Intelligent door lock prompting method and system based on AI interaction

Abstract

The invention provides an intelligent door lock prompting method and system based on AI interaction, and the method comprises the steps: detecting a person around an intelligent door lock, awakening a data collection module arranged on the intelligent door lock to obtain environment data around the intelligent door lock, the environment data comprising pedestrian information around the intelligent door lock, surrounding environment vibration information, fingerprint information and password information; environment data is obtained and sent to the main control module, the pedestrian identity state is judged according to the user information and the environment data stored in the storage module, and the pedestrian identity state comprises a pedestrian passing state, a pedestrian abnormal state and a user unlocking state; when it is judged that the user is in the unlocking state, the intelligent door lock conducts voice prompt, and the user responds to a specified instruction to conduct unlocking; judging a pedestrian passing state, wherein the intelligent door lock is in a dormant state; when the pedestrian is judged to be in an abnormal state, the intelligent door lock gives an alarm and synchronously sends information to the user side; efficient interaction between the intelligent door lock and the user is achieved, and the use experience of the user is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to a smart door lock prompt method and system based on AI interaction. Background Art

[0002] With the continuous advancement of technology, people have higher and higher requirements for home security and convenience. Traditional door locks only have basic locking and opening functions, which cannot meet the needs of modern users for intelligent and personalized experience. In today's digital age, artificial intelligence technology has developed rapidly and has gradually been applied to various fields. AI technology has powerful data analysis and processing capabilities, and can achieve intelligent interaction, autonomous learning, and adapt to different user needs.

[0003] As an important part of home security, the development of smart door locks is also facing new opportunities and challenges. Although the smart door locks on the market have improved security and convenience to a certain extent, they still have some shortcomings. For example, the prompt function of some smart door locks is relatively simple and cannot provide personalized prompt information according to different situations; in terms of interaction with users, they lack sufficient intelligence and flexibility and cannot meet the actual needs of users well.

[0004] In addition, as people's pace of life accelerates and they pursue convenience, users hope that smart door locks can interact with them more actively and provide real-time status information and operation instructions. For example, when a user approaches the door lock, the door lock can automatically recognize and prompt the user with the current status through voice or display, such as whether it is unlocked, power status, etc. At the same time, users also hope to interact with smart door locks through simple voice commands or gesture operations to achieve functions such as quick unlocking and password setting.

[0005] In summary, in order to meet users' higher security, convenience and personalization requirements for smart door locks, it is necessary to develop a smart door lock prompt method and system based on AI interaction. This method and system will make full use of the advantages of artificial intelligence technology to achieve efficient interaction between smart door locks and users, and provide users with a better user experience. Summary of the invention

[0006] In response to the above technical problems, the present invention provides a smart door lock prompt method and system based on AI interaction, which realizes efficient interaction between the smart door lock and the user and improves the user experience.

[0007] To achieve the above object, the present invention provides the following technical solution: a smart door lock prompt method and system based on AI interaction, comprising the following steps:

[0008] Step 1: Detect whether there is anyone around the smart door lock and send the detection data to the main control module;

[0009] Step 2: When detecting that there is someone around the smart door lock, wake up the data acquisition module set on the smart door lock to obtain the surrounding environment data of the smart door lock, the environmental data includes pedestrian information around the smart door lock, surrounding environment vibration information, fingerprint information, and password information;

[0010] Step 3: Obtain the environmental data of step 2 and send it to the main control module, and determine the pedestrian identity status through the user information and environmental data stored in the storage module. The pedestrian identity status includes pedestrian passing status, pedestrian abnormal status, and user unlocking status;

[0011] Step 4: When determining that the user is unlocking the door, the smart door lock gives a voice prompt, and the user responds to the specified command to unlock the door; when determining that a pedestrian is passing by, the smart door lock is in a dormant state; when determining that the pedestrian is in an abnormal state, the smart door lock issues an alarm and simultaneously sends information to the user end.

[0012] Preferably, the pedestrian identity status determination process is as follows:

[0013] Step 1: Obtain information on whether the pedestrian's stay time around the smart door lock exceeds the preset time. If it does not exceed the preset time, the pedestrian's identity status is judged as a pedestrian passing by. If it exceeds the preset time, the environmental data is obtained through the data acquisition module;

[0014] Step 2: Obtain the environmental data obtained in step 1, and compare the environmental data with the user data in the storage module, where the user data includes face data, audio data, fingerprint data, and password data;

[0015] Step 3: When the environmental data matches any of the user data, the pedestrian identity status is determined to be user unlocking;

[0016] Step 4: When the environmental data and the user data do not match, the pedestrian's identity status is determined to be an abnormal pedestrian status.

