Intelligent door lock based on holographic projection and control method of intelligent door lock
By projecting a virtual keyboard using a holographic projection module and combining it with multiple motion feature verifications, the problems of low security and disease transmission in traditional door locks are solved, achieving contactless, high-security smart door lock control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIANGHANG (RUDONG) TECH CO LTD
- Filing Date
- 2024-03-05
- Publication Date
- 2026-08-04
AI Technical Summary
Traditional door locks cannot meet modern security needs, electronic locks have low security and the risk of disease transmission, and the password unlocking process of smart door locks based on holographic projection is easily spied on, leading to security risks.
A holographic projection module projects a virtual keyboard onto the door. By sensing user movement characteristics and verifying multiple password inputs, combined with the projection of a backup virtual keyboard, precise identity verification and lock control are achieved.
It provides a contactless operating experience, improving user security and reliability, and avoiding security risks such as password leakage and malicious intrusion.
Smart Images
Figure CN118087974B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of door lock control technology, specifically to a smart door lock based on holographic projection and a control method for the smart door lock. Background Technology
[0002] As a crucial factor in ensuring the safety of people's property and belongings, doors not only provide access to and from homes but also protect items inside. Traditionally, doors are equipped with locks, but with continuous technological advancements, traditional locks are no longer sufficient to meet people's security needs.
[0003] In modern times, door locks based on new technologies such as electronic locks, combination locks, and fingerprint locks have emerged. However, while these new door locks bring people a new unlocking experience, they also bring new security risks or a decrease in user experience. For example, although combination locks bring people a better unlocking experience, they also bring problems such as lower security, easy theft of secrets, and the risk of disease transmission, thus failing to meet actual needs.
[0004] To address the aforementioned technical issues, engineers proposed a smart lock based on holographic projection, which projects the keypad into the void to collect passwords. While this eliminates the risk of disease transmission, the unlocking method of this lock is an explicit unlocking method that is visible to everyone, compared to traditional hidden unlocking. This means the password is exposed in the public environment, thus posing a greater security risk. Summary of the Invention
[0005] In order to overcome the above-mentioned technical problems in the prior art, the present invention provides a smart door lock based on holographic projection and a control method for the smart door lock. By using holographic projection to project the door lock keypad and performing accurate input verification, the security and reliability of door control are improved.
[0006] To achieve the above objectives, this invention provides a smart door lock based on holographic projection. The smart door lock includes: a locking component for locking or unlocking the door; a sensing component for sensing a user within a preset distance in front of the door and activating a holographic projection module based on the user's sensing information; the holographic projection module for projecting a virtual keyboard holographically within a preset space in front of the door; an input sensing module for collecting password input operations on the virtual keyboard and generating corresponding input sensing information; and a main control module connected to the input sensing module for analyzing the input sensing information and controlling the locking component to perform corresponding lock control operations based on the analysis results.
[0007] Preferably, the step of analyzing the input sensing information and controlling the lock component to perform a corresponding lock control operation based on the analysis result includes: extracting action features from the input sensing information to obtain a first action feature; determining whether the input subject corresponding to the input sensing information is a new subject based on the first action feature; if so, performing a corresponding security verification operation and performing a corresponding lock control operation based on the security verification result; otherwise, performing input password parsing on the input sensing information to generate a password parsing result and performing a corresponding lock control operation based on the password parsing result.
[0008] Preferably, determining whether the input subject corresponding to the input sensing information is a new subject based on the first action feature includes: parsing input speed features, input angle features, input height features, input frequency features, and input swaying features from the first action feature; obtaining the matching degree and similarity between the input speed feature, the input angle feature, the input height feature, the input frequency feature, and the input swaying feature and a trusted feature library, wherein the trusted feature library is generated based on the action features of a trusted subject; determining the matching degree between the first action feature and the trusted subject based on the similarity; and determining whether the input subject is a new subject based on the matching degree.
[0009] Preferably, the execution of the corresponding security verification operation includes: outputting a secondary password request; acquiring secondary input sensing information in response to the secondary password request; extracting a second action feature corresponding to the secondary input sensing information; determining whether the input subject is a new subject based on the second action feature; if so, outputting a security code request, acquiring a security code input in response to the security code request, and performing a security verification operation on the input security code; otherwise, outputting a verification result that the input subject is a trusted subject.
