Clothes drying machine control method, system, medium and equipment

Abstract

The invention discloses a clothes airing machine control method and system, a medium and equipment, the clothes airing machine control method is applied to a clothes airing machine with a visual identification module installed on a host, and the clothes airing machine control method comprises the steps that human body detection information of an airing induction area of the clothes airing machine is acquired; when a preset condition is met, a clothes airing rod assembly of the clothes airing machine is controlled to run to a preset position, and a visual recognition module collects image information of an airing induction area; the preset condition is that the airing sensing area detects human body information; the preset position is the position from the airing rod assembly to the upper limit fixed distance of the clothes airing machine, and when the airing rod assembly is located at the position, the visual identification module can collect image information of the airing induction area; according to the invention, the situation that the visual identification module such as a camera on the clothes airing machine host is blocked by clothes and cannot perform normal image acquisition work can be avoided.

Description

Technical Field

[0001] The present application relates to the technical field of clothes drying control, and in particular to a clothes drying machine control method, system, medium and equipment. Background Art

[0002] Electric clothes drying machines are becoming more and more popular because they can be automatically raised and lowered, and integrate lighting, drying, sterilization and disinfection functions. They have become an indispensable part of smart home products. Electric clothes drying machines generally consist of two parts: a main unit and a drying rod assembly. The main unit is generally installed on the ceiling, and the drying rod assembly is installed under the main unit through a wire rope or other lifting parts, and can be raised and lowered relative to the main unit.

[0003] With the development of technology, the level of intelligence of clothes drying machines is getting higher and higher. In order to make the functions of clothes drying machines more diversified, some manufacturers set visual recognition modules, such as cameras, on the main machine of clothes drying machines. Through the visual recognition module, the image and video information around the clothes drying machine, such as the user's facial information, gesture information, etc., is recognized to trigger the clothes drying machine to perform corresponding functions, including the rise / fall / stop of the clothes drying machine, the lighting on / off, the drying function on / off, the sterilization function on / off, and even the detection of the user's height. Although the setting of visual recognition makes the control of the clothes drying machine more intelligent, after the clothes drying machine is used to dry clothes, the drying rod needs to rise to the drying position, which is usually close to the main machine or directly at the upper limit of the drying rod. At this time, the clothes on the drying rod are likely to block the visual recognition module, making it impossible for the visual recognition module to collect and recognize the image and video information around the clothes drying machine, thereby affecting the control of the clothes drying machine. Summary of the invention

[0004] The first purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art and to provide a clothes drying machine control method, by which the visual recognition module on the clothes drying machine host, such as a camera, can be prevented from being blocked by clothing and unable to perform normal image acquisition work, thereby effectively improving the recognition rate of the visual recognition module.

[0005] A second object of the present invention is to provide a clothes drying machine control system.

[0006] A third object of the present invention is to provide an electronic device.

[0007] A fourth object of the present invention is to provide a computer-readable storage medium.

[0008] The first object of the present invention is achieved by the following technical solution: a clothes drying machine control method, applied to a clothes drying machine with a visual recognition module installed on a host, the method comprising:

[0009] Obtain human body detection information in the clothes drying sensing area;

[0010] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to the preset position, so that the visual recognition module can collect image information of the drying sensing area;

[0011] The preset condition is that the drying sensing area detects human body information;

[0012] The preset position is a position where the drying rod assembly is a fixed distance away from the upper limit of the clothes drying machine. When the drying rod assembly is at this position, the visual recognition module can collect image information of the drying sensing area.

[0013] Preferably, before controlling the clothes drying rod assembly of the clothes drying machine to move to a preset position, the method further includes: obtaining detection information of clothes on the clothes drying rod assembly;

[0014] The preset condition is that human body information is detected in the drying sensing area and clothing information is detected on the drying rod assembly.

[0015] Preferably, before controlling the clothes drying rod assembly of the clothes drying machine to move to the preset position, the method further includes: obtaining clothes detection information of a preset area on the clothes drying rod assembly; the preset area on the clothes drying rod assembly refers to an area on the clothes drying rod assembly that affects the visual recognition module to collect the image of the drying sensing area after the clothes are dried;

[0016] The preset condition is that human body information is detected in the drying sensing area and clothing information is detected in the preset area of ​​the drying rod component.

[0017] Preferably, before controlling the clothes drying machine drying rod assembly to move to a preset position, the method further includes: controlling the visual recognition module to collect image information; determining that clothing information is detected based on the image information collected by the visual recognition module;

[0018] The preset condition is that the human body information is detected in the drying sensing area and the clothing information is extracted from the image information collected by the visual recognition module before the drying rod assembly is operated.

[0019] Preferably, the image information includes face information; after the visual recognition module collects the image information of the drying sensing area, it also includes:

[0020] Detecting facial information based on the collected image information;

[0021] According to the detected face information, the identity of the user entering the drying sensing area is determined;

[0022] When receiving a command to lower the clothes drying rod assembly, the clothes drying rod assembly is controlled to lower to a corresponding height according to the user's identity;

[0023] Wherein, each user identity is configured with at least one piece of height information of the drying rod component;

[0024] Alternatively, the image information includes gesture information; after the visual recognition module collects the image information of the drying sensing area, it also includes:

[0025] Based on the collected image information, gesture features are extracted and gesture actions are determined;

[0026] Controlling the clothes drying machine to perform corresponding functions according to the determined gesture action;

[0027] Alternatively, the image information includes face information and gesture information; after the visual recognition module collects the image information of the drying sensing area, it also includes:

[0028] Detect whether there is face information in the collected image information;

[0029] If there is face information in the image, gesture features are extracted from the image information to determine the gesture action;

[0030] The clothes drying machine is controlled to execute corresponding functions according to the determined gesture actions.

[0031] Preferably, the visual recognition module is installed obliquely on the side panel of the main body of the clothes drying machine, and the inclination angle is 10° to 85°, and the inclination angle refers to the angle between the central axis of the visual recognition module and the plumb line;

[0032] When the visual recognition module is installed at an inclination angle of 25° to 35°, the preset position is set to be 15 cm to 25 cm away from the upper limit of the clothes drying machine from the drying rod assembly.

[0033] The second object of the present invention is achieved by the following technical solution: A clothes drying machine control system, comprising a main controller, a visual recognition module and a human body detection unit;

[0034] The visual recognition module is connected to the main controller and performs image acquisition of the drying sensing area under the control of the main controller;

[0035] The human body detection unit is connected to the main controller and is used to detect human body information in the drying sensing area of ​​the clothes drying machine;

[0036] The main controller is used to execute the clothes drying machine control method described in the first objective of the present invention.

