A security management method and system for smart communities

Abstract

The present application discloses a security management method and system for a smart community. By applying the technical solution of the present application, when a stranger who is not a community user is detected entering the community entrance, it can be preliminarily determined whether the stranger is a suspicious user whose route has been checked in advance based on whether the interval between the stranger's arrival at the community entrance and the building entrance inside the community is too short. After the stranger is detected as a suspicious user and enters the building entrance, the voice playback device set at the entrance informs the stranger that it is forbidden to wear coverings such as clothes and hats that can cover his face inside the building, and the camera acquisition device set inside the building is started to collect the image of the stranger's facial area in real time, so that when it is detected that the user is still wearing coverings that can cover the face, it is determined that the user is a dangerous user and a corresponding alarm investigation event is generated.

Description

Technical Field

[0001] The present application relates to community security management technology, and in particular to a security management method and system applied to smart communities. Background Art

[0002] In the context of the new era, as people's living standards improve, they have put forward higher requirements for smart communities. Along with this, community users have also put forward higher requirements for the security management level of the communities where they live.

[0003] In the related art, many communities lack reasonable management methods in the process of security management of outsiders. Among them, some communities adopt the method of not letting outsiders in for security management, which is understandable and brings great inconvenience to normal visiting users. Other communities adopt the method of sending security personnel to follow outsiders all the time for security management, which requires huge labor costs.

[0004] Therefore, how to design a rational security management method for smart communities has become a problem that technical personnel in this field need to solve. Summary of the invention

[0005] The embodiment of the present application provides a security management method and system for smart communities, thereby solving the problem that the security management method of smart communities in the related art is not reasonable enough.

[0006] According to one aspect of the embodiments of the present application, a security management method for a smart community is provided, including:

[0007] When a stranger user is detected entering the smart community, a first entry time point of the stranger user at the entrance of the smart community is recorded, wherein the stranger user is a user who does not belong to the smart community;

[0008] When detecting that the stranger user enters a building, recording a second entry time point of the stranger user at the entrance of the building, wherein the building is a building inside the smart community;

[0009] When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through a voice playback device arranged at the entrance of the building, wherein the notification is used to inform the stranger that it is prohibited to wear a covering inside the building;

[0010] When it is detected that the unfamiliar user is still wearing the covering inside the building, an alarm investigation event indicating that the unfamiliar user is a dangerous user is generated.

[0011] Optionally, in another embodiment of the method of the present application, when detecting that a stranger user enters the smart community, recording the first entry time point of the stranger user at the entrance of the smart community includes:

[0012] When detecting that the stranger user enters the smart community, using a first image acquisition device disposed at the entrance of the smart community to acquire a facial image of the stranger user, and acquiring the first entry time point of the stranger user at the entrance of the smart community;

[0013] The facial image is associated with the first entry time point and recorded in a preset storage node.

[0014] Optionally, in another embodiment of the above method of the present application, after associating the facial image with the first entry time point and recording them in a preset storage node, the method further includes:

[0015] When it is detected that the user to be identified is located at the entrance of the building, a facial image of the user to be identified is captured by a second image capture device disposed at the entrance of the building;

[0016] Sending the facial image to be recognized to the preset storage node;

[0017] If it is detected that the facial image to be identified is consistent with the facial image, the time point at which the facial image to be identified is collected is used as the second entry time point.

[0018] Optionally, in another embodiment of the method of the present application, when it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, sending a notification to the unfamiliar user through a voice playback device provided at the building entrance includes:

[0019] Detecting the interval between the first entry time point and the second entry time point; and determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time taken by a normal stranger to travel from the community entrance to each building;

[0020] If it is detected that the interval duration is less than the standard arrival duration, the notification is sent to the unfamiliar user through the voice playback device arranged at the entrance of the building.

[0021] Optionally, in another embodiment of the method of the present application, determining the standard arrival time between the community entrance and the building entrance from a set of pre-recorded arrival times includes:

[0022] Using a first image acquisition device disposed at the entrance of the smart community, determining a passage mode for the unfamiliar user to enter the smart community;

[0023] The standard arrival time between the community entrance and the building entrance is determined from the arrival time set that matches the passage mode.

[0024] Optionally, in another embodiment of the above method of the present application, after sending the notification to the unfamiliar user through the voice playback device set at the entrance of the building, the method further includes:

[0025] Obtaining pre-recorded communication methods of the unknown user;

[0026] Based on the communication method, the notification is sent to the unfamiliar user.