[0010] Preferably, the execution of the corresponding security verification operation includes: controlling the holographic projection module to holographically project a second virtual keyboard in a spare space in front of the door, wherein the spare space is located in a different position from the preset space and partially overlaps with it; acquiring second input sensing information for the second virtual keyboard; determining whether the current input subject is a new subject based on the second input sensing information; if so, outputting a security code request information, acquiring a security code input in response to the security code request information, and performing a security verification operation on the input security code; otherwise, outputting a verification result that the input subject is a trusted subject.
[0011] Preferably, determining whether the current input subject is a new subject based on the second input sensing information includes: extracting features from the second input sensing information to obtain corresponding second input speed features, second input frequency features, and second input sway features; performing similarity matching on the second input speed features, second input frequency features, and second input sway features according to a trusted feature library to obtain matching results; and determining whether the current input subject is a new subject based on the matching results.
[0012] Preferably, the holographic projection module includes: an even number of light-transmitting layers, each layer of the light-transmitting layers being stacked, each layer of the light-transmitting layers including mutually bonded transparent strips, the mutually bonded surfaces of the transparent strips and / or their opposite surfaces having a reflective surface, the reflective surface including but not limited to a vapor-deposited / deposited metal layer, or a pasted reflective film, the transparent strips of adjacent light-transmitting layers being orthogonally arranged to reflect light to realize the change of the propagation direction of the light emitted by the password display screen in the imaging module.
[0013] Preferably, the reflective surfaces of the non-edge transparent strips between the even-numbered light-transmitting layers or between the odd-numbered light-transmitting layers are not on the same plane.
[0014] Preferably, the thickness of the reflective surface ranges from 5 to 400 nm.
[0015] On the other hand, the present invention also provides a control method for a smart door lock, the control method comprising: holographically projecting a virtual keyboard in a preset space in front of the door in response to user sensing information; collecting password input operations on the virtual keyboard and generating corresponding input sensing information; analyzing the input sensing information; and controlling the lock components to perform corresponding lock control operations based on the analysis results.
[0016] The present invention has at least the following technical effects through the technical solution provided by the present invention:
[0017] On the one hand, by improving existing door control systems and adopting a holographic projection-based door lock management system, users are provided with a brand-new interactive experience and contactless door lock control functions, greatly enhancing the user experience. On the other hand, targeted security verification methods are proposed for the aforementioned smart door locks, which can effectively avoid security risks caused by password leakage or malicious intrusion, improving the security and reliability of door lock control.
[0018] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description
[0019] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:
[0020] Figure 1 This is a schematic diagram of the structure of a smart door lock based on holographic projection provided in an embodiment of the present invention;
[0021] Figure 2 This is a schematic diagram of the micromirror imaging structure in the holographic projection module provided in this embodiment of the invention;
[0022] Figure 3 This is a flowchart illustrating the specific implementation of analyzing input sensing information provided in an embodiment of the present invention;
[0023] Figure 4 This is a flowchart illustrating the specific implementation of the control method for the smart door lock provided in this embodiment of the invention.
[0024] Explanation of reference numerals in the attached figures
[0025] 100 Locking Components 200 Sensor Components
[0026] 300 Holographic Projection Module 310 Transparent Layered Body
[0027] 311 Transparent Strip 400 Input Sensing Module
[0028] 500 main control module Detailed Implementation
[0029] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.
[0030] In this invention, the terms "system" and "network" are used interchangeably. "Multiple" refers to two or more; therefore, in this invention, "multiple" can also be understood as "at least two." "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / ", unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship. Furthermore, it should be understood that in the description of this invention, terms such as "first" and "second" are used only for descriptive purposes and should not be construed as indicating or implying relative importance or order.
[0031] Please see Figure 1This invention provides a smart door lock based on holographic projection. The smart door lock includes: a lock component 100 for locking or unlocking a door (not shown); a sensing component 200 for sensing a user within a preset distance in front of the door and waking up a holographic projection module 300 based on the user sensing information; the holographic projection module 300 for holographically projecting a virtual keyboard in a preset space in front of the door; an input sensing module 400 for collecting password input operations on the virtual keyboard and generating corresponding input sensing information; and a main control module 500 connected to the input sensing module 400 for analyzing the input sensing information and controlling the lock component 100 to perform corresponding lock control operations based on the analysis results.