[0037] Preferably, it also includes a clothing detection unit; the clothing detection unit is connected to the main controller, and is used to detect clothing information on the drying rod assembly and feed it back to the main controller;

[0038] The clothing detection unit includes a weighing unit and / or a clothing detection sensor.

[0039] The weighing unit is connected to the main control and is used to detect the weight information on the drying rod assembly;

[0040] The clothing detection sensor comprises a light source transmitting end and a receiving end arranged at both ends of the drying rod of the drying rod assembly. The receiving end is connected to the main controller and is used to receive the light signal emitted by the light source transmitting end and feed it back to the main controller.

[0041] The third purpose of the present invention is achieved through the following technical solution: an electronic device, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the clothes drying machine control method described in the first purpose of the present invention.

[0042] The fourth object of the present invention is achieved through the following technical solution: a computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the clothes drying machine control method described in the first object of the present invention is implemented.

[0043] Compared with the prior art, the present invention has the following advantages and effects:

[0044] (1) The control method of the clothes drying machine of the present invention is applied to a clothes drying machine with a visual recognition module installed on the main unit. First, human body detection information of the drying sensing area of ​​the clothes drying machine is obtained. When it is determined based on the above information that someone has entered the drying sensing area, before the clothes drying machine is controlled, the drying rod assembly can be lowered to a preset position. In the preset position, the visual recognition module on the main unit of the clothes drying machine can collect image information of the drying sensing area. Therefore, the method of the present invention can avoid the problem that the visual recognition module on the main unit of the clothes drying machine, such as the camera, is blocked by clothes and cannot perform normal image collection work, thereby effectively improving the recognition rate of the visual recognition module.

[0045] (2) The clothes drying machine control method of the present invention also includes the step of obtaining clothes detection information of the drying rod assembly. When it is determined that someone has entered the drying sensing area and that clothes are drying on the drying rod assembly, the drying rod assembly can be lowered to a preset position before controlling the clothes drying machine. Based on this, the present invention controls the drying rod assembly to run to a preset position only when there is clothes drying on the drying rod that may be blocked, which can effectively avoid the need for the clothes drying machine to reach the preset position every time it works, thereby improving the operating efficiency of the clothes drying machine.

[0046] (3) The clothes drying machine control method of the present invention also includes obtaining clothing detection information of a preset area on the drying rod assembly; when it is determined that someone has entered the drying sensing area and that there is clothing drying on the preset area of ​​the drying rod assembly, the drying rod assembly can be lowered to a preset position before the clothes drying machine is controlled. The preset area refers to the area that affects the visual recognition module from collecting images of the drying sensing area after the clothing is dried on the drying rod assembly. Based on this, the drying rod assembly is controlled to run to the preset position only when it is determined that someone has entered the drying sensing area and the clothing hung on the drying rod will definitely block the visual recognition module. This operation can further improve the operating efficiency of the clothes drying machine.

[0047] (4) In the clothes drying machine control method of the present invention, the preset condition can also be: the drying sensing area detects human body information and the visual recognition module extracts clothing information from the image information collected before the drying rod assembly operates; therefore, when the human body detection unit detects that someone has entered the drying sensing area, the main controller controls the visual recognition module to collect images and identifies whether there is clothing information in the image. If so, the drying rod assembly is controlled to operate to the preset position. Based on this, the method of the present invention can realize the detection of clothes on the drying rod assembly without adding additional clothing detection unit hardware equipment, and when the drying rod assembly is located at the drying position, such as the upper limit position, if the clothes drying on the drying rod assembly block the visual recognition module, then when the visual recognition module collects the image at this time, the clothing information can be extracted from the image information, and even if the clothes are drying on the drying assembly but the visual recognition module is not blocked, it means that these clothes cannot affect the visual recognition module, and at this time, not controlling the drying rod assembly to run to the preset position will not affect its recognition rate. Therefore, detecting clothing information through the visual recognition module can also improve the operating efficiency of the clothes drying machine, and avoid the situation where the drying rod assembly needs to run to the preset position even when there are clothes drying but not blocked.

[0048] (5) In the clothes drying machine control method of the present invention, the image information collected by the visual recognition module can be facial information. After the visual recognition module collects the image information, the facial information can be detected through the image information, and the identity of the user entering the drying sensing area can be determined based on the detected facial information; when the drying rod is to be controlled to descend, the drying rod assembly can be controlled to a corresponding height based on the user identity information to suit users of different heights, making it more convenient for users to dry and collect clothes. In addition, gesture information can also be extracted from the image information, and the clothes drying machine can be operated accordingly based on the recognized gesture actions, making the control of the clothes drying machine more convenient; further, the present invention can be arranged to start the above-mentioned target gesture detection step only when a facial portrait is extracted from the image information, so as to prevent the situation where someone enters the drying sensing area but the corresponding function of the clothes drying machine is mistakenly triggered when there is no control demand.

[0049] (6) In the clothes drying machine control method of the present invention, the visual recognition module is installed on the side of the clothes drying machine host at an inclination angle of 10° to 85°, which can be adjusted according to the range of the drying sensing area, wherein the inclination angle of the visual recognition module is preferably 30 degrees or about 30 degrees. The obliquely installed visual recognition module can control the image acquisition area to be located on one side of the clothes drying machine, such as the side of the balcony close to the living room, so that when the target person walks from the living room to the balcony and enters the drying sensing area, the corresponding image can be captured. In addition, in the present invention, for the visual recognition module when the inclination angle is 25° to 35°, the preset position can be set to 15cm to 25cm from the upper limit of the clothes drying machine to the drying rod assembly. When the drying rod assembly is located at this position, the visual recognition module on the clothes drying machine host can not be blocked by the clothes on the drying rod assembly, and at the same time, it can also ensure that the drying rod assembly is still in a higher drying position to avoid affecting the use of the clothes drying machine by users below the clothes drying machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a flow chart of the control method of embodiment 1 of the present invention.

[0051] Figure 2 It is a flow chart of the control method of embodiment 2 of the present invention.

[0052] Figure 3 It is a flow chart of the control method of embodiment 4 of the present invention.

[0053] Figure 4 It is a structural block diagram of the control system of the present invention.

[0054] Figure 5a and 5b It is a schematic diagram of the installation of the visual recognition module in the control system of the present invention. DETAILED DESCRIPTION

[0055] The embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the implementation methods described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions of the embodiments of the present application.

