CN111491258B - Object type detection method and device - Google Patents
Object type detection method and device Download PDFInfo
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- CN111491258B CN111491258B CN202010225903.5A CN202010225903A CN111491258B CN 111491258 B CN111491258 B CN 111491258B CN 202010225903 A CN202010225903 A CN 202010225903A CN 111491258 B CN111491258 B CN 111491258B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/60—Context-dependent security
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application relates to a method and a device for detecting object types, wherein the method comprises the following steps: detecting a target wireless network signal entering a monitoring range of target routing equipment, wherein the target routing equipment is deployed in a target scene, and the monitoring range is larger than the range of the target scene; determining a target object type corresponding to a target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model by using a wireless network signal marked with the object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment; and sending the target equipment and the target object type with the corresponding relation to the terminal equipment bound by the target scene. The application solves the technical problem that the security protection range of security protection equipment is smaller in the related technology.
Description
Technical Field
The present application relates to the field of computers, and in particular, to a method and an apparatus for detecting an object type.
Background
At present, a common household safety solution is mainly that a home control center is combined with a high-definition camera deployed at the edge of a house to shoot videos to detect suspicious behaviors and send an alarm to family members. The prior art scheme can only detect people entering the range of the camera, and the shooting range of the camera is limited, so that the detection range is limited, and the detection efficiency is low.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The application provides a method and a device for detecting object types, which are used for at least solving the technical problem that the security range of security equipment in the related technology is small.
According to an aspect of an embodiment of the present application, there is provided a method for detecting an object type, including:
detecting a target wireless network signal entering within a listening range of a target routing device, wherein the target routing device is deployed in a target scene;
determining a target object type corresponding to the target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model by using a wireless network signal marked with an object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment;
and sending the target equipment and the target object type with the corresponding relation to the terminal equipment bound by the target scene.
According to another aspect of the embodiments of the present application, there is also provided an apparatus for detecting an object type, including:
the system comprises a first detection module, a second detection module and a third detection module, wherein the first detection module is used for detecting a target wireless network signal entering a monitoring range of a target routing device, and the target routing device is deployed in a target scene;
the first determining module is used for determining a target object type corresponding to the target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model by using a wireless network signal with an object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment;
a first sending module, configured to send the target device and the target object type that have a corresponding relationship to a terminal device bound to the target scene.
Optionally, the first sending module comprises:
a recording unit, configured to record the target device and the target object type having a corresponding relationship in a device list;
a first receiving unit, configured to receive query information sent by the terminal device;
and the first sending unit is used for responding to the inquiry information and sending the equipment list to the terminal equipment.
Optionally, the first sending module comprises:
a determining unit, configured to determine whether the target object type satisfies a first type condition, where the first type condition is used to indicate an object type that is not allowed to enter the listening range;
and a second sending unit, configured to send first prompt information to a terminal device bound by the target scene when it is determined that the target object type meets the first type condition, where the first prompt information is used to prompt that the target device corresponding to the target object type has entered the listening range.
Optionally, the first determining module includes:
the extraction unit is used for extracting the target signal characteristics of the target wireless network signals through the target signal detection model;
and the classification unit is used for classifying the target signal characteristics through the target signal detection model to obtain the target object type.
Optionally, the classification unit is configured to:
inputting the target signal characteristics into a characteristic classification layer of the target signal detection model;
obtaining a matching degree corresponding to each object type in a plurality of object types output by the feature classification layer, wherein the matching degree is used for indicating the probability that the target signal feature belongs to each object type;
and determining the object type with the highest matching degree in the plurality of object types as the target object type.
Optionally, the apparatus further comprises:
the second detection module is used for detecting a wireless network signal sample transmitted by the terminal device at a target position in the interception range before the target object type corresponding to the target wireless network signal is determined through a target signal detection model;
and the acquisition module is used for acquiring the target signal detection model according to the wireless network signal sample and the target position which have corresponding relations, the first equipment information of the target routing equipment, the second equipment information of the terminal equipment and the wireless network signal marked with the object type.
Optionally, the obtaining module includes:
a third sending unit, configured to send the wireless network signal sample and the target location having a corresponding relationship, and the first device information and the second device information to a server, where the server is configured to train the initial signal detection model using the wireless network signal sample and the target location having a corresponding relationship, the first device information, the second device information, and the wireless network signal labeled with the object type to obtain a target model parameter of the target signal detection model;
the second receiving unit is used for receiving the target model parameters returned by the server;
and the updating unit is used for updating the prestored model parameters of the initial signal detection model into the target model parameters to obtain the target signal detection model.
Optionally, the apparatus further comprises:
a receiving module, configured to receive object type confirmation information returned by the terminal device after sending the target device and the target object type that have a correspondence relationship to the terminal device bound to the target scene, where the object type confirmation information is used to confirm an object type corresponding to the target device;
a first recording module, configured to record, when the object type confirmation information is used to indicate that it is confirmed that the target device corresponds to the target object type, the target device and the target object type that have a correspondence relationship;
and a second recording module, configured to, when the object type confirmation information is used to indicate that the target device does not belong to the target object type, obtain an updated object type from the object type confirmation information, and record the target device and the updated object type having a corresponding relationship.
