Intelligent door lock control method and device, and intelligent door lock

Abstract

The embodiment of the application provides a kind of intelligent door lock control method, device and intelligent door lock, the method comprises: when detecting the target user of pre-unlocking intelligent door lock, the interval distance between target user and intelligent door lock is obtained;According to interval distance, the target power of intelligent door lock is adjusted, and target power is positively related to interval distance;Face image of target user is collected under target power;Face recognition is carried out to the face image collected, and if identification is successful, then control intelligent door lock to open.By adding power control in intelligent door lock, the target power of intelligent door lock is determined according to the interval distance between target user and intelligent door lock, the target power is increased when distance is far, and the target power is reduced when distance is near, the face recognition success rate and energy consumption are considered, and user experience is improved.

Description

Technical Field

[0001] This invention relates to the field of smart home technology, specifically to a smart door lock control method, device, and smart door lock. Background Technology

[0002] With the continuous advancement of technology and the constant improvement of people's living standards, people's demand for a more comfortable and high-quality living environment is also increasing, giving rise to the smart home concept. A smart home uses the residence as a platform, integrating facilities related to home life through comprehensive wiring technology, network communication technology, security technology, automatic control technology, and audio-visual technology. This creates an efficient management system for residential facilities and daily household affairs, enhancing home security, convenience, comfort, and aesthetics, while achieving an environmentally friendly and energy-saving living environment.

[0003] Smart locks, as an emerging smart home product, differ from traditional mechanical locks. They do not require physical keys and can be unlocked simply by verifying information, bringing great convenience to users. Facial recognition technology, as a mainstream unlocking method, has been widely used in smart locks. However, facial recognition smart locks require capturing facial images for unlocking; however, current facial recognition smart locks are limited by the data acquisition environment, often resulting in facial recognition failures. Users need to attempt unlocking multiple times, wasting time and negatively impacting the user experience. Summary of the Invention

[0004] This invention provides a smart door lock control method, device, and smart door lock to solve the problem of low face recognition rate in existing face recognition smart door locks, which leads to a poor user experience.

[0005] In a first aspect, embodiments of the present invention provide a smart door lock control method, comprising:

[0006] When a target user is detected who is about to unlock the smart lock, the distance between the target user and the smart lock is obtained.

[0007] The target power of the smart door lock is adjusted according to the interval distance, and the target power is positively correlated with the interval distance;

[0008] Acquire facial images of the target user at the target power;

[0009] The system performs facial recognition on the captured facial images. If the recognition is successful, it controls the smart door lock to open.

[0010] In one embodiment, adjusting the target power of the smart door lock according to the interval distance includes:

[0011] When the interval distance is less than or equal to the first preset distance threshold, the target power of the smart door lock is determined to be the first preset power value;

[0012] When the interval distance is greater than the first preset distance threshold, the target power of the smart door lock is determined to be the second preset power value;

[0013] The second preset power value is greater than the first preset power value.

[0014] In one embodiment, adjusting the target power of the smart door lock according to the interval distance includes:

[0015] When the interval distance is less than or equal to the first preset distance threshold, the target power of the smart door lock is reduced, and the amount of reduction in target power is positively correlated with the difference between the interval distance and the first preset distance threshold.

[0016] When the interval distance is greater than the first preset distance threshold, the target power of the smart door lock is increased. The increase in target power is positively correlated with the difference between the interval distance and the first preset distance threshold.

[0017] In one embodiment, the method further includes:

[0018] When the distance between the two points exceeds the second preset distance threshold, the system will prompt the target user to approach the smart lock through at least one of the following methods: voice, image, text, and indicator light. The second preset distance threshold is greater than the first preset distance threshold.

[0019] In one embodiment, after controlling the smart door lock to open, the method further includes:

[0020] Reduce the target power of the smart door lock to the preset standby power value.

[0021] In one embodiment, performing face recognition on the acquired face image includes:

[0022] Determine the head pose angle corresponding to the face image;

[0023] Retrieve face images associated with head pose angles from a pre-stored face image database to obtain the face images to be matched;

[0024] The collected face images are matched with the face images to be matched.