[0056] Example 1

[0057] Currently, when a visual recognition module such as a camera is set on the main body of the clothes drying machine, if there are clothes hanging on the clothes drying rod of the clothes drying machine, the visual recognition module is usually blocked, so that the visual recognition module cannot work normally and the recognition rate is reduced.

[0058] Based on the problems existing in the prior art, this embodiment provides a clothes drying machine control method, which is applied to a clothes drying machine with a visual recognition module installed on the host, and can effectively avoid the situation where the visual recognition module is blocked when clothes are hung on the clothesline.

[0059] The clothes drying machine referred to in this embodiment generally includes a main machine and a drying rod assembly. The main machine is generally installed on the ceiling. The drying rod assembly is arranged below the main machine through a wire rope or other lifting parts. The drying rod assembly generally includes one or more clothes drying rods for drying clothes, one or more quilt drying rods for drying bedding, and one or more cross bars for drying small items (underwear, socks, towels, etc.). The main machine is provided with components such as a main controller and a power system. The power system of the clothes drying machine may include a motor, a winding wheel, a pulley assembly, a wire rope, etc. The main controller is connected to the motor through a motor driver to control the rotation of the motor. The winding wheel is connected to the motor output shaft in a transmission manner. One end of the wire rope is arranged on the winding wheel, and the other end passes through the pulley in the pulley assembly and changes direction (changes the horizontal direction to the vertical direction) and is fixedly connected to the drying rod assembly below the main machine. The winding wheel is driven by the motor to rotate so as to be able to retract and release the wire rope, thereby driving the drying rod assembly on the wire rope to rise or fall. In addition, the clothes drying machine may also be equipped with functional modules such as lighting, drying, and disinfection, and the main controller may issue instructions to control each functional template. The main machine of the clothes drying machine used in this embodiment is also provided with a visual recognition module, such as a camera, for collecting images of the drying sensing area.

[0060] like Figure 1 As shown in , this embodiment provides a clothes drying machine control method, comprising the following steps:

[0061] S1. Obtaining human body detection information in the clothes drying sensing area of ​​the clothes drying machine.

[0062] In this embodiment, the human body detection unit is used to detect whether a person enters the drying sensing area of ​​the clothes drying machine. When a person enters, the human body detection unit will detect the human body information.

[0063] S2. When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area;

[0064] In this embodiment, the preset condition is that the drying sensing area detects human body information, that is, when the human body detection unit detects that someone has entered the drying sensing area, the drying rod assembly is controlled to run to the preset position. The above preset position is the position where the drying rod assembly is a fixed distance away from the upper limit of the clothes drying machine. When the drying rod assembly is in this position, the visual recognition module can collect image information of the drying sensing area. In this embodiment, when it is detected that someone has entered the drying sensing area, the visual recognition module can be immediately controlled to enter the working state, or the visual recognition module can be controlled to enter the working state when the drying rod assembly runs to the preset position. The latter operation can prevent the visual recognition module from collecting invalid image information.

[0065] In this embodiment, the visual recognition module is generally a camera, and specifically a binocular camera can be used to collect facial information, gesture information, etc. through the camera. The visual recognition module is generally installed at an angle on the side panel of the clothes drying machine host. For a rectangular clothes drying machine host, the visual recognition module is generally installed in the middle of the long side of the host. It can also be adaptively set according to the actual installation and use environment, such as being installed on the side of the host end. In this embodiment, the installation inclination angle of the visual recognition module can be set to 10°~85°. The inclination angle refers to the angle between the central axis of the visual recognition module and the plumb line, which can be adjusted according to the range of the drying sensing area.

[0066] In this embodiment, when the visual recognition module is installed at an inclination angle of 25° to 35°, the preset position is set to be 15cm to 25cm from the upper limit of the clothes drying machine to the drying rod assembly, and the upper limit of the clothes drying machine refers to the highest position to which the drying rod assembly can run. The inclination angle of the visual recognition module can preferably be 30 degrees or about 30 degrees, and the drying sensing area can be a rectangular area of ​​2m*1.2m. The obliquely installed visual recognition module can control the drying sensing area to be located on one side of the clothes drying machine, such as the side of the balcony close to the living room, so that when the clothes drying machine user walks from the living room to the balcony and enters the drying sensing area, image information can be collected; based on the installation inclination angle of the visual recognition module of 30 degrees or about 30 degrees, the preferred preset position is the position where the drying rod assembly is 18cm or about 18cm away from the upper limit of the clothes drying machine. In this embodiment, the visual recognition module and the human body detection unit can be installed in the same shell, which is arranged on the clothes drying machine host. The image acquisition area of ​​the visual recognition module is included in the drying sensing area of ​​the human body detection unit, or the two basically overlap, so that the user who enters the drying sensing area can have his image captured.

[0067] In this embodiment, the image information collected by the visual recognition module includes face information. After the visual recognition module collects the image information of the drying sensing area, it also includes:

[0068] S301. Detect facial information from the collected image information. In this embodiment, the method for detecting facial information from the image information may be an existing image processing method, which is not limited here. When the visual recognition module uses a binocular camera, the image information captured by the first camera and the second camera is obtained respectively, which are defined as the left image and the right image. In this embodiment, the left image and the right image are cropped respectively. The facial information is detected after normalization processing for the cropped left image; or the facial information is detected after normalization processing for the cropped right image.

[0069] S302. Determine the identity of the user entering the drying sensing area based on the detected facial information. In this embodiment, it is necessary to extract the facial information of the input user and store it in a facial database. When the facial information is extracted from the image information collected by the visual recognition module, the facial information is matched with the facial information in the facial database to determine the user's identity. In addition, based on the detected facial information, the user's identity can also be determined through an artificial intelligence model. The specific method used is not limited here.

