Intelligent door lock video control method and device, intelligent door lock, door and readable medium

Abstract

The embodiment of the invention discloses an intelligent door lock video control method and device, an intelligent door lock, a door and a readable medium. A specific embodiment of the method comprises the following steps: in response to image acquisition starting information of a face recognition structured light module and current video frame acquisition completion information of a corresponding video recording device, controlling the video recording device to execute an automatic video recording stopping operation, and controlling the face recognition structured light module to acquire a user image; and in response to image acquisition completion information corresponding to the user image, controlling the video recording device to execute video recording frame synchronous acquisition operation. According to the embodiment, the quality of the video frame image recorded by the intelligent door lock can be improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of smart door locks, and more particularly to a smart door lock recording control method and device, a smart door lock, a door, and a readable medium. Background Art

[0002] With the rapid development of artificial intelligence, smart door locks generally have cat-eye camera and face recognition functions. Currently, when recording through the cat-eye camera device, the cat-eye camera device and the face recognition device work simultaneously, which will cause mutual interference and result in a poor user experience.

[0003] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the Invention

[0004] The content of this disclosure is used to briefly introduce concepts that will be described in detail in the detailed description section below. The content of this disclosure is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0005] Some embodiments of the present disclosure provide a smart door lock video recording control method, device, smart door lock, door, and computer-readable medium to solve the technical problems mentioned in the above background technology section.

[0006] In a first aspect, some embodiments of the present disclosure provide a smart door lock recording control method, which includes: in response to the image acquisition start information of the face recognition structured light module and the current recording frame acquisition completion information of the corresponding recording device, controlling the above-mentioned recording device to perform an automatic recording stop operation, and controlling the above-mentioned face recognition structured light module to capture a user image; in response to the image acquisition completion information corresponding to the above-mentioned user image, controlling the above-mentioned recording device to perform a recording frame synchronization acquisition operation.

[0007] Optionally, before controlling the recording device to perform a recording frame synchronization acquisition operation in response to the image acquisition completion information corresponding to the user image, the method further includes: controlling the face recognition structured light module to perform an image acquisition exit operation in response to the image acquisition duration corresponding to the user image meeting a preset duration condition.

[0008] Optionally, the method further includes: in response to image recognition success information of any user image included in the collected user images, controlling the face recognition structured light module to execute an image collection exit operation.

[0009] Optionally, the above-mentioned control of the face recognition structured light module to collect user images includes: obtaining ambient brightness information; determining the module floodlight brightness information corresponding to the above-mentioned face recognition structured light module based on the above-mentioned ambient brightness information; controlling the module floodlight corresponding to the above-mentioned face recognition structured light module to perform a brightness adjustment operation based on the above-mentioned module floodlight brightness information, and controlling the above-mentioned face recognition structured light module to collect user images.

[0010] Optionally, controlling the above-mentioned video recording device to perform a video frame synchronous acquisition operation includes: obtaining environmental brightness information; determining the brightness information of the video floodlight corresponding to the above-mentioned video recording device based on the above-mentioned environmental brightness information; controlling the video floodlight corresponding to the above-mentioned video recording device to perform a brightness adjustment operation based on the above-mentioned video floodlight brightness information, and controlling the above-mentioned video recording device to perform a video frame synchronous acquisition operation.

[0011] Optionally, the method further includes: in response to determining that the face recognition mode has been completed, turning off the module floodlight of the face recognition structured light module, and controlling the video recording device to execute the automatic video recording mode.

[0012] In a second aspect, some embodiments of the present disclosure provide a smart door lock recording control device, which includes: a first control unit, configured to control the above-mentioned recording device to perform an automatic recording stop operation and control the above-mentioned face recognition structured light module to collect user images in response to image acquisition start information of the face recognition structured light module and current recording frame acquisition completion information of the corresponding recording device; a second control unit, configured to control the above-mentioned recording device to perform a recording frame synchronization acquisition operation in response to image acquisition completion information corresponding to the above-mentioned user image.

[0013] In a third aspect, some embodiments of the present disclosure provide a smart door lock, comprising: a door lock component; a face recognition structured light module for capturing user images; a video recording device for capturing video frame images; and a storage device storing one or more programs. When the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0014] In a fourth aspect, some embodiments of the present disclosure provide a door comprising: a door body and a smart door lock as described in the third aspect above, wherein the smart door lock is arranged on the door body.

