Smart home identification induction lock and intelligent control method

Abstract

The invention relates to the field of smart home, in particular to a smart home recognition induction lock and an intelligent control method, and the method comprises the steps: firstly collecting a figure image in an image recognition area, and analyzing the figure image to obtain a to-be-detected figure image; detecting whether the to-be-detected figure image exists in a preset target image set or not; it is used to determine whether any of the entered password is a family member. When the to-be-detected figure image exists in the preset target image set, to-be-detected password data in a digital recognition area is collected; detecting whether the to-be-detected password data is the same as target password data or not; and when the to-be-tested password data is the same as the target password data, unlocking the smart home identification induction lock. According to the invention, the locking / unlocking control of the smart home lock is carried out through a dual authentication mode of characters and passwords. The household identification induction lock can be more efficient, safer and more convenient, so that the safety and the identification precision of the intelligent household lock are enhanced.

Description

Technical Field

[0001] This application relates to the technical field of smart home, and in particular to a smart home recognition and induction lock and an intelligent control method. Background Art

[0002] With the rapid development of Internet of Things, cloud computing and artificial intelligence technologies, smart home systems have gradually become an important part of modern families. Recognition and induction technology is the core of smart home recognition and induction locks. Currently, in existing recognition and induction technologies, most are fingerprint recognition, face recognition, iris recognition, finger vein recognition, and near-field communication recognition, etc.

[0003] Among them, fingerprint recognition collects fingerprint images through optical or semiconductor sensors and performs comparison and recognition. However, when using fingerprint recognition, there are problems such as poor recognition effect when the finger is damaged or in a humid environment.

[0004] In view of these problems, there is an urgent need for a smart home recognition and induction lock and an intelligent control method, which can make the home recognition and induction lock more efficient, safe and convenient, so as to enhance the security and recognition accuracy of the smart home lock. Summary of the Invention

[0005] In order to make the home recognition and induction lock more efficient, safe and convenient, this application provides a smart home recognition and induction lock and an intelligent control method.

[0006] In a first aspect, an intelligent control method provided by this application adopts the following technical solutions: An intelligent control method applied to a smart home recognition and induction lock, comprising: Collect a person image in an image recognition area, and parse the person image to obtain a to-be-detected person image; Detect whether the to-be-detected person image exists in a preset target image set; When the to-be-detected person image exists in the preset target image set, collect to-be-detected password data in a digital recognition area; Detect whether the to-be-detected password data is the same as the target password data; When the to-be-detected password data is the same as the target password data, unlock the smart home recognition and induction lock.

[0007] Further, before detecting whether the to-be-detected password data is the same as the target password data, the method further includes: Calculate the collection time of collecting the to-be-detected password data in the digital recognition area; Calculate whether the collection time is greater than a preset collection time; When the acquisition time is less than the preset acquisition time, it is detected whether the password data to be measured is the same as the target password data.

[0008] Further, the method further includes: Set a target password data set, and the target password data in the target password data set are different from each other; The step of detecting whether the password data to be measured is the same as the target password data includes: Determine whether the password data to be measured exists in the target password data set; When the password data to be measured exists in the target password data set, it is determined that the password data to be measured is the same as the target password data.

[0009] Further, after determining that the password data to be measured is the same as the target password data, the method further includes: Delete the password data to be measured from the target password data set to update the target password data set.

[0010] Further, after detecting whether the to-be-detected person image exists in the preset target image set, the method further includes: When the to-be-detected person image does not exist in the preset target image set, power off the intelligent home recognition and induction lock.

[0011] Further, the step of unlocking the intelligent home recognition and induction lock includes: Generate a verification success record and record the verification success time; Send the verification success record and the verification success time to the mobile terminal, and the verification success record includes the person image; Detect whether a lock closing instruction is received from the mobile terminal within a preset unlocking time; The step of unlocking the intelligent home recognition and induction lock includes: When a lock closing instruction is not received from the mobile terminal within the preset unlocking time, unlock the intelligent home recognition and induction lock.