[0070] S303. When receiving the command to lower the clothes drying rod assembly, the clothes drying rod assembly will be controlled to lower to the corresponding height according to the user's identity. Each user identity is configured with at least one clothes drying rod assembly height information; for example, for users A, B, C and D, the clothes drying rod assembly lowering heights can be configured as a, b, c and d respectively; specific users can configure it by themselves, and the system can also give configuration suggestions, for example: when the user's height is less than 165cm, it is recommended that the clothes drying rod lowering stroke is 100%, and the corresponding lowering height can be 120cm; when the user's height is 165cm~170cm, the clothes drying rod lowering stroke is 96%, and the corresponding lowering height can be 115cm; when the user's height is 170cm~175cm, the clothes drying rod lowering stroke is 92%, and the corresponding lowering height can be 110cm; when the user's height is 175cm~180cm, the clothes drying rod lowering stroke is 100%, and the corresponding lowering height can be 120cm. The pole descending stroke is 88%, for example, the corresponding descending height can be 105cm; when the user's height is 180cm-185cm, the pole descending stroke is 83%, and the corresponding descending height can be 100cm; when the user's height is 185cm-190cm, the pole descending stroke is 79%, and the corresponding descending height can be 95cm; when the user's height is 190cm-195cm, the pole descending stroke is 75%, and the corresponding descending height can be 90cm; when the user's height is 195cm-200cm, the pole descending stroke is 71%, for example, the corresponding descending height can be 85cm; when the user's height is above 200cm, the pole descending stroke is 66%, and the corresponding descending height can be 80cm.

[0071] In this embodiment, the image information collected by the visual recognition module includes gesture information. After the visual recognition module collects the image information of the drying sensing area, the following operations may also be performed:

[0072] S401. Extract gesture features from the collected image information to determine the gesture action. In this embodiment, a gesture recognition model can be trained based on a neural network. Specifically, multiple groups of gesture features can be obtained, and each group of gesture features can be labeled. The label corresponds to a specific gesture action, and a certain number of training samples are obtained. A neural network model (such as a convolutional neural network model) constructed based on the training samples is used to obtain a gesture recognition model. In this step, the gesture features extracted from the image information are input into the gesture recognition model, and the gesture action is classified and identified by the gesture recognition model. The gesture action may include raising one or more fingers, making a fist, OK gesture, stretching out the palm, etc. The gesture action to be recognized can be selected according to the actual control requirements.

[0073] S402: Control the clothes drying machine to execute corresponding functions according to the extracted gesture actions.

[0074] In this embodiment, different gestures are configured with different functions of the clothes drying machine. For example, the first gesture "stretch out your palm" is configured with a function of raising the clothes drying rod, the second gesture "raise one pole" is configured with a function of lowering the clothes drying rod, the third gesture "make a fist" is configured with a function of turning on the clothes drying machine lighting, the fourth gesture "OK gesture" is configured with a function of turning off the clothes drying machine lighting, the fifth gesture is configured with a function of turning on the clothes drying machine disinfection, the sixth gesture is configured with a function of turning off the clothes drying machine disinfection, and so on.

[0075] In this embodiment, the image information collected by the visual recognition module includes face information and gesture information. After the visual recognition module collects the image information of the drying sensing area, the following operations may also be performed:

[0076] S501: Detect whether there is face information in the collected image information. As shown in step S301, face information can be detected based on the left image or the right image captured by the binocular camera.

[0077] S502: If there is face information in the image, extract gesture features from the image information and determine the gesture action.

[0078] In this embodiment, when face information is detected in the image information, it is further detected whether there are gesture features in the image information to determine the gesture action. In this embodiment, the visual recognition module is installed on the clothes drying machine host, and the clothes drying machine host is generally installed on the ceiling, so when the user has the control awareness of the clothes drying machine, he needs to look up to be photographed for the face information; the advantage of further detecting gesture actions after the face information is detected in this embodiment is that it can effectively avoid the visual recognition module from recognizing the gesture actions of users without control awareness, thereby causing the phenomenon of miscontrol of the clothes drying machine.

[0079] S503, controlling the clothes drying machine to perform corresponding functions according to the determined gesture action; the operation of this step refers to step S402, which will not be repeated here.

[0080] The following is a complete example of the method for controlling a clothes drying machine according to the present embodiment, wherein the clothes drying machine is initially in the upper limit position or other drying position state, and the specific steps are as follows:

[0081] Sa, real-time acquisition of human body detection information output by the human body detection unit; when the human body detection unit detects that a person enters the drying sensing area, the human body information will be acquired; at this time, enter step Sb;

[0082] Sb. Control the drying rod assembly to move to a preset position, for example, 18 cm from the upper limit of the clothes drying machine, so that the visual recognition module can collect image information of the drying sensing area.

[0083] Sc. The visual recognition module collects image information of the drying sensing area, detects facial information from the image information, and recognizes the user's identity based on the facial information.

[0084] After identifying the user's identity, if the clothes drying pole needs to be lowered, the clothes drying pole can be lowered to the corresponding height according to the user's identity. In addition, the image information collected by the visual recognition module can be further identified as gestures, and the clothes drying machine can be controlled to perform corresponding functions according to the identified gestures; for example, if the gesture is identified as a fist from the image information, the clothes drying machine can be controlled to turn on the lighting.

[0085] The above steps of this embodiment are only one of the implementation processes. Those skilled in the art will appreciate that all or part of the steps in the method of this embodiment can be completed by instructing the relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium. It should be noted that although the method operation of this embodiment is described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in this specific order, or that all the operations shown must be performed to achieve the desired result. On the contrary, the steps depicted can change the order of execution, some steps can also be performed simultaneously, additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step for execution, and / or one step can be decomposed into multiple steps for execution.

[0086] In summary, after determining that someone has entered the drying sensing area, the present embodiment can first lower the drying rod assembly to a preset position before controlling the clothes drying machine. At the preset position, the visual recognition module on the clothes drying machine host can collect image information of the drying sensing area. Therefore, the method of the present invention can avoid the problem that the visual recognition module on the clothes drying machine host, such as the camera, is blocked by clothing and cannot perform normal image acquisition work, thereby effectively improving the recognition rate of the visual recognition module.

[0087] Example 2

[0088] This embodiment discloses a method for controlling a clothes drying machine. Figure 2 As shown in , the difference between this embodiment and embodiment 1 is that this embodiment further includes the following steps:

[0089] Acquire clothing detection information on the drying rod assembly; adjust the preset conditions in Example 1 to: the drying sensing area detects human body information and clothing information is detected on the drying rod assembly.

[0090] Based on the above preset conditions of this embodiment, the clothes drying machine control method of this embodiment includes:

[0091] S1. Obtaining human body detection information in the drying sensing area of ​​the clothes drying machine and clothing detection information on the drying rod assembly. In this embodiment, the human body detection information and clothing detection information may be obtained simultaneously, or the human body detection information may be obtained first, and then the clothing detection information may be obtained after confirming that the human body information is obtained.

[0092] S2. When the drying sensing area detects human body information and clothing information is detected on the drying rod assembly, the drying rod assembly is controlled to move to a preset position so that the visual recognition module collects image information of the drying sensing area.