[0027] Optionally, in another embodiment of the method of the present application, when it is detected that the stranger user is still wearing a covering inside the building, generating an alarm troubleshooting event that the stranger user is a dangerous user includes:

[0028] Using a third image acquisition device disposed inside the building, acquiring a facial image of the unfamiliar user in real time;

[0029] If it is detected based on the facial image that there is an obstruction on the face of the unfamiliar user, the alarm investigation event indicating that the unfamiliar user is a dangerous user is generated.

[0030] Optionally, in another embodiment of the above method of the present application, the obstruction includes: at least one of a mask, clothes, and sunglasses.

[0031] Optionally, in another embodiment of the method of the present application, the standard arrival time is determined based on the following formula:

[0032] T=g1[W aa a <0> +(W arx <1> +b a )];

[0033] Wherein, T represents the standard arrival time, g1 is the preset time adjustment gradient, and W aa a <0> is the preset maximum arrival time, (W arx <1> +b a ) is the time difference between the normal stranger user and the dangerous user arriving at the building.

[0034] According to another aspect of the embodiment of the present application, a security management system applied to a smart community is provided, including:

[0035] A first recording module is configured to record a first entry time point of the unfamiliar user at the entrance of the smart community when an unfamiliar user is detected to enter the smart community, wherein the unfamiliar user is a user who does not belong to the smart community;

[0036] A second recording module is configured to record a second entry time point of the unfamiliar user at the entrance of the building when detecting that the unfamiliar user enters the building, wherein the building is a building inside the smart community;

[0037] The detection module is configured to send a notification to the stranger through a voice playback device disposed at the entrance of the building when it is detected that the interval between the first entry time point and the second entry time point is less than a standard arrival time, wherein the notification is used to inform the stranger that it is prohibited to wear a covering inside the building;

[0038] The generating module is configured to generate an alarm checking event indicating that the unfamiliar user is a dangerous user when it is detected that the unfamiliar user is still wearing a covering inside the building.

[0039] According to another aspect of the embodiments of the present application, an electronic device is provided, including:

[0040] A memory for storing executable instructions; and

[0041] A display is used to execute the executable instructions with the memory to complete the operation of any of the above-mentioned security management methods applied to smart communities.

[0042] According to another aspect of an embodiment of the present application, a computer-readable storage medium is provided for storing computer-readable instructions, which, when executed, perform the operations of any of the above-mentioned security management methods applied to a smart community.

[0043] In the present application, when a stranger is detected entering a smart community, the first entry time point of the stranger at the entrance of the smart community is recorded, wherein the stranger is a user who does not belong to the smart community; when a stranger is detected entering a building, the second entry time point of the stranger at the entrance of the building is recorded, wherein the building is a building inside the smart community; when it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through a voice playback device set at the entrance of the building, and the notification is used to inform the stranger that it is prohibited to wear a cover inside the building; when it is detected that the stranger is still wearing a cover inside the building, an alarm investigation event is generated that the stranger is a dangerous user.

[0044] By applying the technical solution of the present application, when a stranger who is not a community user is detected entering the community entrance, it is possible to preliminarily determine whether the stranger is a suspicious user whose route has been checked in advance based on whether the interval between the stranger's arrival at the community entrance and the building entrance inside the community is too short. After the stranger is detected as a suspicious user and enters the building entrance, the voice playback device set at the entrance informs the stranger that it is forbidden to wear coverings such as clothes and hats that can cover his face inside the building, and the camera acquisition device set inside the building is activated to collect the image of the stranger's facial area in real time, so that when it is subsequently detected that the user is still wearing coverings that can cover the face, it is determined that the user is a dangerous user and a corresponding alarm investigation event is generated.

[0045] On the one hand, the technical solution of this application avoids the problem in the related art that all strangers who are not community users are not allowed to enter or are supervised by a dedicated person throughout the process, which is not a reasonable community safety management model. On the other hand, by combining the arrival time of the strangers and whether they comply with the instructions for wearing masks, a technical solution for determining the danger level of strangers in segments can be implemented, thereby avoiding the disadvantage of screening out users without malicious intent, which reduces the experience of normal visiting users.

[0046] The technical solution of the present application is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present application and, together with the description, serve to explain the principles of the present application.