Optionally, the apparatus further comprises:
a second determining module, configured to determine, after determining, by a target signal detection model, a target object type corresponding to the target wireless network signal, and when it is detected that the target device enters the target scene, determine whether the target object type meets a second type condition, where the second type condition is used to indicate an object type that is not allowed to enter the target scene;
and a second sending module, configured to send second prompt information to the terminal device when it is determined that the target object type meets the second type condition, where the second prompt information is used to prompt that the target device has entered the target scene.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program which, when executed, performs the above-described method.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the above method through the computer program.
In the embodiment of the application, a target wireless network signal entering a monitoring range of target routing equipment is detected, wherein the target routing equipment is deployed in a target scene, and the monitoring range is larger than the range of the target scene; determining a target object type corresponding to a target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model by using a wireless network signal marked with the object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment; a mode of sending the target device and the target object type with the corresponding relation to the terminal device bound by the target scene, the security detection of the target scene is carried out through the routing equipment deployed in the target scene, the security detection range is expanded to the monitoring range of the routing equipment, by detecting the target wireless network signals entering the interception range, the corresponding target object type is determined, thereby classifying the object to which the object carrying the target device transmitting the target wireless network signal belongs, and informs the classification result to the terminal device bound to the target scene, so as to achieve the purpose of security detection of the object entering the monitoring range of the target routing device, therefore, the technical effect of improving the security range of the security equipment is achieved, and the technical problem that the security range of the security equipment is smaller in the related technology is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic diagram of a hardware environment for a method of object type detection according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative method for detecting object types according to an embodiment of the present application;
fig. 3 is a schematic diagram of wireless network signal detection according to an embodiment of the present application;
FIG. 4 is a schematic diagram of activating a target routing device security function according to an embodiment of the application;
FIG. 5 is a schematic diagram of a target routing device home security process according to an alternative embodiment of the present application;
FIG. 6 is a schematic illustration of a process for detecting object types in accordance with an alternative embodiment of the present application;
FIG. 7 is a schematic diagram of an alternative object type detection apparatus according to an embodiment of the present application;
and
fig. 8 is a block diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of embodiments of the present application, there is provided an embodiment of a method for detection of an object type.
Alternatively, in the present embodiment, the object type detection method described above may be applied to a hardware environment formed by the terminal 101 and the server 103 as shown in fig. 1. As shown in fig. 1, a server 103 is connected to a terminal 101 through a network, which may be used to provide services (such as game services, application services, etc.) for the terminal or a client installed on the terminal, and a database may be provided on the server or separately from the server for providing data storage services for the server 103, and the network includes but is not limited to: the terminal 101 is not limited to a PC, a mobile phone, a tablet computer, and the like. The object type detection method in the embodiment of the present application may be executed by the server 103, the terminal 101, or both the server 103 and the terminal 101. The terminal 101 executing the object type detection method according to the embodiment of the present application may also be executed by a client installed thereon.
Fig. 2 is a flowchart of an alternative object type detection method according to an embodiment of the present application, and as shown in fig. 2, the method may include the following steps:
step S202, a target wireless network signal entering a monitoring range of a target routing device is detected, wherein the target routing device is deployed in a target scene;
step S204, determining a target object type corresponding to the target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model through a wireless network signal marked with an object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment;
step S206, the target device and the target object type with the corresponding relation are sent to the terminal device bound by the target scene.
Through the steps S202 to S206, the security detection of the target scene is performed by the routing device deployed in the target scene, the security detection range is expanded to the interception range of the routing device, the target wireless network signal entering the interception range is detected, and the type of the target object corresponding to the target wireless network signal is determined, so that the object to which the object carrying the target device that transmits the target wireless network signal belongs is classified, and the classification result is notified to the terminal device bound to the target scene, thereby achieving the purpose of performing the security detection on the object entering the interception range of the target routing device, achieving the technical effect of improving the security range of the security device, and further solving the technical problem that the security range of the security device in the related technology is small.
In the technical solution provided in step S202, the target scene is a scene for security protection, for example: homes, warehouses, stores, parking lots, and the like. The target routing equipment is deployed in a target scene, and the target routing equipment can provide a wireless network and simultaneously can perform security monitoring on the target scene. The interception range of the target routing device will generally be larger than the range of the target scenario.
Optionally, in this embodiment, the target wireless network signal may include, but is not limited to, a WIFI network signal, and the like. The target routing device may detect, but is not limited to, target wireless network signals within the listening range by way of a WIFI probe.
