A hand cleaning method, an intelligent lock, and a storage medium

Abstract

The present invention discloses a hand cleaning method, an intelligent lock and a storage medium, which relate to the technical field of computer vision. In this method, when it is detected that a user enters the recognition range, the identity of the user is recognized according to the palm vein characteristics of the user. When the recognition is passed, the bacterial content of the user's palm is detected to obtain the bacterial content; a palm image of the user is acquired, and dirt in the palm image is recognized to obtain the dirt content in the palm image; a bacterial dirt detection result is generated by combining the bacterial content and the dirt content. If the bacterial dirt detection result meets a preset condition, the user's hand is cleaned. Thus, the problem that the current intelligent lock cannot automatically clean the user's hand is solved.

Description

Technical Field

[0001] This application relates to the field of computer vision technology, and particularly to a hand cleaning method, an intelligent lock, and a storage medium. Background Art

[0002] With the improvement of living quality and the development of smart home technology, the functions of intelligent locks such as smart door locks are becoming more and more powerful, so more and more consumers choose smart door locks as important devices for home entrances. Smart door locks include various identification methods, such as fingerprint identification, face recognition, and palm vein recognition, etc. The existing palm vein recognition door locks require users to hold their hands still within a certain distance range for 1 - 2 seconds, and then put down their hands to pull the handle after successful recognition. When users return home from outside, they may bring some bacteria home, and then leave the bacteria and dirt on the handle after contacting the door lock, resulting in cross - infection of bacteria on users' hands.

[0003] Due to the need for sterilization and disinfection, a multi - fingerprint intelligent lock that can automatically disinfect and clean, with the patent number CN218324321U, was disclosed in Chinese patents. It realizes the cleaning and disinfection of the fingerprint sensor by setting a fingerprint sensor and a cleaning sliding cover on the handle. In actual use, only the fingerprint module of the lock is cleaned and disinfected, and the user's hands are not cleaned and disinfected, resulting in bacteria and dirt still remaining on the user's hands after returning home.

[0004] Therefore, it is urgent to solve the problem that the current intelligent lock cannot automatically clean the user's hands. Summary of the Invention

[0005] In the embodiments of this application, a hand cleaning method, an intelligent lock, and a storage medium are provided, which can clean the user's hands, thereby avoiding bacteria and dirt on the user's hands from being brought home.

[0006] To achieve the above object, the embodiments of this application adopt the following technical solutions:

[0007] A hand cleaning method is applied to an intelligent lock. The method includes: when it is detected that a user enters the recognition range, the identity of the user is recognized according to the palm vein feature of the user. In the case of successful recognition, the bacterial content of the user's palm is detected to obtain the bacterial content;

[0008] Obtain the palm image of the user, and recognize the dirt in the palm image to obtain the dirt content in the palm image;

[0009] Generate a bacterial dirt detection result by combining the bacterial content and the dirt content. If the bacterial dirt detection result meets a preset condition, the user's hands are cleaned.

[0010] In combination with the first aspect, in a possible design, if the bacterial dirt detection result meets the preset conditions, controlling the cleaning module to clean the user's hand includes:

[0011] If the bacterial content is greater than the first threshold or the dirt content is greater than the second threshold, clean the user's hand;

[0012] If the bacterial content is greater than the third threshold and the dirt content is greater than the fourth threshold, clean the user's hand;

[0013] Wherein, the first threshold is greater than the third threshold, and the second threshold is greater than the fourth threshold.

[0014] In combination with the first aspect, in a possible design, the intelligent lock includes a sensing module, and detecting that the user enters the recognition range includes:

[0015] When the sensing module detects that the user enters the recognition range, send a first instruction to the main control module of the intelligent lock, so that the main control module controls the palm vein recognition module and the camera module deployed on the intelligent lock to be turned on.

[0016] In combination with the first aspect, in a possible design, identifying the user's identity according to the user's palm vein characteristics and, in the case of successful identification, detecting the bacterial content of the user's palm to obtain the bacterial content includes:

[0017] Identify the user's palm vein characteristics and match the palm vein with the pre-recorded template characteristics;

[0018] In the case of successful matching, detect the bacterial content of the user's palm to obtain the bacterial content.

[0019] In combination with the first aspect, in a possible design, the intelligent lock includes a driving unit, a motor, and a solution storage bottle, and cleaning the user's hand includes:

[0020] Send a second instruction to the driving unit, and the second instruction is used for the driving unit to drive the motor to rotate to press the button of the solution storage bottle, so that the solution storage bottle releases a cleaning germicide to the user's hand.

[0021] In combination with the first aspect, in a possible design, the intelligent lock includes a light source emitter and an image processing and analysis unit, and detecting the bacterial content of the user's palm to obtain the bacterial content includes:

[0022] Start the light source emitter to emit light to the palm area of the user;

[0023] The fluorescence data returned by the palm area is processed by the image processing and analysis unit to obtain a fluorescence image;

[0024] The bacteria in the fluorescence image are identified to obtain the bacteria content in the fluorescence image.