[0017] Preferably, the smart door lock is provided with a millimeter wave radar connected to the main control module, and the millimeter wave radar is used to detect whether there are pedestrians around the smart door lock.

[0018] Preferably, the smart door lock is provided with a vibration sensor connected to the main control module. The vibration sensor detects the vibration energy of the smart door lock. When the vibration energy is greater than a predetermined energy, the smart door lock issues an alarm and simultaneously sends information to the user end.

[0019] Preferably, it includes a main control module arranged in the smart door lock, a storage module connected to the main control module, a communication module connected to the main control module, a wake-up module connected to the main control module, and a data acquisition module connected to the main control module;

[0020] The main control module is used to input data, receive data, compare data, and process data;

[0021] The storage module is used to store user data, including user face information, user audio information, user password information, and user fingerprint information;

[0022] The communication module adopts wireless transmission for wireless output and input of data;

[0023] The wake-up module is connected to the pedestrian recognition device set on the smart door lock to detect whether there are pedestrians around the smart door lock and send the detection data to the main control module;

[0024] The data acquisition module is connected to a vibration recognition unit, a face recognition unit, an audio recognition unit, a fingerprint recognition unit, and a password recognition unit arranged in the smart door lock.

[0025] Preferably, the vibration recognition unit is connected to a vibration sensor provided on the smart door lock, and the vibration sensor is used to detect abnormal vibration of the smart door lock.

[0026] Preferably, the face recognition unit is connected to a face recognition camera arranged on the smart door lock, and the face recognition camera is used to collect pedestrian face information and enter user face information.

[0027] Preferably, the audio recognition unit is connected to a sound sensor provided on the smart door lock, and the sound sensor is used to collect pedestrian audio and record user audio.

[0028] Preferably, the fingerprint recognition unit is connected to a fingerprint sensor provided on the smart door lock, and the fingerprint sensor is used to recognize fingerprints to unlock the door and enter user fingerprint information.

[0029] Preferably, the password recognition unit is connected to a display screen arranged on the smart door lock, and the display screen is used for information display, password input to unlock and enter user passwords.

[0030] The beneficial effects of the present invention are as follows: by detecting whether there are pedestrians around the smart door lock, and waking up the data acquisition module on the smart door lock to collect surrounding environment data when pedestrians are detected, the energy consumption of the smart door lock when in standby mode is reduced, the use time of the smart door lock is extended, and the identity status of pedestrians is determined when they stay around the smart door lock, which is convenient for identifying the user identity on the one hand, and for identifying abnormal pedestrians on the other hand, and when the pedestrian is determined to be in an abnormal state, the smart door lock sends an alarm and sends information to the user end, the smart door lock is convenient for real-time monitoring of the surrounding environment and abnormal state of the smart door lock, and sends an alarm and sends information to remind the user in real time, thereby improving the safety of the smart door lock, and quickly opening the door lock through the AI ​​interaction method of audio recognition and facial recognition, thereby improving the convenience of user use, realizing efficient interaction between the smart door lock and the user, and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 This is a structural schematic diagram of the smart door lock prompt method based on AI interaction proposed in the present invention.

[0033] Figure 2 This is a schematic diagram of the structure of the smart door lock reminder system based on AI interaction proposed in the present invention. DETAILED DESCRIPTION

[0034] In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the present invention is further described below in conjunction with specific embodiments and drawings, but the following embodiments are only preferred embodiments of the present invention, not all. Based on the embodiments in the implementation mode, other embodiments obtained by those skilled in the art without creative work are all within the scope of protection of the present invention.

[0035] See also Figure 1-2 , a smart door lock prompt method and system based on AI interaction, comprising the following steps:

[0036] Step 1: Detect whether there is anyone around the smart door lock and send the detection data to the main control module;

[0037] Step 2: When detecting that there is someone around the smart door lock, wake up the data acquisition module set on the smart door lock to obtain the surrounding environment data of the smart door lock, the environmental data includes pedestrian information around the smart door lock, surrounding environment vibration information, fingerprint information, and password information;

[0038] Step 3: Obtain the environmental data of step 2 and send it to the main control module, and determine the pedestrian identity status through the user information and environmental data stored in the storage module. The pedestrian identity status includes pedestrian passing status, pedestrian abnormal status, and user unlocking status;

[0039] Step 4: When determining that the user is unlocking the door, the smart door lock gives a voice prompt, and the user responds to the specified command to unlock the door; when determining that a pedestrian is passing by, the smart door lock is in a dormant state; when determining that the pedestrian is in an abnormal state, the smart door lock issues an alarm and simultaneously sends information to the user end.

