CN115359589B - Control method and device of intelligent door lock, electronic device and storage medium - Google Patents
Control method and device of intelligent door lock, electronic device and storage medium Download PDFInfo
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
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Abstract
The application relates to a control method, a device, an electronic device and a storage medium of an intelligent door lock, wherein the method comprises the following steps: acquiring a real-time face image corresponding to a target user expected to unlock the intelligent door lock, and acquiring a head posture angle corresponding to the target user, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image; detecting a face image associated with a head gesture angle corresponding to a target user currently in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and a head gesture angle corresponding to each face image; and comparing the target face image with the real-time face image, and controlling the intelligent door lock based on an instruction generated according to the comparison result. The application solves the problem of slow unlocking speed caused by limited computing capacity and large computing data quantity of the intelligent door lock processor in the related technology.
Description
Technical Field
The present application relates to the field of control technologies of intelligent door locks, and in particular, to a control method and apparatus for an intelligent door lock, an electronic device, and a storage medium.
Background
In the related art, with the continuous development of the intelligent door lock technology, more families have used intelligent door locks. While the safety of the intelligent door lock is continuously improved, the user experience of the intelligent door lock is also continuously optimized and improved.
In the related art, when a door lock with 3D face recognition performs face recognition, the face data of multiple angles of a user are input in advance before the face recognition of the user, so that the success rate of unlocking the 3D face recognition is improved; however, due to limited computing power of the intelligent door lock processor and large data volume of 3D face recognition data processing, the problem of low unlocking speed of the intelligent door lock and poor user experience can be caused.
Aiming at the problem of slow unlocking speed caused by limited computing capacity and large computing data quantity of an intelligent door lock processor in the related art, no effective solution exists yet.
Disclosure of Invention
The application provides a control method, a device, an electronic device and a storage medium of an intelligent door lock, which at least solve the problem of low unlocking speed caused by limited computing capacity and large computing data volume of an intelligent door lock processor in the related technology.
In a first aspect, the present application provides a control method for an intelligent door lock, including: acquiring a real-time face image corresponding to a target user which expects to unlock an intelligent door lock, and acquiring a head posture angle corresponding to the target user, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image; detecting a face image associated with a head posture angle corresponding to the current target user in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and one head posture angle corresponding to each face image; and comparing the target face image with the real-time face image, and controlling the intelligent door lock based on an instruction generated according to a comparison result.
In a second aspect, the present application provides a control device for an intelligent door lock, including:
the acquisition module is used for acquiring a real-time face image corresponding to a target user which expects to unlock the intelligent door lock currently, and acquiring a head posture angle corresponding to the target user currently, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image;
the detection module is used for detecting a face image associated with a head gesture angle corresponding to the current target user in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and one head gesture angle corresponding to each face image;
and the processing module is used for comparing the target face image with the real-time face image and controlling the intelligent door lock based on an instruction generated according to a comparison result.
In a third aspect, the present application provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
A memory for storing a computer program;
and the processor is used for realizing the steps of the control method of the intelligent door lock according to any one of the embodiments of the first aspect when executing the program stored in the memory.
In a fourth aspect, a computer readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the method for controlling a smart door lock according to any one of the embodiments of the first aspect.
Compared with the related art, the embodiment provides a control method, a device, an electronic device and a storage medium of an intelligent door lock, wherein the control method, the device, the electronic device and the storage medium are used for acquiring a real-time face image corresponding to a target user expected to unlock the intelligent door lock currently and acquiring a head posture angle corresponding to the target user currently, and the head posture angle is used for representing a user face angle corresponding to the real-time face image; detecting a face image associated with a head posture angle currently corresponding to a target user in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and one head posture angle corresponding to each face image; the target face image is compared with the real-time face image, the intelligent door lock is controlled based on an instruction generated according to a comparison result, the problem that unlocking speed is low due to limited computing capacity and large computing data volume of an intelligent door lock processor in the related art is solved, the pre-stored target face image is quickly searched based on the head gesture angle of the face image corresponding to the acquired target user, the computing times of computing the acquired real-time face data and the pre-stored target face image in the intelligent door lock face recognition process are reduced, the unlocking speed of the intelligent door lock is improved, and the user experience is improved.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the other features, objects, and advantages of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic flow chart of a control method of an intelligent door lock according to an embodiment of the present application;
fig. 2 is a flowchart of a control method of an intelligent door lock according to a preferred embodiment of the present application;
FIG. 3 is a schematic view of a three-axis gyroscope for acquiring a head attitude angle in a preferred embodiment of the present application;
FIG. 4 is a schematic diagram of an unlocking face entry simulation in a preferred embodiment of the present application;
fig. 5 is a block diagram of a control device of an intelligent door lock according to an embodiment of the present application;
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The various techniques described in this disclosure may be used for detection, setting, and automatic adjustment of system volume for mobile devices, terminals.
