Intelligent door lock control method and system based on face remote addition

Abstract

The invention discloses an intelligent door lock control method and system based on face remote addition, and the method comprises the steps that a mobile terminal shoots a face photo of a user needing to be added through a camera, and uploads the face photo collected in real time or the face photo collected in advance and preset information to a server; the server performs basic verification according to the face photo and the preset information, extracts and stores a key feature value of the face after the verification is passed, and issues the key feature value to the intelligent door lock; when the intelligent door lock detects a current face, the face feature value of the current face and the stored key feature value are subjected to matching degree calculation, if the matching degree is larger than a preset threshold value, it is confirmed that user identity verification is passed, and unlocking operation is completed. The remote face adding function is supported, a user can manage the door lock at any time and any place, the remote management function can be achieved, and safety and convenience can be improved.

Description

Technical Field

[0001] This invention relates to the field of smart door lock technology, and in particular to a smart door lock control method and system based on remote addition of facial recognition data. Background Technology

[0002] With the rapid development of technology and the increasing awareness of security among people, smart locks, as a high-end lock that differs from traditional mechanical locks, have been widely used in many homes and commercial establishments. Smart locks unlock using multiple methods such as passwords, fingerprints, and facial recognition, offering advantages over traditional key-based unlocking methods, including convenience, security, and strong manageability.

[0003] However, existing smart locks still have some problems: users need to actively activate the smart recognition function, which is cumbersome; the function of remote voice interaction and remote unlocking by unrelated personnel is limited; and in some special situations, such as wearing gloves in winter or wearing a mask, voice operation cannot be performed normally, affecting the user experience.

[0004] Furthermore, traditional smart locks still have shortcomings in remote management and monitoring. When users are not home, they need to provide guests with temporary passwords or unlock the lock remotely via the network, methods that pose security risks and are inconvenient. At the same time, existing smart locks typically require users to record and manage multiple passwords, which can easily lead to password leaks or forgetting, affecting security and user experience.

[0005] To address these issues, several improvements have been proposed, such as remote control via Bluetooth and QR code recognition. However, these solutions still have limitations, such as the range limitations of Bluetooth and the vulnerability of image information to leakage, thus requiring further security improvements.

[0006] Therefore, existing technologies still need to be improved and developed. Summary of the Invention

[0007] The main objective of this invention is to provide a smart door lock control method and system based on remote addition of facial recognition, which aims to solve the problems of insufficient remote management function of existing smart door locks, requiring users to actively activate the intelligent recognition function, and making it difficult to realize scenarios where door locks can be remotely managed without personally delivering keys, thus limiting user convenience and management efficiency.

[0008] To achieve the above objectives, the present invention provides a smart lock control method based on remote face recognition. This method is applied to a smart lock control system based on remote face recognition, which includes a mobile terminal, a server, and a smart lock. The smart lock control method includes the following steps: The mobile terminal takes a photo of the face of the user to be added using its camera, and uploads the real-time captured face photo or a pre-captured face photo and preset information to the server. The server performs basic verification based on the face photo and the preset information. After the verification is successful, it extracts and stores the key feature values ​​of the face and sends the key feature values ​​to the smart door lock. When the smart door lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature value. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation.

[0009] Optionally, the smart door lock control method based on remote face addition further includes, after calculating the matching degree between the facial feature values ​​of the current face and the stored key feature values: If the matching degree is not greater than the preset threshold, the user will be prompted that the face recognition is unsuccessful and a manual review button will be provided, prompting the user to view the recognition result through the mobile terminal and confirm whether it is the user's own operation; If it is confirmed that the operation was performed by the person in question, the face photo and preset information will be uploaded to the server again via the mobile terminal for verification. If it is confirmed that the operation was not performed by the user, the abnormal operation information will be recorded, and an alarm SMS and audio / video recordings will be sent to the preset emergency contact.

[0010] Optionally, the smart lock control method based on remote face addition, wherein the mobile terminal captures a facial photo of the user to be added via a camera, and uploads the real-time captured facial photo or a pre-captured facial photo along with preset information to the server, specifically including: An APP or WeChat mini-program is pre-installed on the mobile terminal, a personal account is registered and a personal password is set, and the mobile terminal establishes a communication connection with the server through the NB-IoT communication protocol. The system acquires pre-collected facial photos of users to be added, or the mobile terminal takes facial photos of users to be added via its camera, and uploads the facial photos and preset information to the server.