[0012] Further, after calculating whether the acquisition time is greater than the preset acquisition time, the method further includes: When the acquisition time is not less than the preset acquisition time, generate an alarm message and send the alarm message to the mobile terminal.

[0013] Further, after detecting whether a lock closing instruction is received from the mobile terminal within the preset unlocking time, the method further includes: When a lock closing instruction sent by the mobile terminal is received within a preset unlocking time, the smart home recognition and induction lock is locked.

[0014] In a second aspect, a smart home recognition and induction lock provided by the present application includes: A first acquisition module, configured to acquire a person image in an image recognition area, and analyze the person image to obtain a to-be-detected person image; A first detection module, configured to detect whether the to-be-detected person image exists in a preset target image set; A second acquisition module, configured to acquire to-be-detected password data in a digital recognition area when the first detection module determines that the to-be-detected person image exists in the preset target image set; A second detection module, configured to detect whether the to-be-detected password data is the same as target password data; An unlocking module, configured to unlock the smart home recognition and induction lock when the second detection module determines that the to-be-detected password data is the same as the target password data.

[0015] In a third aspect, the present disclosure provides a computer device, including a memory and a processor, where the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of an intelligent control method in any one of the above embodiments are implemented.

[0016] In a fourth aspect, the present disclosure provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the intelligent control method in any one of the above embodiments runs.

[0017] For the above-mentioned smart home recognition and induction lock and intelligent control method, first, a person image in an image recognition area is acquired, and the person image is analyzed to obtain a to-be-detected person image; it is detected whether the to-be-detected person image exists in a preset target image set; it is used to determine whether any of the input passwords is that of a family member. When the to-be-detected person image exists in the preset target image set, the to-be-detected password data in the digital recognition area is further acquired; then it is detected whether the to-be-detected password data is the same as the target password data; when the to-be-detected password data is the same as the target password data, the smart home recognition and induction lock is unlocked. The present application controls the locking / unlocking of the smart home lock through a dual authentication method of person and password. It can make the home recognition and induction lock more efficient, safe and convenient, so as to enhance the security and recognition accuracy of the smart home lock. Description of the Drawings

[0018] Figure 1 It is a flowchart of an intelligent control method in an embodiment.

[0019] Figure 2 Schematic structural diagram of a smart home recognition and induction lock in an embodiment; Figure 3 Schematic internal structure diagram of a computer device in an embodiment.

[0020] In the drawings, like components are denoted by like reference numerals, and the drawings are not drawn to scale. Detailed implementation manners

[0021] In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, and to fully understand how the present disclosure uses technical means to solve technical problems and the implementation process of achieving corresponding technical effects and implement accordingly, the following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The embodiments of the present disclosure and each feature in the embodiments can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0023] It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0024] Embodiment 1 Please refer to Figure 1 , in an implementation manner of the present application, a smart control method is applied to a smart home recognition and induction lock, and it includes: Step 111, collect a person image in the image recognition area, and parse the person image to obtain a to-be-detected person image.

[0025] In this embodiment, an image recognition area is determined, and the image recognition area can record the facial data and body contour data of a person. When a person appears outside the door and enters the image recognition area, the smart home recognition door lock starts to collect the person image in the image recognition area and analyzes the collected person image to obtain the to-be-detected person image.

[0026] Specifically, start the acquisition program. In the captured image or video stream, use a face detection algorithm to automatically identify and locate the face area. Perform transformations such as rotation and scaling on the detected face image to make it conform to the standard face pose. Convert the color image to a grayscale image to reduce the calculation amount and improve the processing speed. Perform filtering processing on the grayscale image to remove noise and interference information. Through operations such as contrast enhancement and sharpening, improve the clarity and recognizability of the image. In the preprocessed image, use a feature point localization algorithm to mark the key feature points of the face, such as the corners of the eyes, the corners of the mouth, the tip of the nose, etc. According to the located feature points, extract the geometric features and texture features of the face. Among them, the geometric features include the relative positions and distances between the feature points; the texture features include skin texture, color information, etc.

