CN114967490A - Household scene control method and device, intelligent door lock and control system - Google Patents
Household scene control method and device, intelligent door lock and control system Download PDFInfo
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- G05B15/02—Systems controlled by a computer electric
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention provides a home scene control method, a home scene control device, an intelligent door lock and a control system, wherein the method is applied to the intelligent door lock with a camera device, and comprises the following steps: acquiring a gesture image acquired by the intelligent camera device; recognizing the gesture image to obtain a gesture recognition result; determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode; and determining at least one target device and target device parameters corresponding to the target home scene mode based on the corresponding relation among the preset home scene mode, the device and the device parameters, and generating and sending a control instruction. The method provided by the invention can complete the setting of the home scene mode according to the user requirement before the user opens the door, does not need to operate by other terminals, does not need to contact with the door lock, is convenient and quick, can improve the user experience, and deepens the contact between the intelligent door lock and the intelligent home control.
Description
Technical Field
The application relates to the technical field of intelligent home, in particular to a home scene control method and device, an intelligent door lock and a control system.
Background
With the development of the internet of things technology, the form of the smart home is more and more diversified. However, most of the smart home modes are adjusted by means of mobile terminals such as mobile phones, and the use is cumbersome.
On the other hand, the intelligent door lock linkage intelligent home can only be in linkage leaving mode and returning mode usually, and the form is monotonous, can not be close to the user demand, and the user experience is not good.
Disclosure of Invention
The application relates to a home scene control method, a home scene control device, an intelligent door lock and a home scene control system, which can improve the convenience of switching an intelligent home scene and improve the user experience.
The technical scheme is as follows:
on one hand, the method for controlling the home scene is applied to an intelligent door lock, the intelligent door lock is provided with an intelligent camera device, and the method comprises the following steps:
acquiring a gesture image acquired by the intelligent camera device;
recognizing the gesture image to obtain a gesture recognition result;
determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode;
determining at least one target device and target device parameters corresponding to the target home scene mode based on the corresponding relation among the preset home scene mode, the device and the device parameters, and generating and sending a control instruction so that the at least one target device is linked in the target home scene mode according to the target device parameters.
In another aspect, a home scene control apparatus is provided, the apparatus including:
the gesture image acquisition module is used for acquiring a gesture image acquired by the intelligent camera device;
the gesture recognition module is used for recognizing the gesture image to obtain a gesture recognition result;
the target home scene determining module is used for determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode;
and the control instruction sending module is used for determining at least one target device and target device parameters corresponding to the target home scene mode based on the preset corresponding relation among the home scene mode, the device and the device parameters, and generating and sending a control instruction so as to enable the at least one target device to be linked in the target home scene mode according to the target device parameters.
In another aspect, a computer device is provided, where the computer device includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the processor may load and execute the at least one instruction, the at least one program, the code set, or the instruction set to implement the home scenario control method provided in the foregoing application embodiment.
On the other hand, an intelligence lock is provided, its characterized in that includes:
a computer device as described above; and
and the intelligent camera device is connected with the processor of the computer equipment and at least used for acquiring the gesture image.
On the other hand, a home scene control system is provided, which is characterized by comprising:
the intelligent door lock as described above; and
and the intelligent central control equipment is used for receiving the control instruction and controlling the at least one target equipment to be linked in the target household scene mode according to the target equipment parameters according to the control instruction.
In another aspect, a computer-readable storage medium is provided, where at least one instruction, at least one program, a code set, or an instruction set is stored in the computer-readable storage medium, and the processor may load and execute the at least one instruction, the at least one program, the code set, or the instruction set to implement the home scenario control method provided in the embodiment of the present application.
In another aspect, a computer program product or computer program is provided, the computer program title or computer program comprising computer program instructions stored in a computer readable storage medium. The processor reads the computer instruction from the computer readable storage medium, and executes the computer instruction, so that the computer device executes the home scene control method in any one of the above embodiments.