[0011] Optionally, in the aforementioned smart door lock control method based on remote addition of facial recognition, the preset information includes user ID, device serial number, and current timestamp.

[0012] Optionally, the smart lock control method based on remote face addition, wherein the server performs basic verification based on the face photo and the preset information, extracts and stores key feature values ​​of the face after successful verification, and sends the key feature values ​​to the smart lock, specifically including: The server performs basic verification based on the face photo, the user ID, the device serial number, and the current timestamp; Once the basic verification is passed, the server uses color photo distribution technology combined with IR camera recognition technology to extract key feature values ​​from the face photo and stores the key feature values ​​in JSON format. The key feature values ​​include face position, size, appearance features and expression features. The smart lock establishes a communication connection with the server via a Wi-Fi module, and the server sends the key feature values ​​to the smart lock for storage.

[0013] Optionally, in the aforementioned smart lock control method based on remote face addition, when the smart lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature value. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation. Specifically, this includes: When the smart door lock detects that a user is performing facial recognition at the door, the smart door lock collects the facial feature value of the current face; The smart door lock calculates the matching degree between the facial feature value of the current face and the stored key feature value, obtains the matching degree, and compares the matching degree with a preset threshold. If the matching degree is greater than the preset threshold, the user's identity verification is confirmed, and the smart door lock completes the unlocking operation according to the unlocking command.

[0014] Optionally, the smart door lock control method based on remote face addition further includes: The smart door lock detects the user's preset actions. When the smart door lock initiates smart wake-up and recognition preparation according to the preset actions, it enters the face recognition state and waits for the face recognition result.

[0015] Optionally, the smart door lock control method based on remote face addition further includes: When the server detects multiple consecutive incorrect facial recognition entries or unauthorized attempts to unlock the door, it automatically sends an alert text message and audio / video recordings to a pre-set emergency contact.

[0016] In addition, to achieve the above objectives, the present invention also provides a smart door lock control system based on remote addition of facial recognition, wherein the smart door lock control system based on remote addition of facial recognition includes: a mobile terminal, a server and a smart door lock, wherein the mobile terminal establishes a communication connection with the server through the NB-IoT communication protocol, and the smart door lock establishes a communication connection with the server through a Wi-Fi module; The mobile terminal is used to capture facial photos of users who need to be added through a camera, and upload the real-time captured facial photos or pre-captured facial photos and preset information to the server; The server is used to perform basic verification based on the face photo and the preset information. After the verification is successful, the server extracts and stores the key feature values ​​of the face and sends the key feature values ​​to the smart door lock. When the smart lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature value. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation.

[0017] Optionally, in the aforementioned smart door lock control system based on remote addition of facial recognition, the mobile terminal includes a camera, a facial recognition module, and an NB-IoT communication module. The camera and the facial recognition module are used to collect user facial information and photos, and the NB-IoT communication module is used to establish a communication connection with the server. The server includes a facial feature value extraction module, a data storage module, and a remote control module. The facial feature value extraction module is used to extract key facial feature values ​​by sending a color photo and combining it with IR camera recognition technology. The data storage module is used to store the user's basic information, facial feature values, and operation records. The remote control module is used to process remote operation commands sent by the mobile terminal and feed back the processing results to the mobile terminal. The smart door lock includes a camera module, a face recognition chip, a Wi-Fi module, and a control system. The camera module is used to collect the facial and motion information of the user in front of the smart door lock. The face recognition chip is used to perform real-time facial recognition and feature value comparison. The Wi-Fi module is used to establish a communication connection with the server. The control system is used to automatically complete the unlocking operation when a facial feature value match is detected.