[0027] In this embodiment, collecting body contour data includes: capturing an image or 3D data containing the human body contour. If a camera is used, capture multiple photos at different angles to obtain complete body contour information. Perform transformations such as rotation and scaling on the captured image to make it conform to the standard human body pose; or fuse multiple photos at different angles to obtain a complete contour. Convert the color image to a grayscale image to reduce the calculation amount and improve the processing speed. Perform filtering processing on the grayscale image or 3D data (3D data in the grayscale image) to remove noise and interference information. Through operations such as contrast enhancement and sharpening (for images), or smoothing and denoising operations (for 3D data), improve the clarity and recognizability of the data. Use an image processing algorithm or 3D data processing algorithm to extract the human body contour features; for image data, an edge detection algorithm (such as Canny edge detection) can be used to extract the contour; for 3D data, a point cloud processing algorithm can be used to extract the contour features. Finally, according to the extracted contour features, describe the body contour information of the human body, where the body contour includes key dimension information such as height, shoulder width, chest circumference, waist circumference, hip circumference, etc., and descriptive information such as body shape ratio and curve features.

[0028] Step 112, detect whether the to-be-detected person image exists in a preset target image set.

[0029] In this embodiment, after the image of the person to be detected is collected, in order to ensure that a family member is performing the unlocking operation, it is further detected whether the image of the person to be detected is in the preset target image set. Specifically, an image detection algorithm is determined, and the image of the person to be detected is input into the image detection algorithm for feature extraction. For example, a deep learning model such as a convolutional neural network (CNN) is used to extract features from the image of the person to be detected. In order to improve the detection speed and reduce the false detection rate, candidate regions (i.e., regions that may contain the target) can be further generated to narrow the analysis scope.

[0030] According to the output result of the target detection algorithm, it is judged whether there is a target in the preset target image set in the image of the person to be detected. If the image of the person to be detected exists in the preset target image set, it means that the person entering the password data outside the door is a family member. Otherwise, it means that the person entering the password data outside the door is not a family member. For example, it is required that the face feature exists in the preset target image set, and the body contour feature in the image of the person to be detected is the same as the body contour feature corresponding to the face feature determined in the preset target image set, then it means that the person entering the password data outside the door is a family member.

[0031] Step 113, when the image of the person to be detected exists in the preset target image set, collect the password data to be detected in the digital recognition area.

[0032] In this embodiment, after it is determined that the person entering the password data outside the door is a family member, the digital password collection program is started, so that the person can enter the password data to be detected in the digital recognition area, that is, the intelligent home recognition lock collects the password data to be detected in the digital recognition area.

[0033] Specifically, the type of password data is clarified, and the data collection device is started to capture the password data (i.e., the password data to be detected) input in the digital recognition area. The password data to be detected can be a fingerprint password, a digital password, an iris password, etc., and no specific limitation is made here.

[0034] Step 114, detect whether the password data to be detected is the same as the target password data.

[0035] In this embodiment, the target password data is stored in the memory of the intelligent home recognition lock, that is, designed by the user. When the password data to be detected is the same as the target password data, it means that the opening password is correct, and step 115 can be executed; when the password data to be detected is different from the target password data, it means that the opening password is incorrect, and at this time, the locking operation is performed.

[0036] Step 115, when the password data to be detected is the same as the target password data, unlock the intelligent home recognition and induction lock.

[0037] It should be understood that althoughFigure 1 The steps in the flowchart are shown in sequence according to the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise clearly stated in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 at least some of the steps in Figure 1 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential either, but can be executed alternately or in turns with at least some of the sub-steps or stages of other steps.