[0025] In one embodiment, the method further includes:

[0026] If recognition fails, an alarm sound will be emitted and an alarm message will be generated;

[0027] The alarm information will be fed back to the terminal device that is bound to the smart lock.

[0028] Secondly, embodiments of the present invention provide an intelligent door lock control device, comprising:

[0029] The distance detection module is used to obtain the distance between the target user and the smart lock when a target user is detected to be unlocking the smart lock.

[0030] The processing module is used to determine the target power of the smart lock based on the interval distance, and the target power is positively correlated with the interval distance;

[0031] The image acquisition module is used to acquire facial images of the target user at the target power.

[0032] The control module is used to perform facial recognition on the captured facial images. If the recognition is successful, it controls the smart door lock to open.

[0033] Thirdly, embodiments of the present invention provide an intelligent door lock, comprising: a distance detection device, an image acquisition device, a memory, and at least one processor;

[0034] Distance detection equipment is used to detect the distance between the target user and the smart lock in a pre-unlocked smart lock;

[0035] Image acquisition devices are used to capture facial images of target users;

[0036] The memory stores the instructions that the computer executes;

[0037] At least one processor executes computer execution instructions stored in memory, causing the at least one processor to perform the smart lock control method as described in any of the first aspects.

[0038] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the smart door lock control method as described in any of the first aspects.

[0039] The smart lock control method, device, and smart lock provided in this invention, when detecting a target user attempting to unlock the smart lock, acquire the distance between the target user and the smart lock; adjust the target power of the smart lock according to the distance, where the target power is positively correlated with the distance; acquire a facial image of the target user at the target power; perform facial recognition on the acquired facial image, and if recognition is successful, control the smart lock to open. By incorporating power control into the smart lock, determining the target power based on the distance between the target user and the smart lock—increasing the target power when the distance is greater and decreasing it when the distance is less—it balances facial recognition success rate and energy consumption, thus improving the user experience. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0041] Figure 1 A flowchart of an intelligent door lock control method provided in an embodiment of the present invention;

[0042] Figure 2 A flowchart of an intelligent door lock control method provided in another embodiment of the present invention;

[0043] Figure 3 This is a schematic diagram of the structure of an intelligent door lock control device provided in an embodiment of the present invention;

[0044] Figure 4 This is a schematic diagram of the structure of a smart door lock provided in an embodiment of the present invention.

[0045] The accompanying drawings have illustrated specific embodiments of the invention, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0046] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings. Similar elements in different embodiments are referred to by associated similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of this application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to this application are not shown or described in the specification. This is to avoid obscuring the core parts of this application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.

[0047] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0048] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages).

[0049] Traditional smart locks based on facial recognition often fail to recognize faces in low light or when the user's face is too far from the recognition module, requiring multiple unlocking attempts and wasting time, thus impacting user experience. To address the low recognition rate of existing smart lock facial recognition modules and the lack of corresponding measures to improve recognition probability when difficulties arise, this application detects the distance between the user and the smart lock and controls the lock's power accordingly. When the recognition rate is low due to distance, a high-power mode is used to improve the success rate of facial recognition; when the distance is close, a low-power mode is used, reducing energy consumption while ensuring the success rate of facial recognition. Specific embodiments will further illustrate this application below.

[0050] Figure 1 This is a flowchart illustrating a smart door lock control method according to an embodiment of the present invention. Figure 1 As shown, the smart door lock control method provided in this embodiment may include:

[0051] S101. When a target user of the pre-unlocked smart door lock is detected, obtain the distance between the target user and the smart door lock.

[0052] In one optional implementation, the smart lock can acquire image data within a target area at a preset frequency using its image acquisition device, and perform face detection or human body detection on the acquired image data. If a face or human body is detected from the acquired image data, it is determined that a target user is attempting to unlock the smart lock. In another optional implementation, the smart lock can also use an infrared sensor to detect the presence of a target user attempting to unlock the smart lock.

