CN112735015A - Community management method, device, machine readable medium and equipment - Google Patents
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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 increased, determining a house associated with the suspected newly increased 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, the management of doubtful newly-added population, doubtful leaving population and doubtful vacant houses, and further provides important data reference for community security protection and the like.
Description
Technical Field
The invention relates to the field of artificial intelligence and security, in particular to a community management method, a community management device, a machine readable medium and equipment.
Background
The management of the existing population also has the following disadvantages: the actual population management is inaccurate, unclear and not fresh; the community population is large, so that community members tend to be complicated, and the complexity of community security and protection management is increased; the activities such as compulsory patrol, neighborhood watching and the like are difficult to develop, and the community work which is carried out only by manpower factors cannot meet the requirement of the current situation.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a community management method, apparatus, machine-readable medium and device, which are used to solve the problems of the prior art.
To achieve the above and other related objects, the present invention provides a community management method, including:
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 increased, determining a house associated with the suspected newly increased 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 type of the house includes a real house, an empty house, and a suspected empty house; if no personnel are registered in the house or all registered personnel are moved out, the house is an empty house; if the house has personnel registration, but all the registered personnel are suspected to leave, the house is suspected to be empty; the number of the real houses is equal to the number of all houses in the community management area, namely, empty houses, and suspected empty houses.
Optionally, when determining the house associated with the suspected newly-added target object, determining the house associated with the suspected newly-added target object according to the motion trajectory of the suspected newly-added target object.
Optionally, a motion trajectory of the suspected newly added target object is generated according to the time and the place of the detected suspected newly added target object.
Optionally, the status of the premises associated with the target object suspected of leaving comprises a suspected lease.
Optionally, the associated feature information includes: face feature information, human body feature information and feature information with identity identification marks.
Optionally, behavior feature information of the target object in the community management area is determined according to the frequency and time regulation of the target object.
Optionally, if the number of times that the target object is detected by the detection device within a first set time period is greater than the set number of times but the target object cannot be detected in the management library, 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 is not detected by the detection device within a second set time period, the behavior characteristic information of the target object in the community management area is suspected to leave.
To achieve the above and other related objects, the present invention provides a community management apparatus, comprising:
the associated characteristic information acquisition module is used for acquiring the associated characteristic information of the target object;
a behavior feature information obtaining module, configured to determine, through the associated feature information, behavior feature information of the target object in a community management area, where the behavior feature information includes a suspected new addition and a suspected departure;
the first house determining module is used for determining a house associated with the target object which is suspected to be newly added when the behavior characteristic information of the target object is suspected to be newly added;
the management strategy generation module is used for generating a corresponding management strategy according to the house type associated with the suspected newly added target object;
the second house determining module is used for determining a house related to the target object which is suspected to leave when the behavior characteristic information of the target object is suspected to leave;
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 type of the house includes a real house, an empty house, and a suspected empty house; if no personnel are registered in the house or all registered personnel are moved out, the house is an empty house; if the house has personnel registration, but all the registered personnel are suspected to leave, the house is suspected to be empty; the number of the real houses is equal to the number of all houses in the community management area, namely, empty houses, and suspected empty houses.
Optionally, when determining the house associated with the suspected newly-added target object, determining the house associated with the suspected newly-added target object according to the motion trajectory of the suspected newly-added target object.
Optionally, the status of the premises associated with the target object suspected of leaving comprises a suspected lease.
Optionally, behavior feature information of the target object in the community management area is determined according to the frequency and time regulation of the target object.
Optionally, if the number of times that the target object is detected by the detection device within a first set time period is greater than the set number of times but the target object cannot be detected in the management library, 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 is not detected by the detection device within a second set time period, the behavior characteristic information of the target object in the community management area is suspected to leave.
To achieve the above and other related objects, the present invention also provides an electronic device, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, 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 objects 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, apparatus, machine-readable medium and device provided by the present invention have the following advantages:
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 increased, determining a house associated with the suspected newly increased 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, the management of doubtful newly-added population, doubtful leaving population and doubtful vacant houses, and further provides important data reference for community security protection and the like.