The beneficial effect that technical scheme that this application provided brought includes at least: the embodiment of the invention provides a home scene control method, which is applied to an intelligent door lock, wherein the intelligent door lock is provided with an intelligent camera device, and the method comprises the following steps: acquiring a gesture image acquired by the intelligent camera device; recognizing the gesture image to obtain a gesture recognition result; determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode; determining at least one target device and target device parameters corresponding to the target home scene mode based on the corresponding relation among the preset home scene mode, the device and the device parameters, and generating and sending a control instruction so that the at least one target device is linked in the target home scene mode according to the target device parameters. The home scene control method provided by the embodiment of the invention can complete the setting of the home scene mode according to the user requirement when the user opens the door, does not need to use other terminals or APP operation in the process, does not need to contact with the door lock, is convenient and quick, meets the user requirement, can improve the user experience, and deepens the connection between the intelligent door lock and the intelligent home control.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a flowchart of a home scene control method according to an exemplary embodiment of the present application; (ii) a
Fig. 2 shows another flowchart of a home scene control method according to an exemplary embodiment of the present application;
fig. 3 shows a further flowchart of a home scene control method according to an exemplary embodiment of the present application;
fig. 4 is a schematic diagram illustrating an implementation process of a home scene control method according to an exemplary embodiment of the present application;
fig. 5 is a flowchart illustrating a gesture recognition process in a home scene control method according to an exemplary embodiment of the present application;
fig. 6 shows an application scenario diagram of a home scenario control method according to an exemplary embodiment of the present application;
fig. 7 is a block diagram illustrating a home scene control apparatus according to an exemplary embodiment of the present application;
fig. 8 shows a schematic structural diagram of a computer device of a home scene control method according to an exemplary embodiment of the present application;
fig. 9 shows a schematic diagram of a home scene control system applied to a home scene control method according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
According to the home scene control method, the gesture images of the user can be acquired based on the intelligent camera device of the intelligent door lock, such as the cat eye camera, different home scene modes are selected based on various types of gesture images, and user experience is improved.
The first embodiment,
Fig. 1 shows a flowchart of a home scene control method according to an exemplary embodiment of the present application.
Referring to fig. 1, the home scene control method provided by the present application may include steps 101 to 104.
Step 101: and acquiring the gesture image acquired by the intelligent camera device.
In some embodiments, the smart camera device may include a cat-eye camera.
In some embodiments, acquiring the gesture image in step 101 may include:
receiving a gesture image acquisition instruction;
and responding to the gesture image acquisition instruction to acquire the gesture image.
Specifically, after receiving the gesture image and obtaining the instruction, the cat eye camera on the intelligent door lock begins to obtain the gesture image, can avoid continuously obtaining the image and cause data redundancy, and avoid obtaining the condition that irrelevant gesture of irrelevant personnel caused the mistake and touched simultaneously.
In some embodiments, the gesture image capture instruction comprises an unlock instruction.
Furthermore, the intelligent door lock is judged to be unlocked, and when an unlocking instruction is generated, the gesture image is acquired, so that the situation that personnel without control authority mistakenly touch the home scene control can be further avoided.
In some embodiments, receiving a gesture image capture instruction comprises:
acquiring a face image acquired by the intelligent camera device;
and responding to the passing of the face image recognition, and generating an unlocking instruction.
Based on can carry out the intelligent lock that 3D face identification unblanked through intelligent cat eye, can directly carry the gesture recognition technique in intelligent cat eye, obtain the 3D depth map of hand, and then discern and house scene control.
In another specific example, the unlocking instruction may include that the intelligent door lock performs password identification on the user through a keyboard, and the unlocking instruction is generated after the identification is passed.
In another specific example, the unlocking instruction may include that the intelligent door lock performs fingerprint identification on the user through the fingerprint acquisition module, and the unlocking instruction is generated after the identification is passed.
In another specific example, the unlocking instruction can include that the intelligent door lock performs iris recognition on the user through a cat eye camera, and the unlocking instruction is generated after the recognition is passed.
In this embodiment, the unlocking manner of the intelligent door lock may include one or more of the above examples, and may also be other unlocking manners, which is not limited in this embodiment.
In some examples, the cat eye camera of the smart door lock may be a single-lens device, or may be a multi-lens device or a depth camera device. Wherein, more gestures can be detected more accurately using a depth camera or a multi-precision device.
Step 102: and identifying the gesture image to obtain a gesture identification result.
Fig. 2 shows another flowchart of a home scenario control method according to an exemplary embodiment of the present application.
Referring to fig. 2, in some embodiments, the gesture image is recognized in step 101, and the obtaining of the recognition result may include steps 201 to 203.
Step 201: and segmenting the gesture image to obtain a segmented gesture image.