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
Fig. 1 is a flow chart of a control method of an intelligent door lock according to an embodiment of the present application. As shown in fig. 1, an embodiment of the present application provides a control method for an intelligent door lock, including the following steps:
step S101, acquiring a real-time face image corresponding to a target user expected to unlock the intelligent door lock, and acquiring a head posture angle corresponding to the target user, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image.
In this embodiment, the target user is the user or user who is currently desiring to unlock the intelligent door lock; in this embodiment, the intelligent door lock has a 3D structured light module, whereby real-time face images of a target user placed in front of the door where the intelligent door lock is installed are collected through the 3D structured light module; the unlocking principle of the intelligent door lock is as follows: the collected face image is matched with the pre-stored face image, namely, the user corresponding to the current face image is identified as the user for inputting the unlocking password (face image), and the intelligent door lock is unlocked, but the collected face image has different gesture angles due to the position relationship between the corresponding user and the intelligent door lock when the user is input or unlocked, for example: the user facing upward the head and aiming at the intelligent door lock, if the collected real-time face image is compared with the prestored face image to determine whether the corresponding user is a user which is allowed to unlock and opens the door, the intelligent door lock compares calculated data quantity and calculation times to ensure that the unlocking speed of the intelligent door lock is low, and the unlocking speed of the intelligent door lock can be accelerated by comparing the real-time face image under the same posture angle with the prestored face image, so that in the embodiment of the application, the face image angle (head posture angle) corresponding to the current face image of the target user is synchronously collected, thereby quickly finding out the target face image, judging whether the real-time face image is the target face image which is used for unlocking the face image, therefore, in the embodiment, the head posture angle currently corresponding to the target user is collected, and in the embodiment, the head posture angle currently corresponding to the target user is collected by a terminal which is worn by the target user and has a related sensor (for example, a multi-axis gyroscope) capable of detecting the head posture angle of the user, and meanwhile, the terminal can be connected with the intelligent door lock in a wireless manner to collect the head posture of the intelligent door lock; in some optional embodiments, the terminal is further used as a judging reference for judging the unlocking mode corresponding to the intelligent door lock, that is, judging whether the target user adopts a corresponding interpretation mode by judging whether the target user wears the corresponding terminal, for example: and determining the unlocking mode of the intelligent door lock to be a quick unlocking mode by wearing the corresponding terminal by the target user.
In this embodiment, the head pose angle includes a corresponding yaw angle (yam) and a corresponding pitch angle (pitch) for the corresponding target user's head.
Step S102, detecting a face image associated with a head posture angle corresponding to a target user currently in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and a head posture angle corresponding to each face image.
In this embodiment, the number of pre-stored target face data corresponds to the number of users expected to unlock the intelligent door lock one by one, that is, each user expected to operate the intelligent door lock is pre-entered with corresponding target face data, so that when a certain target user is unlocked, the corresponding target face data can be found, and the identity of the target user is confirmed based on the comparison between the current face image of the target user and the face image in the target face data, and after the target user is confirmed to be the user allowed to unlock the intelligent door lock, the intelligent door lock is unlocked, so that the intelligent door lock is unlocked.
In this embodiment, the pre-stored target face data refers to face images of multiple head gesture angles for quick unlocking, and the face images of multiple head gesture angles are stored according to different user classifications, and the face images of different angles are recorded according to instructions through a mobile terminal with a 3D structured light module held by a corresponding user, meanwhile, when each face image is recorded, the head gesture angle corresponding to the user is collected through a collection terminal (for example, a bluetooth headset with a triaxial gyroscope) worn by the user, and meanwhile, the terminal is in pairing connection with the mobile terminal, so that when the mobile terminal records one face image, one head gesture angle is correspondingly collected and transmitted to the mobile terminal; after the face images of the multiple head gesture angles of the user are collected, the mobile terminal stores each face image and the corresponding head gesture angle according to a preset data structure (such as a hash table), meanwhile, the equipment information of the collection terminal is used as a user identifier of the user, the face images and the head gesture angle data stored according to the preset data structure are used as target face data of the corresponding user, and after the face images are recorded, the mobile terminal sends the target face data to the intelligent door lock through a wireless network, a local area network and a point-to-point communication mode.