[0032] In one possible implementation, a holographic projection module 300 is configured for the door. When a user walks within a preset distance in front of the door, the sensing component 200 acquires the user's sensing information. In this embodiment of the invention, the sensing component 200 can be any one of an infrared sensing component, an NFC sensing component, a WiFi sensing component, an acoustic wave sensing component, an image sensing component, etc. For example, in this embodiment, the sensing component determines that a user is standing in front of the door based on the user's sensing information, and therefore controls the holographic projection module 300 to holographically project a virtual keyboard within a preset space in front of the door.
[0033] Please see Figure 2 In this embodiment of the invention, the holographic projection module 300 includes: an even number of light-transmitting laminates 310, each of which is stacked, and each of which includes mutually bonded transparent strips 311. The surfaces of the mutually bonded transparent strips and / or their opposite sides are provided with reflective surfaces. The reflective surfaces include, but are not limited to, vapor-deposited / metal layers or bonded reflective films. The transparent strips 311 of two adjacent light-transmitting laminates 310 are orthogonally arranged to form a micromirror imaging structure for reflecting light to realize the transformation of the propagation direction of light emitted from the password display screen (not shown) in the holographic projection module 300.
[0034] Preferably, in order to provide a larger and smaller number of display image units, in this embodiment of the invention, the reflective surfaces of the non-edge transparent strips 311 between each even-numbered light-transmitting layer stack 310 or between each odd-numbered light-transmitting layer stack 310 are not on the same plane. That is, the even-numbered light-transmitting layer stack 310 or between each odd-numbered light-transmitting layer stack 310 are staggered, forming a micromirror imaging structure with a larger and smaller number of display image units, thereby greatly improving the resolution and reducing system energy consumption.
[0035] In a further preferred embodiment of the invention, the thickness of the reflective surface ranges from 5 to 400 nm.
[0036] After the virtual keyboard is projected into a preset space, the user inputs a password. This input includes, but is not limited to, using fingers or tools such as a pen. For example, clicking on the spatial location corresponding to a number in the air to input the password. At this time, the input sensing module 400 collects the password input operations on the virtual keyboard in real time and generates corresponding input sensing information. This input sensing module 400 includes, but is not limited to, infrared light curtain sensors, laser scanners, and high-definition cameras.
[0037] After input sensing is performed and input sensing information is generated, the main control module 500 analyzes the input sensing information and controls the lock component 100 to perform the corresponding lock control operation based on the analysis result. For example, when it is a door lock, if the analysis result is a valid password input, the lock component 100 is controlled to perform the unlocking action.
[0038] In this embodiment of the invention, by using a holographic projection module to provide users with the operating medium for opening the door lock, users can unlock the door without touching any physical buttons, effectively preventing the spread of diseases and improving the user experience. At the same time, the password-based unlocking method eliminates the need for users to carry keys or other unlocking items, improving the convenience of unlocking and further enhancing the user experience.
[0039] However, in practical applications, the above unlocking method involves password input via a virtual keyboard exposed in public spaces. Therefore, anyone passing by could potentially eavesdrop and learn the user's password, posing a security risk. To address this technical issue, it is necessary to legally verify the identity of the user entering the password.
[0040] Please see Figure 3 In this embodiment of the invention, the step of analyzing the input sensing information and controlling the lock component 100 to perform corresponding lock control operations based on the analysis results includes:
[0041] S51) Extract motion features from the input sensing information to obtain the first motion feature;
[0042] S52) Based on the first action feature, determine whether the input subject corresponding to the input sensing information is a new subject;
[0043] S531) If so, execute the corresponding security verification operation and execute the corresponding lock control operation according to the security verification result;
[0044] S532) Otherwise, perform input password parsing on the input sensing information, generate password parsing result, and control the lock component 100 to perform corresponding lock control operation based on the password parsing result.