[0025] Combined with the first aspect, in a possible design, the method further includes:

[0026] Regularly generate a health report of the user according to the detection result, where the health report includes the palm health curve of the user;

[0027] Send a health indication to the user based on the palm health curve.

[0028] In a second aspect, an embodiment of the present application provides an intelligent lock, which includes:

[0029] An induction module, configured to send a first instruction to the main control module when detecting that a user enters the recognition range;

[0030] A main control module, configured to respond to the first instruction and control the palm vein recognition module and the camera module deployed on the intelligent lock to start;

[0031] The palm vein recognition module is configured to identify the identity of the user according to the palm vein characteristics of the user, and when the recognition is passed, send a third instruction to the main control module to enable the main control module to start the bacteria detection module;

[0032] The bacteria detection module is configured to detect the bacteria content of the user's palm to obtain the bacteria content;

[0033] The camera module acquires the palm image of the user and identifies the dirt in the palm image to obtain the dirt content in the palm image;

[0034] The main control module is further configured to generate a bacteria and dirt detection result by combining the bacteria content and the dirt content. If the bacteria and dirt detection result meets a preset condition, a second instruction is sent to the cleaning module;

[0035] The cleaning module is configured to clean the user's hand in response to the second instruction.

[0036] In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to execute the method of the first aspect and its possible designs by executing the computer program.

[0037] In a fourth aspect, an embodiment of the present application provides a storage medium storing a computer program, where the computer program is configured to execute the method according to the first aspect and its possible design manners when running.

[0038] Compared with the prior art, a hand cleaning method, an intelligent lock, and a storage medium provided by an embodiment of the present application are as follows. In this method, when it is detected that a user enters the recognition range, the identity of the user is recognized according to the palm vein characteristics of the user. When the recognition is passed, the bacterial content of the user's palm is detected to obtain the bacterial content; a palm image of the user is acquired, and dirt in the palm image is recognized to obtain the dirt content in the palm image; a bacterial dirt detection result is generated by combining the bacterial content and the dirt content. If the bacterial dirt detection result meets a preset condition, the user's hand is cleaned. By automatically identifying the hand hygiene status, this embodiment combines identity recognition with hand cleaning without interfering with user identity verification, reducing the user's active operation steps, thus improving the convenience and comfort of user use. The user only needs to enter the recognition range, and the intelligent lock will automatically detect and start the cleaning program according to the situation, which not only saves time but also avoids the situation that the handle is contaminated due to human negligence and untimely hand cleaning.

[0039] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more concise and understandable. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0041] Figure 1 A schematic diagram showing the hardware structure of an intelligent lock provided by an embodiment of the present application is shown;

[0042] Figure 2 A flowchart showing a hand cleaning method provided by an embodiment of the present application is shown;

[0043] Figure 3 A flowchart showing a user identity recognition method provided by an embodiment of the present application is shown;

[0044] Figure 4 A flowchart showing a bacterial detection method provided by an embodiment of the present application is shown;

[0045] Figure 5 A flowchart showing a cleaning method provided by an embodiment of the present application is shown;

[0046] Figure 6 It shows a hardware structure block diagram of a computer device provided by an embodiment of the present application;

[0047] Figure 7 It shows a schematic structural diagram of the front of a lock of an intelligent door lock provided by an embodiment of the present application;

[0048] Figure 8 It shows a schematic structural diagram of the inside of a lock of an intelligent door lock provided by an embodiment of the present application;

[0049] Figure 9 It shows a flowchart of a hand cleaning method for an intelligent door lock provided by an embodiment of the present application.

[0050] In the drawings, 101 is an induction module; 102 is a main control module; 103 is a palm vein recognition module; 104 is a bacteria detection module; 105 is a camera module; 106 is a cleaning module; 107 is other modules; 701 is a housing cover; 702 is a spray hole; 703 is a detection and recognition window; 801 is a motor; 802 is a solution storage bottle. Detailed implementation manners

[0051] To more clearly understand the purpose, technical solution and advantages of the present application, the present application will be described and explained below with reference to the drawings and embodiments.

[0052] Unless otherwise defined, the technical terms or scientific terms involved in the present application shall have the general meaning understood by those with ordinary skills in the technical field to which the present application belongs. In the present application, words such as "a", "one", "a kind of", "the", "these" and the like do not indicate a limitation in quantity, and they can be singular or plural. The terms "including", "comprising", "having" and any variants thereof involved in the present application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or device including a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent in these processes, methods, products or devices. The terms "connected", "coupled" and the like involved in the present application do not limit to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" involved in the present application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may represent: A exists alone, A and B exist simultaneously, and B exists alone. Usually, the character " / " indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third" and the like involved in the present application are only used to distinguish similar objects and do not represent a specific order for the objects.