In this embodiment, after completing the collection and transmission of the target face data, the mobile terminal will not upload the target face data to the cloud and will not be locally stored, so as to ensure the privacy information of the user; meanwhile, when the target user unlocks the intelligent door lock, the acquisition terminal for acquiring the head posture angle when the target user inputs the face image is required to acquire the current head posture angle, and if the target user does not adopt the acquisition terminal or the acquisition terminal when inputting the target face data is not matched with the acquisition terminal used during unlocking, the rapid indexing of the target face data cannot be implemented, so that the rapid unlocking of the intelligent door lock fails; of course, it should be understood that one acquisition terminal may be suitable for acquiring the head posture angle when different target users record the target face data, but it should be clear that when unlocking the intelligent door lock, the acquisition terminal wirelessly connected to the intelligent door lock must be used by the user who uses the acquisition terminal when recording the target face data.
In this embodiment, the target face data for detecting the face image associated with the head pose angle currently corresponding to the target user is the face data corresponding to the target user, that is, the target face data corresponding to the target user has been indexed before the target face image is detected; meanwhile, when the face image associated with the head posture angle corresponding to the target user currently is detected in the target face data, the face image is searched in a data table corresponding to the target face data by taking the head posture angle corresponding to the target user currently as a parameter, and the found face image is corresponding to the target face image.
It should be further noted that, the intelligent door lock in this embodiment also supports storing the face image of the multiple head gesture angles entered in the standard unlocking mode, the face data corresponding to the standard unlocking mode is the face image of the mobile terminal guiding the user to enter the preset head gesture angle, that is, the mobile terminal guides the user to rotate the head to the preset head gesture angle and then enter the face image, and the face data sent to the intelligent door lock by the mobile terminal only includes the face image of the multiple head gesture angle corresponding to each target user.
And step S103, comparing the target face image with the real-time face image, and controlling the intelligent door lock based on an instruction generated according to the comparison result.
In the embodiment, the existing face recognition algorithm (such as a principal component analysis method, a neural network algorithm and an integral image feature method-based method) is adopted to compare the target face image with the real-time face image so as to determine whether the real-time face image is an unlocking face image capable of unlocking the intelligent door lock, namely, whether a target user corresponding to the real-time face image is a user allowed to operate unlocking of the intelligent door lock; in this embodiment, when the real-time face image is determined to be the unlock face image by comparison, that is, when the real-time face image is determined to be similar to or matched with the target face image, the intelligent door lock performs the unlocking process on the current identity recognition of the target user.
Through the steps S101 to S103, acquiring a real-time face image corresponding to a target user expected to unlock the intelligent door lock currently, and acquiring a head posture angle corresponding to the target user currently, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image; detecting a face image associated with a head gesture angle corresponding to a target user currently in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and a head gesture angle corresponding to each face image; the method comprises the steps of comparing a target face image with a real-time face image, controlling the intelligent door lock based on an instruction generated according to a comparison result, solving the problem of slow unlocking speed caused by limited computing capacity and large computing data quantity of an intelligent door lock processor in the related art, realizing rapid searching of a pre-stored target face image based on the head gesture angle of the face image corresponding to an acquired target user, reducing computing times of computing the acquired real-time face data and the pre-stored target face image in the intelligent door lock face recognition process, improving the unlocking speed of the intelligent door lock, and improving the user experience.
It should be noted that, when the intelligent door lock in the embodiment of the application determines that the target user adopts a conventional standard unlocking mode, all the face data stored in advance is compared with the acquired real-time face image by traversing, and the comparison result is output through a preset face recognition algorithm, so as to further perform the operation behavior of whether to unlock or not.
In some embodiments, the method for acquiring the head pose angle currently corresponding to the target user includes the following steps:
and step 21, after broadcasting the message signaling for acquiring the face angle information, receiving response information sent by a first terminal for responding to the message signaling, wherein the first terminal is a gesture detection terminal worn by a target user.
In the embodiment, when a user performs 3D face recognition unlocking, an unlocking flow of the intelligent door lock is triggered; the intelligent door lock is in a wireless broadcasting mode, and the broadcasting type is a message signaling (Bluetooth broadcasting message) for acquiring the face angle information; if the target user wears the first terminal (for example, a Bluetooth headset) and has a function of synchronizing a face angle to the intelligent door lock (the first terminal has a triaxial gyroscope module and supports a protocol of acquiring a response of the face angle of the door lock), the first terminal is in wireless connection with the intelligent door lock, and the first terminal acquires the head posture angle (including a yaw angle yaw value and a pitch angle pitch value) at that time from the triaxial gyroscope module, sends user face angle response information to the intelligent door lock in a point-to-point wireless communication mode, and transmits the head posture angle (information corresponding to the face angle of the user) to the intelligent door lock.
And 22, analyzing the yaw angle and the pitch angle currently corresponding to the head of the target user in the response information, wherein the head gesture angle comprises the yaw angle and the pitch angle.