In some embodiments, segmenting the gesture image may include: firstly, gesture detection is carried out on the acquired gesture images, and whether the gesture images contain gesture images which can be analyzed or not is judged. And then, segmenting the gesture image by adopting a gesture segmentation method based on monocular vision or a gesture segmentation method based on stereoscopic vision.
The monocular vision method comprises the steps of obtaining a gesture image by utilizing an image acquisition device and obtaining a plane model of the gesture image. The method can establish a gesture shape database, establishes all gestures which can be considered, and is convenient for template matching of the gestures. However, as the database expands, the amount of calculation increases, and the speed of gesture recognition is restricted.
The stereoscopic vision method is to obtain different images of the gesture by using a plurality of image acquisition devices and convert the gesture into a stereoscopic model. Similar to the monocular vision method, the stereoscopic vision method also requires a large number of gesture libraries to be established, and a three-dimensional model of the gesture needs to be established in the three-dimensional reconstruction step, so that the calculation amount is increased. Because the stereo vision method can construct a three-dimensional model, a better segmentation effect can be obtained.
Step 202: and acquiring the recognition characteristics of the segmented gesture image.
In some embodiments, the recognition feature may include a shape feature or a motion trajectory of the gesture. The shape characteristics and the motion tracks have direct relation with the meaning expressed by the gesture, and the final gesture recognition can be realized based on the characteristics.
Specifically, the gesture analysis method for obtaining the recognition features may include an edge contour extraction method, a centroid finger and other multi-feature combination method, a finger joint tracking method, and the like.
Step 203: and obtaining a gesture recognition result based on the recognition characteristics.
In some embodiments, the identification features include static identification features and/or dynamic identification features.
In some embodiments, the final recognition, which is a process of classifying the trajectories or points in the model parameter space into some subset of the space, may include static gesture recognition and dynamic gesture recognition. Wherein dynamic gesture recognition may be translated into static gesture recognition. The realization method of the identification process can comprise a template matching method, a neural network method and a hidden Markov model method.
Specifically, the template matching method considers the gesture motion as a sequence composed of static gesture images, and compares the gesture template sequence to be recognized with a known gesture template sequence to obtain the recognition result of the gesture.
Step 103: and determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between the pre-stored gesture and the home scene mode.
In some embodiments, the corresponding relationship between the gesture and the home scene mode prestores the home scene mode corresponding to each gesture.
In some embodiments, after step 103, the method may further comprise:
and displaying the recognition result or the home scene mode to the user.
In order to avoid the situation that the home scene mode is different from the actual requirement of the user due to the fact that the user forgets the home scene mode corresponding to the gesture set by the user or the deviation exists between the user gesture and the pre-stored gesture, the recognition result or the home scene mode can be displayed before the user enters the door, and modification time is provided for the user.
If the user does not modify the scene mode, the home scene mode is judged to be correct, and the target device can be controlled.
Step 104: determining at least one target device and target device parameters corresponding to the target home scene mode based on the corresponding relation among the preset home scene mode, the device and the device parameters, and generating and sending a control instruction so that the at least one target device is linked in the target home scene mode according to the target device parameters.
In some embodiments, based on a gesture currently made by a user, a home scene mode desired by the user and working parameters corresponding to home devices related to the home scene mode may be determined, so as to send a control instruction to each target device.
In some embodiments, the control instruction is sent to the central control device, and the central control device controls each household device to operate based on the control instruction.
The home scene control method provided by the embodiment can complete the setting of the home scene mode according to the user requirement when the user opens the door, the process does not need to be operated by other terminals or APP, the user does not need to contact with the door lock, convenience and rapidness are realized, the user requirement is met, the user use experience can be improved, and the contact between the intelligent door lock and the intelligent home control is deepened. The gesture recognition technology can realize interaction or control with the equipment through simple gestures under the condition that a user does not directly contact with the equipment, so that the control process is more convenient and faster.
Example II,
Referring to fig. 1, the home scene control method provided by the present application may include steps 101 to 104, and before step 101, the method may further include a user setting process. The above user setting process may include the following steps one to three.
The method comprises the following steps: user setting data is acquired.
In a specific example, the user may implement the input of the setting data through software or APP on the mobile terminal or the smart terminal.
Alternatively, the data input means may include, but is not limited to, handwriting input, keyboard input, voice input, and the like.
Optionally, the setting data includes the gesture image, the home scene mode name, the home devices corresponding to the home scene modes, and the basic parameters of the home devices.