[0053] The embodiments of the present application are applicable to unlocking scenarios where users authenticate their identities through palm vein recognition, such as unlocking cabinet locks, vehicle locks, door locks, etc. The user raises their hand and pauses for a period of time for the smart lock to recognize the user's identity. After successful recognition, the smart lock detects the dirt and bacteria information on the user's hand to obtain a detection result. The detection result includes the bacteria content and dirt content on the user's palm. When the detection result meets the preset conditions, the cleaning module deployed in the smart lock is controlled to automatically clean the user's hand. After the cleaning is completed, the user pulls the handle. When there are bacteria and dirt on the user's hand, the user does not touch the handle. After the user's hand is cleaned, the user then touches the handle. Therefore, the embodiments of the present application avoid cross-infection caused by bacteria and dirt on the user's hand remaining on the handle and also avoid pollution of the environment (such as indoor environment, objects in the cabinet, inside the vehicle, etc.) by bacteria and dirt on the user's hand after unlocking. By combining palm vein recognition, bacteria and dirt detection, and automatic hand disinfection, the problem of cross-infection caused by bacteria and dirt on the user's hand is solved more thoroughly.

[0054] The method provided by the embodiments of the present application can be applied to smart locks, including smart cabinet locks, smart vehicle locks, smart door locks, etc. It can be understood that a smart lock is a lock that replaces a traditional mechanical lock through electronic technology and intelligent control methods. In addition to palm vein recognition authentication, a smart lock can also combine technologies such as fingerprint recognition, face recognition, and voiceprint recognition to achieve user identity authentication. During the identity authentication process, the bacteria and dirt on the user's hand are detected, and whether the user's palm is clean and healthy is determined by combining the bacteria content and dirt content to reduce misjudgment. As an example, Figure 1 shows a schematic diagram of the hardware structure of a smart lock provided by the embodiments of the present application, as Figure 1 shown, the smart lock includes: an induction module 101, a main control module 102, a palm vein recognition module 103, a bacteria detection module 104, a camera module 105, a cleaning module 106, and other modules 107. Each hardware module will be described below.

[0055] The induction module 101 is used to sense whether an object enters the recognition range. If so, the induction module 101 sends a first instruction to the main control module 102. The induction module 101 may include, but is not limited to, a high-definition cat's eye camera, a radar induction module, a biometric sensor, and an environmental monitoring sensor, etc. In addition, the induction module 101 can be installed on the front panel of the smart lock (i.e., the side facing outside the lock) to capture and record outdoor information (or information outside the vehicle, outside the cabinet, etc.) in real time, such as personnel entry and exit, activity trajectories, etc.

[0056] The main control module 102 has three main functions. The first function is control and coordination, that is, it receives and processes input signals from various modules, such as user operation instructions transmitted by sensors, password keyboards, card readers, mobile phone applications (APPs), etc., and then performs corresponding processing and operations according to the preset program to coordinate the work among the various components of the intelligent lock. The second function is power management, specifically to control the power on and off of each module. For example, in response to the first instruction, it controls the palm vein recognition module 103 and the camera module 105 to power on, so that the palm vein recognition module 103 and the camera module 105 are started synchronously. The third function of the main control module 102 is security and protection, identity authentication, encryption and decryption, data storage, local communication, and so on.

[0057] The palm vein recognition module 103 is controlled by the main control module 102. By performing feature extraction processing on the palm image collected in the recognition area, the palm vein features of the user are obtained, and based on the palm vein features, it identifies whether the user's identity matches. In the case of a match, it controls the intelligent lock to open.

[0058] The bacteria detection module 104 is controlled by the main control module 102 and is used to detect the bacteria content on the user's palm. The bacteria detection module 104 includes a light source emitter and an image analysis and processing unit. The light source emitter is used to emit light to the palm area of the user, and this light causes the bacteria in the palm area to emit fluorescence. The image analysis and processing unit collects the fluorescence and forms an image, and identifies the bacteria in the fluorescence image to obtain the bacteria content in the fluorescence image.

[0059] The camera module 105 is controlled by the main control module 102 and can scan the palm for image recognition processing to detect the dirt content on the user's palm. As an example, the camera module 105 includes a cat's eye and an image processing unit.

[0060] The cleaning module 106 can clean the user's hand, and its cleaning methods include but are not limited to: spraying disinfectant, disinfection foam, hand sanitizer, irradiating ultraviolet light, etc. It should be noted that the cleaning module 106 automatically turns on when it detects that the bacteria content and dirt content on the user's hand meet the preset conditions, without the need for manual operation by the user. The cleaning process is completely automated, providing a better intelligent experience.

[0061] The other modules 107 include but are not limited to: WIFI module, Bluetooth module, voice module, fingerprint recognition module, etc. For these modules, reference can be made to the introduction of related technologies, and no redundant description will be given here.