Fig. 3 is a schematic diagram of wireless network signal detection according to an embodiment of the present application, and as shown in fig. 3, when a WiFi device (e.g., a mobile phone with WiFi function) is in a listening range of a WiFi probe, the WiFi device sends any frame, regardless of to whom the frame is sent, the probe can intercept the frame, and analyzes some information of a MAC layer and a physical layer of the frame, such as MAC addresses, frame types, signal strengths, and the like of sending and receiving devices. The WiFi probe does not need any interaction with surrounding equipment, does not send any WiFi signal, and therefore non-perception MAC information acquisition is achieved. For devices that turn on WiFi capability, as shown in table 1, the target routing device may collect data through the WiFi probe, but not limited to MAC layer information.
TABLE 1
In the technical solution provided in step S204, the target signal detection model is obtained by training the initial signal detection model using a wireless network signal labeled with an object type, where the object type labeled with the wireless network signal may be determined according to an actual security scene, such as: for home security scenarios, object types may include, but are not limited to: home appliances, neighbors, courier, takeaway guy, property staff, strangers, etc., and description information of the respective object types is shown in table 2. For a security scene of a parking lot, the object types may include, but are not limited to: owner, visitor, security guard, suspect, etc. Parameters of wireless network signals may include, but are not limited to: the device MAC address, the WiFi signal strength, the reporting time period, the stay time length, the accumulated reporting time period number in the day and the like. The profile of each parameter is shown in table 3.
TABLE 2
TABLE 3
In the technical solution provided in step S206, the target device and the target object type having the corresponding relationship are sent to the terminal device bound to the target scene, and the terminal device may process the target device and the target object type having the corresponding relationship with the identity of the administrator, such as: labels, alarms, etc.
Such as: for a home security scenario, the terminal device may be, but is not limited to, a mobile phone or other smart device of the home owner. For the security scene of the parking lot, the terminal device may be but is not limited to a mobile phone or other intelligent devices of the person on duty in the parking lot, and the like.
As an optional embodiment, sending the target device and the target object type having a corresponding relationship to the terminal device bound to the target scene includes:
s11, recording the target device and the target object type with the corresponding relation in a device list;
s12, receiving the inquiry information sent by the terminal equipment;
and S13, responding to the query information and sending the equipment list to the terminal equipment.
Optionally, in this embodiment, the operation of sending the target device and the target object type having the corresponding relationship to the terminal device may be, but is not limited to, triggered by the terminal device, record the detected target device and the target object type having the corresponding relationship through the device list, and send the recorded device list to the terminal device after receiving query information for querying the device list sent by the terminal device.
As an optional embodiment, sending the target device and the target object type having a corresponding relationship to the terminal device bound to the target scene includes:
s21, determining whether the target object type meets a first type condition, wherein the first type condition is used for indicating that the object type which is not allowed to enter the interception range;
s22, sending, when it is determined that the target object type satisfies the first type condition, first prompt information to a terminal device bound to the target scene, where the first prompt information is used to prompt that the target device corresponding to the target object type has entered into the listening range.
Optionally, in this embodiment, some prompting policies may also be set to automatically push the detected target device and target object type, and the first type condition is set to indicate the object type that is not allowed to enter the listening range. Such as: a first type of condition may be, but is not limited to, not allowing a device whose object type is a stranger to enter a listening area.
Optionally, in this embodiment, the manner of sending the first prompt message may include, but is not limited to: security APP pushing, routing device management application pushing, short message pushing, instant messaging application pushing and the like.
As an optional embodiment, the determining, by the target signal detection model, the target object type corresponding to the target wireless network signal includes:
s31, extracting the target signal characteristics of the target wireless network signal through the target signal detection model;
and S32, classifying the target signal characteristics through the target signal detection model to obtain the target object type.
Optionally, in this embodiment, the target signal features may include, but are not limited to: signal strength, signal location, time of occurrence of the signal, frequency of occurrence of the signal, number of occurrences of the signal, and the like.
Optionally, in this embodiment, the target signal detection model may be, but is not limited to, a classification model, and the target signal characteristics of the target wireless network signal are classified by extracting the target signal characteristics in the target wireless network signal, so as to obtain the type of the target object.
As an optional embodiment, classifying the target signal features by the target signal detection model to obtain the target object type includes:
s41, inputting the target signal characteristics into a characteristic classification layer of the target signal detection model;
s42, obtaining a matching degree corresponding to each object type in the multiple object types output by the feature classification layer, where the matching degree is used to indicate a probability that the target signal feature belongs to each object type;
s43, determining the object type with the highest matching degree in the plurality of object types as the target object type.
Optionally, in this embodiment, the target signal detection model may include, but is not limited to, a feature extraction layer and a feature classification layer, inputting the target signal features extracted by the feature extraction layer into the feature classification layer may obtain a matching degree corresponding to each object type output by the feature classification layer, where the matching degree represents a probability that the target signal features belong to each object type, and a higher probability represents a higher probability that the target signal features belong to each object type, and an object type with a highest matching degree may be determined as the target object type.
As an optional embodiment, before determining, by the target signal detection model, a target object type corresponding to the target wireless network signal, the method further includes:
s51, detecting wireless network signal samples transmitted by the terminal device at the target position in the interception range;
and S52, acquiring the target signal detection model according to the wireless network signal sample and the target position with the corresponding relationship, the first device information of the target routing device, the second device information of the terminal device and the wireless network signal labeled with the object type.