[0015] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method described in any implementation of the first aspect is implemented.

[0016] The above-mentioned embodiments of the present disclosure have the following beneficial effects: the smart door lock recording control method according to some embodiments of the present disclosure can improve the quality of the video frame images recorded by the smart door lock. Specifically, the reason for the low image quality of some video frame images in the video frame image sequence of the smart door lock is that when the cat's eye camera device and the facial recognition device simultaneously turn on the floodlight to capture images, the door lock environment brightness is too high, and the video frame image sequence captured by the cat's eye camera device will have a high-brightness flickering phenomenon, resulting in low image quality of some video frame images in the video frame image sequence. Based on this, the smart door lock recording control method according to some embodiments of the present disclosure first controls the recording device to perform an automatic recording stop operation in response to the image capture start information of the facial recognition structured light module and the current video frame capture completion information of the corresponding recording device, and controls the facial recognition structured light module to capture the user image. Thus, when the smart door lock needs to perform facial recognition, after the recording device completes the current video frame image, it can prioritize the user image capture through the facial recognition structured light module, and the recording device can be briefly paused, thereby avoiding the need to turn on the floodlight to capture the image at the same time. Then, in response to the image acquisition completion information corresponding to the above-mentioned user image, the above-mentioned video recording device is controlled to perform a video frame synchronization acquisition operation. Thus, when the face recognition structured light module completes the acquisition of the user's face image, the video recording device can continue to acquire video frame images, so that it can work alternately with the face recognition structured light module. Also, because when the video recording device and the face recognition structured light module need to work at the same time, the video recording device can temporarily stop acquiring video frame images when the face recognition structured light module acquires the user's face image. After the face recognition structured light module completes the acquisition, the video recording device continues to acquire video frame images, thereby avoiding the phenomenon of highlight flickering in the video frame image sequence, thereby improving the quality of the video frame images recorded by the smart door lock. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0018] Figure 1 is a flow chart of some embodiments of the smart door lock video recording control method according to the present disclosure;

[0019] Figure 2 is a level signal logic diagram of a smart door lock video recording control method according to some embodiments of the present disclosure;

[0020] Figure 3 is a flow chart of other embodiments of the smart door lock video recording control method according to the present disclosure;

[0021] Figure 4 is a flow chart of some embodiments of the smart door lock video recording control device according to the present disclosure;

[0022] Figure 5 is a schematic structural diagram of a smart door lock suitable for implementing some embodiments of the present disclosure;

[0023] Figure 6 is a schematic diagram of the structure of various electronic components included in a smart door lock suitable for implementing some embodiments of the present disclosure;

[0024] Figure 7 is a schematic diagram of a door structure suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0025] The inventors discovered that when the cat's eye camera device and the face recognition device simultaneously turn on the floodlights to capture images, the brightness of the door lock environment is too high, and there will be a high-brightness flickering phenomenon in the video frame image sequence captured by the cat's eye camera device, resulting in low image quality of some video frame images in the video frame image sequence.

[0026] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of protection of the present disclosure.

[0027] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other.

[0028] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0029] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more".

[0030] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0031] Before performing the collection, storage, and use of user personal information (such as user images) involved in this disclosure, relevant organizations or individuals must fulfill their obligations, including conducting personal information security impact assessments, fulfilling their obligations to inform the personal information subjects, and obtaining the prior authorization and consent of the personal information subjects, as well as comply with relevant laws and regulations.

[0032] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0033] Figure 1 The process 100 of some embodiments of the smart door lock video recording control method according to the present disclosure is shown. The smart door lock video recording control method includes the following steps:

[0034] Step 101 , in response to the image acquisition start information of the face recognition structured light module and the current video frame acquisition completion information of the corresponding video recording device, control the video recording device to perform an automatic video stop operation, and control the face recognition structured light module to acquire a user image.