[0045] In one possible implementation, after acquiring the input sensing information, action feature extraction is performed. For example, feature extraction can be based on a preset action recognition algorithm, or a pre-trained action feature extraction model for password input actions can be used to extract action features from the input sensing information to obtain the corresponding first action feature. At this point, security verification is first performed. Specifically, based on the first action feature, it is determined whether the input subject corresponding to the input sensing information is a new subject.
[0046] In this embodiment of the invention, determining whether the input subject corresponding to the input sensing information is a new subject based on the first action feature includes: parsing input speed features, input angle features, input height features, input frequency features, and input swaying features from the first action feature; obtaining the matching degree and similarity between the first action feature, the input angle feature, the input height feature, the input frequency feature, and the input swaying feature and a trusted feature library, wherein the trusted feature library is generated based on the action features of trusted subjects; matching the first action feature with the trusted subject based on the similarity; and determining whether the input subject is a new subject based on the matching degree.
[0047] As will be readily apparent to those skilled in the art, unlike traditional methods of pressing keypads or clicking on a projected password screen, this invention projects a keypad into a three-dimensional space where a user inputs a password. Different users have entirely different input habits, and their input characteristics include, but are not limited to, input speed, input angle, input height, input frequency, and input swaying. Therefore, by extracting these characteristics from the input sensing information, it is possible to effectively identify whether the current user is a new user. If the user is a new user, it may be an unauthorized password input operation, such as an unauthorized intrusion caused by a legitimate user leaking their password during input or in daily life.
[0048] Specifically, after extracting the aforementioned features from the input sensing information, they are compared with the corresponding features in the trusted feature library to analyze their similarity to all corresponding features in the trusted feature library. The trusted feature library is generated based on the action features of a trusted subject. For example, in one embodiment, the trusted feature library can be entered by a trusted subject when performing a password input operation in a specific mode; in a second embodiment, the trusted feature library can also be generated by an administrator adding the new subject to the trusted subject and thus generating the corresponding trusted feature library when the current input subject is detected to be a new subject.
[0049] Based on the similarity between the aforementioned features and the trusted feature library, the matching degree between the current input subject and a trusted subject can be determined. For example, when the matching degree reaches a preset matching threshold (e.g., 80%), it can be determined that the current input subject is not a new subject, i.e., a trusted subject. At this time, the main control module 500 performs input password parsing on the input sensing information and generates the corresponding password parsing result. For example, in one application scenario, the main control module 500 determines that the password entered by the current input subject is correct based on the parsed password, and therefore controls the lock component 100 to perform the corresponding unlocking operation to open the door.
[0050] However, in practical applications, people's behavioral habits can change with changes in the surrounding environment (such as temperature), physical condition, and physiological condition. At this time, the characteristics corresponding to the password input actions of a trusted subject may change, which will lead to identification errors of the input subject.
[0051] To address this technical problem, in this embodiment of the invention, the execution of the corresponding security verification operation includes: outputting a secondary password request; acquiring secondary input sensing information in response to the secondary password request; extracting a second action feature corresponding to the secondary input sensing information; determining whether the input subject is a new subject based on the second action feature; if so, outputting a security code request, acquiring a security code input in response to the security code request, and performing a security verification operation on the input security code; otherwise, outputting a verification result that the input subject is a trusted subject.
[0052] Technicians discovered during their research that while the input characteristics of an input subject may change under different scenarios and habits—for example, the first input action after strenuous exercise may differ significantly from the recorded input action characteristics—the input action often shows a large regression on the second input. This means that by requiring the user to enter the password multiple times, a comprehensive assessment can be made to determine whether the user is a trustworthy subject. In one possible implementation, when the current input subject is initially determined to be a new subject, a secondary password request message is output. Specifically, the user is prompted to enter the password again via text, voice prompts, or other methods. At this point, secondary input sensing information in response to the secondary password request is acquired, and action feature extraction is performed again to obtain the corresponding second action feature. Then, based on this second action feature, it is determined whether the current input subject is a new subject.
[0053] If the current input subject is still determined to be a new subject at this point, it may be a malicious intruder or a new trusted subject. Therefore, a security code request message can be output to ask the input subject to further input a preset security code. Then, the main control module 500 performs security verification on the input security code. Specifically, it parses the security code entered by the user and compares it with the preset security code to determine whether the security code is correct. If it is correct, the input subject is determined to be a new trusted subject, and the verification result that the input subject is a trusted subject is output; otherwise, the verification result that the input subject is an untrusted subject is output.