Optionally, in this embodiment, the target signal detection model may be obtained by, but is not limited to, the following ways:
s61, sending the wireless network signal sample and the target location having a corresponding relationship, the first device information and the second device information to a server, where the server is configured to train the initial signal detection model using the wireless network signal sample and the target location having a corresponding relationship, the first device information, the second device information, and the wireless network signal labeled with the object type to obtain a target model parameter of the target signal detection model;
s62, receiving the target model parameters returned by the server;
and S63, updating the pre-stored model parameters of the initial signal detection model into the target model parameters to obtain the target signal detection model.
Optionally, in this embodiment, the training process of the model may be performed on a server (such as a big data platform), where an initial signal detection model, that is, an infrastructure of the model, is stored on the target routing device, the server trains the initial signal detection model using the received training data (the wireless network signal sample and the target location having a corresponding relationship, the first device information, the second device information, and the wireless network signal labeled with the object type) to obtain a target signal detection model, and sends target model parameters of the target signal detection model to the target routing device, so that the target routing device can obtain the target signal detection model by updating parameters of the initial signal detection model using the target model parameters.
Optionally, in this embodiment, the model training process on the server may include, but is not limited to: firstly, a wireless network signal is input into an initial signal detection model as input data, and an initial object type output by the initial signal detection model is obtained. And then, adjusting model parameters of the initial signal detection model according to the relationship between the initial object type and the object type labeled by the wireless network signal until the relationship between the initial object type and the object type labeled by the wireless network signal meets a preset condition (for example, the initial object type and the object type labeled by the wireless network signal are brought into a preset loss function to enable the preset loss function to be converged, and the like), so as to obtain a candidate signal detection model.
And inputting the wireless network signal sample, the first device information and the second device information as input data into the candidate signal detection model to obtain an initial object position output by the candidate signal detection model, and adjusting model parameters of the candidate signal detection model according to a relation between the initial object position and a target position corresponding to the wireless network signal sample until the relation between the initial object position and the target position corresponding to the wireless network signal sample meets a preset condition (for example, the initial object position and the target position are brought into a preset loss function to enable the preset loss function to be converged and the like), so as to obtain the target signal detection model.
Optionally, in this embodiment, the server may use the wireless network signal labeled with the object type to train the initial signal detection model in advance to obtain a trained model, and then use the data to adjust model parameters of the trained model after receiving the data, such as the wireless network signal sample and the target position, the first device information, and the second device information, which are sent by the target routing device and have a corresponding relationship, so that the obtained target signal detection model can conform to the target routing device and the environment where the target routing device is located.
Optionally, in this embodiment, the security function may be an additional function of the target routing device, and the user may actively install and complete activation after the target routing device completes networking, so as to start using the target routing device. Fig. 4 is a schematic diagram of activating a security function of a target routing device according to an embodiment of the present application, and as shown in fig. 4, an activation process may include, but is not limited to, the following three stages:
firstly, in a signal acquisition stage, after an App is installed, a user can respectively stay at the following target positions and acquire data according to the flow guidance:
A. the living room is not separated from the target routing equipment, and the distance does not exceed 3 meters;
B. bedroom, room door open state;
C. bedroom N, room door closed state;
D. the door is closed when the door is out;
E. the elevator door at the same floor is in a front door closing state;
F. in the elevator on the same floor, the front door and the elevator are both in a closed state;
G. upper and lower floors, and a front door closed state.
And each position stays for about 10 seconds, the target routing equipment actively collects data for 10 times, and after the collection of each position is completed, the user clicks the next step of the App to indicate that all the collections are completed.
In the modeling phase, the App sends all the collected data to a big data platform (i.e. a server), and the sent data comprise: and acquiring the model of the equipment, the MAC (namely second equipment information), the model of the target routing equipment, the MAC and the SSID (namely first equipment information), and all acquired signal data at the target position.
In the downloading stage of the model parameters, the big data platform calculates the model parameters (namely target model parameters) suitable for the family of the user through the summary analysis of all the data and synchronizes the model parameters to the target routing equipment, and then the platform does not acquire any data of the user and the target routing equipment any more, so that the family privacy of the user is protected to the maximum extent.
Optionally, in this embodiment, the process of calculating the model parameters by the big data platform may be, but is not limited to: the big data platform uses a wireless network signal marked with an object type to train an initial signal detection model in advance to obtain a candidate signal detection model, after receiving the data sent by the second terminal device, the big data platform uses the acquisition device model, the MAC, the target routing device model, the MAC, the SSID and all acquired signal data on a target position as input data to input the input data into the candidate signal detection model to obtain an initial object position output by the candidate signal detection model, and then model parameters of the candidate signal detection model are adjusted according to the relation between the initial object position and the target position until the relation between the initial object position and the target position meets a preset condition, so that model parameters suitable for a user family are obtained.