[0062] Those of ordinary skill in the art can understand that Figure 1 The structure shown is only schematic and does not limit the structure of the intelligent lock. For example, the intelligent lock may also include more or fewer components than Figure 1 shown, or have a structure different from Figure 1The different configurations shown. By way of example and not limitation, a proximity sensing module can be added to the door body (or cabinet body), and the proximity sensing module is configured to generate a wake-up signal when a proximity object enters the sensing area, so as to control the main control module to turn on. Alternatively, other modules 107 can be reduced in the smart lock.

[0063] Taking the smart lock as an example of a smart door lock, a hand cleaning method provided by an embodiment of the present application will be described in combination with the smart door lock including the above-mentioned various modules. Figure 2 The flowchart of a hand cleaning method provided by an embodiment of the present application is shown, as Figure 2 shown, the method includes steps S201 to S204.

[0064] Step S201, when the sensing module detects that the user enters the recognition range, control the palm vein recognition module and the camera module deployed on the smart door lock to start.

[0065] The sensing module 101 can be installed on the door body or on the wall outside the door. The installation position of the sensing module 101 is based on being able to detect the entry and exit of personnel within the recognition range. The sensing module 101 can include but is not limited to a high-definition cat's eye camera, a radar sensing module, a biometric sensor, an environmental monitoring sensor, etc.

[0066] In some embodiments, the sensing module 101 includes a radar sensing module, and step S201 further includes: when the radar sensing module detects that the user enters the recognition range, send a first instruction to the main control module 102 of the smart door lock, so that the main control module 102 controls the palm vein recognition module 103 and the camera module 105 deployed on the smart door lock to turn on.

[0067] In this embodiment, the sensing module 101 is a radar sensing module. When the user (or object) approaches the smart door lock and stays for a relative time, the radar sensing module is awakened and sends a first instruction to the main control module. The first instruction is used to indicate that the user is detected to enter the recognition range.

[0068] The palm vein recognition module 103 and the camera module 105 are respectively electrically connected to the main control module. In the case of detecting the user, the palm vein recognition module 103 and the camera module 105 are in a closed state, thereby saving power. When the main control module receives the first instruction, the main control module powers on the palm vein recognition module 103 and the camera module 105 respectively, so that the palm vein recognition module 103 and the camera module 105 are controlled to turn on.

[0069] In some of these embodiments, the palm vein recognition module 103 and the camera module 105 are started simultaneously, making the processes of bacterial detection and dirt detection of the hand more synchronous. After the palm vein recognition module 103 and the camera module 105 are controlled to be turned on, the recognition of the user's identity and the recognition of dirt on the user's palm can be carried out synchronously. That is, after step S201, step S202 and step S203 can be executed respectively.

[0070] In other embodiments, after the camera module 105 is started, the dirt on the palm is not immediately recognized. Instead, after the palm vein recognition module 103 passes the user's identity verification, the dirt on the user's palm is recognized, which can reduce unnecessary image processing steps. That is to say, step S203 can be executed when the user's identity recognition is passed, so as to only recognize the dirt on the palm of the user whose identity verification is passed, in order to reduce power consumption.

[0071] Step S202: Identify the user's identity based on the user's palm vein characteristics. When the identification is passed, start the bacterial detection module to detect the bacterial content of the user's palm to obtain the bacterial content.

[0072] In this step, palm vein remote recognition is adopted, that is, the user raises the hand and stays at the detection and recognition window, and the palm vein recognition module 103 in the smart door lock recognizes the palm in the area of the detection and recognition window. When the recognition is successful, the bacterial detection module 104 will be started to detect the bacterial content of the user's palm when the user raises the hand and stays. Among them, the detection and recognition window is the area in front of the middle of the smart door lock.

[0073] In some of these embodiments, when the user raises the hand, the palm is opened and forms a roughly parallel angle with the smart door lock, so that the palm vein recognition module 103 can obtain the user's palm vein characteristics. In other embodiments, the user's hand is in a posture of loosely holding the door handle, with the palm facing the door handle, and the palm vein recognition module 103 collects a picture of the user's palm (local palm vein image) and extracts the user's palm vein characteristics from the picture of the palm. In the above two implementation methods, the user's palm does not touch the handle, so the bacteria and dirt on the user's hand will not be transferred to the handle. Therefore, only the user's hand needs to be cleaned, and there is no need to clean the handle. One-time cleaning can avoid the contamination of the handle by the bacteria and dirt on the user's hand and also prevent the user from bringing bacteria and dirt back into the room.

[0074] In some of these embodiments, as Figure 3 shown, step S202 further includes step S301 to step S302.

[0075] Step S301: Identify the user's palm vein characteristics through the palm vein recognition module and match the palm vein with the pre-recorded template characteristics.

[0076] Among them, the template feature can be set by the user on the application of the mobile terminal, and the palm vein image of the user is input as the template feature of the user.