[0018] In this invention, the mobile terminal captures a photo of the user's face using its camera, and uploads the real-time captured photo or a pre-captured photo along with preset information to the server. The server performs basic verification based on the face photo and the preset information. Upon successful verification, it extracts and stores key facial feature values ​​and sends these key feature values ​​to the smart lock. When the smart lock detects a face, it calculates the matching degree between the current face's facial feature values ​​and the stored key feature values. If the matching degree is greater than a preset threshold, the user's identity verification is confirmed, and the unlocking operation is completed. This invention supports remote face addition, allowing users to manage the lock anytime, anywhere, achieving both remote management and improved security and convenience. Attached Figure Description

[0019] Figure 1 This is a structural diagram of a preferred embodiment of the intelligent door lock control system based on remote face addition of the present invention; Figure 2 This is a flowchart of a preferred embodiment of the intelligent door lock control method based on remote addition of facial recognition according to the present invention; Figure 3 This is a flowchart illustrating the entire process of remotely adding a face in a preferred embodiment of the intelligent door lock control method based on remote face addition of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0021] Existing technologies for smart locks require users to actively activate the smart recognition function and cannot achieve remote management of the lock without the user personally handing over the key. Therefore, to solve these problems, this invention provides a smart lock control system based on remote face recognition, such as... Figure 1 As shown, the smart door lock control system based on remote face addition includes: a mobile terminal, a server, and a smart door lock. The mobile terminal establishes a communication connection with the server through the NB-IoT communication protocol (i.e., the NB-IoT communication module), and the smart door lock establishes a communication connection with the server through a Wi-Fi module.

[0022] Specifically, the mobile terminal is used to capture facial photos of users to be added (such as elderly people at home, guests staying at home or guesthouses) using a camera, and uploads the real-time captured facial photos or pre-captured facial photos and preset information to the server; the server is used to perform basic verification based on the facial photos and the preset information, and after successful verification, extracts and stores the key feature values ​​of the face, and sends the key feature values ​​to the smart door lock (or a smart access control device); when the smart door lock detects the current face, it calculates the matching degree between the facial feature values ​​of the current face and the stored key feature values. If the matching degree is greater than a preset threshold, the user identity verification is confirmed and the unlocking operation is completed.

[0023] The mobile terminal includes devices such as smartphones and tablets. It includes a camera, a face recognition module, and an NB-IoT communication module. The camera and face recognition module are used to collect user facial information and photos. The NB-IoT communication module is used to establish a communication connection with the server and transmit data using the NB-IoT communication protocol, enabling real-time transmission and processing of remote data. Furthermore, the mobile terminal also has an app and a WeChat mini-program, allowing users to remotely manage the smart lock.

[0024] The server includes a facial feature extraction module, a data storage module, and a remote control module. The facial feature extraction module uses a color photograph and IR camera recognition technology to extract key facial features. The data storage module stores user information, facial feature values, and operation records. The remote control module processes remote operation commands sent by the mobile terminal and feeds the processing results back to the mobile terminal. The facial feature extraction module uses a GPU-accelerated deep learning model to support real-time face detection and feature extraction. The data storage module employs a distributed storage architecture to ensure high data availability and security. The remote control module uses a high-concurrency distributed architecture to support high-concurrency remote operation processing.

[0025] The smart lock includes a camera module, a face recognition chip, a Wi-Fi module, and a control system. The camera module uses a high-definition lens and a CMOS sensor to support real-time face capture. The camera module is used to collect the facial and motion information of the user in front of the smart lock. The face recognition chip works in conjunction with the camera module to perform real-time face recognition and feature value comparison. The face recognition chip uses a deep learning algorithm to support face recognition and feature comparison. The Wi-Fi module is used to establish a communication connection with the server and uses a dedicated serial number for authentication to ensure the security and exclusivity of the connection. The control system is used to automatically complete the unlocking operation when a matching facial feature value is detected.

[0026] The smart door lock control system based on remote face addition also has a manual review mechanism. When the recognition accuracy rate is lower than a preset threshold, the smart door lock control system based on remote face addition will prompt the user to conduct a manual review. The user can view and confirm the recognition result in real time through a WeChat mini program to ensure the system's recognition accuracy.