[0048] The present application can be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0049] Figure 1 A schematic diagram of a security management method for a smart community proposed in this application;

[0050] Figure 2 An overall flow chart of a security management method for a smart community proposed in this application;

[0051] Figure 3 This is a schematic diagram of the structure of the security management system for smart communities proposed in this application;

[0052] Figure 4 This is a schematic diagram of the structure of the electronic device proposed in this application. DETAILED DESCRIPTION

[0053] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present application.

[0054] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0055] The following description of at least one exemplary embodiment is merely illustrative in nature and is not intended to limit the present application, its application, or uses.

[0056] Technologies, systems, and devices known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, systems, and devices should be considered part of the specification.

[0057] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0058] In addition, the technical solutions between the various embodiments of the present application can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0059] It should be noted that all directional indications in the embodiments of the present application (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0060] Combine the following Figure 1-Figure 2To describe a security management method for a smart community according to an exemplary embodiment of the present application. It should be noted that the following application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the implementation of the present application is not limited in this regard. On the contrary, the implementation of the present application can be applied to any applicable scenario.

[0061] This application also proposes a security management method and system for smart communities.

[0062] Figure 1 The following schematically shows a flow chart of a security management method applied to a smart community according to an embodiment of the present application. Figure 1 As shown, including:

[0063] S101, when a strange user is detected entering the smart community, a first entry time point of the strange user at the entrance of the smart community is recorded, wherein the strange user is a user who does not belong to the smart community.

[0064] S102, when a stranger user is detected entering a building, a second entry time point of the stranger user at the building entrance is recorded, wherein the building is a building inside the smart community.

[0065] S103, when it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through a voice playback device set at the entrance of the building, and the notification is used to inform the stranger that it is prohibited to wear a covering inside the building.

[0066] S104: When it is detected that the stranger is still wearing a covering inside the building, an alarm check event is generated indicating that the stranger is a dangerous user.

[0067] In related technologies, with the improvement of urbanization, smart communities have become a feature and an important part of modern urban living circles. As an example, smart communities can include work communities and living communities, such as office buildings, industrial areas, residential areas, etc. The same feature is that there are many people gathered in the community, and the population density is high. This involves the issue of security management. How to improve the management of the community and ensure the safety of people in the community is very important.

[0068] Among them, many business platforms have effectively penetrated and integrated the Internet industry with community management through advanced technologies and concepts such as mobile Internet, cloud computing, big data, and the Internet of Things, resulting in some security management systems that use the Internet as a platform to build smart communities.

[0069] At present, the security management system of smart communities basically uses security personnel plus monitoring, gates and other security inspection and access measures to determine whether people who want to enter the community are users within the community.

[0070] In one method, if it is determined that the person who wants to enter the community is not a user in the community, the existing security management system usually adopts two management methods:

[0071] One is to prohibit all users who are not in the community from entering the community, which affects the visiting experience of normal visiting users. Another is to notify the community security personnel and have them follow the outsiders into the target building inside the community, which requires a huge labor cost. That is, during the peak period of visitor arrival, there will be a problem of long waiting time for visiting users due to insufficient security personnel.

[0072] Based on this, the present application proposes a security management method for smart communities, which can achieve a method of preliminarily determining whether a stranger who is not a community user enters the community entrance based on whether the interval between the stranger's arrival at the community entrance and the building entrance inside the community is too short to determine whether the stranger is a suspicious user whose route has been checked in advance. After the stranger is detected as a suspicious user and enters the building entrance, the voice playback device set at the entrance informs the stranger that it is forbidden to wear coverings such as clothes and hats that can cover his face inside the building, and the camera acquisition device set inside the building is started to collect the image of the stranger's facial area in real time, so that when the user is detected to still be wearing coverings that can cover the face, it is determined to be a dangerous user and a corresponding alarm investigation event is generated.

[0073] It can be understood that the technical solution of the present application avoids the unreasonable problem of the community safety management model in the related art that all strangers who are not community users are not allowed to pass or are supervised by a dedicated person throughout the process. On the other hand, by combining the arrival time of the strangers and whether they comply with the instructions for wearing masks, a technical solution for determining the danger level of strangers in segments can be implemented, thereby avoiding the disadvantage of reducing the experience of normal visiting users due to screening of users without malicious intent.

[0074] Further, this application is hereby incorporated by reference Figure 2 Describe the plan in detail:

[0075] Step 1: When a stranger user is detected entering the smart community, a first image acquisition device disposed at the entrance of the smart community is used to acquire a facial image of the stranger user, and the first entry time point of the stranger user at the entrance of the smart community is acquired.