[0077] In this step, the palm vein recognition module 103 includes an optical acquisition system, an image processing chip, and a feature extraction and storage module. The optical acquisition system emits infrared light to irradiate the palm veins. The image processing chip utilizes the absorption characteristic of hemoglobin for near-infrared rays to obtain the image of the palm vein blood vessels. The feature extraction and storage module matches the extracted palm vein features with the template features stored in the system to perform personal identity identification. Specifically, the texture of each person's palm vein blood vessels is unique, which makes the palm vein recognition technology have extremely high recognition accuracy and anti-counterfeiting performance; only need to place the palm above the recognition device, and the identity verification can be completed without contact, the operation is simple and fast, and the hygiene is good, reducing the risk of cross-infection, meeting the modern hygiene requirements; at the same time, the palm vein is hidden inside the palm and is not easy to be forged or copied. Compared with other biometric technologies, such as fingerprint recognition and face recognition, it has higher security and can effectively prevent identity theft.

[0078] Step S302, in the case of successful matching, start the bacteria detection module to detect the bacteria content of the user's palm to obtain the bacteria content.

[0079] The bacteria detection module 104 includes a light source emitter and an image processing and analysis unit, and mainly uses the optical principle to detect bacteria. Specifically, the light source emitter emits a specific light source onto the user's palm to make the bacteria on the palm emit specific fluorescence. The image processing and analysis unit calculates the bacteria content of the palm through an image recognition algorithm.

[0080] In some embodiments, as Figure 4 shown, step S302 includes steps S401 to S403.

[0081] Step S401, start the light source emitter to emit light to the palm area of the user.

[0082] Step S402, process the fluorescence data returned from the palm area through the image processing and analysis unit to obtain a fluorescence image.

[0083] Step S403, identify the bacteria in the fluorescence image to obtain the bacteria content in the fluorescence image.

[0084] In this embodiment, the fluorescence emitted by the bacteria is imaged after being processed by the image processing and analysis unit to obtain a fluorescence image. The image processing and analysis unit identifies the bacteria in the fluorescence image to obtain the bacteria content. Among them, the bacteria content can be the area ratio of the fluorescence region in the fluorescence image to the palm region. The larger the area ratio, the higher the bacteria content, indicating that the hand is dirtier; the smaller the area ratio, the lower the bacteria content, indicating that the hand is cleaner.

[0085] Through the above step S202, the embodiment of the present application identifies the user's identity. If the identification is passed, the bacteria content of the user's hand is detected, so as to determine whether the bacteria content of the user's hand exceeds the standard in the subsequent steps.

[0086] Step S203: Obtain the palm image of the user through the camera module, and identify the dirt in the palm image to obtain the dirt content in the palm image.

[0087] The camera module 105 includes a cat's eye and an image processing unit. The camera module 105 can scan the palm for image recognition processing, capture and judge whether there is dirt on the palm, so as to determine whether the dirt content of the user's hand exceeds the standard in the subsequent steps.

[0088] Step S204: Generate a bacteria and dirt detection result by combining the bacteria content and the dirt content. If the bacteria and dirt detection result meets the preset conditions, control the cleaning module to clean the user's hand.

[0089] In this step, the preset conditions are used to determine whether the bacteria and dirt on the user's hand exceed the standard. If the bacteria and dirt detection result meets the preset conditions, it means that the bacteria and dirt on the hand exceed the standard, otherwise it means that the bacteria and dirt on the hand do not exceed the standard. When the bacteria and dirt exceed the standard, clean the user's hand.

[0090] It is worth mentioning that in this step, it is considered that it is easy to cause misjudgment to determine whether the user's hand is clean only by the bacteria content or only by the dirt content. Therefore, the bacteria detection module 104 and the camera module 105 are used in combination, and the clean and healthy condition of the user's palm is determined based on the results of the two, reducing misjudgment and improving the detection accuracy.

[0091] Specifically, as Figure 5 shown, step S204 includes: step S501 to step S502.

[0092] Step S501: If the bacteria content is greater than the first threshold or the dirt content is greater than the second threshold, control the cleaning module to clean the user's hand.

[0093] Step S502: If the bacteria content is greater than the third threshold and the dirt content is greater than the fourth threshold, control the cleaning module to clean the user's hands; wherein the first threshold is greater than the third threshold, and the second threshold is greater than the fourth threshold.

[0094] It can be seen from step S502 that when it is detected that the bacteria content and the dirt content simultaneously meet the threshold, the user's hands are cleaned; otherwise, it is recorded that the user's palms are clean and healthy.

[0095] When the bacteria content is greater than the first threshold or the dirt content is greater than the second threshold, the user's hands only need to be cleaned if either condition is met.

[0096] For example, the first threshold and the second threshold may be 0.7, and the third threshold and the fourth threshold may be set to 0.3. When any value of the bacteria content and the dirt content is greater than 0.7, the user's hands are cleaned, but if the bacteria content or the dirt content is between 0.3 and 0.7, the user's hands are cleaned only when both the bacteria content and the dirt content are greater than 0.3. This method of setting two thresholds for the bacteria content and the dirt content respectively reduces the misjudgment of the cleanliness and health of the user's palms and improves the detection accuracy.