Optionally, the user may adjust the home device and the use preference according to actual use on the basis of the home scene mode template pre-stored in the software or the APP, so as to conveniently and quickly generate the gesture-home scene mode corresponding relationship, the target home devices corresponding to the respective modes, and the basic parameters corresponding to the respective target home devices.
Step two: and generating a corresponding relation between the gesture and the home scene mode based on the user setting data.
Step three: and generating corresponding relations of the home scene modes, the equipment and the equipment parameters corresponding to the home scene modes based on the user setting data.
Step 101: acquiring a gesture image acquired by the intelligent camera device;
step 102: recognizing the gesture image to obtain a gesture recognition result;
step 103: determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode;
step 104: determining at least one target device and target device parameters corresponding to the target home scene mode based on the corresponding relation among the preset home scene mode, the device and the device parameters, and generating and sending a control instruction so that the at least one target device is linked in the target home scene mode according to the target device parameters.
After the user sets, the specific implementation process of steps 101 to 104 is the same as that in the first embodiment.
The home scene control method provided by the embodiment of the invention can enable the user to conveniently input the own set content and preference, further approach the user requirement and improve the user experience.
Example III,
Referring to fig. 1, the home scene control method provided by the present application may include steps 101 to 104.
Step 101: acquiring a gesture image acquired by the intelligent camera device;
step 102: recognizing the gesture image to obtain a gesture recognition result;
step 103: determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode;
step 104: determining at least one target device and target device parameters corresponding to the target home scene mode based on the corresponding relation among the preset home scene mode, the device and the device parameters, and generating and sending a control instruction so that the at least one target device is linked in the target home scene mode according to the target device parameters.
Fig. 3 shows a further flowchart of a home scene control method according to an exemplary embodiment of the present invention.
Referring to fig. 3, in some embodiments, step 104 may include steps 301 through 303.
Step 301: and acquiring target equipment parameters of at least one corresponding target household equipment in the target household scene mode.
In some embodiments, step 301 includes determining, based on a pre-stored correspondence between the home scene mode, the device, and the device parameter, a basic parameter of each target home device in the target home scene mode.
Step 302: and acquiring current environment data.
In some embodiments, the environmental data may include, but is not limited to, current time, indoor and outdoor temperature, humidity, indoor and outdoor air quality conditions, and the like.
Step 303: and adjusting the target equipment parameters based on the environment data, and generating and sending a control instruction based on the adjusted target equipment parameters so that the at least one target equipment is linked in the target household scene mode according to the adjusted target equipment parameters.
In some embodiments, the basic parameters are adjusted based on the environment data, and the adjustment can be performed based on a prestored environment data-control instruction adjustment relation.
Optionally, the environmental data-control command adjustment relationship may include a linear correspondence relationship, for example, when the external ambient temperature rises by a degrees celsius, the temperature of the drinking water decreases by b degrees celsius on the basis of basic parameters, and is not lower than c degrees celsius at the lowest.
Optionally, the environmental data-control command adjustment relationship may include an interval correspondence relationship, for example, when the current time is in the late night [ d, e ] interval, the brightness of the lighting system is reduced by f percent based on the basic parameter.
Alternatively, the environmental data-control command adjustment relationship may include an on-off correspondence relationship, for example, when the current outside air pollution is serious, the ventilation system is turned off regardless of the value of the basic parameter of the ventilation system.
In some embodiments, step 303 may include:
screening the environmental data based on the target home scene mode to remove the environmental data irrelevant to the target home scene mode;
and adjusting the target equipment parameters based on the prestored environmental data and equipment parameter adjustment strategy and the screened environmental data, and generating and sending a control instruction based on the adjusted target equipment parameters.
In some embodiments, the environmental data is screened, so that the environmental data irrelevant to the current home scene can be removed, and the processing of redundant data is avoided.
For example, a certain home scene mode only needs to be controlled by the lighting system, and the air pollution condition does not need to be acquired and analyzed.
The home scene control method provided by the embodiment of the invention can adjust the equipment in the home scene mode according to the actual situation of the current environment, so that the intelligent home scene is more flexible.
Examples IV,
The following further describes an implementation process and an effect of the home scene control method provided by the embodiment of the invention, taking different home scene modes as examples.
Before the home scene mode is controlled through the gesture, the user can preset the intelligent home scene mode represented by different gestures for the door lock through the APP and relevant parameters of home equipment corresponding to different scene modes.