[0035] In some embodiments, the execution entity of the smart door lock recording control method (e.g., a smart door lock) can control the recording device to automatically stop recording and control the facial recognition structured light module to capture user images in response to image capture start information from the facial recognition structured light module and completion information for the current recording frame capture from the corresponding recording device. The smart door lock may include, but is not limited to, a facial recognition structured light module and a recording device. The facial recognition structured light module may be a structured light module for facial recognition. The structured light module may be a three-dimensional structured light camera. The recording device may be a device for recording. For example, the recording device may be a camera. The image capture start information may indicate the start of capturing the user image. For example, the image capture start information may be a high-level signal output by the facial recognition structured light module. The current recording frame capture completion information may indicate the completion of the video frame being captured by the recording device. For example, the current recording frame capture completion information may be "finished." The current recording frame capture completion information may also be a low-level signal output by the recording device. The automatic recording stop operation may be an operation to stop automatically capturing video frame images. It should be noted that when the automatic video recording stop operation is executed, the video recording device will not automatically trigger the high level signal repeatedly. The user image may be an image representing the user.

[0036] In some optional implementations of some embodiments, the execution entity may control the face recognition structured light module to capture user images through the following steps:

[0037] The first step is to obtain the ambient brightness information. The ambient brightness information can represent the brightness of the light in the environment outside the smart door lock. The ambient brightness information can include light intensity. The light intensity can be output by an ambient light sensor. The ambient light sensor can be set on the smart door lock. In practice, the execution entity can obtain the door lock ambient brightness information from the database or the ambient light sensor included in the smart door lock through a wired connection or a wireless connection. It should be noted that the wireless connection method can include but is not limited to 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0038] The second step is to determine the module floodlight brightness information corresponding to the above-mentioned face recognition structured light module based on the above-mentioned ambient brightness information. The above-mentioned module floodlight brightness information can represent the brightness of the module floodlight. In practice, the above-mentioned execution entity can determine the preset floodlight brightness corresponding to the light intensity included in the above-mentioned ambient brightness information as the module floodlight brightness information. The above-mentioned preset floodlight brightness can be a preset module floodlight brightness. Each preset floodlight brightness corresponds to a preset light intensity range. The above-mentioned preset light intensity range can be a preset light intensity range. The preset floodlight brightness corresponding to the light intensity included in the above-mentioned ambient brightness information can be: the preset floodlight brightness corresponding to the preset light intensity range to which the light intensity included in the above-mentioned ambient brightness information belongs.

[0039] The third step is to control the module floodlight corresponding to the facial recognition structured light module to perform a brightness adjustment operation based on the module floodlight brightness information, and to control the facial recognition structured light module to capture a user image. The brightness adjustment operation may be an operation to adjust the brightness of the module floodlight to the brightness indicated by the module floodlight brightness information.

[0040] Step 102 : In response to the image acquisition completion information corresponding to the user image, controlling the video recording device to perform a video frame synchronous acquisition operation.

[0041] In some embodiments, the execution subject may control the video recording device to perform a video frame synchronous acquisition operation in response to the image acquisition completion information corresponding to the user image. The image acquisition completion information may indicate that the user image acquisition is completed. The image acquisition completion information may be a low-level signal output by the face recognition structured light module. The video frame synchronous acquisition operation may be that when a low-level signal output by the face recognition structured light module is detected, the video recording device outputs a high-level signal to capture a video frame image. It should be noted that when performing the video frame synchronous acquisition operation, the image acquisition interval of the face recognition structured light module is the same as the video frame interval of the video recording device. The image acquisition interval may be the interval between two consecutively captured adjacent user images. The video frame interval may be the duration of one frame of the video captured by the video recording device.

[0042] In some optional implementations of some embodiments, the execution subject may control the video recording device to perform the video frame synchronous acquisition operation through the following steps:

[0043] The first step is to obtain the ambient brightness information. The ambient brightness information can represent the brightness of the light in the environment outside the smart door lock. The ambient brightness information can include light intensity. The light intensity can be output by an ambient light sensor. The ambient light sensor can be set on the smart door lock. In practice, the execution entity can obtain the door lock ambient brightness information from the database or the ambient light sensor included in the smart door lock through a wired connection or a wireless connection. It should be noted that the wireless connection method can include but is not limited to 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0044] The second step is to determine the brightness information of the recording floodlight corresponding to the recording device based on the above-mentioned ambient brightness information. The above-mentioned recording floodlight brightness information can represent the brightness of the recording floodlight. The above-mentioned recording floodlight can be a floodlight used to fill in the light for the recording device. The above-mentioned recording floodlight can be set on a smart door lock. In practice, the above-mentioned execution entity can determine the preset recording floodlight brightness corresponding to the light intensity included in the above-mentioned ambient brightness information as the recording floodlight brightness information. The above-mentioned preset recording floodlight brightness can be a preset brightness of the recording floodlight. Each preset recording floodlight brightness corresponds to a preset light intensity range. The above-mentioned preset light intensity range can be a preset light intensity range. The preset recording floodlight brightness corresponding to the light intensity included in the above-mentioned ambient brightness information can be: the preset recording floodlight brightness corresponding to the preset light intensity range to which the light intensity included in the above-mentioned ambient brightness information belongs.