[0054] In this embodiment of the invention, by employing multiple input methods, false detections caused by changes in user action characteristics during a single input are avoided, thus improving the consistency and reliability of security verification. Simultaneously, combining security codes enhances the verification capability of the input subject, effectively distinguishing between legitimate and illegitimate entities. Therefore, even if the password is leaked, it ensures that legitimate users can successfully open the door, while illegitimate users cannot, thereby significantly improving the security of door lock control.
[0055] During the application process, based on the above solutions, the technicians proposed a new concept. On the one hand, multiple password input operations at the same location may not have a significant impact on the change in the user's action characteristics, thus increasing the difficulty of distinguishing the current input subject as a trustworthy subject from multiple password input operations; on the other hand, due to the extremely limited space inside the door, the parameter configuration of the processing device configured inside the door is often also low, so the simultaneous matching of the above multiple features puts a great computational burden on the main control module 500.
[0056] To address the aforementioned technical issues, in this embodiment of the invention, the execution of the corresponding security verification operation includes: controlling the holographic projection module to holographically project a second virtual keyboard into a spare space in front of the door, wherein the spare space is located differently from the preset space and partially overlaps with it; acquiring second input sensing information for the second virtual keyboard; determining whether the current input subject is a new subject based on the second input sensing information; if so, outputting a security code request information, acquiring the security code input in response to the security code request information, and performing a security verification operation on the input security code; otherwise, outputting a verification result that the input subject is a trusted subject.
[0057] In one possible implementation, to reduce the impact of environmental or physical factors on the user's behavioral characteristics, after the current input subject is initially identified as a new subject, the holographic projection module 300 is controlled to holographically project a second virtual keyboard in a spare space in front of the door. This spare space is located in a different position from the preset space and partially overlaps with it. The second virtual keyboard can be a virtual keyboard with the same physical shape as the original virtual keyboard but in a different position, or it can be a virtual keyboard with a different physical shape. At this time, the second input sensing information of the current input subject to the second virtual keyboard is further acquired, and the input subject is further determined. Based on the determination result of the input subject, the corresponding verification result is output.
[0058] In this embodiment of the invention, determining whether the current input subject is a new subject based on the second input sensing information includes: extracting features from the second input sensing information to obtain corresponding second input speed features, second input frequency features, and second input sway features; performing similarity matching on the second input speed features, second input frequency features, and second input sway features according to a trusted feature library to obtain matching results; and determining whether the current input subject is a new subject based on the matching results.
[0059] Since the projection method of the virtual keyboard has been changed and the user is making secondary input, the input angle and input height features will inevitably be affected. Since the user's input state has already been interfered with, the remaining action features can more accurately represent the user's input features. Therefore, the aforementioned unnecessary features do not need to be analyzed, thereby reducing the amount of computation and minimizing interference.
[0060] Specifically, feature extraction is performed on the second input sensing information to obtain the corresponding second input speed features, second input frequency features, and second input sway features. Then, based on the above-mentioned second input speed features, second input frequency features, and second input sway features, similarity matching is performed with a trusted feature library to obtain the matching result between the current input subject and the trusted subject. Based on the matching result, it can be determined whether the current input subject is a new subject.
[0061] In this embodiment of the invention, when the current input subject is detected to be a new subject, the position or shape of the projected virtual keyboard is adjusted to interfere with the current state of the input subject, thereby increasing its attention and enabling it to input passwords in a manner closer to its usual input state. This reduces the impact of environmental or physical reasons on the input action characteristics and improves the verification accuracy and reliability of the input subject.
[0062] Meanwhile, by interfering with the user's state, their behavioral characteristics can be represented more accurately with fewer feature parameters, thereby reducing the amount of data required for matching analysis, reducing computational pressure, and improving recognition accuracy while meeting practical needs.