[0027] Additionally, a sensing module can be installed on the smart lock. This module uses infrared sensors and supports simple motion sensing to detect simple user actions, such as raising or waving a hand, enabling intelligent wake-up and recognition preparation for the lock. When the sensing module is triggered, the smart lock enters face recognition mode and awaits the face recognition result. Furthermore, the smart lock control system based on remote face recognition also supports voice interaction. This system can also include a voice interaction module using a voice recognition algorithm, allowing users to perform simple lock management operations via voice commands.

[0028] The smart door lock control system based on remote face addition also includes a remote alarm function. When an abnormal situation occurs, such as multiple consecutive incorrect facial information input or illegal attempts to open the door lock, the smart door lock control system based on remote face addition will automatically send alarm text messages and audio and video recordings to preset emergency contacts.

[0029] Furthermore, based on the aforementioned smart door lock control system based on remote face addition, the preferred embodiment of the smart door lock control method based on remote face addition of the present invention, such as... Figure 2 and Figure 3 As shown, the smart door lock control method based on remote face recognition includes the following steps: Step S10: The mobile terminal takes a photo of the face of the user to be added using its camera, and uploads the real-time captured face photo or the pre-captured face photo and preset information to the server.

[0030] Specifically, an APP or WeChat mini-program is pre-installed on the mobile terminal, a personal account is registered, and a personal password is set (for example, the user downloads and installs the APP or WeChat mini-program on the mobile terminal, registers a personal account, and sets a personal password). The mobile terminal establishes a communication connection with the server through the NB-IoT communication protocol. The system acquires pre-collected facial photos of the users to be added, or the mobile terminal takes facial photos of the users to be added through its camera, and uploads the facial photos and preset information to the server. The preset information includes the user ID, device serial number, and current timestamp.

[0031] Step S20: The server performs basic verification based on the face photo and the preset information. After the verification is successful, it extracts and stores the key feature values ​​of the face and sends the key feature values ​​to the smart door lock.

[0032] Specifically, the server performs basic verification based on the facial photo, the user ID, the device serial number, and the current timestamp. After the basic verification is successful, the server's facial feature extraction module uses color photo distribution technology combined with IR camera recognition technology (e.g., the user uploads an image on the app or takes a photo to obtain a face, which is then sent to the server for processing to extract facial feature values ​​from the image, and the key feature values ​​are stored in the data storage module in JSON format, where the key feature values ​​include facial position, size, appearance features, and expression features). The smart lock establishes a communication connection with the server via a Wi-Fi module, and the server distributes the key feature values ​​to the smart lock for storage (e.g., storing the key facial feature values ​​of elderly people or guesthouse guests in the smart lock or access control system).

[0033] Step S30: When the smart door lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature value. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation.

[0034] Specifically, when the smart lock detects a user performing facial recognition at the door, it collects the facial feature values ​​of the current face. The smart lock calculates the matching degree between the current facial feature values ​​and the stored key feature values, and compares the matching degree with a preset threshold. If the matching degree is greater than the preset threshold, the user's identity verification is confirmed, and the smart lock completes the unlocking operation according to the unlocking command. For example, if 100 feature values ​​are extracted from a person's face, and the preset threshold is set to 90%, after the user is recognized at the door, the verification is considered successful if the user's face meets 90% of the feature values.

[0035] For example, after the key facial feature values ​​of the user to be added are sent to the smart lock or access control system (which needs to be connected to the network), the smart lock or access control system will then have a face. This face can then walk to the door to open it. After receiving the key facial feature values, the smart lock or access control system will store them locally, and subsequent user verification will not require a network connection. Application scenarios include: remotely adding faces for elderly family members (the elderly may not know how to operate the door lock, so their children can remotely help them add faces, which is convenient and safe); or allowing guesthouse owners to remotely manage guests without having to stand at the door to register their faces. By extracting the key feature values ​​from the facial photos, they can manage guest check-in and check-out remotely, such as setting permissions for face-based door opening times.

[0036] Furthermore, if the matching degree is not greater than a preset threshold, the user is prompted that the face recognition is unsuccessful, and a manual review button is provided, prompting the user to view the recognition result through the mobile terminal and confirm whether it is the user's operation; if it is confirmed that it is the user's operation, the user's face photo and preset information are re-uploaded to the server through the mobile terminal for verification; if it is confirmed that it is not the user's operation, the abnormal operation information is recorded, and an alarm SMS and audio / video recordings are sent to the preset emergency contact.