Optionally, in this embodiment, in an early stage, the collected sample parameters and the manual labeling result (i.e., the wireless network signal labeled with the object type) are imported into the big data platform, the initial signal detection model is trained in the background to obtain a candidate signal detection model, and the model parameters of the candidate signal detection model are used as the preliminary model parameters. In practical application, the candidate signal detection model is trained by means of the equipment information specified by the user and the acquired signal data in the data acquisition process to obtain a target signal detection model, and the model parameters of the target signal detection model are used as the standardized target model parameters and are issued to the routing equipment, so that the labeling error caused by equipment difference is avoided.
As an optional embodiment, after sending the target device and the target object type having a corresponding relationship to the terminal device bound to the target scene, the method further includes:
s71, receiving object type confirmation information returned by the terminal device, wherein the object type confirmation information is used for confirming the object type corresponding to the target device;
s72, recording the target device and the target object type having a corresponding relationship when the object type confirmation information is used to indicate that the target device is confirmed to correspond to the target object type;
s73, when the object type confirmation information is used to indicate that the target device does not belong to the target object type, obtaining an updated object type from the object type confirmation information, and recording the target device and the updated object type having a corresponding relationship.
Optionally, in this embodiment, the target device and the target object type that have a correspondence and are sent to the terminal device may be labeled by the terminal device, and the terminal device determines whether the target device corresponds to the target object type by sending object type confirmation information, if so, the target device and the target object type that have a correspondence are saved, and if not, the update object type labeled by the terminal device is obtained from the object type confirmation information, and the target device and the update object type that have a correspondence are saved.
As an optional embodiment, after determining, by the target signal detection model, a target object type corresponding to the target wireless network signal, the method further includes:
s81, in the case that the target device is detected to enter the target scene, determining whether the target object type meets a second type condition, wherein the second type condition is used for indicating an object type which is not allowed to enter the target scene;
and S82, sending second prompt information to the terminal device under the condition that the target object type is determined to meet the second type condition, wherein the second prompt information is used for prompting that the target device enters the target scene.
Optionally, in this embodiment, in order to further increase the security of the target scene, a second type condition for indicating a type of an object that is not allowed to enter the target scene may be set. And if the target equipment meeting the second type condition is detected, directly sending second prompt information to the terminal equipment to prompt that the target equipment enters the target scene.
Optionally, in this embodiment, the manner of sending the second prompt message may include, but is not limited to: security APP pushing, routing device management application pushing, short message pushing, instant messaging application pushing and the like.
The application also provides an optional embodiment, which takes the target routing equipment as a control core, collects the MAC and wireless network signal information of all equipment with WiFi function opened in the interception range of the target routing equipment through the WiFi probe technology of IEEE802.11 protocol set, extracts the characteristics of stay duration, appearance time period and the like, and reports the stay duration, the appearance time period and the like to the control center of the target routing equipment for analysis. Family members can be connected to the target routing equipment through the mobile phone App to check results, label the equipment and customize the early warning strategy.
In the optional embodiment, with the help of a WiFi probe of a home-use routing device, regularly and silently scanning devices having a WiFi function and turning on WiFi around a target routing device, with the help of an analysis model issued by a big data platform, completing a parameter entering and calculating process at the target routing device, feeding back a result to a management App on the mobile phone side of a user in real time, and simultaneously supporting the user to perform operations such as labeling, early warning threshold setting, parameter adjustment and the like.
In this optional embodiment, fig. 5 is a schematic diagram of a home security process of a target routing device according to an optional embodiment of the present application, and as shown in fig. 5, in a home security scenario, daily detection is performed by the target routing device, and after detecting an unfamiliar signal, the target routing device continues to track, triggers model analysis, and stores an analysis result in a local database in real time. The owner can view the situation at any time through the cell phone App and can set an early warning rule for strange devices (such as device c) whose model suggests high concern. After triggering, the target routing device can be automatically pushed by the mobile phone App, and can also inform the owner by a mobile phone short message. When the host checks the real-time state of the surrounding equipment, if the equipment with high distrust is found, the host can inform patrol security to inquire before, and when the equipment with the distrust list is marked for the second time, the host can be advised to alarm immediately.
The owner of the family scene can also label the newly added equipment in the interception range through the mobile phone App, and meanwhile, the model in the target routing equipment can also provide some automatic labeling strategies to help the owner to distinguish the identity of the holder of the strange equipment, such as: and 4, patrolling security guards for express/take-away brothers, neighbors and floors and the like. In addition, large data platforms will continuously enrich the model, periodically synchronize model parameters to the target routing device.
Fig. 6 is a schematic diagram of a process of detecting an object type according to an alternative embodiment of the present application, and as shown in fig. 6, the process may include, but is not limited to, the following steps:
step 1, the intelligent router collects wireless network signal samples on a target position through management APP.
And 2, the management APP reports the collected wireless network signal samples, the equipment information, the routing equipment information and the like on the target position to the big data platform.
And 3, training the model by the big data platform to obtain model parameters, and issuing the model parameters to the intelligent router.