[0076] In one embodiment, the unfamiliar user in this application is a user who does not belong to the smart community, that is, an outside user who enters the smart community for the first time or not for the first time.

[0077] In one approach, in order to avoid the problem of reducing the user experience caused by intercepting or checking normal visiting users, the application may not intercept or check any strangers' visits, but only collect the strangers' facial images and entry time at the entrance of the community.

[0078] Step 2: Associate the facial image with the first entry time point and record it in a preset storage node.

[0079] In one embodiment, the preset storage node may be a storage device such as a server associated with the smart community.

[0080] Step 3: When it is detected that the user to be identified is at the building entrance, a second image acquisition device arranged at the building entrance is used to acquire a facial image of the user to be identified, and the facial image to be identified is sent to a preset storage node.

[0081] Step 4: If it is detected that the facial image to be identified is consistent with the facial image, the time point when the facial image to be identified is collected is used as the second entry time point.

[0082] In one embodiment, when a user (i.e., the user to be identified) is detected at the entrance of a building, the application determines whether the user is a stranger by collecting his / her facial image (i.e., the facial image to be identified) and sending it to a preset storage node for comparison. If the two are consistent, the time point of collecting the facial image to be identified is used as the second entry time point.

[0083] Step 5: Detect the interval between the first entry time point and the second entry time point; and, using a first image acquisition device disposed at the entrance of the smart community, determine the passage mode for the unfamiliar user to enter the smart community.

[0084] In one method, for example, the first entry time point is 9:00 and the second entry time point is 9:03, then the application can calculate that the time it takes for the user to reach the destination building from the community entrance is 3 minutes.

[0085] Step 6: Determine the standard arrival time between the community entrance and the building entrance from the set of arrival times that match the travel mode.

[0086] The arrival time set records the time it takes for normal strangers to travel from the community entrance to each building.

[0087] It is understandable that if a normal stranger enters a community for the first time (or the first few times), due to unfamiliarity with the roads, it usually takes relatively more time for him to reach the destination building from the community gate.

[0088] Furthermore, if a malicious user wants to engage in dangerous activities (such as theft) within the community, he usually does not start the activity when he first enters the community. Instead, he needs to know the location of the target object in the community in advance and start the dangerous activity when he is familiar with the route (i.e., he needs to scout the area in advance).

[0089] Based on this, the present application can pre-obtain the time it takes for a normal stranger to travel from the community entrance to a certain building (i.e., the standard arrival time, for example, 5 minutes), and obtain the time it takes for the stranger to travel from the community entrance to the building this time (i.e., the interval time, for example, 3 minutes), and compare the two.

[0090] It is understandable that if the interval duration is determined to be less than the standard arrival time (and the difference between the two reaches a certain level), it can be indirectly determined that the unfamiliar user who is visiting this time may have frequently visited the destination building recently and is already familiar with the route from the community entrance to the destination building.

[0091] In one method, when obtaining the standard arrival time, the present application also needs to consider the stranger's mode of travel (i.e., determine whether he is walking or riding a bicycle, etc.), and select the corresponding standard arrival time from the arrival time set corresponding to the mode of travel.

[0092] Step 7: If it is detected that the interval time is less than the standard arrival time, a notification is sent to the unfamiliar user through a voice playback device set at the building entrance.

[0093] In one method, if the interval time is less than the standard arrival time, the smart device can indirectly determine that the unfamiliar user who is visiting this time is already familiar with the route from the community entrance to the destination building. Then, it can be preliminarily determined that the user is a suspicious user.

[0094] It is understandable that not all users who are familiar with the route from the community entrance to the destination building are dangerous users (for example, a user who does not belong to the smart community may have repeatedly visited a user he is familiar with in the community in the recent past).

[0095] Therefore, after determining that a stranger is a suspicious user, the present application does not immediately check the stranger, but broadcasts to the stranger through the voice playback device installed at the building entrance to inform the stranger that it is forbidden to wear masks, clothes, hats, sunglasses, etc. that can cover the face in any public area inside the building (such as the lobby, corridor, elevator, elevator room, etc.). In this way, the purpose of being able to clearly monitor the stranger at all times using the camera device is achieved.

[0096] Among them, the notification is used to inform unfamiliar users that it is prohibited to wear masks inside the building.

[0097] In one method, the present application can also obtain pre-recorded, communication methods of unfamiliar users;

[0098] Send notifications to strangers based on the communication method.