[0053] The distance between the target user and the smart lock is one of the important factors affecting the success rate of facial recognition. In this embodiment, after detecting a target user who has pre-unlocked the smart lock, the distance between the target user and the smart lock can be obtained through a distance detection device, such as microwave radar.

[0054] S102. Adjust the target power of the smart door lock according to the interval distance. The target power is positively correlated with the interval distance.

[0055] In this embodiment, the target power of the smart lock is positively correlated with the distance between the target user and the smart lock. That is, when the distance is far and the recognition rate is low, a higher target power is used to improve the success rate of facial recognition; when the distance is close, a lower target power is used, which reduces energy consumption while ensuring the success rate of facial recognition. Smart locks are typically battery-powered; reducing energy consumption can increase their standby time, avoiding frequent battery replacements or charging by users, thus improving the user experience.

[0056] S103. Acquire the face image of the target user at the target power.

[0057] Understandably, in high-power mode, the power of image acquisition devices, such as camera modules, also increases, resulting in clearer and more accurate facial images, thereby improving the success rate of facial recognition. Furthermore, in high-power mode, ambient light can be supplemented by illumination devices to further enhance the clarity of the acquired facial images.

[0058] S104. Perform facial recognition on the collected facial image. If the recognition is successful, control the smart door lock to open.

[0059] After obtaining the target user's facial image, it can be matched with facial images in a pre-stored facial image database. If a match is found, the door lock is opened.

[0060] The smart lock control method provided in this embodiment obtains the distance between the target user and the smart lock when a target user is detected attempting to unlock the smart lock. It then adjusts the target power of the smart lock based on this distance, with the target power being positively correlated with the distance. At the target power, it acquires a facial image of the target user. Finally, it performs facial recognition on the acquired facial image; if recognition is successful, it controls the smart lock to open. By incorporating power control into the smart lock, determining the target power based on the distance between the target user and the smart lock—increasing the target power when the distance is greater and decreasing it when the distance is less—it balances facial recognition success rate and energy consumption, thus improving the user experience.

[0061] Based on the above embodiments, the following two embodiments will further illustrate in detail how to adjust the target power of the smart door lock according to the interval distance.

[0062] In one optional implementation, adjusting the target power of the smart lock according to the interval distance may specifically include: when the interval distance is less than or equal to a first preset distance threshold, determining the target power of the smart lock as a first preset power value; when the interval distance is greater than the first preset distance threshold, determining the target power of the smart lock as a second preset power value; the second preset power value is greater than the first preset power value.

[0063] This embodiment uses a discrete approach to adjust the target power, simplifying the control logic and facilitating hardware implementation. Specifically, the smart lock can include two power modes: a high-power mode and a low-power mode. The target power for the low-power mode is a first preset power value; the target power for the high-power mode is a second preset power value. When the interval distance is less than or equal to the first preset distance threshold, the low-power mode is used; when the interval distance is greater than the first preset distance threshold, the high-power mode is switched. The first preset distance threshold can be determined based on statistical data, for example, it can be set to 0.5 meters.

[0064] In another optional implementation, adjusting the target power of the smart lock according to the interval distance may specifically include: when the interval distance is less than or equal to a first preset distance threshold, reducing the target power of the smart lock, the amount of reduction of the target power being positively correlated with the difference between the interval distance and the first preset distance threshold; when the interval distance is greater than the first preset distance threshold, increasing the target power of the smart lock, the amount of increase of the target power being positively correlated with the difference between the interval distance and the first preset distance threshold.

[0065] This embodiment uses a continuous adjustment method to adjust the target power, which allows for more precise adjustment and a better balance between facial recognition success rate and energy consumption. In this embodiment, the target power of the smart lock is a continuous value, increasing as the interval distance increases and decreasing as the interval distance decreases. The amount of increase or decrease is determined based on the difference between the interval distance and a first preset distance threshold.