[0038] In this embodiment, first, a person image in the image recognition area is collected, and the person image is analyzed to obtain a to-be-detected person image; it is detected whether the to-be-detected person image exists in a preset target image set, which is used to determine whether the person entering the password is a family member. When the to-be-detected person image exists in the preset target image set, then the to-be-detected password data in the digital recognition area is collected; further, it is detected whether the to-be-detected password data is the same as the target password data; when the to-be-detected password data is the same as the target password data, the smart home recognition induction lock is unlocked. This application controls the locking / unlocking of the smart home lock through a dual authentication method of person and password, which can make the home recognition induction lock more efficient, safe and convenient, so as to enhance the security and recognition accuracy of the smart home lock.

[0039] In one embodiment, before detecting whether the to-be-detected password data is the same as the target password data, the method further includes: 1-1) Calculate the collection time of collecting the to-be-detected password data in the digital recognition area.

[0040] In this embodiment, in order to further ensure that the person entering the password data is a family member, the time for entering the password data can be further restricted, that is, the collection time of collecting the to-be-detected password data. Specifically, record the start time of entering the first digital data and the end time of recording the last digital data, and calculate the collection time using the end time and the start time.

[0041] 1-2) Calculate whether the collection time is greater than a preset collection time.

[0042] In practical applications, the preset acquisition time is designed by the user and stored in the memory of the smart home recognition lock. When someone steals the password and enters the password to be tested in the digital recognition area, due to insufficient proficiency in entering the password, there will be a phenomenon of too long password entry time. Because it is necessary to further calculate whether the acquisition time is greater than the preset acquisition time. When the acquisition time is not less than the preset acquisition time, it indicates that the door lock password has been stolen; when the acquisition time is less than the preset acquisition time, it indicates that the door lock password has not been stolen.

[0043] 1-3) When the acquisition time is less than the preset acquisition time, it is detected whether the password data to be tested is the same as the target password data.

[0044] In one embodiment, the method further includes: 2-1) Set a target password data set, and each target password data in the target password data set is different.

[0045] In this embodiment, there is at least one target password data in the target data set, and each target password data in the target password data set is different, which can reduce the storage redundancy problem of the smart home recognition lock.

[0046] In practical applications, each target password data in the target data set includes temporary password data and permanent password data, which is not specifically limited here.

[0047] 2-2) Determine whether the password data to be tested exists in the target password data set.

[0048] 2-3) When the password data to be tested exists in the target password data set, it is determined that the password data to be tested is the same as the target password data.

[0049] In one embodiment, after determining that the password data to be tested is the same as the target password data, the method further includes: 3-1) Delete the password data to be tested from the target password data set to update the target password data set.

[0050] In this embodiment, when there is temporary password data in the target password data set and the input password data to be tested is the same as the temporary password data in the target password data set (that is, the password data to be tested exists in the target password data), it indicates that the current temporary password data has been used. Therefore, it is necessary to delete the temporary password data from the target password data set to update the target password data set to ensure the validity of the target password data set.

[0051] In one embodiment, after detecting whether the image of the person to be tested exists in the preset target image set, the method further includes: 4-1) When the image of the person to be measured does not exist in the preset target image set, power off the smart home recognition and induction lock.

[0052] In this embodiment, when it is determined that the person entering the password data outside the door is not a family member, the smart home recognition and induction lock is directly powered off to prevent non-family members from breaking into the room.

[0053] In one embodiment, unlocking the smart home recognition and induction lock includes: 5-1) Generate a verification success record and record the verification success time.

[0054] In this embodiment, when the measured password data input by the user outside the door is the same as the target password data, that is, the input password is correct. Although it is possible to determine whether the password data has been stolen by collecting the time, it is also possible that the stolen password data is input within the preset range (that is, when the collection time is less than the preset collection time). Therefore, in order to further prevent the measured password data from being input by a thief, for the sake of caution, a verification success record and a verification success time will be generated.

[0055] 5-2) Send the verification success record and the verification success time to the mobile terminal, and the verification success record includes the person image.

[0056] 5-3) Detect whether a lock closing instruction is received from the mobile terminal within the preset unlocking time.