[0040] The main body of the smart door lock: includes the lock cylinder, lock body, display screen and other parts. It has the locking and opening functions of a traditional door lock, and also integrates intelligent components such as sensors, processors, and communication modules.

[0041] The smart door lock is equipped with fingerprint sensors, facial recognition sensors, sound sensors, temperature sensors, vibration sensors, and millimeter-wave radars to collect user information and environmental data.

[0042] The temperature sensor is used to detect the ambient temperature.

[0043] The millimeter-wave radar is used to detect whether there is anyone around the smart door lock. When no one is around, only the millimeter-wave radar works, which reduces the standby energy consumption of the smart door lock and ensures the real-time monitoring function of the smart door lock on the surrounding environment.

[0044] The main control module is responsible for processing and analyzing the data collected by the sensors, running the AI ​​algorithm, and realizing the various functions of the smart door lock.

[0045] Communication module: supports wireless communication methods such as Bluetooth and Wi-Fi, connects with users' mobile devices or smart home systems to achieve remote control and information interaction.

[0046] Prompt device: includes display screen, voice module, indicator light, etc., used to provide various prompt information to users.

[0047] In addition to the existing password input and password display functions, the display screen also includes temperature display and information reminders;

[0048] Information reminders include daily weather reminders. For example, when going out on a rainy day, the smart door lock reminds users to bring an umbrella through the display and speaker, improving the interactive function between AI and users.

[0049] User identification and authentication: User identity is authenticated through fingerprint recognition, facial recognition, password input, etc. to ensure that only authorized users can open the door lock.

[0050] Environmental monitoring and early warning: Use sensors to monitor environmental changes around the door lock, such as abnormal vibrations, temperature changes, etc. When an abnormal situation is detected, an alarm will be issued to the user in a timely manner.

[0051] AI interactive function: Through voice recognition and speech synthesis technology, users can interact with smart door locks by voice. Users can control the door lock to open, close, set passwords and other operations through voice commands, and the door lock can also prompt users with the current status and operation guide through voice.

[0052] Remote control and management: Through the APP on the mobile device or the smart home system, users can remotely control the opening and closing of the smart door lock, view the status and history of the door lock, perform password management and user authorization, etc.

[0053] like Figure 1 As shown, when a pedestrian approaches the smart door lock, the millimeter-wave radar installed on the smart door lock is convenient for detecting the approach of pedestrians, and when the pedestrian stays around the smart door lock for more than a predetermined time, the data acquisition module is awakened to collect data about the surrounding environment of the smart door lock, and the identity status of the pedestrian is determined. When it is determined that a pedestrian is passing by, the smart door lock continues to be in standby mode to reduce energy consumption. When it is determined that the user is unlocking the door, the smart door lock issues a command, and the user directly responds to the command or enters a password or uses a fingerprint to unlock the door, which improves the way the smart door lock opens the door and the convenience of the user opening the door. When it is determined that the pedestrian is in an abnormal state, the smart door lock issues an alarm and simultaneously sends information to the user end to remind the user, and warns the user, thereby improving the security of the smart door lock, realizing efficient interaction between the smart door lock and the user, and improving the user's experience.

[0054] The pedestrian identity status determination process is as follows:

[0055] Step 1: Obtain information on whether the pedestrian's stay time around the smart door lock exceeds the preset time. If it does not exceed the preset time, the pedestrian's identity status is judged as a pedestrian passing by. If it exceeds the preset time, the environmental data is obtained through the data acquisition module;

[0056] Step 2: Obtain the environmental data obtained in step 1, and compare the environmental data with the user data in the storage module, where the user data includes face data, audio data, fingerprint data, and password data;

[0057] Step 3: When the environmental data matches any of the user data, the pedestrian identity status is determined to be user unlocking;

[0058] Step 4: When the environmental data and the user data do not match, the pedestrian's identity status is determined to be an abnormal pedestrian status.

[0059] By recording the time pedestrians stay around the smart door lock, on the one hand, it reduces the energy consumption of frequently activating the data collection module to collect pedestrian information when pedestrians pass by, and on the other hand, it improves the accuracy of the smart door lock in determining the identity status of pedestrians. When pedestrians stay around the smart door lock for too long, the environmental data is matched with the user data to ensure the accuracy of the smart door lock in determining the abnormal status of pedestrians, avoid the occurrence of erroneous judgments, and send information to the user end in a timely manner to remind users of possible security threats, thereby improving user comfort.