[0066] Based on any of the above embodiments, in order to further improve the user experience, the smart door lock control method provided in this embodiment may further include: when the interval distance is greater than a second preset distance threshold, prompting the target user to approach the smart door lock through at least one of voice, image, text and indicator light, wherein the second preset distance threshold is greater than a first preset distance threshold.

[0067] It is understandable that when the distance between the target user and the smart lock is too large, even if the target power of the smart lock is increased, recognition failure may still occur. If no action is taken, the user will need to perform face recognition multiple times or even fail to unlock the door, which may confuse the target user and result in a poor user experience. Therefore, in this embodiment, when the distance exceeds a second preset distance threshold, the target user is prompted to move closer to the smart lock. This can be achieved by playing a pre-stored voice prompt, displaying a video or picture on the smart lock's display device, or using an indicator light on the smart lock to show that the distance is too large and remind the user to move closer. It should be noted that in this embodiment, the second preset distance threshold is greater than the first preset distance threshold; for example, the first preset distance threshold can be set to 0.5 meters, and the second preset distance threshold can be set to 1 meter.

[0068] Based on any of the above embodiments, in order to further reduce the power consumption of the smart lock and increase its working time, the smart lock control method provided in this embodiment reduces the target power of the smart lock to a preset standby power value after controlling the smart lock to open.

[0069] The method used to perform facial recognition on the acquired facial images is also a crucial factor affecting the success rate of facial recognition. Please refer to [link / reference needed]. Figure 2 To further improve the success rate of face recognition, based on any of the above embodiments, the smart door lock control method provided in this embodiment may include face recognition of the acquired face image, which may include:

[0070] S1041. Determine the head pose angle corresponding to the face image.

[0071] The head posture angle can reflect the angular positional relationship between the target user and the smart lock to a certain extent. For example, when the user looks up and looks to the side at the smart lock, the head posture angle corresponding to the face image is different. In this embodiment, the head posture angle corresponding to the face image can be determined by analyzing the face image.

[0072] S1042. Obtain face images associated with head pose angles from a pre-stored face image database to obtain face images to be matched.

[0073] In this embodiment, the face image database pre-stores face images with multiple head pose angles. Based on the head pose angle corresponding to the determined face image, the face image associated with the head pose angle is obtained from it. For example, it can be any bright image with the same head pose angle, which reduces the number of face images to be matched. This not only improves the face recognition speed, but also helps to improve the face recognition success rate.

[0074] S1043. Match the acquired face image with the face image to be matched.

[0075] Specifically, the matching degree between the acquired face image and the face image to be matched can be calculated, and the success of the recognition can be determined based on the matching degree.

[0076] The smart door lock control method provided in this embodiment, based on any of the above embodiments, further determines the head posture angle corresponding to the face image, obtains a face image associated with the head posture angle from a pre-stored face image database, obtains a face image to be matched, and matches the collected face image with the face image to be matched. This reduces the number of times the smart door lock calculates the matching degree between the collected face image and the face image to be matched during the face recognition process. This not only improves the unlocking speed of the smart door lock, but also helps to improve the face recognition success rate by matching face images with the same head posture angle, which can greatly improve the user experience.

[0077] Smart locks eliminate the need for physical keys, bringing great convenience, but their security is also a key concern for users. Building upon any of the above embodiments, to further enhance the security of smart locks, the smart lock control method provided in this embodiment may further include: if identification fails, issuing an alarm sound and generating an alarm message; and sending the alarm message back to a terminal device bound to the smart lock. The alarm sound serves as a warning to unauthorized unlockers. Simultaneously, sending the generated alarm message back to the terminal device bound to the smart lock, such as sending it to the user's smartphone, promptly alerts the user to potential security risks.

[0078] Figure 3 This is a schematic diagram of the structure of an intelligent door lock control device provided according to an embodiment of the present invention. Figure 3 As shown, the smart door lock control device 30 provided in this embodiment may include: a distance detection module 301, a processing module 302, an image acquisition module 303, and a control module 304.