[0045] The third step is to control the video floodlight corresponding to the video recording device to perform a brightness adjustment operation according to the video floodlight brightness information, and to control the video recording device to perform a video frame synchronous acquisition operation.

[0046] Optionally, the execution subject may also control the face recognition structured light module to execute an image acquisition exit operation in response to the image recognition success information of any user image included in the collected user images. The image recognition success information may indicate that the user image has been successfully recognized and does not need to be acquired again. For example, the image recognition success information may be "success". The image acquisition exit operation may be an operation to end the acquisition of user images. When the face recognition structured light module executes the image acquisition exit operation, the face recognition structured light module may continuously output a low-level signal.

[0047] Optionally, the face recognition structured light module further includes a module floodlight, wherein the module floodlight can be a floodlight for providing fill light for the face recognition structured light module to improve the quality of the collected user image.

[0048] Optionally, the execution subject may also, in response to determining that face recognition has been completed, turn off the floodlight of the face recognition structured light module and control the video recording device to execute the automatic video recording mode. The completion of the face recognition mode may be a mode that indicates that the smart door lock has completed collecting user images for face recognition. The automatic video recording mode may be a mode in which the video recording device automatically collects video frame images. When the video recording device is in the automatic video recording mode, the face recognition structured light module continuously outputs a low-level signal. As an example, it may be determined that face recognition has been completed in response to the smart door lock executing an unlocking operation. The unlocking operation may be an operation to open the smart door lock. As another example, it may be determined that face recognition has been completed in response to the low-level signal output duration of the face recognition structured light module being greater than the video frame interval duration. The low-level signal output duration may be the duration for which the face recognition structured light module continuously outputs a low-level signal.

[0049] As an example, Figure 2The level signal logic diagram of the smart door lock recording control method according to some embodiments of the present disclosure is shown. Among them, sync can be the signal output by the face recognition structured light module. Fsync can be the signal output by the recording device. VTS can be the above-mentioned video frame interval duration. Tfsync can be the time required to capture the video frame image. Tbusy can be the image capture duration. Tidel can be the time the face recognition structured light module waits (outputs a low-level signal) when the face recognition structured light module and the recording device work alternately. Tidel can be greater than Tfsync. Twait can be the time the face recognition structured light module continues to output a low-level signal while the recording device is switched to automatic recording mode.

[0050] The above-mentioned embodiments of the present disclosure have the following beneficial effects: the smart door lock recording control method according to some embodiments of the present disclosure can improve the quality of the video frame images recorded by the smart door lock. Specifically, the reason for the low image quality of some video frame images in the video frame image sequence of the smart door lock is that when the cat's eye camera device and the facial recognition device simultaneously turn on the floodlight to capture images, the door lock environment brightness is too high, and the video frame image sequence captured by the cat's eye camera device will have a high-brightness flickering phenomenon, resulting in low image quality of some video frame images in the video frame image sequence. Based on this, the smart door lock recording control method according to some embodiments of the present disclosure first controls the recording device to perform an automatic recording stop operation in response to the image capture start information of the facial recognition structured light module and the current video frame capture completion information of the corresponding recording device, and controls the facial recognition structured light module to capture the user image. Thus, when the smart door lock needs to perform facial recognition, after the recording device completes the current video frame image, it can prioritize the user image capture through the facial recognition structured light module, and the recording device can be briefly paused, thereby avoiding the need to turn on the floodlight to capture the image at the same time. Then, in response to the image acquisition completion information corresponding to the above-mentioned user image, the above-mentioned video recording device is controlled to perform a video frame synchronization acquisition operation. Thus, when the face recognition structured light module completes the acquisition of the user's face image, the video recording device can continue to acquire video frame images, so that it can work alternately with the face recognition structured light module. Also, because when the video recording device and the face recognition structured light module need to work at the same time, the video recording device can temporarily stop acquiring video frame images when the face recognition structured light module acquires the user's face image. After the face recognition structured light module completes the acquisition, the video recording device continues to acquire video frame images, thereby avoiding the phenomenon of highlight flickering in the video frame image sequence, thereby improving the quality of the video frame images recorded by the smart door lock.