After the message signaling of the face angle information is obtained through broadcasting in the steps, receiving response information sent by a first terminal for responding to the message signaling, wherein the first terminal is a gesture detection terminal worn by a target user; in the response information, the yaw angle and the pitch angle corresponding to the head of the target user are analyzed, wherein the head gesture angle comprises the yaw angle and the pitch angle, the current head gesture angle of the user is rapidly acquired, and the unlocking speed of the intelligent door lock is improved.
In some embodiments, after the head pose angle corresponding to the target user currently is obtained from the response information, the following steps are further implemented:
step 31, obtaining user identification information corresponding to the first terminal from the response information, wherein the user identification information is generated by the first terminal according to the equipment information of the first terminal and a preset identifier, and the identifier is used for representing an unlocking mode corresponding to current unlocking.
And 32, detecting an identifier in the user identification information, and detecting target face data from the face data stored in the password library according to the equipment information when the identifier indicates that the unlocking mode corresponding to the current unlocking is a preset target unlocking mode.
In this embodiment, the preset target unlocking mode refers to a quick unlocking mode; in this embodiment, the first terminal is an acquisition terminal (for example, a bluetooth headset with a triaxial gyroscope module) worn by a current user and wirelessly connected with the intelligent door lock, and after the intelligent door lock broadcasts a message signaling for acquiring face angle information, the first terminal wirelessly connects with the intelligent door lock and returns response information for responding to the message signaling, wherein the response information includes, besides the acquired data of the current head posture angle of the target user, user data taking equipment information of the first terminal device as a user identifier and an identifier for representing an unlocking mode corresponding to the current unlocking, for example: setting an identifier corresponding to a quick unlocking mode as 1 and setting an identifier corresponding to a standard unlocking mode as 0; meanwhile, when it needs to be described, because the corresponding first terminal supports the protocol of face angle obtaining response, when the first terminal establishes wireless connection with the intelligent door lock, the value of the corresponding identifier in the user identification information is automatically determined, and the corresponding user identification information is generated by combining the equipment information of the first terminal, for example: when the target user is placed in front of the intelligent door lock to be unlocked and the unlocking action is triggered, the intelligent door lock broadcasts a corresponding message signaling, a corresponding first terminal firstly establishes wireless connection with the intelligent door lock after receiving the corresponding message signaling, then obtains the current head posture angle of the target user from a three-axis gyroscope module of the intelligent door lock, generates user identification information through a determined identifier value (for example, 1) and corresponding equipment information, when the intelligent door lock obtains the user identification information from corresponding response information, can determine that the target user currently wears a corresponding acquisition terminal through the identifier value (corresponding to 1) in the user identification information, unlocks the intelligent door lock in a quick unlocking mode, further determines whether the first terminal worn by the target user is the first terminal used by the target user when the target user inputs face data through the equipment information in the user identification information, and when the first terminal currently worn by the target user is determined to be the first terminal used when the face data is input, the user identification information is verified to pass, can be used for quickly pre-storing index information of the target face data of the target user based on the equipment information, and the target face data can be retrieved.
In this embodiment, the prestored target face data corresponding to the current target user uses the device information of the first terminal that collects multiple head gesture angles of the target user when the face image is recorded as an index, so when the target user unlocks the intelligent door lock, the intelligent door lock receives the response information sent by the corresponding first terminal and explicitly unlocks the intelligent door lock by adopting a quick unlocking mode, and then the corresponding target face data can be quickly found by using the device information of the first terminal corresponding to the received response information as an index parameter.
In this embodiment, the preset unlocking mode further includes a standard unlocking mode, that is, conventional face recognition unlocking; user identification information is correspondingly generated for the input of face data in a standard unlocking mode, at the moment, the value of a corresponding identifier is 0, and meanwhile, a data end corresponding to equipment information is filled with randomly generated data which is not repeated in a user library; when the standard unlocking mode is adopted, the intelligent door lock can traverse all face images acquired by the user identification information to be compared with the acquired real-time face images so as to determine whether the real-time face images are unlocking face images or not, and then the intelligent door lock is controlled to unlock.
Acquiring user identification information corresponding to the first terminal from the response information in the steps, wherein the user identification information is generated by the first terminal according to the equipment information of the first terminal and a preset identifier, and the identifier is used for representing an unlocking mode corresponding to current unlocking; the method comprises the steps of detecting an identifier in user identification information, detecting target face data from face data stored in a password library according to equipment information when the identifier indicates that an unlocking mode corresponding to the next unlocking is a preset target unlocking mode, determining the unlocking mode according to the identifier in the user identification information, and then rapidly indexing the target face data corresponding to a target user according to the equipment information, so that the intelligent door lock can be rapidly unlocked, the unlocking speed of the intelligent door lock is improved, and the problem of poor user experience caused by limitation of intelligent door lock capacity and slow unlocking speed when the unlocking mode is used for unlocking is avoided.