[0099] Among them, the communication method may include telephone communication, text message communication, etc.

[0100] Step 8: Using a third image acquisition device disposed inside the building, obtain the facial image of the unfamiliar user in real time.

[0101] In one embodiment, the third image acquisition device can be set in the lobby, corridor, elevator, elevator room and other locations of the building.

[0102] Step 9: If, based on the facial image, it is detected that there is an obstruction on the face of the stranger user, an alarm investigation event is generated that the stranger user is a dangerous user.

[0103] In one embodiment, the obstruction includes at least one of a mask, clothing, and sunglasses.

[0104] It is understandable that if a normal stranger receives the notification at the door of a building, since he has no malicious intent, he will certainly comply with the content of the notification, that is, he will no longer wear a mask that can cover his face inside the building.

[0105] Furthermore, for a malicious user, if he wants to engage in dangerous activities (such as theft) inside a building, he is very likely not to comply with the content of the notification, that is, he will still wear a mask that can cover his face inside the building (because malicious users tend not to show their faces when engaging in dangerous activities to avoid being traced afterwards).

[0106] Based on this, this application adopts a method that, when it is detected that a user has been informed not to cover his face in a building but still takes covering action, it will be determined that there is a possibility of engaging in dangerous activities, and then he can be identified as a potentially dangerous user, and by generating an alarm investigation event, the security center is notified to dispatch security personnel to investigate the user.

[0107] By applying the technical solution of the present application, when a stranger who is not a community user is detected entering the community entrance, it is possible to preliminarily determine whether the stranger is a suspicious user whose route has been checked in advance based on whether the interval between the stranger's arrival at the community entrance and the building entrance inside the community is too short. After the stranger is detected as a suspicious user and enters the building entrance, the voice playback device set at the entrance informs the stranger that it is forbidden to wear coverings such as clothes and hats that can cover his face inside the building, and the camera acquisition device set inside the building is activated to collect the image of the stranger's facial area in real time, so that when it is subsequently detected that the user is still wearing coverings that can cover the face, it is determined that the user is a dangerous user and a corresponding alarm investigation event is generated.

[0108] On the one hand, this avoids the unreasonable community safety management model in the related art, which is that all strangers who are not community users are not allowed to enter or are supervised by a dedicated person throughout the process. On the other hand, by combining the arrival time of the strangers and whether they comply with the mask wearing instructions, a technical solution for determining the danger level of strangers in sections can be implemented, thereby avoiding the disadvantage of screening out users without malicious intent, which reduces the experience of normal visiting users.

[0109] Optionally, in another embodiment of the method of the present application, when detecting that a stranger user enters the smart community, recording the first entry time point of the stranger user at the entrance of the smart community includes:

[0110] When detecting that the stranger user enters the smart community, using a first image acquisition device disposed at the entrance of the smart community to acquire a facial image of the stranger user, and acquiring the first entry time point of the stranger user at the entrance of the smart community;

[0111] The facial image is associated with the first entry time point and recorded in a preset storage node.

[0112] Optionally, in another embodiment of the above method of the present application, after associating the facial image with the first entry time point and recording them in a preset storage node, the method further includes:

[0113] When it is detected that the user to be identified is located at the entrance of the building, a facial image of the user to be identified is captured by a second image capture device disposed at the entrance of the building;

[0114] Sending the facial image to be recognized to the preset storage node;

[0115] If it is detected that the facial image to be identified is consistent with the facial image, the time point at which the facial image to be identified is collected is used as the second entry time point.

[0116] Optionally, in another embodiment of the method of the present application, when it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, sending a notification to the unfamiliar user through a voice playback device provided at the building entrance includes:

[0117] Detecting the interval between the first entry time point and the second entry time point; and determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time taken by a normal stranger to travel from the community entrance to each building;

[0118] If it is detected that the interval duration is less than the standard arrival duration, the notification is sent to the unfamiliar user through the voice playback device arranged at the entrance of the building.

[0119] Optionally, in another embodiment of the method of the present application, determining the standard arrival time between the community entrance and the building entrance from a set of pre-recorded arrival times includes:

[0120] Using a first image acquisition device disposed at the entrance of the smart community, determining a passage mode for the unfamiliar user to enter the smart community;

[0121] The standard arrival time between the community entrance and the building entrance is determined from the arrival time set that matches the passage mode.