[0037] The smart door lock detects the user's preset actions (such as raising or waving a hand). When the smart door lock is activated for smart wake-up and recognition preparation based on the preset actions, it enters the face recognition state and waits for the face recognition result.

[0038] When the server detects multiple consecutive incorrect facial recognition entries or unauthorized attempts to unlock the door, it automatically sends an alert text message and audio / video recordings to a pre-set emergency contact.

[0039] The technical effects that this invention can bring are as follows: (1) It realizes the function of remotely adding faces and performing face recognition at the door, without requiring users to actively enable the intelligent recognition function, simplifying the operation process and improving the user experience. Users can directly take pictures or upload faces through APP, mini program or remote terminal. The front end transmits the pictures to the server, and the server automatically extracts the face feature values ​​and sends them to the door lock, which greatly reduces the user's operation burden.

[0040] (2) It provides a scenario where users can remotely manage door locks without having to personally deliver the keys, solving the problem of traditional smart door locks requiring users to personally deliver the keys. Users can perform various operations on the door lock through a remote terminal, such as unlocking, locking, and checking the status, which greatly improves user convenience and management efficiency.

[0041] (3) Using facial feature values ​​instead of traditional passwords avoids the trouble of users recording and managing multiple passwords, reduces the risk of password leakage or forgetting, and significantly improves the security of the system.

[0042] (4) By taking photos or uploading faces in real time through remote terminals and extracting feature values, combined with the intelligent processing capabilities of the server, real-time identification and recording of visitors are realized, which improves the intelligence level and security performance of door locks.

[0043] (5) The system supports the function of remotely adding faces, which allows users to manage the door lock at any time and any place, overcoming the limitation of traditional smart door locks that can only be operated within a short distance, and expanding the application scope of the system.

[0044] In summary, this invention provides a smart lock control method and system based on remote face addition. The method includes: a mobile terminal capturing a facial photo of the user to be added via a camera, and uploading the real-time captured facial photo or a pre-captured facial photo along with preset information to a server; the server performing basic verification based on the facial photo and the preset information, extracting and storing key feature values ​​of the face after successful verification, and sending the key feature values ​​to the smart lock; when the smart lock detects a current face, calculating the matching degree between the facial feature values ​​of the current face and the stored key feature values; if the matching degree is greater than a preset threshold, user authentication is confirmed, and the unlocking operation is completed. This invention supports the function of remotely adding faces, allowing users to manage the lock at any time and any location, achieving both remote management functionality and improved security and convenience.

[0045] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal that includes that element.

[0046] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.

[0047] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method for controlling a smart door lock based on remote face recognition, characterized in that, The smart lock control method based on remote face addition is applied to a smart lock control system based on remote face addition. The smart lock control system includes a mobile terminal, a server, and a smart lock. The smart lock control method based on remote face addition includes: The mobile terminal takes a photo of the face of the user to be added using its camera, and uploads the real-time captured face photo or a pre-captured face photo and preset information to the server. The server performs basic verification based on the face photo and the preset information. After the verification is successful, it extracts and stores the key feature values ​​of the face and sends the key feature values ​​to the smart door lock. When the smart door lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature value. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation.

2. The smart door lock control method based on remote face recognition as described in claim 1, characterized in that, The step of calculating the matching degree between the facial feature values ​​of the current face and the stored key feature values ​​further includes: If the matching degree is not greater than the preset threshold, the user will be prompted that the face recognition is unsuccessful and a manual review button will be provided, prompting the user to view the recognition result through the mobile terminal and confirm whether it is the user's own operation; If it is confirmed that the operation was performed by the person in question, the face photo and preset information will be uploaded to the server again via the mobile terminal for verification. If it is confirmed that the operation was not performed by the user, the abnormal operation information will be recorded, and an alarm SMS and audio / video recordings will be sent to the preset emergency contact.