In some embodiments, the face data includes a face data hash table, and the step 32 of detecting the target face data from the face data stored in the password library according to the device information is implemented by the following steps:
Step 321, obtaining a plurality of face data hash tables stored in a password library, wherein the face data hash tables at least comprise index information.
Step 322, detecting a target index generated according to the device information in a plurality of index information corresponding to the plurality of face data hash tables, and taking the face data hash table corresponding to the index information corresponding to the target index as target face data.
In this embodiment, the multiple face data hash table refers to face data that is expected to be stored in a hash table data structure by face images of multiple head pose angles recorded by a user capable of controlling an intelligent door lock, specifically, after a plurality of targets are recorded by corresponding finished face data (face images and head pose angles corresponding to each face image), a terminal (for example, a mobile phone) for collecting the face images correlates and stores the recorded face images and the head pose angles of the user head at the moment of recording the face images, that is, the recorded face data is stored in a data structure of the hash table; in the corresponding hash table, the device information (for example, material address information) is used as key, namely index information, in the hash table, the value in the hash table is corresponding face data, the value corresponding to the face data is set to be 2 bytes of key, the yaw angle yaw is used as the value of the upper 8 bits corresponding to the key, the pitch angle is used as the value of the lower 8 bits corresponding to the key, and the values of other bytes are used as the stored face image.
In this embodiment, the device information of the first terminal is used as the target index, the target index is detected in index information corresponding to a plurality of pre-stored face data hash tables, and when the target index matches with the corresponding index information, the face data hash table is indicated as corresponding target face data.
It should be noted that, the hash table data structure is used for storing, so that the speed of acquiring corresponding data by the intelligent door lock during unlocking can be increased, and the unlocking speed of the intelligent door lock is further increased.
Acquiring a plurality of face data hash tables stored in a password library through the steps, wherein the face data hash tables at least comprise index information; and detecting a target index generated according to the equipment information in a plurality of index information corresponding to the plurality of face data hash tables, and taking the face data hash table corresponding to the index information corresponding to the target index as target face data, so that the corresponding target face data can be quickly obtained, and the unlocking speed of the intelligent door lock can be increased.
In some embodiments, after determining the corresponding target face data, detecting a face image associated with a head posture angle currently corresponding to the target user in the pre-stored target face data to obtain a target face image, which is implemented through the following steps:
Step 41, obtaining a human face data hash table, wherein the human face data hash table further comprises a plurality of head gesture angles of alternative human face images which are input in advance, the alternative human face images are input in advance through a second terminal held by a user, and the head gesture angle corresponding to each alternative human face image is acquired through a first terminal matched with the second terminal.
In some alternative embodiments, the first terminal includes, but is not limited to, a Bluetooth headset with a three-axis gyroscope, and the second terminal includes, but is not limited to, a mobile terminal (e.g., a cell phone, ipad) with a 3D structured light module
And 42, inquiring an alternative face image corresponding to the head posture angle corresponding to the current target user in the face data hash table to obtain a target face image.
It should be noted that, the method of obtaining the target face image by looking up the table using the hash table is an existing or conventional technical means, and the technical means of obtaining the target face image by querying the candidate face image corresponding to the head posture angle currently corresponding to the target user in the embodiment of the present application does not limit the present application.
The human face data hash table is obtained through the steps; in the human face data hash table, the candidate human face image corresponding to the head gesture angle corresponding to the target user currently is inquired to obtain the target human face image, and the corresponding target human face image is quickly searched based on the head gesture angle obtained from the response information, so that the unlocking speed of the intelligent door lock is increased.
In some embodiments, comparing the target face image with the real-time face image, and controlling the intelligent door lock based on the instruction generated according to the comparison result, by the following steps:
and 51, recognizing the similarity between the real-time face image and the target face image by adopting a preset face recognition algorithm.
In this embodiment, the preset face identification algorithm may be any face identification algorithm in the prior art, for example: the Principal Component Analysis (PCA) method, and, using a preset face recognition algorithm to complete the recognition of the similarity between the real-time face image and the target face image, is an existing technical means, which is not limited by the embodiment of the present application, and may be known and clear to those skilled in the art.
And 52, determining the real-time face image as an unlocking face image and generating an unlocking instruction to control unlocking of the intelligent door lock under the condition that the similarity is larger than a preset similarity threshold.
In this embodiment, the comparison result is output through the face recognition algorithm, and if the comparison result passes, the intelligent door lock performs unlocking processing to realize quick unlocking.
Fig. 2 is a flowchart of a control method of an intelligent door lock according to a preferred embodiment of the present application, and referring to fig. 2, the method flowchart includes the steps of:
Step S201, a user inputs face multi-angle data through visual indication of the mobile terminal, and associates the input face image with a corresponding head gesture angle.