[0097] In this embodiment, the cleaning method for the user's hands includes but is not limited to: a solution storage bottle or an ultraviolet lamp is built into the smart door lock to control the solution storage bottle to spray disinfectant or disinfectant foam, or to control the ultraviolet lamp to irradiate ultraviolet rays.

[0098] As an example, the cleaning module 106 includes a driving unit, a motor, and a solution storage bottle. Controlling the cleaning module 106 to clean the user's hands includes: sending a second instruction to the driving unit, the second instruction is used for the driving unit to drive the motor to rotate to press the button of the solution storage bottle, so that the solution storage bottle releases the cleaning disinfectant to the user's hands.

[0099] In this step, the driving unit (ie, the motor) rotates and drives the push rod, so that the push rod presses the button of the solution storage bottle, causing the solution storage bottle to spray out the corresponding liquid (ie, the cleaning disinfectant).

[0100] Through the above steps S201 to S204, the embodiment of the present application provides a hand cleaning method for an intelligent door lock, which is applied to the intelligent door lock. The intelligent door lock includes an induction module 101, a palm vein recognition module 103, a camera module 105, and a bacteria detection module 104. When the induction module 101 detects that a user enters the recognition range, it controls the palm vein recognition module 103 and the camera module 105 deployed on the intelligent door lock to start. The identity of the user is recognized according to the palm vein characteristics of the user. In the case of successful recognition, the bacteria detection module 104 is started to detect the bacteria content on the user's palm to obtain the bacteria content. The palm image of the user is obtained through the camera module 105, and the dirt in the palm image is recognized to obtain the dirt content in the palm image. The bacteria dirt detection result is generated by combining the bacteria content and the dirt content. If the bacteria dirt detection result meets the preset conditions, the cleaning module 106 is controlled to clean the user's hand. In this embodiment, by automatically identifying the hand hygiene status and combining identity recognition with hand cleaning without interfering with user authentication, the active operation steps of the user are reduced, so the convenience and comfort of user use are improved. The user only needs to enter the recognition range, and the intelligent door lock will automatically detect and start the cleaning program according to the situation, which not only saves time but also avoids the situation of polluting the handle and indoor hygiene due to human negligence and failure to clean the hands in time.

[0101] The embodiment of the present application also provides a computer device. Figure 6 The hardware structure block diagram of a computer device provided by the embodiment of the present application is shown. As Figure 6 shown, the computer device may include one or more ( Figure 6 only one is shown in the figure) processors 602 and a memory 604 for storing data. The processor 602 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA. The above computer device may further include a transmission device 606 for communication functions and an input / output device 608. Those of ordinary skill in the art can understand that Figure 6 the structure shown is only schematic and does not limit the structure of the above computer device. For example, the computer device may further include more or fewer components than Figure 6 shown in the figure, or have a different configuration from Figure 6 shown in the figure.

[0102] The memory 604 can be used to store computer programs, for example, software programs and modules of application software. The processor 602 executes various functional applications and data processing by running the computer programs stored in the memory 604, that is, the above-mentioned method is implemented. The memory 604 can be used to store data, such as template features, etc. The memory 604 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 604 may further include a memory remotely disposed relative to the processor 602, and these remote memories can be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, intranet, local area network, mobile communication network, and combinations thereof.

[0103] The transmission device 606 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wireless network provided by a communication provider of the computer device. In one instance, the transmission device 606 includes a network adapter (abbreviated as NIC), which can be connected to other network devices through a base station and thus communicate with the Internet. In one instance, the transmission device 606 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0104] Optionally, in this embodiment, the above-mentioned processor can be set to execute the following steps S1 to S4 through a computer program.

[0105] S1. When the induction module detects that the user enters the recognition range, control the palm vein recognition module and the camera module deployed on the smart door lock to start.

[0106] S2. Identify the user's identity according to the user's palm vein characteristics. When the identification is passed, start the bacteria detection module to detect the bacteria content on the user's palm to obtain the bacteria content.

[0107] S3. Obtain the user's palm image through the camera module, and identify the dirt in the palm image to obtain the dirt content in the palm image.

[0108] S4. Generate a bacteria and dirt detection result by combining the bacteria content and the dirt content. If the bacteria and dirt detection result meets the preset conditions, control the cleaning module to clean the user's hand.

[0109] In the embodiment of the present application, a smart door lock is further provided, including:

[0110] The induction module 101 is configured to send a first instruction to the main control module 102 when it detects that a user enters the recognition range;

[0111] The main control module 102 is configured to, in response to the first instruction, control the palm vein recognition module 103 and the camera module 105 deployed on the intelligent door lock to start;

[0112] The palm vein recognition module 103 is configured to identify the user's identity based on the user's palm vein characteristics. When the recognition is passed, it sends a third instruction to the main control module 102 to enable the main control module 102 to start the bacteria detection module 104;

[0113] The bacteria detection module 104 is configured to detect the bacteria content on the user's palm to obtain the bacteria content;

[0114] The camera module 105 acquires the user's palm image and identifies the dirt in the palm image to obtain the dirt content in the palm image;

[0115] The main control module 102 is further configured to generate a bacteria and dirt detection result by combining the bacteria content and the dirt content. If the bacteria and dirt detection result meets the preset conditions, it sends a second instruction to the cleaning module 106;

[0116] The cleaning module 106 is configured to clean the user's hand in response to the second instruction.