Based on user preferences, some on-demand smart home scene modes can be generated as basic modes, such as general-purpose devices like air conditioners, ventilation, water heaters, and the like.
Fig. 4 shows another implementation flow diagram of the home scene control method provided by the embodiment of the invention.
Referring to fig. 4, when a user wants to open a door, the intelligent door lock firstly performs identity recognition in a 3D face recognition mode, and determines that the lock can be opened. And then entering a gesture recognition confirmation mode, and finally performing linkage control on the smart home based on a gesture recognition result to build a home scene mode required by the user.
Fig. 5 shows a schematic flow chart of gesture image recognition in the home scene control method provided by the embodiment of the invention.
Referring to fig. 5, in a specific example, first, image acquisition is performed, then gesture detection and segmentation and gesture analysis are performed in sequence, and finally, a recognition result is obtained through static gesture recognition and dynamic gesture recognition.
Optionally, the skeleton can be abstracted from the gesture by using the soft gesture skeleton technology, and the gesture is stripped from the background and simulated gesture changes are dynamically tracked in real time. The gesture skeleton technology allows the camera to track the positions and the directions of skeleton key points of the gesture, distinguish the left hand from the right hand, and realize double-hand interaction.
The gesture information of the user is finally converted into instruction information, the intelligent door lock can send the instruction information to a central control system of the intelligent home, and the central control system controls and adjusts each home device.
In another scene, the intelligent door lock can also directly drop and send the instruction to the related household equipment to control and adjust the household equipment.
Fig. 6 shows a home scene mode schematic diagram in the home scene control method provided by the embodiment of the invention.
Referring to fig. 6, the home scene mode provided by the embodiment of the present invention may include, but is not limited to, a romantic mode, a nightfall mode, a joy mode, a cure mode, a sport mode, and the like.
In a specific example, the "hearts" gesture may correspond to a romantic mode, and the corresponding target home devices may include a music playing device, a humidifier device, and the like, for example, the music playing device is controlled to play romantic music, and the humidifier device starts an aromatherapy function.
In one particular example, the "quiet" gesture may correspond to a night return mode, and the corresponding target home devices may include lighting devices, door lock devices, and the like, for example, controlling the lighting devices to dim and the door lock devices to enter a quiet mode.
In one particular example, the "scissors" gesture may correspond to a joy mode, the corresponding target home device may include a music playing device, and the like, for example, to control the music playing device to play joy music.
In a specific example, the "top guava" gesture may correspond to a healing mode, and the corresponding target home device may include a music playing device, for example, controlling the music playing device to play soothing music.
In a specific example, the "fist making" gesture may correspond to a movement mode, and the corresponding target home devices may include a music playing device, a ventilation device, and the like, for example, a fresh air mode that controls the music playing device to play dynamic music and opens the ventilation device.
In some embodiments, the pre-stored parameters of the target home scene mode may also be adjusted based on the current environmental data.
For example, basic parameters of a certain target household device are air conditioner 26 ℃, drinking water 50 ℃ and bathroom water heater 40 ℃, and a ventilation system is started.
However, the environmental data at this time was 12 pm and the outdoor temperature was 35 degrees celsius.
At this time, the basic parameters can be adjusted based on the environmental data, the generated control commands are 26 ℃ of air conditioner, 25 ℃ of drinking water and 35 ℃ of bathroom water heater, and the ventilation system is closed.
In summary, the home scene control method provided by the embodiment of the invention can provide a convenient, interesting and vivid control method for users, so that the users can conveniently experience the required smart home scene mode, the user requirements are met, the user experience is improved, and the linkage relationship between the smart door lock and other home appliances is enriched.
Example V,
Fig. 7 shows a schematic diagram of a home scene control device.
Referring to fig. 7, a home scene control apparatus provided in an embodiment of the present invention may include:
a gesture image obtaining module 401, configured to obtain a gesture image collected by the intelligent camera device;
a gesture recognition module 402, configured to recognize the gesture image to obtain a gesture recognition result;
a target home scene determining module 403, configured to determine a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a correspondence between a pre-stored gesture and a home scene mode;
the control instruction sending module 404 is configured to determine at least one target device and a target device parameter corresponding to the target home scene mode based on a preset home scene mode and a corresponding relationship between devices and device parameters, and generate and send a control instruction, so that the at least one target device is linked in the target home scene mode according to the target device parameter.