[0060] The smart door lock is equipped with a millimeter-wave radar connected to the main control module. The millimeter-wave radar is used to detect whether there are pedestrians around the smart door lock.

[0061] The smart door lock is equipped with a vibration sensor connected to the main control module. The vibration sensor detects the vibration energy of the smart door lock. When the vibration energy is greater than the preset energy, the smart door lock issues an alarm and simultaneously sends information to the user end.

[0062] When the vibration energy is greater than the preset energy, the data collected by the data acquisition module can be used to determine whether someone is prying the door lock, and the information is simultaneously sent to the user end to remind the user.

[0063] The vibration sensor can also detect whether the door vibrates when the user goes out. If the vibration of the door is detected after the user goes out and closes the door, the door will close normally. When the user goes out and forgets to close the door, the vibration sensor does not detect the vibration of the door, and sends information to the user in real time to remind the user that the door is not closed, so as to remind the user to close the door again.

[0064] like Figure 2 As shown, it includes a main control module arranged in the smart door lock, a storage module connected to the main control module, a communication module connected to the main control module, a wake-up module connected to the main control module, and a data acquisition module connected to the main control module;

[0065] The main control module is used to input data, receive data, compare data, and process data;

[0066] The storage module is used to store user data, including user face information, user audio information, user password information, and user fingerprint information;

[0067] The communication module adopts wireless transmission for wireless output and input of data;

[0068] The wake-up module is connected to the pedestrian recognition device set on the smart door lock to detect whether there are pedestrians around the smart door lock and send the detection data to the main control module;

[0069] The data acquisition module is connected to a vibration recognition unit, a face recognition unit, an audio recognition unit, a fingerprint recognition unit, and a password recognition unit arranged in the smart door lock.

[0070] The vibration recognition unit is connected to a vibration sensor arranged on the smart door lock, and the vibration sensor is used to detect abnormal vibration of the smart door lock.

[0071] The face recognition unit is connected to the face recognition camera set on the smart door lock, and the face recognition camera is used to collect pedestrian face information and enter user face information.

[0072] The audio recognition unit is connected to a sound sensor provided on the smart door lock, and the sound sensor is used to collect pedestrian audio and record user audio.

[0073] The fingerprint recognition unit is connected to the fingerprint sensor set on the smart door lock, and the fingerprint sensor is used to recognize fingerprints to unlock the door and enter user fingerprint information.

[0074] The password recognition unit is connected to a display screen arranged on the smart door lock, and the display screen is used for information display, password input to unlock and enter user password.

[0075] Users can enter their facial information through the face recognition camera installed on the smart door lock, recognize their voice through the sound sensor, and enter and modify their fingerprints and passwords through the fingerprint sensor and display screen.

[0076] When a user approaches the smart door lock, the door lock automatically identifies the user through the facial recognition sensor. If the user is an authorized user, the door lock will automatically unlock by voice prompting "Welcome home". If the user is an unauthorized user, the door lock will sound an alarm and send an alarm message to the user's mobile device through the APP.

[0077] When the user forgets to lock the door, the smart door lock will detect that the door is not closed through the vibration sensor and prompt the user through voice "The door is not locked, please confirm whether you need to lock the door." If the user does not respond within a certain period of time, the door lock will automatically lock the door and send a lock notification to the user's mobile device.

[0078] Users can set the password, fingerprint and other information of the smart door lock through voice commands. For example, the user can say "set the password to 123456", and the door lock will automatically set the password to the content specified by the user, and prompt the user through voice "the password is set successfully".

[0079] Smart door locks can automatically adjust the prompt mode and security level according to the user's usage habits and history. For example, if the user often returns home at night, the door lock will automatically adjust to night mode, enhance lighting and prompt effects, and improve security.

[0080] The user end can directly use the APP on the user's mobile device.

[0081] Users can remotely control the opening and closing of smart door locks and check the status and history of door locks through the APP on their mobile devices. For example, when users go out, they can check whether the door is locked through the APP and lock the door remotely if necessary. At the same time, the APP can also record the usage history of the door lock, including unlocking time, user identity and other information, which is convenient for users to manage and query. It realizes efficient interaction between smart door locks and users, providing users with a safer, more convenient and personalized usage experience.