[0079] The distance detection module 301 is used to obtain the distance between the target user and the smart lock when a target user who is about to unlock the smart lock is detected.

[0080] Processing module 302 is used to determine the target power of the smart door lock based on the interval distance, and the target power is positively correlated with the interval distance;

[0081] Image acquisition module 303 is used to acquire facial images of the target user at the target power.

[0082] The control module 304 is used to perform face recognition on the acquired face image. If the recognition is successful, it controls the smart door lock to open.

[0083] The apparatus of this embodiment can be used to perform Figure 1 The technical solutions of the method embodiments shown are similar in principle and in effect, and will not be described again here.

[0084] In one optional implementation, the processing module 302 for adjusting the target power of the smart lock according to the interval distance may specifically include:

[0085] When the interval distance is less than or equal to the first preset distance threshold, the target power of the smart door lock is determined to be the first preset power value;

[0086] When the interval distance is greater than the first preset distance threshold, the target power of the smart door lock is determined to be the second preset power value;

[0087] The second preset power value is greater than the first preset power value.

[0088] In one optional implementation, the processing module 302 adjusts the target power of the smart lock according to the interval distance, including:

[0089] When the interval distance is less than or equal to the first preset distance threshold, the target power of the smart door lock is reduced, and the amount of reduction in target power is positively correlated with the difference between the interval distance and the first preset distance threshold.

[0090] When the interval distance is greater than the first preset distance threshold, the target power of the smart door lock is increased. The increase in target power is positively correlated with the difference between the interval distance and the first preset distance threshold.

[0091] In an optional implementation, the processing module 302 is further configured to prompt the target user to approach the smart lock via at least one of voice, image, text and indicator light when the interval distance is greater than a second preset distance threshold, wherein the second preset distance threshold is greater than a first preset distance threshold.

[0092] In one optional implementation, the control module 304 is further configured to reduce the target power of the smart door lock to a preset standby power value after controlling the smart door lock to open.

[0093] In one optional implementation, the control module 304 for performing face recognition on the acquired face image may further include:

[0094] Determine the head pose angle corresponding to the face image;

[0095] Retrieve face images associated with head pose angles from a pre-stored face image database to obtain the face images to be matched;

[0096] The collected face images are matched with the face images to be matched.

[0097] In one optional implementation, the smart door lock control device 30 may further include an alarm module (not shown in the figure), which is used to issue an alarm sound and generate alarm information if identification fails; and to feed back the alarm information to the terminal device bound to the smart door lock.

[0098] Figure 4 This is a schematic diagram of the structure of a smart door lock according to an embodiment of the present invention. This embodiment of the present invention is for illustrative purposes only. Figure 4 The invention is illustrated by example and is not intended to be limited to this. Figure 4 As shown, the smart door lock 40 provided in this embodiment may include: a distance detection device 404, an image acquisition device 405, a memory 401, a processor 402, and a bus 403.

[0099] Among them, the distance detection device 404 is used to detect the distance between the target user of the pre-unlocked smart door lock and the smart door lock; the image acquisition device 405 is used to acquire the face image of the target user; and the bus 403 is used to realize the connection between the various components.

[0100] The memory 401 stores a computer program, which, when executed by the processor 402, can implement the technical solutions of any of the above method embodiments.

[0101] The memory 401 and processor 402 are electrically connected directly or indirectly to enable data transmission or interaction. For example, these components can be electrically connected to each other via one or more communication buses or signal lines, such as bus 403. The memory 401 stores a computer program that implements the smart door lock control method, including at least one software function module that can be stored in the memory 401 in the form of software or firmware. The processor 402 executes various functional applications and data processing by running the software program and modules stored in the memory 401.

[0102] The memory 401 may be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory 401 stores programs, and the processor 402 executes the programs after receiving execution instructions. Furthermore, the software programs and modules within the memory 401 may also include an operating system, which may include various software components and / or drivers for managing system tasks (such as memory management, storage device control, power management, etc.) and can communicate with various hardware or software components to provide an operating environment for other software components.

