected in the management library, the behavior feature information of the target object in the community management area is suspected to be newly added; if a certain target object can be detected in the management library but the target object is not detected by the detection device in the second set time period, the behavior characteristic information of the target object in the community management area is suspected to be away.
13. An electronic device, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform the method of one or more of claims 1-7.
14. One or more machine readable media having instructions stored thereon that, when executed by one or more processors, cause an apparatus to perform the method of one or more of claims 1-7.
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