In the embodiment, when a user inputs 3D face data (used as an unlocking password) corresponding to an intelligent door lock, the user performs visual input through a mobile terminal with a 3D structured light module; before starting the input operation, the user can select a quick unlocking mode and a standard unlocking mode to input face data; when a user selects a quick unlocking mode for recording, the user is required to finish pairing connection of a Bluetooth headset and a mobile terminal (such as a mobile phone) or select the connected Bluetooth headset, the mobile terminal acquires material address (MAC address) information of the headset, the MAC address is used as user identification information to form data, the user identification Information (ID) consists of a zone bit and a data segment, the zone bit indicates the unlocking mode of the user, the quick unlocking mode is 1, and the standard unlocking mode is 0; the data segment of the user ID in the quick unlocking mode is the MAC address of the Bluetooth headset; the user selects a standard unlocking mode, a Bluetooth pairing selection process is skipped, and a corresponding user ID data segment consists of a randomly generated value and a flag bit which are not repeated in a user library; when a face image is input, the mobile terminal reminds a user of providing face information input guidance through interface indication, guides the user to rotate the head to a specified angle, realizes the input of face data, and finally completes the input of multi-angle face data; in the embodiment, after the face data is input, the mobile terminal correlates and stores the input face images and the head posture angles of each face image when the face images are input; the associated face numbers are stored in a data structure of a hash table; in the corresponding hash table, the equipment information (for example, material address information) is used as key, namely index information, in the hash table, the value in the hash table is corresponding face data, the value corresponding to the face data is set as a value of 2 bytes of key, the yaw angle yaw is used as a value of 8 bits higher than the value corresponding to the key, the pitch angle is used as a value of 8 bits lower than the value corresponding to the key, and the values of other bytes are used as stored face images; after the face data is input, the mobile terminal sends the face data hash table corresponding to the target user to the intelligent door lock in a wifi+local area network+point-to-point communication mode, the intelligent door lock stores the face data hash table, the mobile terminal cannot upload the face data hash table to the cloud and the mobile terminal does not store the face data hash table locally, and privacy information of the user is guaranteed to the greatest extent.
Step S202, the target user performs 3D face recognition unlocking, and the intelligent door lock performs input on real-time face data of the target user through the 3D structured light module.
Step S203, the target user wears a Bluetooth headset with a triaxial gyroscope, and the head posture angle corresponding to the target user is synchronized to the intelligent door lock.
In this embodiment, the three-axis gyroscope may collect the head posture angle as shown in fig. 3, wherein pitch, yaw, roll is pitch angle, yaw angle, and roll angle in order.
Step S204, the intelligent door lock rapidly searches out a target face image (corresponding to unlocking face data) corresponding to the head posture angle based on the head posture angle synchronized by the Bluetooth headset, compares the target face image with the unlocking face data, and performs rapid face recognition unlocking according to the comparison result.
In this embodiment, when the target user performs 3D face recognition unlocking (refer to fig. 4), the unlocking process of the intelligent door lock is triggered; the intelligent door lock preferentially broadcasts a Bluetooth broadcast message with the type of acquiring face angle information in a Bluetooth broadcast mode; if the target user wears the Bluetooth headset and has the function of synchronizing the face angle to the door lock (a protocol which is provided with a three-axis gyroscope module and supports the door lock face angle to obtain a response), the Bluetooth headset is connected with the intelligent door lock, the Bluetooth headset obtains the yaw value and the pitch value at the moment from the three-axis gyroscope module, sends user face angle response information to the intelligent door lock in a Bluetooth communication mode, and transmits the head gesture angle information of the user to the intelligent door lock; the intelligent door lock acquires the user face angle response information, and then analyzes the yaw value and the pitch value in the response information; meanwhile, as response information sent by the Bluetooth headset is received, the target user is indicated to execute a quick unlocking mode, the MAC address of the Bluetooth headset forms a user ID corresponding to the target user, and the user data hash table is quickly searched to obtain index information of the face data hash table corresponding to the password library; the intelligent door lock rapidly searches the corresponding target face image through the analyzed head gesture angle, compares the target face image with the input real-time face image, outputs a comparison result through a face recognition algorithm, and if the comparison result passes, the intelligent door lock performs unlocking processing to achieve rapid unlocking.
The embodiment also provides a control device for an intelligent door lock, which is used for implementing the above embodiment and the preferred embodiment, and is not described again. The terms "module," "unit," "sub-unit," and the like as used below may refer to a combination of software and/or hardware that performs a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware, are also possible and contemplated.