[0103] Processor 402 can be an integrated circuit chip with signal processing capabilities. The aforementioned processor 402 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. It is understood that... Figure 4 The structure shown is for illustrative purposes only and may include more... Figure 4 The more or fewer components shown, or having the same Figure 4 The different configurations shown. Figure 4 The components shown can be implemented in hardware and / or software.

[0104] This invention also provides a computer-readable storage medium storing a computer program thereon, which is executed by a processor to implement the technical solutions of any of the above method embodiments.

[0105] The various embodiments in this disclosure are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0106] The scope of protection of this disclosure is not limited to the embodiments described above. Obviously, those skilled in the art can make various modifications and variations to this disclosure without departing from its scope and spirit. If such modifications and variations fall within the scope of the claims of this disclosure and their equivalents, then the intent of this disclosure also includes such modifications and variations.

Claims

1. A smart door lock control method, characterized in that, include: When a target user who has pre-unlocked the smart lock is detected, the distance between the target user and the smart lock is obtained; The target power of the smart lock is adjusted according to the interval distance, wherein the target power is positively correlated with the interval distance; wherein, adjusting the target power of the smart lock according to the interval distance includes: When the interval distance is less than or equal to a first preset distance threshold, the target power of the smart door lock is reduced, and the amount of reduction in the target power is positively correlated with the difference between the interval distance and the first preset distance threshold. When the interval distance is greater than the first preset distance threshold, the target power of the smart door lock is increased, and the increase in the target power is positively correlated with the difference between the interval distance and the first preset distance threshold. The facial image of the target user is acquired at the target power; wherein, the facial image of the target user is acquired through a camera module; The system performs facial recognition on the captured facial images. If the recognition is successful, it controls the smart door lock to open. When the interval distance is greater than a second preset distance threshold, the target user is prompted to approach the smart lock through at least one of voice, image, text and indicator light, wherein the second preset distance threshold is greater than the first preset distance threshold; wherein the first preset distance threshold is 0.5 meters and the second preset distance threshold is 1 meter; The step of performing face recognition on the acquired face images includes: Determine the head pose angle corresponding to the face image; Retrieve face images associated with the head pose angle from a pre-stored face image database to obtain the face image to be matched; The acquired face image is matched with the face image to be matched.

2. The method according to claim 1, characterized in that, The step of adjusting the target power of the smart lock according to the interval distance includes: When the interval distance is less than or equal to the first preset distance threshold, the target power of the smart door lock is determined to be the first preset power value; When the interval distance is greater than the first preset distance threshold, the target power of the smart door lock is determined to be the second preset power value; The second preset power value is greater than the first preset power value.

3. The method according to claim 1, characterized in that, After the smart door lock is opened, the method further includes: The target power of the smart door lock is reduced to a preset standby power value.

4. The method according to claim 1, characterized in that, The method further includes: If recognition fails, an alarm sound will be emitted and an alarm message will be generated; The alarm information is fed back to the terminal device bound to the smart lock.

5. A smart door lock control device applying the method as described in claim 1, characterized in that, include: The distance detection module is used to obtain the distance between the target user and the smart lock when a target user is detected to be unlocking the smart lock. The processing module is used to determine the target power of the smart door lock based on the interval distance, wherein the target power is positively correlated with the interval distance; The image acquisition module is used to acquire the face image of the target user under the target power. The control module is used to perform facial recognition on the acquired facial images. If the recognition is successful, it controls the smart door lock to open.

6. A smart door lock, characterized in that, include: Distance detection device, image acquisition device, memory, and at least one processor; The distance detection device is used to detect the distance between the target user of the pre-unlocked smart lock and the smart lock. The image acquisition device is used to acquire the facial image of the target user; The memory stores computer-executed instructions; The at least one processor executes computer execution instructions stored in the memory, causing the at least one processor to perform the smart door lock control method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the smart door lock control method as described in any one of claims 1-4.

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