Drawings
FIG. 1 is a flowchart illustrating a community management method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a community management apparatus according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, 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 the associated characteristic information of the target object;
s12, determining behavior characteristic information of the target object in the community management area through the associated characteristic information, wherein the behavior characteristic information comprises suspected new addition and suspected leaving;
s13, if the behavior feature 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 house type associated with the suspected newly added target object;
s15, if the behavior feature information of the target object is suspected to leave, determining a house associated with the suspected leaving target object;
s16 determines a status of the premises associated with the suspected departing target object based on the life index data of the premises associated with the suspected departing target object.
The invention realizes the management of community population and community houses, the management of doubtful newly-added population, doubtful leaving population and doubtful vacant houses, and further provides important data reference for community security protection and the like.
In an embodiment, the associated feature information includes face feature information, body feature information, and feature information with an identification mark. The face feature information includes face features such as eyes, nose, mouth, and the like. The face feature information is captured by a face capturing machine (for example, a property management cell, which may include a face capturing machine disposed at a cell gate, and each floor position) disposed at an entrance and an exit of the community management area. The human body characteristic information comprises fingerprint characteristic information, voiceprint characteristic information, iris characteristic information, palm print characteristic information, vein characteristic information and the like. The characteristic information with the identification mark, namely the prestored characteristic information which can determine the identification information of the target object through the identification information, can be a string of character strings, such as identification card numbers or other numbers, and the numbers have uniqueness, so that the corresponding identification 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 can include name, age, gender, certificate number, certificate photo and the like.
In an embodiment, behavior feature information of the target object in the community management area is determined according to the frequency and time regulation of the target object.
Specifically, if the number of times that the target object is detected by the detection device within a first set time period is greater than a set number of times but the target object cannot be detected in the management library, 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 is not detected by the detection device within a second set time period, the behavior characteristic information of the target object in the community management area is suspected to leave. When determining whether the behavior feature information of a certain target object is suspected to leave, acquiring the associated feature information of the target object, and acquiring the corresponding associated feature information from the management library by traversing the management library.
More specifically, if a target object can be detected by the detection device in a fixed place in five days, morning and afternoon every day, but the target object is not found in the management library, the behavior feature information of the target object can be considered as a suspected new addition; if a 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 feature 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 the house include a real house, an empty house, and a suspected empty house; if no personnel are registered in the house or all registered personnel are moved out, the house is an empty house; if the house has personnel registration, but all the registered personnel are suspected to leave, the house is suspected to be empty; the number of the real houses is equal to the number of all houses in the community management area, namely, empty houses, and suspected empty houses.
In an embodiment, when determining the house associated with the suspected newly-added target object, the house associated with the suspected newly-added target object is determined according to the motion trajectory of the suspected newly-added target object.
Specifically, a target object is determined, the target object is captured through a community management area gate, an entrance and an exit of each building/unit, a face capturing machine or a face door controller or a camera in each building/unit elevator and each floor corridor, a motion track of the target object is generated according to the time and the place of capturing the target object, and then house information related to the target object can be found according to the motion track. Of course, if there is not enough capturing devices, the motion track can be determined by an access card or the like, and the house type associated with the target object can be determined manually.
And determining the position of the target object which is last out according to the motion track of the target object, and further determining the house into which the target object enters. If the house into which the target object enters is an actual house, the target object can be considered to have a corresponding relationship with at least a homeowner of the actual house, possibly a visitor and possibly a relative. Then, at this time, a first management policy is generated to manage the target object. If the house where the target object enters is suspected to be empty, the house is suspected to be empty because the house is registered by the house personnel, but all registered personnel are suspected to leave, so that the house which is suspected to be empty is leased, and the second management strategy is generated to manage the target object. Of course, whether the house associated with the target object is leased or not is judged, and life index data associated with the house information can be acquired; and judging the use 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 are removed, the behavior that the target object enters the house can be considered as 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 strictness degree of the first management policy, the second management policy and the third management policy is increased in sequence. For example, the first management policy may be to let the property manager perform confirmation by contacting the property owner; the second management strategy can be to make the property management party perform door-to-door confirmation; the third management strategy can be that report information is generated and output to a community security manager, and the authenticity of the target object is rechecked through the community security manager.
In an embodiment, a motion trajectory of the suspected newly added target object is generated according to the time and the place of the detected suspected newly added target object. The track of the target object can be reflected by the device identifier of the device which detects the target object, wherein the device identifier comprises a device number and a device position.
Specifically, the time when the target object is detected and the corresponding location are sequenced according to the time sequence, and the motion trail of the target object is obtained based on the sequenced time and corresponding location of the target object.