And 4, the intelligent router detects wireless network signals such as probe and the like sent by the WiFi equipment, and performs data analysis on the wireless network signals by using the model to obtain the type of the target object corresponding to the WiFi equipment.
And 5, the intelligent router provides a viewing or management function for the management APP.
And 6, the management APP performs corresponding decision processing on the WiFi equipment with the detected target object type.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
According to another aspect of the embodiments of the present application, there is also provided an apparatus for detecting an object type, which is used for implementing the method for detecting an object type. Fig. 7 is a schematic diagram of an alternative object type detection apparatus according to an embodiment of the present application, and as shown in fig. 7, the apparatus may include:
a first detection module 72, configured to detect a target wireless network signal entering a listening range of a target routing device, where the target routing device is deployed in a target scenario;
a first determining module 74, configured to determine, by using a target signal detection model, a target object type corresponding to the target wireless network signal, where the target signal detection model is obtained by training an initial signal detection model using a wireless network signal labeled with an object type, and the target object type is used to indicate a tag corresponding to an object carrying target equipment;
a first sending module 76, configured to send the target device and the target object type with a corresponding relationship to the terminal device bound to the target scene.
It should be noted that the first detecting module 72 in this embodiment may be configured to execute step S202 in this embodiment, the first determining module 74 in this embodiment may be configured to execute step S204 in this embodiment, and the first sending module 76 in this embodiment may be configured to execute step S206 in this embodiment.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as part of the apparatus may operate in a hardware environment as shown in fig. 1, and may be implemented by software or hardware.
Through the module, the security protection detection is carried out on the target scene through the routing equipment deployed in the target scene, the security protection detection range is expanded to the interception range of the routing equipment, the target wireless network signal entering the interception range is detected, the corresponding target object type is determined, so that the object carrying the target equipment transmitting the target wireless network signal belongs to the object is classified, the classification result is notified to the terminal equipment bound to the target scene, the purpose of security protection detection on the object entering the interception range of the target routing equipment is achieved, the technical effect of improving the security protection range of the security protection equipment is achieved, and the technical problem that the security protection range of the security protection equipment in the related technology is small is solved.
As an alternative embodiment, the first sending module comprises:
a recording unit, configured to record the target device and the target object type having a corresponding relationship in a device list;
a first receiving unit, configured to receive query information sent by the terminal device;
and the first sending unit is used for responding to the inquiry information and sending the equipment list to the terminal equipment.
As an alternative embodiment, the first sending module comprises:
a determining unit, configured to determine whether the target object type satisfies a first type condition, where the first type condition is used to indicate an object type that is not allowed to enter the listening range;
and a second sending unit, configured to send first prompt information to a terminal device bound by the target scene when it is determined that the target object type meets the first type condition, where the first prompt information is used to prompt that the target device corresponding to the target object type has entered the listening range.
As an alternative embodiment, the first determining module includes:
the extraction unit is used for extracting the target signal characteristics of the target wireless network signals through the target signal detection model;
and the classification unit is used for classifying the target signal characteristics through the target signal detection model to obtain the target object type.
As an alternative embodiment, the classification unit is configured to:
inputting the target signal characteristics into a characteristic classification layer of the target signal detection model;
obtaining a matching degree corresponding to each object type in a plurality of object types output by the feature classification layer, wherein the matching degree is used for indicating the probability that the target signal feature belongs to each object type;
and determining the object type with the highest matching degree in the plurality of object types as the target object type.
As an alternative embodiment, the apparatus further comprises:
the second detection module is used for detecting a wireless network signal sample transmitted by the terminal equipment at a target position in the interception range before the target object type corresponding to the target wireless network signal is determined through a target signal detection model;
and the acquisition module is used for acquiring the target signal detection model according to the wireless network signal sample and the target position which have corresponding relations, the first device information of the target routing device, the second device information of the terminal device and the wireless network signal labeled with the object type.
As an optional embodiment, the obtaining module includes:
a third sending unit, configured to send the wireless network signal sample and the target location having a corresponding relationship, and the first device information and the second device information to a server, where the server is configured to train the initial signal detection model using the wireless network signal sample and the target location having a corresponding relationship, the first device information, the second device information, and the wireless network signal labeled with the object type to obtain a target model parameter of the target signal detection model;
the second receiving unit is used for receiving the target model parameters returned by the server;
and the updating unit is used for updating the prestored model parameters of the initial signal detection model into the target model parameters to obtain the target signal detection model.
As an alternative embodiment, the apparatus further comprises:
a receiving module, configured to receive object type confirmation information returned by a terminal device after sending the target device and the target object type that have a correspondence to a terminal device bound to the target scene, where the object type confirmation information is used to confirm an object type corresponding to the target device;
a first recording module, configured to record, when the object type confirmation information is used to indicate that the target device is confirmed to correspond to the target object type, the target device and the target object type that have a correspondence relationship;
and a second recording module, configured to, when the object type confirmation information is used to indicate that the target device does not belong to the target object type, obtain an updated object type from the object type confirmation information, and record the target device and the updated object type having a corresponding relationship.