[0093] In this embodiment, when it is detected that someone enters the drying sensing area and it is also detected that there are clothes drying on the drying rod assembly, the drying rod assembly is controlled to move to the preset position. Based on this, this embodiment controls the drying rod assembly to move to the preset position only when there are clothes drying on the drying rod that may be obstructed. If there is someone entering the drying sensing area but there are no clothes on the drying rod, the visual recognition module will not be obstructed, and there is no need to control the drying rod assembly to move to the preset position.

[0094] In this embodiment, the detection information of clothes on the drying rod assembly can be obtained by any of the following methods:

[0095] The first method is to obtain the clothing detection information on the drying rod assembly through the weighing unit, including:

[0096] S101, obtaining weight information detected by a weighing unit.

[0097] In this embodiment, a weighing sensor can be set on the clothes drying rod assembly to detect the weight information borne by the clothes drying rod assembly; a weighing sensor can also be set on the winding wheel used for winding the wire rope on the clothes drying machine main unit. Under this structure, the pressure borne by the wire rope can be detected, and the total weight information of the clothes drying rod assembly fixed at one end of the wire rope and the clothes hung thereon can be determined.

[0098] S102, determining whether the weight on the drying rod assembly exceeds a preset value according to the weight information;

[0099] If so, it is determined that there are clothes drying on the drying rod assembly;

[0100] If not, it is determined that there is no clothing hanging on the drying rod assembly;

[0101] In this embodiment, the above-mentioned preset value can be determined based on the setting position of the weighing sensor. When the weighing sensor is set on the drying rod assembly, the preset value is determined according to the weight change accuracy of the clothes being dried. When the weighing sensor is set on the wire rope winding wheel, the preset value is determined according to the weight of the drying rod assembly and the weight change accuracy of the clothes. The preset value is set in this embodiment in order to accurately identify whether there are clothes being dried on the drying rod, and it can be set specifically according to the actual drying situation.

[0102] The second method is to obtain the detection information of the clothes on the drying rod assembly through the clothes detection sensor, wherein the clothes detection sensor includes a light source transmitting end and a receiving end arranged at both ends of the drying rod of the drying rod assembly, specifically including:

[0103] S201, determining whether the receiving end of the clothing detection sensor receives the light signal sent by the light source transmitting end;

[0104] If not, it is determined that there are clothes hanging on the drying rod assembly;

[0105] If so, it is determined that there is no clothing being hung on the clothes drying rod assembly.

[0106] In this embodiment, the clothing detection sensor can be an infrared sensor, a laser sensor, an ultrasonic sensor, etc., which are installed at both ends of the clothes-drying rod. When clothes are hung on the clothes-drying rod, the light emitted from the light source transmitting end to the receiving end is blocked. Therefore, it is possible to determine whether there are clothes on the clothes-drying rod based on the signal fed back by the receiving end.

[0107] Example 3

[0108] This embodiment discloses a method for controlling a clothes drying machine. The difference between this embodiment and embodiment 1 is that this embodiment further includes the following steps:

[0109] Acquire clothing detection information of a preset area on the drying rod assembly; adjust the preset conditions in Example 1 to: human body information is detected in the drying sensing area and clothing information is detected in the preset area on the drying rod assembly; wherein the preset area of ​​the drying rod assembly refers to an area on the drying rod assembly that affects the visual recognition module from collecting images of the drying sensing area after drying clothes, that is, when drying clothes in the preset area of ​​the drying rod assembly, the visual recognition module will be blocked, so that the visual recognition module cannot collect images of the drying sensing area or can only collect images of a partial range of the drying sensing area. The preset area may be one or more, which may be specifically determined based on the installation situation of the visual recognition module.

[0110] Based on the above preset conditions of this embodiment, the clothes drying machine control method of this embodiment includes:

[0111] S1-1, obtaining human body detection information in the drying sensing area of ​​the clothes drying machine and clothing detection information in the preset area of ​​the drying rod component.

[0112] S1-2. When the drying sensing area detects human body information and clothing information is detected on the preset area of ​​the drying rod assembly, it is determined that the preset conditions are met, and the drying rod assembly is controlled to move to a preset position so that the visual recognition module collects image information of the drying sensing area.

[0113] Based on the above, in this embodiment, when the drying sensing area detects human body information and the preset area of ​​the drying rod assembly detects clothes, the drying rod assembly is controlled to move to the preset position, so that the visual recognition module can collect image information of the drying sensing area. If there are clothes on the drying rod assembly, but the preset area of ​​the drying rod assembly does not detect clothing information, there is no need to control the drying rod assembly to move to the preset position.

[0114] In this embodiment, in order to detect whether there are clothes in the preset area of ​​the drying rod assembly, in this embodiment, the detection information of clothes in the preset area of ​​the drying rod assembly can be obtained by any of the following methods;

[0115] The first method is to obtain the clothing detection information of the preset area of ​​the drying rod assembly through the weighing unit, which specifically includes:

[0116] Obtain the weight information detected by the weighing unit. In this embodiment, a weighing sensor can be set in a preset area of ​​the drying rod assembly to detect the weight information borne by the drying rod assembly;.

[0117] Determine whether the weight on the preset area of ​​the drying rod assembly exceeds a preset value according to the weight information;

[0118] If so, it is determined that there are clothes drying on the preset area of ​​the drying rod assembly;

[0119] If not, it is determined that there is no clothing hung on the preset area of ​​the drying rod assembly;

[0120] The second method is to obtain clothing detection information of a preset area of ​​the drying rod assembly through a clothing detection sensor, wherein the clothing detection sensor includes a light source transmitting end and a receiving end arranged at both ends of the preset area of ​​the drying rod assembly, specifically including:

[0121] Determine whether the receiving end of the clothing detection sensor receives the light signal sent by the light source transmitting end;

[0122] If not, it is determined that there are clothes drying on the preset area of ​​the drying rod assembly;

[0123] If so, it is determined that no clothes are hung on the preset area of ​​the drying rod assembly.

[0124] In this embodiment, the clothing detection sensor can be an infrared sensor, a laser sensor, an ultrasonic sensor, etc., which are set at both ends of the preset area of ​​the drying rod assembly. When there are clothes drying in the preset area of ​​the drying rod assembly, the light source transmitting end is blocked from emitting light to the receiving end. Therefore, it is possible to determine whether there are clothes in the preset area of ​​the drying rod assembly based on the signal fed back by the receiving end. In this embodiment, considering that the clothes drying rod is the main function of the clothes drying machine, the visual recognition module is usually blocked when clothes are dried on the clothes drying rod. Therefore, the preset area of ​​the drying rod assembly is usually on one or more sections of the clothes drying rod. Of course, one or more sections on the quilt drying rod or the small crossbar can also be the preset area of ​​the drying rod assembly, which needs to be determined based on the installation position and installation angle of the visual recognition module.