Assume, 1, snapshot time: position of snapshot device at 9 am and 15 am on 30 am of 12 and 30 months in 2019: a1; 2. and (3) snapshot time: position of the snapshotting device at 9 am for 25 minutes in 30 am in 12/2019: b2; 3. and (3) snapshot time: 30 am at 9 am on 30 th of 12/2019, and the position of the snapshot device: c1; 4. and (3) snapshot time: position of the snapshotting device at 9 am and 40 am on 12/30/2019: D3. the walking trajectory of the target object can be determined, as shown in fig. 2, from a1 to B2, to C1, and finally to D3.
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 target object suspected of leaving belongs to the registered population in the community management area, and the management library stores the associated characteristic information, the house information and the historical life index data of the target object; the house information includes a specific location of the house and the number of people living in the house. It is understood that the life index data of the house is related to the number of people living in the house, and the larger the number of people, the larger the life index data, and the smaller the number of people, the smaller the life index data. Thus, the state of the house associated with the target object can be judged by the life index data.
If a decrease in the number of occupants of the house is detected, i.e., if the house is detected to have a target object suspected of leaving, the life index data of the house should theoretically decrease. If the data of the living index of the house is not reduced or the reduction range is in a normal range, a certain room in the house can be regarded as being rented out; if the number of people living in the house is detected to be reduced, that is, the house is detected to have a target object which is suspected to leave, and the life index data of the house is also reduced correspondingly, the house can be regarded as not being rented out.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
As shown in fig. 2, a community management apparatus includes:
an associated feature information obtaining module 21, configured to obtain associated feature information of the target object;
a behavior feature information obtaining module 22, configured to determine, through the associated feature information, behavior feature information of the target object in a community management area, where the behavior feature information includes a suspected new addition and a suspected departure;
a first house determining module 23, configured to determine, when the behavior feature information of the target object is suspected to be newly added, a house associated with the suspected newly added target object;
a management policy generating module 24, configured to generate a corresponding management policy according to the type of the house associated with the suspected newly added target object;
a second house determining module 25, configured to determine, when the behavioral characteristic information of the target object is suspected to leave, a house associated with the suspected leaving target object;
a state determining module 26, configured to determine, according to the life index data of the house associated with the suspected departing target object, a state of the house associated with the suspected departing target object.
In an embodiment, the associated feature information includes face feature information, body feature information, and feature information with an identification mark. The face feature information includes face features such as eyes, nose, mouth, and the like. The face feature information is captured by a face capturing machine (for example, a property management cell, which may include a face capturing machine disposed at a cell gate, and each floor position) disposed at an entrance and an exit of the community management area. The human body characteristic information comprises fingerprint characteristic information, voiceprint characteristic information, iris characteristic information, palm print characteristic information, vein characteristic information and the like. The characteristic information with the identification mark, namely the prestored characteristic information which can determine the identification information of the target object through the identification information, can be a string of character strings, such as identification card numbers or other numbers, and the numbers have uniqueness, so that the corresponding identification 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 can include name, age, gender, certificate number, certificate photo and the like.
In an embodiment, the behavior feature information acquiring module determines the behavior feature information of the target object in the community management area according to the frequency and time regulation of the target object being detected.
Specifically, if the number of times that the target object is detected by the detection device within a first set time period is greater than a set number of times but the target object cannot be detected in the management library, 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 is not detected by the detection device within a second set time period, the behavior characteristic information of the target object in the community management area is suspected to leave. When determining whether the behavior feature information of a certain target object is suspected to leave, acquiring the associated feature information of the target object, and acquiring the corresponding associated feature information from the management library by traversing the management library.
More specifically, if a target object can be detected by the detection device in a fixed place in five days, morning and afternoon every day, but the target object is not found in the management library, the behavior feature information of the target object can be considered as a suspected new addition; if a 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 feature 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 the house include a real house, an empty house, and a suspected empty house; if no personnel are registered in the house or all registered personnel are moved out, the house is an empty house; if the house has personnel registration, but all the registered personnel are suspected to leave, the house is suspected to be empty; the number of the real houses is equal to the number of all houses in the community management area, namely, empty houses, and suspected empty houses.