[0057] When the user determines that the person entering the room is not a family member from the verification success record and the verification success time of the mobile terminal, the user issues a lock closing instruction through the mobile terminal. Then the smart home recognition and induction lock detects in real time whether a lock closing instruction is received from the mobile terminal.

[0058] 5-4) Unlocking the smart home recognition and induction lock includes: when a lock closing instruction is not received from the mobile terminal within the preset unlocking time, unlock the smart home recognition and induction lock.

[0059] In one embodiment, after calculating whether the collection time is greater than the preset collection time, the method further includes: 6-1) When the collection time is not less than the preset collection time, generate an alarm message and send the alarm message to the mobile terminal.

[0060] In this embodiment, when it is determined that the door lock password has been stolen, the smart home recognition and induction lock immediately generates an alarm message, which is used to remind the user that someone has entered the room at this time, and then sends the alarm message to the mobile terminal.

[0061] In this embodiment, the alarm information includes a person image and the acquisition time of the password data to be measured, so that the user can judge whether someone has broken into the room illegally according to the person image and the acquisition time. In one embodiment, after detecting whether the lock closing instruction sent by the mobile terminal is received within the preset unlocking time, the method further includes: 7-1) When the lock closing instruction sent by the mobile terminal is received within the preset unlocking time, lock the smart home identification and induction lock.

[0062] Embodiment 2 In this embodiment, as Figure 2 shown, a smart home identification and induction lock is provided, including: a first acquisition module 201, a first detection module 202, a second acquisition module 203, a second detection module 204, and an unlocking module 205.

[0063] The first acquisition module 201 is used to acquire a person image in the image recognition area and parse the person image to obtain a to-be-detected person image. The first detection module 202 is used to detect whether the to-be-detected person image exists in the preset target image set. The second acquisition module 203 is used to acquire the to-be-detected password data in the digital recognition area when the first detection module determines that the to-be-detected person image exists in the preset target image set. The second detection module 204 is used to detect whether the to-be-detected password data is the same as the target password data. The unlocking module 205 is used to unlock the smart home identification and induction lock when the second detection module determines that the to-be-detected password data is the same as the target password data.

[0064] In one embodiment, the smart home identification and induction lock may further include: A first calculation module, used to calculate the acquisition time of the to-be-detected password data collected in the digital recognition area.

[0065] A second calculation module, used to calculate whether the acquisition time is greater than the preset acquisition time.

[0066] A third detection module, used to detect whether the to-be-detected password data is the same as the target password data when the second calculation module determines that the acquisition time is less than the preset acquisition time.

[0067] In one embodiment, the smart home identification and induction lock may further include: A setting module, used to set a target password data set, and the target password data in the target password data set are different from each other; The second detection module 204 may include: A first judgment unit, used to judge whether the to-be-detected password data exists in the target password data set; A first determination unit, configured to determine that the password data to be measured is the same as the target password data when a first judgment unit determines that the password data to be measured exists in the target password data set.

[0068] In one embodiment, the smart home recognition and induction lock may further include: An update module, configured to delete the password data to be measured from the target password data set to update the target password data set.

[0069] In one embodiment, the smart home recognition and induction lock may further include: A first power-off module, configured to power off the smart home recognition and induction lock when a first detection module 202 determines that the to-be-detected person image does not exist in the preset target image set.

[0070] In one embodiment, the unlocking module 205 may include: A generation unit, configured to generate a verification success record and record the verification success time; A first sending unit, configured to send the verification success record and the verification success time to a mobile terminal, where the verification success record includes the person image; A first detection unit, configured to detect whether a lock closing instruction sent by the mobile terminal is received within a preset unlocking time; A second detection unit, configured to detect whether the generation time reaches the preset unlocking time when the first detection unit determines that the lock closing instruction is not received; An unlocking unit, configured to unlock the smart home recognition and induction lock when the lock closing instruction sent by the mobile terminal is not received within the preset unlocking time.

[0071] In one embodiment, the smart home recognition lock may further include: A generation module, configured to generate an alarm message and send the alarm message to the mobile terminal when a third detection unit determines that the acquisition time is not less than the preset acquisition time.