3. The smart door lock control method based on remote face recognition as described in claim 1, characterized in that, The mobile terminal captures a facial photo of the user to be added via its camera, and uploads the real-time captured facial photo or a pre-captured facial photo along with preset information to the server, specifically including: An APP or WeChat mini-program is pre-installed on the mobile terminal, a personal account is registered and a personal password is set, and the mobile terminal establishes a communication connection with the server through the NB-IoT communication protocol. The system acquires pre-collected facial photos of users to be added, or the mobile terminal takes facial photos of users to be added via its camera, and uploads the facial photos and preset information to the server.

4. The smart door lock control method based on remote face recognition as described in claim 3, characterized in that, The preset information includes user ID, device serial number, and current timestamp.

5. The smart door lock control method based on remote face recognition according to claim 4, characterized in that, The server performs basic verification based on the facial photo and the preset information. After successful verification, it extracts and stores the key feature values ​​of the face, and then sends the key feature values ​​to the smart door lock. Specifically, this includes: The server performs basic verification based on the face photo, the user ID, the device serial number, and the current timestamp; Once the basic verification is passed, the server uses color photo distribution technology combined with IR camera recognition technology to extract key feature values ​​from the face photo and stores the key feature values ​​in JSON format. The key feature values ​​include face position, size, appearance features and expression features. The smart lock establishes a communication connection with the server via a Wi-Fi module, and the server sends the key feature values ​​to the smart lock for storage.

6. The smart door lock control method based on remote face recognition as described in claim 5, characterized in that, When the smart lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature values. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation, specifically including: When the smart door lock detects that a user is performing facial recognition at the door, the smart door lock collects the facial feature value of the current face; The smart door lock calculates the matching degree between the facial feature value of the current face and the stored key feature value, obtains the matching degree, and compares the matching degree with a preset threshold. If the matching degree is greater than the preset threshold, the user's identity verification is confirmed, and the smart door lock completes the unlocking operation according to the unlocking command.

7. The smart door lock control method based on remote face recognition according to claim 1, characterized in that, The smart door lock control method based on remote face addition also includes: The smart door lock detects the user's preset actions. When the smart door lock initiates smart wake-up and recognition preparation according to the preset actions, it enters the face recognition state and waits for the face recognition result.

8. The smart door lock control method based on remote face recognition according to claim 1, characterized in that, The smart door lock control method based on remote face addition also includes: When the server detects multiple consecutive incorrect facial recognition entries or unauthorized attempts to unlock the door, it automatically sends an alert text message and audio / video recordings to a pre-set emergency contact.

9. A smart door lock control system based on remote face recognition, characterized in that, The smart door lock control system based on remote addition of facial recognition includes: a mobile terminal, a server, and a smart door lock. The mobile terminal establishes a communication connection with the server through the NB-IoT communication protocol, and the smart door lock establishes a communication connection with the server through a Wi-Fi module. The mobile terminal is used to capture facial photos of users who need to be added through a camera, and upload the real-time captured facial photos or pre-captured facial photos and preset information to the server; The server is used to perform basic verification based on the face photo and the preset information. After the verification is successful, the server extracts and stores the key feature values ​​of the face and sends the key feature values ​​to the smart door lock. When the smart lock detects a current face, it calculates the matching degree between the facial feature value of the current face and the stored key feature value. If the matching degree is greater than a preset threshold, it confirms that the user's identity verification is successful and completes the unlocking operation.

10. The intelligent door lock control system based on remote face addition according to claim 9, characterized in that, The mobile terminal includes a camera, a face recognition module, and an NB-IoT communication module. The camera and the face recognition module are used to collect user face information and photos, and the NB-IoT communication module is used to establish a communication connection with the server. The server includes a facial feature value extraction module, a data storage module, and a remote control module. The facial feature value extraction module is used to extract key facial feature values ​​by sending a color photo and combining it with IR camera recognition technology. The data storage module is used to store the user's basic information, facial feature values, and operation records. The remote control module is used to process remote operation commands sent by the mobile terminal and feed back the processing results to the mobile terminal. The smart door lock includes a camera module, a face recognition chip, a Wi-Fi module, and a control system. The camera module is used to collect the facial and motion information of the user in front of the smart door lock. The face recognition chip is used to perform real-time facial recognition and feature value comparison. The Wi-Fi module is used to establish a communication connection with the server. The control system is used to automatically complete the unlocking operation when a facial feature value match is detected.

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