[0125] Example 4

[0126] In this embodiment, a method for controlling a clothes drying machine is disclosed. The difference between this embodiment and Embodiment 1 is as follows:

[0127] This embodiment also collects image information on the drying rod assembly through the visual recognition module, and identifies whether clothing features appear in the image information to determine whether there are clothes on the drying rod assembly. This embodiment adjusts the preset conditions in embodiment 1 to: the drying sensing area detects human body information and the clothing information is extracted from the image information collected by the visual recognition module before the drying rod assembly is operated.

[0128] Based on the above-mentioned preset conditions of this embodiment, Figure 3 As shown in , the control method of the clothes drying machine in this embodiment is:

[0129] S1-1-1, obtaining human body detection information in the clothes drying sensing area;

[0130] S1-1-2, when it is determined that someone has entered the drying sensing area according to the acquired human body detection information in the drying sensing area, controlling the visual recognition module to collect image information;

[0131] S1-1-2, detecting whether there is clothing information based on the image information collected by the visual recognition module;

[0132] If so, it is determined that the above preset conditions are met, and the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area.

[0133] If not, it is determined that the above preset conditions are not met, and there is no need to control the operation of the clothes drying rod assembly. The image information collected by the visual recognition module is directly recognized and processed so that the clothes drying machine can be controlled accordingly.

[0134] Based on the above steps, when the human body detection unit detects that someone has entered the drying sensing area, the main controller controls the visual recognition module to collect images and identifies whether there is clothing information in the image. If so, the drying rod assembly is controlled to run to a preset position. Clothing detection based on the image information collected by the visual recognition module can save hardware cost, and when the drying rod assembly is located at a drying position, such as the upper limit, if the clothes drying on the drying assembly block the visual recognition module, when the visual recognition module collects the image at this time, the clothing information can be extracted from the image information, and if the clothes drying on the drying assembly do not block the visual recognition module, it means that these clothes drying do not affect the visual recognition module, and the visual recognition module can collect image information of the drying sensing area. At this time, even if the drying rod assembly is not controlled to run to the preset position, its recognition rate is not affected. Therefore, detecting clothing information through the visual recognition module can not only save hardware costs, but also improve the operating efficiency of the clothes drying machine, and avoid the situation where the drying rod assembly needs to run to the preset position when there are clothes drying but not blocked.

[0135] The operations of the above-mentioned embodiments 2 to 4 after the visual recognition module collects image information can refer to embodiment 1 and will not be repeated here.

[0136] Example 5

[0137] This embodiment discloses a clothes drying machine control system. Figure 4 As shown in , it includes a main controller, a visual recognition module and a human detection unit; the main controller can be the controller originally set on the main control board of the clothes drying machine host, or it can be an additional controller. If it is the latter, the main controller needs to be connected to the controller on the main control board of the host.

[0138] In this embodiment, the visual recognition module is connected to the main controller, and performs image acquisition of the drying sensing area under the control of the main controller; in this embodiment, the visual recognition module can use a camera, specifically a binocular camera, to collect facial information, gesture information, etc. through the binocular camera.

[0139] In this embodiment, the visual recognition module 1 is generally installed obliquely on the side panel of the clothes drying machine host. For a rectangular clothes drying machine host, the visual recognition module is generally installed in the middle of the long side of the host, such as Figure 5a In another embodiment, a visual recognition module may be provided on each of the two short sides of the host, such as Figure 5b As shown, the specific adaptive setting can be made according to the actual installation and use environment. In this embodiment, the visual recognition module installation inclination angle can be set to 10° to 85°, and the inclination angle refers to the angle between the central axis of the visual recognition module and the plumb line, which can be adjusted according to the range of the drying sensing area.

[0140] In this embodiment, the human body detection unit is connected to the main controller and is used to detect human body information in the drying sensing area of ​​the clothes drying machine; in this embodiment, the human body detection unit can use a PIR sensor (infrared human body sensor), and can also use other sensors that can identify the human body, which is not limited in this embodiment.

[0141] In this embodiment, the main controller is used to execute the clothes drying machine control method described in any one of Embodiments 1 to 4, including controlling the movement of the clothes drying rod assembly to a preset position according to the detection structure of the human body detection unit, and controlling the visual recognition module to perform image acquisition, and controlling the clothes drying machine accordingly according to the image information recognition results. Please refer to Embodiment 1 or Embodiment 2 for details, which will not be repeated here.

[0142] In this embodiment, the clothes drying machine control system further includes a clothes detection unit connected to the main controller.

[0143] In this embodiment, the clothing information on the clothes drying rod assembly can be detected by the clothing detection unit and fed back to the main controller. The clothing detection unit includes a weighing unit and / or a clothing detection sensor.

[0144] The weighing unit is connected to the main control and is used to detect the weight information on the drying rod assembly. In order to detect the clothing information on the drying rod assembly, the weighing unit can be set on the winding wheel in the clothes drying machine host to detect the weight information of the drying rod assembly and the clothing thereon, or it can be directly set on the drying rod assembly to detect the weight information of the clothing on the drying rod assembly.

[0145] The clothing detection sensor includes a light source transmitting end and a receiving end arranged at both ends of the drying rod of the drying rod assembly. The receiving end is connected to the main controller and is used to receive the light signal emitted by the light source transmitting end and feed it back to the main controller. In this embodiment, the clothing detection sensor can be selected from infrared sensors, laser sensors, ultrasonic sensors, etc., and is arranged at both ends of the drying rod. When there are clothes drying on the drying rod, the light emitted from the light source transmitting end to the receiving end is blocked. Therefore, the main controller of this embodiment can determine whether there are clothes on the drying rod according to the signal fed back by the receiving end. When the receiving end can receive the signal, it is determined that there are no clothes drying on the drying rod. When the receiving end cannot receive the signal, it is determined that there are no clothes drying on the drying rod.

[0146] In this embodiment, the clothing detection unit can also detect clothing information on a preset area of ​​the drying rod assembly; the preset area refers to: the area on the drying rod assembly that affects the visual recognition module from collecting images of the drying sensing area after the clothes are dried on the drying rod assembly, that is, when clothes are dried in the preset area of ​​the drying rod assembly, the visual recognition module will be blocked, making it impossible for the visual recognition module to collect images of the drying sensing area or only able to collect images of a partial range of the drying sensing area.