[0122] Optionally, in another embodiment of the above method of the present application, after sending the notification to the unfamiliar user through the voice playback device set at the entrance of the building, the method further includes:

[0123] Obtaining pre-recorded communication methods of the unknown user;

[0124] Based on the communication method, the notification is sent to the unfamiliar user.

[0125] Optionally, in another embodiment of the method of the present application, when it is detected that the stranger user is still wearing a covering inside the building, generating an alarm troubleshooting event that the stranger user is a dangerous user includes:

[0126] Using a third image acquisition device disposed inside the building, acquiring a facial image of the unfamiliar user in real time;

[0127] If it is detected based on the facial image that there is an obstruction on the face of the unfamiliar user, the alarm investigation event indicating that the unfamiliar user is a dangerous user is generated.

[0128] Optionally, in another embodiment of the method according to the present application, the obstruction includes at least one of a mask, clothes, and sunglasses.

[0129] Optionally, in another embodiment of the method of the present application, the standard arrival time is determined based on the following formula:

[0130] T=g1[W aa a <0> +(W arx <1> +b a )];

[0131] Wherein, T represents the standard arrival time, g1 is the preset time adjustment gradient, and W aa a <0> is the preset maximum arrival time, (W arx <1> +b a ) is the time difference between the normal stranger user and the dangerous user arriving at the building.

[0132] Optionally, in another embodiment of the present application, Figure 3 As shown, the present application also provides a security management system applied to a smart community. It includes:

[0133] A first recording module is configured to record a first entry time point of the unfamiliar user at the entrance of the smart community when an unfamiliar user is detected to enter the smart community, wherein the unfamiliar user is a user who does not belong to the smart community;

[0134] A second recording module is configured to record a second entry time point of the unfamiliar user at the entrance of the building when detecting that the unfamiliar user enters the building, wherein the building is a building inside the smart community;

[0135] The detection module is configured to send a notification to the stranger through a voice playback device disposed at the entrance of the building when it is detected that the interval between the first entry time point and the second entry time point is less than a standard arrival time, wherein the notification is used to inform the stranger that it is prohibited to wear a covering inside the building;

[0136] The generating module is configured to generate an alarm checking event indicating that the unfamiliar user is a dangerous user when it is detected that the unfamiliar user is still wearing a covering inside the building.

[0137] By applying the technical solution of the present application, when a stranger who is not a community user is detected entering the community entrance, it is possible to preliminarily determine whether the stranger is a suspicious user whose route has been checked in advance based on whether the interval between the stranger's arrival at the community entrance and the building entrance inside the community is too short. After the stranger is detected as a suspicious user and enters the building entrance, the voice playback device set at the entrance informs the stranger that it is forbidden to wear coverings such as clothes and hats that can cover his face inside the building, and the camera acquisition device set inside the building is activated to collect the image of the stranger's facial area in real time, so that when it is subsequently detected that the user is still wearing coverings that can cover the face, it is determined that the user is a dangerous user and a corresponding alarm investigation event is generated.

[0138] The present application also provides an electronic device to implement the above-mentioned security management method for smart communities. Figure 4 , which shows a schematic diagram of an electronic device provided by some embodiments of the present application. Figure 4 As shown, the electronic device 3 includes: a processor 300, a memory 301, a bus 302 and a communication interface 303, and the processor 300, the communication interface 303 and the memory 301 are connected via the bus 302; the memory 301 stores a computer program that can be run on the processor 300, and when the processor 300 runs the computer program, it executes the security management method applied to the smart community provided by any of the aforementioned embodiments of the present application.

[0139] The memory 301 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the device network element and at least one other network element is realized through at least one communication interface 303 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0140] The bus 302 may be an ITA bus, a PCI bus, or an EITA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 301 is used to store programs, and the processor 300 executes the programs after receiving the execution instruction. The video transmission method disclosed in any implementation of the above-mentioned embodiment of the present application may be applied to the processor 300, or implemented by the processor 300.

[0141] The processor 300 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 300. The above processor 300 can be a general-purpose processor, including a processor (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; it can also be a digital signal processor (DTP), an application-specific integrated circuit (ATIC), a readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or the hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 301, and the processor 300 reads the information in the memory 301 and completes the steps of the above method in combination with its hardware.

[0142] The electronic device provided in the embodiment of the present application and the security management method applied to the smart community provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, operated or implemented therein.