As an alternative embodiment, the apparatus further comprises:
a second determining module, configured to determine, after determining, by a target signal detection model, a target object type corresponding to the target wireless network signal, and when it is detected that the target device enters the target scene, determine whether the target object type meets a second type condition, where the second type condition is used to indicate an object type that is not allowed to enter the target scene;
and a second sending module, configured to send second prompt information to the terminal device when it is determined that the target object type meets the second type condition, where the second prompt information is used to prompt that the target device has entered the target scene.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as part of the apparatus may run in a hardware environment as shown in fig. 1, may be implemented by software, and may also be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the embodiments of the present application, there is also provided a server or a terminal for implementing the method for detecting an object type.
Fig. 8 is a block diagram of a terminal according to an embodiment of the present application, and as shown in fig. 8, the terminal may include: one or more processors 801 (only one of which is shown), a memory 803, and a transmission means 805, as shown in fig. 8, the terminal may further include an input output device 807.
The memory 803 may be used to store software programs and modules, such as program instructions/modules corresponding to the object type detection method and apparatus in the embodiment of the present application, and the processor 801 executes various functional applications and data processing by running the software programs and modules stored in the memory 803, that is, implements the object type detection method described above. The memory 803 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 803 can further include memory located remotely from the processor 801, which can be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The above-mentioned transmission device 805 is used for receiving or sending data via a network, and may also be used for data transmission between a processor and a memory. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 805 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 805 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
Among them, the memory 803 is used to store an application program, in particular.
The processor 801 may call an application stored in the memory 803 via the transmission means 805 to perform the following steps:
s1, detecting a target wireless network signal entering a listening range of a target routing device, wherein the target routing device is deployed in a target scene;
s2, determining a target object type corresponding to the target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model through a wireless network signal marked with an object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment;
s3, sending the target device and the target object type with corresponding relation to the terminal device bound by the target scene.
By adopting the embodiment of the application, a scheme for detecting the object type is provided. The method comprises the steps of detecting security of a target scene through routing equipment deployed in the target scene, expanding a security detection range to a monitoring range of the routing equipment, detecting a target wireless network signal entering the monitoring range, determining a target object type corresponding to the target wireless network signal, classifying objects carrying the target equipment which transmits the target wireless network signal, and informing a classification result to terminal equipment bound to the target scene, so that the purpose of performing security detection on the objects entering the monitoring range of the target routing equipment is achieved, the technical effect of improving the security range of the security equipment is achieved, and the technical problem that the security range of the security equipment in the related technology is small is solved.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 8 is only an illustration, and the terminal may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a Mobile Internet Device (MID), a PAD, etc. Fig. 8 is a diagram illustrating a structure of the electronic device. For example, the terminal may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 8, or have a different configuration than shown in FIG. 8.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Embodiments of the present application also provide a storage medium. Alternatively, in this embodiment, the storage medium may be a program code for executing the method for detecting the object type.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
s1, detecting a target wireless network signal entering a listening range of a target routing device, wherein the target routing device is deployed in a target scene;
s2, determining a target object type corresponding to the target wireless network signal through a target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model through a wireless network signal with an object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment;
s3, sending the target device and the target object type with corresponding relation to the terminal device bound by the target scene.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
Optionally, in this embodiment, the storage medium may include but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (11)
1. The object type detection method is applied to a security scene and comprises the following steps:
detecting a target wireless network signal entering within a listening range of a target routing device, wherein the target routing device is deployed in a target scene; the target wireless network signal comprises an MAC address of target routing equipment, WiFi signal strength, a signal position, signal occurrence time, signal occurrence frequency and signal occurrence times;
inputting the target wireless network signal as input data into an initial signal detection model to obtain an initial object type output by the initial signal detection model;
performing parameter adjustment on the initial signal detection model according to the initial object type and the object type labeled by the wireless network signal to obtain a candidate signal detection model; detecting a wireless network signal sample transmitted by the terminal equipment at a target position in the interception range;
inputting the wireless network signal sample with the corresponding relation, the first equipment information of the target routing equipment and the second equipment information of the terminal equipment as input data into the candidate signal detection model to obtain an initial object position;
performing parameter adjustment on the candidate signal detection model according to the initial object position and the target position to obtain a target signal detection model;
determining a target object type corresponding to the target wireless network signal through the target signal detection model, wherein the target signal detection model is obtained by training an initial signal detection model by using a wireless network signal with an object type, and the target object type is used for indicating a label corresponding to an object carrying target equipment;
wherein the determining, by the target signal detection model, the target object type corresponding to the target wireless network signal includes: inputting the MAC address, WiFi signal strength, signal position, signal occurrence time, signal occurrence frequency and signal occurrence frequency of the target routing equipment into the target signal detection model to obtain a label corresponding to the target object type;
and sending the target equipment and the target object type with the corresponding relation to the terminal equipment bound by the target scene.