[0072] In one embodiment, the unlocking module 205 may further include: A lock closing unit, further configured to lock the smart home recognition and induction lock when the lock closing instruction sent by the mobile terminal is received within the preset unlocking time.

[0073] Embodiment III In this embodiment, a computer device is provided. As Figure 3As shown, the computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program, and a database is deployed on the non-volatile storage medium, and the database is used to store all data involved in an intelligent control method. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with other computer devices on which application software is deployed. The computer program, when executed by the processor, implements an intelligent control method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the casing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0074] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method for establishing a transport layer security protocol covert channel described in any of the above embodiments are implemented.

[0075] Embodiment 4 In this embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, an intelligent control method described in any of the above embodiments is executed.

[0076] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0077] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0078] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. An intelligent control method, characterized in that: Applied to smart home identification induction locks, including: Collecting a person image in the image recognition area, and analyzing the person image to obtain a person image to be tested; Detecting whether the image of the person to be tested is in a preset target image set; When the image of the person to be tested exists in the preset target image set, collecting the password data to be tested in the digital recognition area; Detecting whether the password data to be tested is the same as the target password data; When the password data to be tested is the same as the target password data, the smart home identification induction lock is unlocked.

2. An intelligent control method according to claim 1, characterized in that: Before detecting whether the password data to be tested is the same as the target password data, the method further includes: Calculating the acquisition time of the password data to be tested in the digital identification area; Calculating whether the acquisition time is greater than a preset acquisition time; When the collection time is less than the preset collection time, it is detected whether the password data to be tested is the same as the target password data.

3. An intelligent control method according to claim 1, characterized in that: The method further comprises: Setting a target password data set, wherein each target password data in the target password data set is different; The detecting whether the password data to be tested is the same as the target password data comprises: Determining whether the password data to be tested exists in the target password data set; When the password data to be tested exists in the target password data set, it is determined that the password data to be tested is the same as the target password data.

4. An intelligent control method according to claim 3, characterized in that: After determining that the password data to be tested is the same as the target password data, the method further includes: The password data to be tested is deleted from the target password data set to update the target password data set.

5. The intelligent control method according to claim 1, characterized in that: After detecting whether the image of the person to be detected is in the preset target image set, the method further includes: When the image of the person to be detected does not exist in the preset target image set, the smart home identification induction lock is powered off.

6. An intelligent control method according to claim 3, characterized in that: The step of unlocking the smart home identification induction lock comprises: Generate a verification success record and record the verification success time; Sending the verification success record and the verification success time to a mobile terminal, wherein the verification success record includes the person image; Detecting whether a locking instruction sent by the mobile terminal is received within a preset unlocking time; The step of unlocking the smart home identification induction lock comprises: When no locking instruction sent by the mobile terminal is received within the preset unlocking time, the smart home identification induction lock is unlocked.

7. An intelligent control method according to claim 2, characterized in that: After calculating whether the acquisition time is greater than a preset acquisition time, the method further includes: When the collection time is not less than the preset collection time, an alarm message is generated and sent to the mobile terminal.

8. An intelligent control method according to claim 6, characterized in that: After detecting whether a locking instruction sent by the mobile terminal is received within a preset unlocking time, the method further includes: When a locking instruction sent by the mobile terminal is received within a preset unlocking time, the smart home identification induction lock is locked.

9. A smart home identification induction lock, characterized in that: include: A first acquisition module is used to acquire a person image in the image recognition area and analyze the person image to obtain a person image to be tested; The first detection module is used to detect whether the image of the person to be detected exists in a preset target image set; A second acquisition module, used for acquiring the password data to be tested in the digital recognition area when the first detection module determines that the image of the person to be tested exists in the preset target image set; A second detection module is used to detect whether the password data to be tested is the same as the target password data; The unlocking module is used to unlock the smart home identification induction lock when the second detection module determines that the password data to be tested is the same as the target password data.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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