In an embodiment, when determining the house associated with the suspected newly-added target object, the first house type determining module determines the house associated with the suspected newly-added target object through a motion trajectory of the suspected newly-added target object.
Specifically, a target object is determined, the target object is captured through a community management area gate, an entrance and an exit of each building/unit, a face capturing machine or a face door controller or a camera in each building/unit elevator and each floor corridor, a motion track of the target object is generated according to the time and the place of capturing the target object, and then house information related to the target object can be found according to the motion track. Of course, if there is not enough capturing devices, the motion track can be determined by an access card or the like, and the house type associated with the target object can be determined manually.
And determining the position of the target object which is last out according to the motion track of the target object, and further determining the house into which the target object enters. If the house into which the target object enters is the real house, the target object can be considered to have a corresponding relationship with at least a homeowner of the real house, and can be a visitor, a relative or a tenant of the real house. Then, at this time, a first management policy is generated to manage the target object. If the house where the target object enters is suspected to be empty, the house is suspected to be empty because the house is registered by the house personnel, but all registered personnel are suspected to leave, so that the house which is suspected to be empty is leased, and the second management strategy is generated to manage the target object. Of course, whether the house associated with the target object is leased or not is judged, and life index data associated with the house information can be acquired; and judging the use 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 are removed, the behavior that the target object enters the house can be considered as 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 strictness degree of the first management policy, the second management policy and the third management policy is increased in sequence. For example, the first management policy may be to let the property manager perform confirmation by contacting the property owner; the second management strategy can be to make the property management party perform door-to-door confirmation; the third management strategy can be that report information is generated and output to a community security manager, and the authenticity of the target object is rechecked through the community security manager.
In an embodiment, the first house type determining module generates a motion trajectory of the target object suspected of being newly added according to the time and the place of detecting the target object suspected of being newly added. The track of the target object can be reflected by the device identifier of the device which detects the target object, wherein the device identifier comprises a device number and a device position.
Specifically, the time when the target object is detected and the corresponding location are sequenced according to the time sequence, and the motion trail of the target object is obtained based on the sequenced time and corresponding location of the target object.
Assume, 1, snapshot time: position of snapshot device at 9 am and 15 am on 30 am of 12 and 30 months in 2019: a1; 2. and (3) snapshot time: position of the snapshotting device at 9 am for 25 minutes in 30 am in 12/2019: b2; 3. and (3) snapshot time: 30 am at 9 am on 30 th of 12/2019, and the position of the snapshot device: c1; 4. and (3) snapshot time: position of the snapshotting device at 9 am and 40 am on 12/30/2019: D3. the walking trajectory of the target object can be determined, as shown in fig. 2, from a1 to B2, to C1, and finally to D3.
An embodiment of the present application further provides an apparatus, which may include: one or more processors; and one or more machine readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of fig. 1. In practical applications, the device may be used as a terminal device, and may also be used as a server, where examples of the terminal device may include: the mobile terminal includes a smart phone, a tablet computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop, a vehicle-mounted computer, a desktop computer, a set-top box, an intelligent television, a wearable device, and the like.
The present application further provides a non-transitory readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a device, the device may be caused to execute instructions (instructions) of steps included in the method in fig. 1 according to the present application.
Fig. 3 is a schematic diagram of a 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 implement communication connections between the elements. The first memory 1103 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and the first memory 1103 may store various programs for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the first processor 1101 may be, for example, a Central Processing Unit (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.
Optionally, the input device 1100 may include a variety of input devices, such as at least one of a user-oriented user interface, a device-oriented device interface, a software programmable interface, 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 plug-in interface (e.g., a USB interface, a serial port, etc.) for data transmission between devices; optionally, the user-facing user interface may be, for example, a user-facing control key, a voice input device for receiving voice input, and a touch sensing device (e.g., a touch screen with a touch sensing function, a touch pad, etc.) for receiving user touch input; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, such as an input pin interface or an input interface of a chip; the output devices 1102 may include output devices such as a display, audio, and the like.
In this embodiment, the processor of the terminal device includes a module for executing functions of each module in each device, and specific functions and technical effects may refer to the foregoing embodiments, which are not described herein again.