[0063] Further, please see Figure 4 This invention also provides a control method for a smart door lock, the control method comprising:
[0064] S10) In response to user sensing information, a virtual keyboard is holographically projected into a preset space in front of the door;
[0065] S20) Collect password input operations for the virtual keyboard and generate corresponding input sensing information;
[0066] S30) Analyze the input sensing information;
[0067] S40) Based on the analysis results, control the lock components to perform the corresponding lock control operations.
[0068] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention.
[0069] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.
[0070] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0071] Furthermore, various different implementations of the present invention can be combined arbitrarily, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed in the present invention.
Claims
1. A smart door lock based on holographic projection, characterized in that, The smart lock includes: Locking component (100) for locking or unlocking the door; The sensing component (200) is used to sense a user within a preset distance in front of the door and to wake up the holographic projection module (300) based on the user sensing information. The holographic projection module (300) is used to holographically project a virtual keyboard in a preset space in front of the door; An input sensing module (400) is used to collect password input operations on the virtual keyboard and generate corresponding input sensing information; The main control module (500), connected to the input sensing module (400), is used to analyze the input sensing information and control the lock component (100) to perform corresponding lock control operations based on the analysis results: extracting action features from the input sensing information to obtain a first action feature; determining whether the input subject corresponding to the input sensing information is a new subject based on the first action feature; if so, performing a corresponding security verification operation and performing a corresponding lock control operation based on the security verification result; otherwise, performing input password parsing on the input sensing information to generate a password parsing result and controlling the lock component (100) to perform a corresponding lock control operation based on the password parsing result. The execution of the corresponding security verification operation includes: controlling the holographic projection module to holographically project a second virtual keyboard in a spare space in front of the door, wherein the spare space is located in a different position from the preset space and partially overlaps with it; acquiring second input sensing information for the second virtual keyboard; and determining whether the current input subject is a new subject based on the second input sensing information. The step of determining whether the current input subject is a new subject based on the second input sensing information includes: extracting features from the second input sensing information to obtain corresponding second input speed features, second input frequency features, and second input sway features; performing similarity matching on the second input speed features, second input frequency features, and second input sway features according to a trusted feature library to obtain matching results; determining whether the current input subject is a new subject based on the matching results; if so, outputting a security code request information, obtaining a security code input in response to the security code request information, and performing a security verification operation on the input security code; otherwise, outputting a verification result that the input subject is a trusted subject.
2. The smart door lock according to claim 1, characterized in that, The step of determining whether the input subject corresponding to the input sensing information is a new subject based on the first action feature includes: The input speed feature, input angle feature, input height feature, input frequency feature, and input sway feature are extracted from the first action feature; The matching degree and similarity with the input speed feature, input angle feature, input height feature, input frequency feature, and input sway feature are obtained respectively, and the trusted feature library is generated based on the action features of a trusted subject; The matching degree between the first action feature and the trusted subject is determined based on the similarity. Based on the matching degree, it is determined whether the input subject is a new subject.
3. The smart door lock according to claim 1, characterized in that, The execution of the corresponding security verification operation includes: Output the secondary password request message; Obtain secondary input sensing information in response to the secondary password request; Extract the second action feature corresponding to the secondary input sensing information; Based on the second action feature, determine whether the input subject is a new subject; If so, output security code request information, obtain the security code input in response to the security code request information, and perform security verification operation on the input security code; Otherwise, output the verification result that the input subject is a trusted subject.
4. The smart door lock according to claim 1, characterized in that, The holographic projection module (300) includes: An even number of light-transmitting laminates (310) are stacked together. Each layer of the light-transmitting laminate contains mutually bonded transparent strips (311). The surfaces of the mutually bonded transparent strips (311) and / or their opposite sides are provided with reflective surfaces. The reflective surfaces contain vapor-deposited / deposited metal layers or bonded reflective films. The transparent strips (311) of two adjacent light-transmitting laminates (310) are orthogonally arranged to reflect light so as to realize the change of the propagation direction of the light emitted by the password display screen in the imaging module.
5. The smart door lock according to claim 4, characterized in that, The reflective surfaces of the non-edge transparent strips between even-numbered layers of light-transmitting laminate (310) or between odd-numbered layers of light-transmitting laminate (310) are not on the same plane.
6. The smart door lock according to claim 5, characterized in that, The thickness of the reflective surface ranges from 5 to 400 nm.