[0143] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A security management method applied to a smart community, characterized in that: include: When a stranger user is detected entering the smart community, a first entry time point of the stranger user at the entrance of the smart community is recorded, wherein the stranger user is a user who does not belong to the smart community; When detecting that the stranger user enters the building, recording a second entry time point of the stranger user at the building entrance, wherein the building is a building inside the smart community; When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time, a notification is sent to the stranger through a voice playback device arranged at the entrance of the building, wherein the notification is used to inform the stranger that it is prohibited to wear a covering inside the building; When it is detected that the unfamiliar user is still wearing the covering inside the building, an alarm investigation event indicating that the unfamiliar user is a dangerous user is generated.

2. The method according to claim 1, characterized in that When detecting that a stranger user enters the smart community, recording the first entry time point of the stranger user at the entrance of the smart community includes: When detecting that the stranger user enters the smart community, using a first image acquisition device disposed at the entrance of the smart community to acquire a facial image of the stranger user, and acquiring the first entry time point of the stranger user at the entrance of the smart community; The facial image is associated with the first entry time point and recorded in a preset storage node.

3. The method according to claim 2, characterized in that After associating the facial image with the first entry time point and recording them in a preset storage node, the method further includes: When it is detected that the user to be identified is located at the entrance of the building, a facial image of the user to be identified is captured by a second image capture device disposed at the entrance of the building; Sending the facial image to be recognized to the preset storage node; If it is detected that the facial image to be identified is consistent with the facial image, the time point at which the facial image to be identified is collected is used as the second entry time point.

4. The method according to claim 1, characterized in that When it is detected that the interval between the first entry time point and the second entry time point is less than the standard arrival time point, sending a notification to the unfamiliar user through a voice playback device disposed at the building entrance includes: Detecting the interval between the first entry time point and the second entry time point; and determining the standard arrival time between the community entrance and the building entrance from a pre-recorded arrival time set, wherein the arrival time set records the time taken by a normal stranger to travel from the community entrance to each building; If it is detected that the interval duration is less than the standard arrival duration, the notification is sent to the unfamiliar user through the voice playback device arranged at the entrance of the building.

5. The method according to claim 4, characterized in that The step of determining the standard arrival time between the community entrance and the building entrance from a set of pre-recorded arrival times includes: Using a first image acquisition device disposed at the entrance of the smart community, determining a passage mode for the unfamiliar user to enter the smart community; The standard arrival time between the community entrance and the building entrance is determined from the arrival time set that matches the passage mode.

6. The method according to claim 1, characterized in that After sending the notification to the unfamiliar user through the voice playback device disposed at the entrance of the building, the method further includes: Obtaining pre-recorded communication methods of the unknown user; Based on the communication method, the notification is sent to the unfamiliar user.

7. The method according to claim 1, characterized in that When it is detected that the stranger user is still wearing the covering inside the building, generating an alarm investigation event indicating that the stranger user is a dangerous user, includes: Using a third image acquisition device disposed inside the building, acquiring a facial image of the unfamiliar user in real time; If it is detected based on the facial image that there is an obstruction on the face of the unfamiliar user, the alarm investigation event indicating that the unfamiliar user is a dangerous user is generated.

8. The method according to claim 1 or 7, characterized in that The obstruction includes at least one of a mask, clothes, and sunglasses.

9. The method according to claim 1, characterized in that The standard arrival time is determined based on the following formula: T=g1[W aa a <0> +(W arx <1> +b a )]; Wherein, T represents the standard arrival time, g1 is the preset time adjustment gradient, and W aa a <0> is the preset maximum arrival time, (W arx <1> +b a ) is the time difference between a normal stranger user and a dangerous user arriving at the building.

10. A security management system applied to a smart community, characterized in that: include: A first recording module is configured to record a first entry time point of the unfamiliar user at the entrance of the smart community when an unfamiliar user is detected to enter the smart community, wherein the unfamiliar user is a user who does not belong to the smart community; A second recording module is configured to record a second entry time point of the unfamiliar user at the building entrance when detecting that the unfamiliar user enters the building, wherein the building is a building inside the smart community; The detection module is configured to send a notification to the stranger through a voice playback device disposed at the entrance of the building when it is detected that the interval between the first entry time point and the second entry time point is less than a standard arrival time, wherein the notification is used to inform the stranger that it is prohibited to wear a covering inside the building; The generating module is configured to generate an alarm checking event indicating that the unfamiliar user is a dangerous user when it is detected that the unfamiliar user is still wearing a covering inside the building.

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