2. The method of claim 1, wherein sending the target device and the target object type having a correspondence relationship to a terminal device bound to the target scene comprises:
recording the target equipment and the target object type with the corresponding relation in an equipment list;
receiving query information sent by the terminal equipment;
and responding to the query information and sending the equipment list to the terminal equipment.
3. The method of claim 1, wherein sending the target device and the target object type having a correspondence relationship to a terminal device bound to the target scene comprises:
determining whether the target object type meets a first type condition, wherein the first type condition is used for indicating that the object type which is not allowed to enter the interception range is not allowed;
and sending first prompt information to the terminal equipment bound to the target scene under the condition that the target object type is determined to meet the first type condition, wherein the first prompt information is used for prompting that the target equipment corresponding to the target object type enters the interception range.
4. The method of claim 1, wherein determining the target object type corresponding to the target wireless network signal through a target signal detection model comprises:
extracting target signal characteristics of the target wireless network signals through the target signal detection model;
and classifying the target signal characteristics through the target signal detection model to obtain the type of the target object.
5. The method of claim 4, wherein classifying the target signal features by the target signal detection model to obtain the target object type comprises:
inputting the target signal features into a feature classification layer of the target signal detection model;
obtaining a matching degree corresponding to each object type in a plurality of object types output by the feature classification layer, wherein the matching degree is used for indicating the probability that the target signal feature belongs to each object type;
and determining the object type with the highest matching degree in the plurality of object types as the target object type.
6. The method of claim 1, wherein obtaining the target signal detection model according to the wireless network signal sample and the target location having a corresponding relationship, the first device information of the target routing device, the second device information of the terminal device, and the wireless network signal labeled with the object type comprises:
sending the wireless network signal sample and the target position with the corresponding relationship, and the first device information and the second device information to a server, wherein the server is used for training the initial signal detection model by using the wireless network signal sample and the target position with the corresponding relationship, the first device information, the second device information and the wireless network signal labeled with the object type to obtain a target model parameter of the target signal detection model;
receiving the target model parameters returned by the server;
and updating the pre-stored model parameters of the initial signal detection model into the target model parameters to obtain the target signal detection model.
7. The method of claim 1, wherein after sending the target device and the target object type having a corresponding relationship to a terminal device bound to the target scene, the method further comprises:
receiving object type confirmation information returned by the terminal equipment, wherein the object type confirmation information is used for confirming the object type corresponding to the target equipment;
recording the target equipment and the target object type with corresponding relation under the condition that the object type confirmation information is used for indicating that the target equipment is confirmed to correspond to the target object type;
and under the condition that the object type confirmation information is used for indicating that the target equipment does not belong to the target object type, acquiring an updated object type from the object type confirmation information, and recording the target equipment and the updated object type which have a corresponding relationship.
8. The method of claim 1, wherein after determining the target object type corresponding to the target wireless network signal through a target signal detection model, the method further comprises:
in the case that the target device is detected to enter the target scene, determining whether the target object type meets a second type condition, wherein the second type condition is used for indicating an object type which is not allowed to enter the target scene;
and sending second prompt information to the terminal equipment under the condition that the type of the target object is determined to meet the second type condition, wherein the second prompt information is used for prompting that the target equipment enters the target scene.
9. A detection device of an object type, applied to a security scene, comprising: the system comprises a first detection module, a second detection module and a third detection module, wherein the first detection module is used for detecting a target wireless network signal entering a monitoring range of a target routing device, and the target routing device is deployed in a target scene; the target wireless network signal comprises an MAC address of target routing equipment, WiFi signal strength, a signal position, signal occurrence time, signal occurrence frequency and signal occurrence times;
the device is also used for inputting the target wireless network signal as input data into an initial signal detection model to obtain an initial object type output by the initial signal detection model; performing parameter adjustment on the initial signal detection model according to the initial object type and the object type marked by the wireless network signal to obtain a candidate signal detection model; detecting a wireless network signal sample transmitted by the terminal equipment at a target position in the interception range; inputting the wireless network signal sample with the corresponding relation, the first equipment information of the target routing equipment and the second equipment information of the terminal equipment as input data into the candidate signal detection model to obtain an initial object position; performing parameter adjustment on the candidate signal detection model according to the initial object position and the target position to obtain a target signal detection model;
the device also includes: a first determining module, configured to determine, by using the target signal detection model, a target object type corresponding to the target wireless network signal, where the target signal detection model is obtained by training an initial signal detection model using a wireless network signal labeled with an object type, and the target object type is used to indicate a tag corresponding to an object carrying target equipment;
wherein the determining, by the target signal detection model, the target object type corresponding to the target wireless network signal includes: inputting the MAC address, WiFi signal strength, signal position, signal occurrence time, signal occurrence frequency and signal occurrence frequency of the target routing equipment into the target signal detection model to obtain a label corresponding to the target object type;
the device also includes: a first sending module, configured to send the target device and the target object type having a corresponding relationship to a terminal device bound to the target scene.
10. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program when executed performs the method of any of the preceding claims 1 to 8.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the method of any of the preceding claims 1 to 8 by means of the computer program.
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