Fig. 4 is a schematic hardware structure diagram of a terminal device according to an embodiment of the present application. Fig. 4 is a specific embodiment of fig. 3 in an implementation process. 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, videos, and so forth. The second memory 1202 may include a Random Access Memory (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: communication component 1203, power component 1204, multimedia component 1205, speech component 1206, input/output interfaces 1207, and/or sensor component 1208. The specific components included in the terminal device are set according to actual requirements, which is 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 of the data processing method described above. Further, the processing component 1200 can include one or more modules that facilitate interaction between the processing component 1200 and other components. For example, the processing component 1200 can 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. The power components 1204 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal device.
The multimedia components 1205 include 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 an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect 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 speech signal may further be stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the speech component 1206 further comprises a speaker for outputting speech signals.
The input/output interface 1207 provides an interface between the processing component 1200 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: a volume button, a start button, and a lock button.
The sensor component 1208 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor component 1208 may detect an open/closed state of the terminal device, relative positioning of the components, 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 without 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 communications 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 therein, so that the terminal device may log onto a GPRS network to establish communication with the server via the internet.
As can be seen from the above, the communication component 1203, the voice component 1206, the input/output interface 1207 and the sensor component 1208 referred to in the embodiment of fig. 4 can be implemented as the input device in the embodiment of fig. 3.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (16)
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 increased, determining a house associated with the suspected newly increased 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.
2. The community management method according to claim 1, wherein the house type includes real house, empty house, suspected empty house; if no personnel are registered in the house or all registered personnel are moved out, the house is an empty house; if the house has personnel registration, but all the registered personnel are suspected to leave, the house is suspected to be empty; the number of the real houses is equal to the number of all houses in the community management area, namely, empty houses, and suspected empty houses.
3. The community management method according to claim 2, wherein when determining the house associated with the suspected new target object, the house associated with the suspected new target object is determined according to a motion trajectory of the suspected new target object.
4. The community management method according to claim 3, wherein the motion trajectory of the suspected new added target object is generated according to the time and the location of the suspected new added target object.
5. The community management method according to claim 1, wherein the status of the premises associated with the target object suspected of leaving comprises suspected rental.
6. The community management method according to claim 1, wherein the associated characteristic information includes: face feature information, human body feature information and feature information with identity identification marks.
7. 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 rules of the target object being detected.
8. The community management method according to claim 7, wherein if the number of times that the target object is detected by the detection device within the first set time period is greater than the set number of times but the target object cannot be detected in the management repository, 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 is not detected by the detection device within a second set time period, the behavior characteristic information of the target object in the community management area is suspected to leave.
9. A community management apparatus, comprising:
the associated characteristic information acquisition module is used for acquiring the associated characteristic information of the target object;
a behavior feature information obtaining module, configured to determine, through the associated feature information, behavior feature information of the target object in a community management area, where the behavior feature information includes a suspected new addition and a suspected departure;
the first house determining module is used for determining a house associated with the target object which is suspected to be newly added when the behavior characteristic information of the target object is suspected to be newly added;
the management strategy generation module is used for generating a corresponding management strategy according to the house type associated with the suspected newly added target object;
the second house determining module is used for determining a house related to the target object which is suspected to leave when the behavior characteristic information of the target object is suspected to leave;
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.
10. The community management apparatus according to claim 9, wherein the house type includes a real house, an empty house, a suspected empty house; if no personnel are registered in the house or all registered personnel are moved out, the house is an empty house; if the house has personnel registration, but all the registered personnel are suspected to leave, the house is suspected to be empty; the number of the real houses is equal to the number of all houses in the community management area, namely, empty houses, and suspected empty houses.
11. The community management apparatus according to claim 10, wherein when determining the house associated with the suspected new target object, the house associated with the suspected new target object is determined by a motion trajectory of the suspected new target object.
12. The community management apparatus according to claim 9, wherein the status of the premises associated with the target object suspected of leaving includes suspected rental.
13. The community management device according to claim 9, wherein the behavior feature information of the target object in the community management area is determined according to a frequency and a time rule of detecting the target object.
14. The community management apparatus according to claim 13, wherein if the number of times that the target object is detected by the detection device within the first set time period is greater than the set number of times but the target object cannot be detected in the management repository, the behavior feature information of the target object in the community management area is a suspected new addition; if a certain target object can be detected in the management library but is not detected by the detection device within a second set time period, the behavior characteristic information of the target object in the community management area is suspected to leave.
15. An electronic device, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method recited by one or more of claims 1-8.
16. One or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method recited by one or more of claims 1-8.
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