[0147] The preset area of ​​the above-mentioned drying rod assembly can be one or more, which is determined according to the actual installation environment and installation conditions of the visual recognition module. For example, when the visual recognition module is set on the long side of the side panel of the clothes drying machine, the preset area of ​​the drying rod assembly is generally located on the clothes drying rod; when the visual recognition module is set on the short side of the side panel of the clothes drying machine, the preset area of ​​the drying rod assembly is generally located on the small drying rod.

[0148] When the clothing detection unit is set in the preset area of ​​the drying rod assembly, if the clothing detection unit is a weighing unit, the weighing unit can be set in the preset area of ​​the drying rod assembly, and the main controller determines whether there are clothes drying in the preset area of ​​the drying rod assembly based on the weight information detected by the weighing unit.

[0149] When the clothing detection unit is set in the preset area of ​​the clothes drying rod assembly, if the clothing detection unit is a clothing detection sensor, the light source transmitting end and the receiving end of the clothing detection sensor can be respectively set at the two ends of the preset area of ​​the clothes drying rod assembly; for example, in the straight direction of the clothes drying rod, the range from point A to point B is the preset area, then the light source transmitting end can be installed at point A, and the receiving end can be installed at point B; wherein, if the visual recognition module is installed in the middle of the long side of the main unit side panel, then the preset area within the range from point A to point B is generally located in the middle section of the clothes drying rod; when there are clothes drying in the preset area, the receiving end cannot receive the light signal, and the main controller can determine that there are clothes drying in the preset area of ​​the clothes drying rod assembly.

[0150] Based on the setting of the clothing detection unit, the main controller of this embodiment can control the drying rod assembly to move to a preset position when human body information is detected in the drying sensing area and clothing information is detected on the drying rod assembly, or when human body information is detected in the drying sensing area and clothing information is detected on a preset area of ​​the drying rod assembly, so as to avoid the visual recognition module being blocked by clothes drying on the clothes drying machine.

[0151] In this embodiment, when the visual recognition module is installed at an inclination angle of preferably 25° to 35°, the preset position is set to be 15cm to 25cm from the upper limit of the clothes drying machine, and the upper limit of the clothes drying machine refers to the highest position that the drying rod assembly can run to. When the visual recognition module is installed at an inclination angle of 30 degrees or about 30 degrees, the preset position is selected as the position where the drying rod assembly is 18cm or about 18cm away from the upper limit of the clothes drying machine; based on this, the visual recognition module can better collect the image of the drying sensing area to avoid the obstruction of the clothes drying on the drying rod assembly.

[0152] In addition, in this embodiment, the visual recognition module can also be used to detect whether the drying rod assembly or there are clothes drying on the drying rod assembly. Specifically, when the human body detection unit detects that someone has entered the drying sensing area, the main controller controls the visual recognition module to capture images and identify whether there is clothing information in the image. If so, the drying rod assembly is controlled to run to a preset position. Clothing detection based on image information collected by the visual recognition module can save hardware expenditure costs, and when the clothes drying rod assembly is located in the drying position, such as the upper limit position, if the clothes drying on the drying rod assembly block the visual recognition module, then when the visual recognition module collects images at this time, the clothing information can be extracted from the image information. Even if clothes are drying on the drying rod assembly but the visual recognition module is not blocked, it means that these clothes cannot affect the visual recognition module. The visual recognition module can collect image information of the drying sensing area. At this time, even if the clothes drying rod assembly is not controlled to run to the preset position, its recognition rate will not be affected. Therefore, detecting clothing information through the visual recognition module can not only save hardware costs, but also improve the operating efficiency of the clothes drying machine, and avoid the situation where the clothes drying rod assembly needs to run to the preset position when there are clothes drying but not blocked.

[0153] Example 6

[0154] This embodiment discloses an electronic device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the clothes drying machine control method described in Embodiment 1, including:

[0155] Obtain human body detection information in the clothes drying sensing area;

[0156] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area; wherein the preset conditions are: human body information is detected in the drying sensing area.

[0157] and / or,

[0158] Implementing a clothes drying machine control method described in Embodiment 2 includes:

[0159] Obtain human body detection information in the clothes drying sensing area and clothes detection information on the clothes drying rod assembly;

[0160] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area; the preset conditions are: human body information is detected in the drying sensing area and clothing information is detected on the clothes drying rod assembly.

[0161] And / or, the clothes drying machine control method described in Embodiment 3 includes:

[0162] Obtaining human body detection information in the clothes drying sensing area of ​​the clothes drying machine and clothing detection information in the preset area on the clothes drying rod assembly;

[0163] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to the preset position, so that the visual recognition module can collect image information of the drying sensing area; wherein the preset conditions are: the drying sensing area detects human body information and the preset area on the clothes drying rod assembly detects clothing information, and the preset area refers to: the area on the clothes drying rod assembly that affects the visual recognition module from collecting images of the drying sensing area after drying clothes.

[0164] And / or the clothes drying machine control method described in embodiment 4, comprising:

[0165] Obtain human body detection information in the clothes drying sensing area;

[0166] When it is determined that someone has entered the drying sensing area according to the acquired human body detection information in the drying sensing area, the visual recognition module is controlled to collect image information;

[0167] Detect whether there is clothing information based on the image information collected by the visual recognition module;

[0168] If so, it is determined that the above preset conditions are met, and the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area.

[0169] If not, it is determined that the above preset conditions are not met, and there is no need to control the operation of the clothes drying rod assembly. The image information collected by the visual recognition module is directly recognized and processed so that the clothes drying machine can be controlled accordingly.

[0170] Among them, the above-mentioned preset conditions are: human body information is detected in the drying sensing area and clothing information is extracted from the image information collected by the visual recognition module before the drying rod assembly is operated.

[0171] In this embodiment, the electronic device may be a terminal device such as a mobile phone, a computer, or a tablet computer.

[0172] In this embodiment, the electronic device includes: a processor, a memory, a bus and a communication interface, and the processor, the communication interface and the memory are connected via the bus; the processor is configured to execute an executable module stored in the memory, such as a computer program.

[0173] Example 7

[0174] This embodiment discloses a storage medium storing a program. When the program is executed by a processor, the method for controlling a clothes drying machine described in Embodiment 1 is implemented, including:

[0175] Obtain human body detection information in the clothes drying sensing area;

[0176] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area; wherein the preset conditions are: human body information is detected in the drying sensing area.