[0117] Figure 7 Fig. shows a schematic structural diagram of the front of the lock of an intelligent door lock provided by an embodiment of the present application. As Figure 7 shown, the intelligent door lock includes a housing cover 701, a spray hole 702, and a detection and recognition window 703. Among them, the user places the palm at the detection and recognition window 703. The intelligent door lock performs identity recognition on the user based on the palm vein characteristics of the user's palm. When the recognition is passed, it detects the cleanliness and health level of the user's hand. If the bacteria and dirt detection result of the hand is detected to meet the preset conditions, the cleaning fungicide will be sprayed out from the spray hole 702 to clean the user's hand.

[0118] Figure 8 Fig. shows a schematic structural diagram of the inside of the lock of an intelligent door lock provided by an embodiment of the present application. As Figure 8As shown in the figure, the intelligent door lock further includes a motor 801, a solution storage bottle 802, a palm vein recognition module 103, and a bacteria detection module 104. The solution storage bottle 802 can store, including but not limited to: hand sanitizer, bactericidal disinfectant solution, etc. When the bacteria detection module 104 detects that the bacteria exceed the first threshold, the main control module will send an instruction to start the motor 801. The rotation of the motor drives the push rod to press the spray button of the solution storage bottle 802, thereby spraying the corresponding liquid. Regarding the Figure 7 and Figure 8 introductions of other hardware modules not involved in the intelligent door lock, reference can be made to Figure 1 and its related descriptions.

[0119] Next, a specific example is used to introduce the method provided by the embodiments of the present application. As Figure 9 shown, it shows a flowchart of a hand cleaning method for an intelligent door lock provided by the embodiments of the present application. The method includes:

[0120] S901. The mobile terminal APP performs disinfection spray system settings.

[0121] Specifically, the user can turn on, turn off, or set the disinfection spray function in the APP. For example, if the number of times the liquid is sprayed is set to two, the motor drives the push rod to press the spray button of the solution storage bottle 802 twice.

[0122] S902. When a person returns home, the radar detects the person approaching.

[0123] For the introduction of this step, reference can be made to step S201 above.

[0124] S903. Start the palm vein recognition module. When the palm information is successfully recognized and matched, execute step S904.

[0125] S904. Start the bacteria detection module to detect the bacteria content in the palm center.

[0126] S905. Determine whether the bacteria content is greater than the first threshold.

[0127] S906. Start the camera module to capture a palm image.

[0128] S907. Through image recognition and analysis, determine the dirt content of the corresponding person's palm.

[0129] S908. Determine whether the dirt content is greater than the second threshold.

[0130] If the bacteria content is greater than the first threshold, or the dirt content is greater than the second threshold, then execute S910; otherwise, execute S909.

[0131] If the bacteria content is greater than the third threshold and the dirt content is greater than the fourth threshold, then execute S910; otherwise, execute S911.

[0132] S910: Activate the cleaning module. After S910, execute S912.

[0133] S911: Record the information that the user's palm is clean and healthy.

[0134] S912: According to the instruction, the motor rotates to press the spray button of the solution storage bottle, and the solution stored in the bottle is sprayed out.

[0135] This instruction is equivalent to the second instruction above. After S912, execute S913.

[0136] S913: Record the information that the user's palm is not clean and healthy.

[0137] Through the method provided by S901 to S913, the intelligent door lock can not only clean the user's hand when the user unlocks the door, but also record the clean and healthy condition of the user's palm. As an example, the clean and healthy information can be transmitted to the user's mobile terminal (such as a mobile phone), and a health report is regularly generated in the APP of the mobile terminal, and the clean and healthy condition of the user's hand is presented in the form of a health curve. If the user's hand frequently shows an unclean and unhealthy condition (such as the user cleans their hand every time they unlock the door), then the user is reminded to pay attention to cleaning, maintain hygiene, wash hands frequently, etc., to reduce the spread of diseases and protect the health of themselves and their families.

[0138] In addition, in combination with the method provided in the above embodiments, a storage medium can also be provided in this embodiment to implement it. A computer program is stored on the storage medium; when the computer program is executed by a processor, it implements any one of the hand cleaning methods of the intelligent door lock in the above embodiments.

[0139] The embodiment of the present application also provides a computer program product. When the computer program product runs on a computer, it enables the computer to execute each function or step executed by the processor in the above method embodiments.