In some embodiments, the home scene control apparatus provided in the embodiments of the present invention may further include a setting module, configured to:
acquiring user setting data;
generating a corresponding relation between the gesture and a home scene mode based on the user setting data;
and generating a corresponding relation among the home scene mode, the equipment and the equipment parameter based on the user setting data.
In some embodiments, the gesture image acquisition module 401 is specifically configured to:
receiving a gesture image acquisition instruction;
and responding to the gesture image acquisition instruction to acquire the gesture image.
In some embodiments, the gesture image capture instruction comprises an unlock instruction.
In some embodiments, the gesture recognition module 402 is specifically configured to:
segmenting the gesture image to obtain a segmented gesture image;
acquiring the recognition characteristics of the segmented gesture image;
and obtaining the gesture recognition result based on the recognition features.
In some embodiments, the control instruction sending module 404 is specifically configured to:
acquiring a target device parameter of at least one corresponding target household device in the target household scene mode;
acquiring current environment data;
and adjusting the target equipment parameters based on the environment data, and generating and sending a control instruction based on the adjusted target equipment parameters so that the at least one target equipment is linked in the target household scene mode according to the adjusted target equipment parameters.
In some embodiments, the control instruction sending module 404 is specifically configured to:
screening the environmental data based on the target home scene mode to remove the environmental data irrelevant to the target home scene mode;
and adjusting the target equipment parameters based on the prestored environmental data and equipment parameter adjustment strategy and the screened environmental data, and generating and sending a control instruction based on the adjusted target equipment parameters.
The house scene controlling means that this embodiment provided can accomplish the setting of house scene mode according to the user's demand promptly when the user opens the door, and this process need not with the help of other terminals, need not to carry out APP operation, and the user also need not to contact with the lock, and convenient and fast, laminating user demand can improve user and uses experience, deepens the contact of intelligent lock and intelligent house control.
Example six,
Fig. 8 is a schematic structural diagram of a computer device of a home scene control method according to an exemplary embodiment of the present application, where the computer device includes:
the processor 501 includes one or more processing cores, and the processor 501 executes various functional applications and data processing by running software programs and modules.
The receiver 502 and the transmitter 503 may be implemented as one communication component, which may be a communication chip. Optionally, the communication component may be implemented to include signal transmission functionality. That is, the transmitter 503 may be used to transmit a control signal to the image capturing device and the scanning device, and the receiver 502 may be used to receive a corresponding feedback instruction.
The memory 504 is connected to the processor 501 by a bus 505.
The memory 504 may be configured to store at least one instruction, and the processor 501 is configured to execute the at least one instruction to implement steps 101 to 103 in the above method embodiment.
Example seven,
The embodiment of the application provides an intelligent door lock, including above-mentioned computer equipment to and intelligent camera device, with computer equipment's treater is connected, is used for gathering the gesture image at least.
Example eight,
The embodiment of the application provides a home scene control system, which comprises the intelligent door lock and an intelligent central control device, wherein the intelligent central control device is used for receiving the control instruction and controlling at least one target device to be linked under a target home scene mode according to the target device parameters.
Fig. 9 shows a schematic structural diagram of a home scene control system applied to the home scene control method provided by the embodiment of the present invention.
Referring to fig. 9, the system may include a gesture recognition module, an intelligent central control module, other recognition modules, a home device receiving module, and a power supply module. The gesture recognition module depends on the intelligent door lock and can comprise a processor, a memory, an intelligent cat eye and an infrared module.
The intelligent home system provided by the embodiment of the invention can realize the home scene control method, so that a user can complete the setting of the home scene mode before entering the door through the door lock, convenience and rapidness are realized, and the user experience is improved.
Examples nine,
An embodiment of the present application further provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or an instruction set is stored in the computer-readable storage medium, and the computer-readable storage medium is loaded and executed by a processor to implement the home scene control method.
Examples No. 2,
The present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the home scene control method in any one of the above embodiments.
Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM). The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages or disadvantages of the implementation.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (12)
1. The household scene control method is applied to an intelligent door lock, the intelligent door lock is provided with an intelligent camera device, and the method comprises the following steps:
acquiring a gesture image acquired by the intelligent camera device;
recognizing the gesture image to obtain a gesture recognition result;
determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode;
determining at least one target device and target device parameters corresponding to the target home scene mode based on a preset home scene mode and a corresponding relation between the device and the device parameters, and generating and sending a control instruction to enable the at least one target device to be linked in the target home scene mode according to the target device parameters.