[0177] and / or,

[0178] Implementing a clothes drying machine control method described in Embodiment 2 includes:

[0179] Obtain human body detection information in the clothes drying sensing area and clothes detection information on the clothes drying rod assembly;

[0180] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area; the preset conditions are: human body information is detected in the drying sensing area and clothing information is detected on the clothes drying rod assembly.

[0181] And / or, the clothes drying machine control method described in Embodiment 3 includes:

[0182] Obtaining human body detection information in the clothes drying sensing area of ​​the clothes drying machine and clothing detection information in the preset area on the clothes drying rod assembly;

[0183] When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to the preset position, so that the visual recognition module can collect image information of the drying sensing area; wherein the preset conditions are: the drying sensing area detects human body information and the preset area on the clothes drying rod assembly detects clothing information, and the preset area refers to: the area on the clothes drying rod assembly that affects the visual recognition module from collecting images of the drying sensing area after drying clothes.

[0184] And / or the clothes drying machine control method described in embodiment 4, comprising:

[0185] Obtain human body detection information in the clothes drying sensing area;

[0186] When it is determined that someone has entered the drying sensing area according to the acquired human body detection information in the drying sensing area, the visual recognition module is controlled to collect image information;

[0187] Detect whether there is clothing information based on the image information collected by the visual recognition module;

[0188] If so, it is determined that the above preset conditions are met, and the clothes drying rod assembly of the clothes drying machine is controlled to move to a preset position, so that the visual recognition module collects image information of the drying sensing area.

[0189] If not, it is determined that the above preset conditions are not met, and there is no need to control the operation of the clothes drying rod assembly. The image information collected by the visual recognition module is directly recognized and processed so that the clothes drying machine can be controlled accordingly.

[0190] Among them, the above-mentioned preset conditions are: human body information is detected in the drying sensing area and clothing information is extracted from the image information collected by the visual recognition module before the drying rod assembly is operated.

[0191] In this embodiment, the storage medium may be a disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), a USB flash drive, a mobile hard disk, or the like.

[0192] The above is only an optional implementation method for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the solution of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.

Claims

1. A clothes drying machine control method, characterized in that: The method is applied to a clothes drying machine with a visual recognition module installed on a host, and comprises: Obtain human body detection information in the clothes drying sensing area; When the preset conditions are met, the clothes drying rod assembly of the clothes drying machine is controlled to move to the preset position, so that the visual recognition module can collect image information of the drying sensing area; The preset condition is that the drying sensing area detects human body information; The preset position is a position where the drying rod assembly is a fixed distance away from the upper limit of the clothes drying machine. When the drying rod assembly is at this position, the visual recognition module can collect image information of the drying sensing area.

2. The clothes drying machine control method according to claim 1, characterized in that: Before controlling the clothes drying rod assembly of the clothes drying machine to move to a preset position, the method further includes: obtaining detection information of clothes on the clothes drying rod assembly; The preset condition is that human body information is detected in the drying sensing area and clothing information is detected on the drying rod assembly.

3. The clothes drying machine control method according to claim 1, characterized in that: Before controlling the clothes drying rod assembly of the clothes drying machine to move to the preset position, the method further includes: obtaining clothes detection information of a preset area on the clothes drying rod assembly; the preset area on the clothes drying rod assembly refers to an area on the clothes drying rod assembly that affects the visual recognition module to collect an image of the drying sensing area after the clothes are dried; The preset condition is that human body information is detected in the drying sensing area and clothing information is detected in the preset area of ​​the drying rod component.

4. The clothes drying machine control method according to claim 1, characterized in that: Before controlling the clothes drying rod assembly of the clothes drying machine to move to the preset position, the method further includes: controlling the visual recognition module to collect image information; determining that clothing information is detected based on the image information collected by the visual recognition module; The preset condition is that the human body information is detected in the drying sensing area and the clothing information is extracted from the image information collected by the visual recognition module before the drying rod assembly is operated.

5. The clothes drying machine control method according to claim 1, characterized in that: The image information includes face information; After the visual recognition module collects the image information of the drying sensing area, it also includes: Detecting facial information based on the collected image information; According to the detected face information, the identity of the user entering the drying sensing area is determined; When receiving a command to lower the clothes drying rod assembly, the clothes drying rod assembly is controlled to lower to a corresponding height according to the user's identity; Wherein, each user identity is configured with at least one piece of height information of the drying rod component; Alternatively, the image information includes gesture information; after the visual recognition module collects the image information of the drying sensing area, it also includes: Based on the collected image information, gesture features are extracted and gesture actions are determined; Controlling the clothes drying machine to perform corresponding functions according to the determined gesture action; Alternatively, the image information includes face information and gesture information; after the visual recognition module collects the image information of the drying sensing area, it also includes: Detect whether there is face information in the collected image information; If there is face information in the image, gesture features are extracted from the image information to determine the gesture action; The clothes drying machine is controlled to execute corresponding functions according to the determined gesture actions.

6. The clothes drying machine control method according to claim 1, characterized in that: The visual recognition module is installed obliquely on the side panel of the main body of the clothes drying machine, and the inclination angle is 10° to 85°, where the inclination angle refers to the angle between the central axis of the visual recognition module and the plumb line; When the visual recognition module is installed at an inclination angle of 25° to 35°, the preset position is set to be 15 cm to 25 cm away from the upper limit of the clothes drying machine from the drying rod assembly.

7. A clothes drying machine control system, characterized in that: It includes a main controller, a visual recognition module and a human detection unit; The visual recognition module is connected to the main controller and performs image acquisition of the drying sensing area under the control of the main controller; The human body detection unit is connected to the main controller and is used to detect human body information in the drying sensing area of ​​the clothes drying machine; The main controller is used to execute the clothes drying machine control method according to any one of claims 1 to 6.

8. The clothes drying machine control system according to claim 7, characterized in that: It also includes a clothing detection unit; the clothing detection unit is connected to the main controller and is used to detect clothing information on the drying rod assembly and feed it back to the main controller; The clothing detection unit includes a weighing unit and / or a clothing detection sensor. The weighing unit is connected to the main control and is used to detect the weight information on the drying rod assembly; The clothing detection sensor comprises a light source transmitting end and a receiving end arranged at both ends of the drying rod of the drying rod assembly. The receiving end is connected to the main controller and is used to receive the light signal emitted by the light source transmitting end and feed it back to the main controller.

9. An electronic device, comprising: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the clothes drying machine control method described in any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the clothes drying machine control method according to any one of claims 1 to 6 is implemented.

Images