[0051] Further references Figure 3, which shows a process 300 of another embodiment of the smart door lock video recording control method. The process 300 of the smart door lock video recording control method includes the following steps:

[0052] Step 301 , in response to the image acquisition start information of the face recognition structured light module and the current video frame acquisition completion information of the corresponding video recording device, control the above-mentioned video recording device to perform an automatic video recording stop operation, and control the above-mentioned face recognition structured light module to capture a user image.

[0053] In some embodiments, the specific implementation of step 301 and the resulting technical effects can be referred to Figure 1 The corresponding step 101 in the embodiments will not be described again here.

[0054] Step 302 : In response to the image acquisition duration corresponding to the user image meeting a preset duration condition, controlling the face recognition structured light module to execute an image acquisition exit operation.

[0055] In some embodiments, in response to the image acquisition duration corresponding to the above-mentioned user image meeting the preset duration condition, the above-mentioned face recognition structured light module is controlled to perform an image acquisition exit operation. The above-mentioned image acquisition duration may be the duration consumed in acquiring the user image. The above-mentioned preset duration condition may be that the above-mentioned image acquisition duration is greater than the preset frame skipping duration. The above-mentioned preset frame skipping duration may be a pre-set duration for preventing video frame skipping. For example, the above-mentioned preset frame skipping duration may be 20 milliseconds. The above-mentioned image acquisition exit operation may be an operation for ending the acquisition of the user image. When the face recognition structured light module performs the image acquisition exit operation, the face recognition structured light module may output a low-level signal.

[0056] Step 303 : In response to the image acquisition completion information corresponding to the user image, controlling the video recording device to perform a video frame synchronous acquisition operation.

[0057] In some embodiments, the specific implementation of step 303 and the resulting technical effects can be referred to Figure 1 The corresponding step 102 in the embodiments will not be described in detail here.

[0058] from Figure 3 It can be seen that Figure 1 Compared with the description of some corresponding embodiments, Figure 1 Flow 300 of the smart door lock recording control method in some corresponding embodiments embodies the step of controlling the pause duration of the recording device. Thus, the solutions described in these embodiments can forcibly interrupt user image capture to resume recording when capturing user images takes a long time, thereby reducing frame skipping in the recorded video and improving the user experience.

[0059] Further references Figure 4 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a smart door lock video control device. These device embodiments are similar to Figure 1 Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0060] like Figure 4 As shown, in some embodiments, the smart door lock recording control device 400 includes: a first control unit 401 and a second control unit 402. The first control unit 401 is configured to control the recording device to automatically stop recording and to control the face recognition structured light module to capture a user image in response to image capture start information of the face recognition structured light module and completion information of the current recording frame capture of the corresponding recording device; the second control unit 402 is configured to control the recording device to perform a synchronous recording frame capture operation in response to the image capture completion information corresponding to the user image.

[0061] It is understandable that the units recorded in the intelligent door lock video control device 400 are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 400 and the units included therein, and will not be repeated here.

[0062] Reference below Figure 5 and Figure 6 , Figure 5 A schematic structural diagram of a smart door lock 500 suitable for implementing some embodiments of the present disclosure is shown. Figure 5 A schematic structural diagram of various electronic components included in a smart door lock 600 suitable for implementing some embodiments of the present disclosure is shown. Figure 5 and Figure 6 The smart door lock shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0063] like Figure 5 As shown, Figure 5 It includes a door lock component 501, a face recognition structured light module 502 and a video recording device 503.