Fig. 5 is a block diagram of a control device for an intelligent door lock according to an embodiment of the present application, as shown in fig. 5, the device includes:
the acquisition module 51 is configured to acquire a real-time face image currently corresponding to a target user who expects to unlock the intelligent door lock, and acquire a head posture angle currently corresponding to the target user, where the head posture angle is used to represent a user face angle corresponding to the real-time face image;
the detection module 52 is coupled to the acquisition module 51, and is configured to detect, in pre-stored target face data, a face image associated with a head pose angle currently corresponding to a target user, to obtain a target face image, where the pre-stored target face data includes at least a plurality of face images and a head pose angle corresponding to each face image;
The processing module 53 is coupled to the detecting module 52, and is configured to compare the target face image with the real-time face image, and control the intelligent door lock based on an instruction generated according to the comparison result.
By the intelligent door lock control device, the real-time face image corresponding to the target user which is expected to unlock the intelligent door lock is acquired, and the head posture angle corresponding to the target user is acquired, wherein the head posture angle is used for representing the face angle of the user corresponding to the real-time face image; detecting a face image associated with a head gesture angle corresponding to a target user currently in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and a head gesture angle corresponding to each face image; the method comprises the steps of comparing a target face image with a real-time face image, controlling the intelligent door lock based on an instruction generated according to a comparison result, solving the problem of slow unlocking speed caused by limited computing capacity and large computing data quantity of an intelligent door lock processor in the related art, realizing rapid searching of a pre-stored target face image based on the head gesture angle of the face image corresponding to an acquired target user, reducing computing times of computing the acquired real-time face data and the pre-stored target face image in the intelligent door lock face recognition process, improving the unlocking speed of the intelligent door lock, and improving the user experience.
In some embodiments, the acquisition module 51 receives, after broadcasting a message signaling for acquiring face angle information, response information sent by a first terminal for responding to the message signaling, where the first terminal is a gesture detection terminal worn by a target user; and analyzing the yaw angle and the pitch angle corresponding to the head of the target user in the response information, wherein the head gesture angle comprises the yaw angle and the pitch angle.
In some embodiments, the intelligent door lock control device is further configured to obtain, after obtaining a head gesture angle currently corresponding to the target user, user identification information corresponding to the first terminal from the response information, where the user identification information is generated by the first terminal according to device information of the first terminal and a preset identifier, and the identifier is used to characterize an unlocking mode corresponding to current unlocking; and detecting an identifier in the user identification information, and detecting target face data from the face data stored in the password library according to the equipment information when the identifier indicates that the unlocking mode corresponding to the current unlocking is a preset target unlocking mode.
In some embodiments, the face data includes a face data hash table, and the intelligent door lock control device is further configured to obtain a plurality of face data hash tables stored in the password library, where the face data hash table includes at least index information; and detecting a target index generated according to the equipment information in a plurality of index information corresponding to the plurality of face data hash tables, and taking the face data hash table corresponding to the index information corresponding to the target index as target face data.
In some of these embodiments, the detection module 52 further includes:
the acquisition unit is used for acquiring a human face data hash table, wherein the human face data hash table also comprises a plurality of head gesture angles of alternative human face images which are input in advance, the alternative human face images are input in advance through a second terminal held by a user, and the head gesture angle corresponding to each alternative human face image is acquired through a first terminal matched with the second terminal;
and the inquiring unit is coupled with the acquiring unit and is used for inquiring the candidate face image corresponding to the head posture angle corresponding to the current target user in the face data hash table to obtain the target face image.
In some of these embodiments, the processing module 53 further comprises:
the recognition unit is used for recognizing the similarity between the real-time face image and the target face image by adopting a preset face recognition algorithm;
the determining unit is coupled with the identifying unit and used for determining that the real-time face image is an unlocking face image and generating an unlocking instruction to control unlocking of the intelligent door lock under the condition that the identifying unit identifies that the to-be-similar degree is larger than a preset similarity threshold value.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 6, the embodiment of the present application provides an electronic device including a processor 61, a communication interface 62, a memory 63, and a communication bus 64, wherein the processor 61, the communication interface 62, and the memory 63 perform communication with each other through the communication bus 64,
A memory 63 for storing a computer program;
processor 61 is configured to implement the method steps of fig. 1 when executing programs stored on memory 63.
The processing in the electronic device implements the method steps in fig. 1, and the technical effects brought by the processing are consistent with those of the control method for executing the intelligent door lock in fig. 1 in the foregoing embodiment, which is not described herein again.
The communication bus mentioned in the above electronic device may be a peripheral component interconnect standard (Peripheral Component Interconnect, abbreviated to PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated to EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other equipment.
The memory may include random access memory (Random Access Memory, RAM) or non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the control method of the intelligent door lock provided in any one of the method embodiments.