[0140] It should be understood that the specific embodiments described here are only used to explain this application, rather than to limit it. According to the embodiments provided by the present application, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection scope of the present application.

[0141] Obviously, the accompanying drawings are only some examples or embodiments of the present application. For those of ordinary skill in the art, the present application can also be applied to other similar situations based on these drawings without creative work. Additionally, it can be understood that although the work done during this development process may be complex and time-consuming, for those of ordinary skill in the art, certain design, manufacturing, or production changes based on the technical content disclosed in the present application are only conventional technical means and should not be regarded as insufficient disclosure of the present application.

[0142] The term "embodiment" in this application means that the specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The phrase appears in various positions in the specification and does not necessarily mean the same embodiment, nor does it mean being independent or alternative to other embodiments and mutually exclusive. Those of ordinary skill in the art can clearly or implicitly understand that the embodiments described in this application can be combined with other embodiments without conflict.

[0143] The above-described embodiments merely represent several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be construed as a limitation on the scope of patent protection. 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 fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for cleaning hands, characterized in that: Applied to a smart lock, the method comprises: When it is detected that a user enters the identification range, the identity of the user is identified according to the palm vein characteristics of the user, and if the identification is passed, the bacterial content of the palm of the user is detected to obtain the bacterial content; including starting a light source transmitter to emit light to the palm area of ​​the user; processing the fluorescence data returned by the palm area through an image processing and analysis unit to obtain a fluorescent image; identifying bacteria in the fluorescent image to obtain the bacterial content in the fluorescent image; wherein the smart lock includes the light source transmitter and the image processing and analysis unit; Acquire a palm image of the user, and identify dirt in the palm image to obtain the dirt content in the palm image; A bacteria and dirt detection result is generated in combination with the bacteria content and the dirt content. If the bacteria and dirt detection result meets a preset condition, the user's hands are cleaned.

2. The hand cleaning method according to claim 1, characterized in that: If the bacteria and dirt detection result meets the preset conditions, cleaning the user's hands includes: If the bacteria content is greater than a first threshold or the dirt content is greater than a second threshold, cleaning the user's hands; If the bacteria content is greater than a third threshold and the dirt content is greater than a fourth threshold, cleaning the user's hands; The first threshold is greater than the third threshold, and the second threshold is greater than the fourth threshold.

3. The hand cleaning method according to claim 1, characterized in that: The smart lock includes a sensing module, and the detection of a user entering a recognition range includes: When the sensing module detects that the user enters the recognition range, it sends a first instruction to the main control module of the smart lock, so that the main control module controls the palm vein recognition module and the camera module deployed on the smart lock to turn on.

4. The hand cleaning method according to claim 1, characterized in that: The identification of the user according to the palm vein feature of the user, and if the identification is successful, detecting the bacterial content of the palm of the user to obtain the bacterial content, includes: Identifying the palm vein features of the user and matching the palm vein features with pre-recorded template features; When the match is successful, the bacterial content of the palm of the user is detected to obtain the bacterial content.

5. The hand cleaning method according to claim 1, characterized in that: The smart lock includes a driving unit, a motor and a solution storage bottle, and the cleaning of the user's hands includes: A second instruction is sent to the driving unit, wherein the second instruction is used for the driving unit to drive the motor to rotate to press the button of the solution storage bottle, so that the solution storage bottle releases the cleaning disinfectant to the user's hand.

6. The hand cleaning method according to claim 1, characterized in that: The method further comprises: Regularly generate a health report of the user according to the detection result, wherein the health report includes a palm health curve of the user; A health reminder is sent to the user based on the palm health curve.

7. A smart lock, characterized in that: The smart lock comprises: The sensing module is configured to send a first instruction to the main control module when detecting that a user enters the recognition range; A main control module is configured to control the palm vein recognition module and the camera module deployed on the smart lock to start in response to the first instruction; The palm vein recognition module is configured to recognize the identity of the user according to the palm vein characteristics of the user, and send a third instruction to the main control module when the recognition is successful, so that the main control module starts the bacteria detection module; The bacteria detection module is configured to detect the bacteria content of the palm of the user to obtain the bacteria content; including starting the light source transmitter to emit light to the palm area of ​​the user; processing the fluorescence data returned by the palm area through the image processing and analysis unit to obtain a fluorescent image; identifying the bacteria in the fluorescent image to obtain the bacteria content in the fluorescent image; wherein the smart lock includes the light source transmitter and the image processing and analysis unit; The camera module obtains the palm image of the user, and identifies dirt in the palm image to obtain the dirt content in the palm image; The main control module is further configured to generate a bacteria and dirt detection result based on the bacteria content and the dirt content, and send a second instruction to the cleaning module if the bacteria and dirt detection result meets a preset condition; The cleaning module is configured to clean the user's hands in response to a second instruction.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the hand cleaning method according to any one of claims 1 to 6 by executing the computer instructions.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the hand cleaning method according to any one of claims 1 to 6 when executed.

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