[0082] Users can directly enter facial information, voice information, fingerprint information and password information through the user terminal, which improves user entry efficiency and provides users with a more intelligent and convenient lifestyle.

[0083] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A smart door lock prompt method based on AI interaction, characterized in that: The following steps are involved: Step 1: Detect whether there is anyone around the smart door lock and send the detection data to the main control module; Step 2: When detecting that there is someone around the smart door lock, wake up the data acquisition module set on the smart door lock to obtain the surrounding environment data of the smart door lock, the environmental data includes pedestrian information around the smart door lock, surrounding environment vibration information, fingerprint information, and password information; Step 3: Obtain the environmental data of step 2 and send it to the main control module, and determine the pedestrian identity status through the user information and environmental data stored in the storage module. The pedestrian identity status includes pedestrian passing status, pedestrian abnormal status, and user unlocking status; Step 4: When determining that the user is unlocking the door, the smart door lock gives a voice prompt, and the user responds to the specified command to unlock the door; when determining that a pedestrian is passing by, the smart door lock is in a dormant state; when determining that the pedestrian is in an abnormal state, the smart door lock issues an alarm and simultaneously sends information to the user end.

2. According to claim 1, a smart door lock prompt method based on AI interaction is characterized in that: The pedestrian identity status determination process is as follows: Step 1: Obtain information on whether the pedestrian's stay time around the smart door lock exceeds the preset time. If it does not exceed the preset time, the pedestrian's identity status is judged as a pedestrian passing by. If it exceeds the preset time, the environmental data is obtained through the data acquisition module; Step 2: Obtain the environmental data obtained in step 1, and compare the environmental data with the user data in the storage module, where the user data includes face data, audio data, fingerprint data, and password data; Step 3: When the environmental data matches any of the user data, the pedestrian identity status is determined to be user unlocking; Step 4: When the environmental data and the user data do not match, the pedestrian's identity status is determined to be an abnormal pedestrian status.

3. According to claim 1, a smart door lock prompt method based on AI interaction is characterized in that: The smart door lock is equipped with a millimeter-wave radar connected to the main control module. The millimeter-wave radar is used to detect whether there are pedestrians around the smart door lock.

4. According to claim 1, a smart door lock prompt method based on AI interaction is characterized in that: The smart door lock is equipped with a vibration sensor connected to the main control module. The vibration sensor is used to detect whether the door is closed and the user detects the vibration energy of the smart door lock. When the vibration energy is greater than the preset energy, the smart door lock will issue an alarm and simultaneously send information to the user end.

5. An AI-interactive intelligent door lock reminder system, characterized in that: It includes a main control module arranged in the smart door lock, a storage module connected to the main control module, a communication module connected to the main control module, a wake-up module connected to the main control module, and a data acquisition module connected to the main control module; The main control module is used to input data, receive data, compare data, and process data; The storage module is used to store user data, including user face information, user audio information, user password information, and user fingerprint information; The communication module adopts wireless transmission for wireless output and input of data; The wake-up module is connected to the pedestrian recognition device set on the smart door lock to detect whether there are pedestrians around the smart door lock and send the detection data to the main control module; The data acquisition module is connected to a vibration recognition unit, a face recognition unit, an audio recognition unit, a fingerprint recognition unit, and a password recognition unit arranged in the smart door lock.

6. According to claim 5, the AI ​​interactive intelligent door lock prompt system is characterized by: The vibration recognition unit is connected to a vibration sensor arranged on the smart door lock, and the vibration sensor is used to detect whether the door is closed and whether the smart door lock vibrates abnormally.

7. The AI ​​interactive smart door lock prompt system according to claim 5, characterized in that: The face recognition unit is connected to the face recognition camera set on the smart door lock, and the face recognition camera is used to collect pedestrian face information and enter user face information.

8. The AI ​​interactive smart door lock prompt system according to claim 5, characterized in that: The audio recognition unit is connected to a sound sensor provided on the smart door lock, and the sound sensor is used to collect pedestrian audio and record user audio.

9. The AI ​​interactive smart door lock prompt system according to claim 5, characterized in that: The fingerprint recognition unit is connected to the fingerprint sensor set on the smart door lock, and the fingerprint sensor is used to recognize fingerprints to unlock the door and enter user fingerprint information.

10. The AI ​​interactive intelligent door lock prompt system according to claim 5, characterized in that: The password recognition unit is connected to a display screen arranged on the smart door lock, and the display screen is used for information display, password input to unlock and enter user password.

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