In a further embodiment of the present application, a computer program product comprising instructions is also provided, which when run on a computer, causes the computer to perform the steps of the method for controlling a smart door lock as described in any of the above embodiments.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include others that are expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The control method of the intelligent door lock is characterized by comprising the following steps:
acquiring a real-time face image corresponding to a target user which expects to unlock an intelligent door lock, and acquiring a head posture angle corresponding to the target user, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image;
detecting a face image associated with a head posture angle corresponding to the current target user in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and one head posture angle corresponding to each face image;
Comparing the target face image with the real-time face image, and controlling the intelligent door lock based on an instruction generated according to a comparison result;
the method for acquiring the head posture angle corresponding to the target user currently comprises the following steps: after broadcasting a message signaling for acquiring face angle information, receiving response information sent by a first terminal for responding to the message signaling, wherein the first terminal is a gesture detection terminal worn by the target user; analyzing a yaw angle and a pitch angle which are currently corresponding to the head of the target user in the response information, wherein the head gesture angle comprises the yaw angle and the pitch angle;
after the head posture angle corresponding to the target user currently is obtained, the method further comprises the following steps: acquiring user identification information corresponding to the first terminal from the response information, wherein the user identification information is generated by the first terminal according to the equipment information of the first terminal and a preset identifier, and the identifier is used for representing an unlocking mode corresponding to current unlocking; and detecting the identifier in the user identification information, and detecting the target face data from the face data stored in the password library according to the equipment information when the identifier indicates that the unlocking mode corresponding to the current unlocking is a preset target unlocking mode.
2. The method of claim 1, wherein the face data comprises a face data hash table, wherein detecting the target face data from the face data stored in the password library based on the device information comprises:
acquiring a plurality of face data hash tables stored in a password library, wherein the face data hash tables at least comprise index information;
and detecting the target index generated according to the equipment information in a plurality of index information corresponding to a plurality of face data hash tables, and taking the face data hash table corresponding to the index information corresponding to the target index as the target face data.
3. The method according to claim 2, wherein detecting a face image associated with a head pose angle currently corresponding to the target user in pre-stored target face data, to obtain a target face image, comprises:
acquiring the human face data hash table, wherein the human face data hash table further comprises a plurality of head gesture angles of alternative human face images which are input in advance, the alternative human face images are input in advance through a second terminal held by a user, and the head gesture angle corresponding to each alternative human face image is acquired through the first terminal paired with the second terminal;
And inquiring the alternative face image corresponding to the head posture angle corresponding to the target user currently in the face data hash table to obtain the target face image.
4. A method according to claim 3, wherein the first terminal comprises a bluetooth headset with a tri-axis gyroscope and the second terminal comprises a mobile terminal with a 3D structured light module.
5. The method of claim 1, wherein comparing the target face image with the real-time face image and controlling the intelligent door lock based on instructions generated according to the comparison result comprises:
adopting a preset face recognition algorithm to recognize the similarity between the real-time face image and the target face image;
and under the condition that the similarity is larger than a preset similarity threshold, determining the real-time face image as an unlocking face image, and generating an unlocking instruction to control the intelligent door lock to be unlocked.
6. The utility model provides a controlling means of intelligent lock which characterized in that includes:
the acquisition module is used for acquiring a real-time face image corresponding to a target user which expects to unlock the intelligent door lock currently, and acquiring a head posture angle corresponding to the target user currently, wherein the head posture angle is used for representing a user face angle corresponding to the real-time face image;
The detection module is used for detecting a face image associated with a head gesture angle corresponding to the current target user in prestored target face data to obtain a target face image, wherein the prestored target face data at least comprises a plurality of face images and one head gesture angle corresponding to each face image;
the processing module is used for comparing the target face image with the real-time face image and controlling the intelligent door lock based on an instruction generated according to a comparison result;
the acquisition module is further used for receiving response information sent by a first terminal responding to the message signaling after the message signaling for acquiring the face angle information is broadcasted, wherein the first terminal is a gesture detection terminal worn by the target user; analyzing a yaw angle and a pitch angle which are currently corresponding to the head of the target user in the response information, wherein the head gesture angle comprises the yaw angle and the pitch angle;
the intelligent door lock control device is further configured to, after acquiring a head posture angle currently corresponding to the target user, further include: acquiring user identification information corresponding to the first terminal from the response information, wherein the user identification information is generated by the first terminal according to the equipment information of the first terminal and a preset identifier, and the identifier is used for representing an unlocking mode corresponding to current unlocking; and detecting the identifier in the user identification information, and detecting the target face data from the face data stored in the password library according to the equipment information when the identifier indicates that the unlocking mode corresponding to the current unlocking is a preset target unlocking mode.
7. The electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the control method of the intelligent door lock according to any one of claims 1 to 5 when executing a program stored on a memory.
8. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the control method of a smart door lock according to any one of claims 1-5.
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