2. The method according to claim 1, wherein the acquiring the gesture image captured by the smart camera device comprises:
receiving a gesture image acquisition instruction;
and responding to the gesture image acquisition instruction to acquire the gesture image.
3. The method of claim 2, wherein the gesture image capture instruction comprises an unlock instruction.
4. The method according to claim 1, wherein the recognizing the gesture image to obtain a gesture recognition result comprises:
segmenting the gesture image to obtain a segmented gesture image;
acquiring the recognition characteristics of the segmented gesture image;
and obtaining the gesture recognition result based on the recognition features.
5. The method according to any one of claims 1 to 4, wherein the determining, based on a preset correspondence between a home scene mode, a device, and a device parameter, at least one target device and a target device parameter corresponding to the target home scene mode, generating and sending a control instruction to cause the at least one target device to be linked in the target home scene mode according to the target device parameter, comprises:
acquiring a target device parameter of at least one corresponding target household device in the target household scene mode;
acquiring current environment data;
and adjusting the target equipment parameters based on the environment data, and generating and sending a control instruction based on the adjusted target equipment parameters so that the at least one target equipment is linked in the target household scene mode according to the adjusted target equipment parameters.
6. The method of claim 5, wherein the adjusting the target device parameter based on the environmental data, and generating and sending a control command based on the adjusted target device parameter comprises:
screening the environmental data based on the target home scene mode to remove the environmental data irrelevant to the target home scene mode;
and adjusting the target equipment parameters based on the prestored environmental data and equipment parameter adjustment strategy and the screened environmental data, and generating and sending a control instruction based on the adjusted target equipment parameters.
7. A home scene control apparatus, comprising:
the gesture image acquisition module is used for acquiring a gesture image acquired by the intelligent camera device;
the gesture recognition module is used for recognizing the gesture image to obtain a gesture recognition result;
the target home scene determining module is used for determining a target home scene mode corresponding to the gesture recognition result based on the gesture recognition result and a corresponding relation between a pre-stored gesture and a home scene mode;
and the control instruction sending module is used for determining at least one target device and target device parameters corresponding to the target home scene mode based on the preset corresponding relation among the home scene mode, the device and the device parameters, and generating and sending a control instruction so as to enable the at least one target device to be linked in the target home scene mode according to the target device parameters.
8. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, at least one program, set of codes, or set of instructions being loaded and executed by the processor to implement the home scenario control method of any of claims 1 to 6.
9. An intelligent door lock, comprising:
the computer device of claim 8; and
and the intelligent camera device is connected with the processor of the computer equipment and is at least used for acquiring gesture images.
10. The smart door lock of claim 9, wherein the smart camera device comprises a cat-eye camera.
11. A home scene control system, comprising:
the smart door lock of claim 9; and
and the intelligent central control equipment is used for receiving the control instruction and controlling the at least one target equipment to be linked in the target home scene mode according to the target equipment parameters according to the control instruction.
12. A computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the home scenario control method of any of claims 1 to 6.
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| CN202210580764.7A CN114967490A (en) | 2022-05-25 | 2022-05-25 | Household scene control method and device, intelligent door lock and control system |
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| CN202210580764.7A CN114967490A (en) | 2022-05-25 | 2022-05-25 | Household scene control method and device, intelligent door lock and control system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115616928A (en) * | 2022-10-21 | 2023-01-17 | 广州视声智能股份有限公司 | Control panel control method and device based on artificial intelligence |
| CN115798084A (en) * | 2022-10-19 | 2023-03-14 | 金茂云科技服务(北京)有限公司 | Intelligent door and control method thereof, electronic equipment and storage medium |
| CN116400601A (en) * | 2023-05-22 | 2023-07-07 | 深圳普菲特信息科技股份有限公司 | Scene self-adaptive control method, system and storage medium for environment change equipment |
-
2022
- 2022-05-25 CN CN202210580764.7A patent/CN114967490A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115798084A (en) * | 2022-10-19 | 2023-03-14 | 金茂云科技服务(北京)有限公司 | Intelligent door and control method thereof, electronic equipment and storage medium |
| CN115616928A (en) * | 2022-10-21 | 2023-01-17 | 广州视声智能股份有限公司 | Control panel control method and device based on artificial intelligence |
| CN116400601A (en) * | 2023-05-22 | 2023-07-07 | 深圳普菲特信息科技股份有限公司 | Scene self-adaptive control method, system and storage medium for environment change equipment |
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