[0064] like Figure 6As shown, the smart door lock 600 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603. Various programs and data required for the operation of the smart door lock 600 are also stored in the RAM 603. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0065] Typically, the following devices can be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touchpad, a keyboard, a face recognition structured light module, a video recording device, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a sound playback device, a vibrator, etc.; and a communication device 609. The communication device 609 can allow the smart door lock 600 to communicate with other devices wirelessly or wired to exchange data; and a door lock component 610. Among them, the above-mentioned face recognition structured light module can be used to capture user images. The above-mentioned video recording device can be used to capture video frame images. Although Figure 6 The smart door lock 600 with various devices is shown, but it should be understood that it is not required to implement or have all the devices shown. More or fewer devices can be implemented or have instead. Figure 6 Each block shown in the figure may represent one device, or may represent multiple devices as needed.

[0066] In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from a network via the communication device 609, or installed from the storage device 608, or installed from the ROM 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of some embodiments of the present disclosure are performed.

[0067] It should be noted that the computer-readable medium described in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0068] In some embodiments, the client and server can communicate using any currently known or future developed network protocol, such as HTTP (Hypertext Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0069] The computer-readable medium may be included in the smart door lock, or may exist independently and not be incorporated into the smart door lock. The computer-readable medium carries one or more programs. When executed by the smart door lock, the smart door lock controls the video recording device to automatically stop recording and to capture a user image in response to image capture start information from the facial recognition structured light module and completion information for the current video frame capture by the corresponding video recording device. The computer-readable medium also controls the video recording device to synchronously capture video frames in response to image capture completion information for the corresponding user image.

[0070] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0071] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0072] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0073] Reference below Figure 7 , which shows a schematic diagram of the structure of a door suitable for implementing some embodiments of the present disclosure. The door includes a door body 701 and the smart door lock 702. Figure 7 As shown, the smart door lock 702 can be set on the door body 701.

[0074] The above description is only an illustration of some preferred embodiments of the present disclosure and the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A smart door lock video recording control method, comprising: In response to the image acquisition start information of the face recognition structured light module and the current video frame acquisition completion information of the corresponding video recording device, controlling the video recording device to perform an automatic video recording stop operation, and controlling the face recognition structured light module to capture a user image; In response to the image acquisition completion information corresponding to the user image, the video recording device is controlled to perform a video frame synchronous acquisition operation.

2. The method according to claim 1, wherein Before controlling the video recording device to perform a video frame synchronous capture operation in response to the image capture completion information corresponding to the user image, the method further includes: In response to the image capture time corresponding to the user image meeting a preset time condition, the face recognition structured light module is controlled to execute an image capture exit operation.

3. The method according to claim 1, wherein The method further comprises: In response to image recognition success information of any user image included in the collected user images, the face recognition structured light module is controlled to execute an image collection exit operation.

4. The method according to claim 1, wherein The controlling the face recognition structured light module to collect a user image includes: Get ambient brightness information; Determining module floodlight brightness information corresponding to the face recognition structured light module according to the ambient brightness information; According to the module floodlight brightness information, the module floodlight corresponding to the face recognition structured light module is controlled to perform a brightness adjustment operation, and the face recognition structured light module is controlled to capture a user image.

5. The method according to claim 1, wherein Controlling the video recording device to perform a video frame synchronous acquisition operation includes: Get ambient brightness information; Determining the brightness information of the video floodlight corresponding to the video recording device according to the ambient brightness information; According to the video floodlight brightness information, the video floodlight corresponding to the video recording device is controlled to perform a brightness adjustment operation, and the video recording device is controlled to perform a video frame synchronous acquisition operation.

6. The method according to any one of claims 1 to 5, wherein: The method further comprises: In response to determining that the face recognition mode has been completed, the module floodlight of the face recognition structured light module is turned off, and the video recording device is controlled to execute the automatic video recording mode.

7. A smart door lock video control device, comprising: A first control unit is configured to control the video recording device to automatically stop recording and control the video recording device to capture a user image in response to image capture start information of the face recognition structured light module and current video frame capture completion information of the corresponding video recording device; The second control unit is configured to control the video recording device to perform a video frame synchronous capture operation in response to image capture completion information corresponding to the user image.

8. A smart door lock, comprising: Door lock assembly; Facial recognition structured light module, used to collect user images; A video recording device, used for collecting video frame images; one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

9. A door, wherein The door includes: a door body and the smart door lock according to claim 8, and the smart door lock is arranged on the door body.

10. A computer-readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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