Control method of washing machine and washing machine

Abstract

The application provides a control method of a washing machine and the washing machine. The washing machine comprises a drum providing a processing space for clothes to be processed; a cabinet providing a housing for the washing machine and providing an installation space for the drum, wherein one side of the cabinet is provided with an opening, a door body cover is arranged at the opening of the cabinet and is rotatably connected with the cabinet; and an image acquisition device is configured to shoot a picture of clothes sent into the drum. The control method of the washing machine comprises the following steps: controlling the image acquisition device to shoot the clothes sent into the drum to obtain a shooting picture; performing a grayscale processing on the shooting picture to obtain a clothes image; identifying the clothes image to determine the type and quantity of the clothes; and selecting a corresponding sterilization mode according to the type and quantity of the clothes to process the clothes. Thus, the washing machine can automatically adapt to different sterilization modes according to the clothes to be processed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of washing machines, in particular to a control method of a washing machine and the washing machine. BACKGROUND

[0002] In order to better meet the needs of users for clothes processing, the method for processing clothes in the current washing machine has become more and more common. For example, the clothes to be processed are processed by high-temperature water, steam, sampling, ultraviolet rays, etc. However, when the clothes are processed by these washing machines, the same sterilization mode and sterilization intensity are adopted regardless of the number and type of clothes. This makes some clothes be over-processed, resulting in damage to the clothes, and some clothes have insufficient sterilization intensity, resulting in poor sterilization effect.

[0003] Therefore, how to enable the washing machine to automatically adapt to different sterilization modes according to the clothes to be processed is a problem to be solved at present. SUMMARY

[0004] The present application aims to solve the technical problem of how to enable the steam generator applied to the washing machine to only spray steam during operation.

[0005] In a first aspect, the present application provides a control method of a washing machine, the washing machine comprising: a drum providing a processing space for clothes to be processed; a cabinet providing a housing for the washing machine and providing a mounting space for the drum, wherein one side of the cabinet has an opening, a door body cover is arranged at the opening of the cabinet and is rotatably connected with the cabinet; and an image acquisition device configured to capture a picture of the clothes sent into the drum.

[0006] The control method of the washing machine comprises: controlling the image acquisition device to capture the clothes sent into the drum to obtain a captured image; performing grayscale processing on the captured image to obtain a clothes image; identifying the clothes image to determine the type and quantity of the clothes; and selecting a corresponding sterilization mode according to the type and quantity of the clothes to process the clothes.

[0007] In the present application, since the washing machine cannot adapt to the clothes to be processed and automatically select the sterilization mode, the clothes to be processed are photographed by the image acquisition device to obtain a captured image, the captured image is subjected to grayscale processing to obtain a clothes image, the type and quantity of the clothes to be processed are determined according to the clothes image, and finally the most suitable sterilization mode is determined according to the quantity and type of the clothes, so that the clothes are subjected to sterilization processing under the premise of ensuring the sterilization effect and not damaging the clothes.

[0008] In an embodiment of the present application, the control of the image acquisition device to capture the clothes sent into the drum to obtain the captured image includes: when the door body is sensed to be opened, the image acquisition device is controlled to capture at a first frequency to obtain drum images; if two adjacent drum images are inconsistent, the image acquisition device is controlled to capture at a second frequency greater than the first frequency to obtain the captured image.

[0009] In the embodiment, after the door of the washing machine is opened, the image acquisition device is controlled to capture at a slow frequency when the door is opened to determine when the user starts to put in the clothes. The clothes are captured at a fast frequency when the clothes are put in to obtain more images of the clothes, which facilitates the analysis of the type and quantity of the clothes. Therefore, the present application captures the images at a slow first frequency when the door of the washing machine is opened and captures the images at a second frequency when the user puts in the clothes, thereby saving the camera resources and storage space of the washing machine.

[0010] In an embodiment of the present application, the gray-scale processing of the captured image to obtain the clothes image includes: obtaining the gray-scale value corresponding to each pixel point according to the pixel value of each pixel point in the captured image; and reconstructing the captured image according to the gray-scale value corresponding to each pixel point in the captured image to obtain the clothes image.

[0011] In the embodiment, the gray-scale value corresponding to each pixel point is obtained according to the pixel value of each pixel point in the captured image, and the captured image is gray-scale processed to obtain the clothes image. The captured image is processed into a gray-scale image, so that the washing machine only needs to obtain the gray-scale value of each pixel point of the clothes image when identifying the clothes image, and does not need to analyze the pixel value of the pixel point, which makes the processing of the clothes image more convenient and simple and saves the computing resources of the washing machine.

[0012] In an embodiment of the present application, the identification of the clothes image to determine the quantity of the clothes includes: determining whether the current clothes image is a blurred clothes image or a clear clothes image according to the distribution of the gray-scale value of each pixel point in the clothes image in each value interval; taking the occurrence of the blurred clothes image as a starting point and the occurrence of the next blurred clothes image as an ending point to form a clothes putting period, and counting the quantity of the clothes putting period as the quantity of the clothes.

[0013] In the embodiment, based on the principle that the clothes are clear in the still state when the photos are taken, the fuzzy clothes image is taken as the starting point, and the next fuzzy clothes image is taken as the ending point, which is regarded as a cycle, that is, the process of placing a piece of clothes. When several cycles appear during the clothes placing, it can be known that several pieces of clothes are placed. Through this way, the number of clothes is known. On the one hand, the user does not need to input the number of clothes, which improves the user experience. On the other hand, based on the characteristics of the image acquisition device, the clothes data is acquired without additional clothes number acquisition device, which saves the hardware resources of the washing machine.

[0014] In an embodiment of the present application, the clothes image is identified to determine the type of clothes, comprising: acquiring the clear clothes image in the clothes placing cycle; obtaining the clothes contour line in each clear clothes image according to the gray value change trend between the pixel points in the clear clothes image; determining the clothes type contained in each clear clothes image according to the clothes contour line, and taking it as a candidate clothes type; taking the candidate clothes type with the most occurrences as the type of clothes placed in the clothes placing cycle.

[0015] In the embodiment, based on the principle that the clothes edge and the surrounding environment have a large difference in gray value in the clothes image, the clothes contour curve in the clothes image is determined according to the change trend of the pixel gray value for all clear clothes images in the current clothes placing cycle. Then, the clothes type contained in the clear clothes image is determined according to the clothes contour curve, which is taken as a candidate clothes type. Finally, the candidate clothes type with the most occurrences is taken as the type of clothes placed in the current clothes placing cycle. On the one hand, the clothes contour curve is determined only by the change trend of the gray value between the pixel points in the clothes image, which improves the efficiency of the washing machine in identifying the clothes image in a convenient identification manner. On the other hand, the clothes type placed in the current clothes placing cycle is determined by identifying and statistically summarizing multiple clear clothes images, which ensures the accuracy of obtaining the clothes type from the clothes image.

[0016] In an embodiment of the present application, the clothes contour line is used to determine the clothes type contained in each clear clothes image, comprising: determining the clothes type contained in the clear clothes image according to the size of the pattern formed by the clothes contour line in the clear clothes image.

[0017] In the embodiment, based on the principle that the volume of different clothes is inconsistent, the type of clothes contained in the clear clothes image is determined according to the size of the pattern formed by the clothes contour line, and then the type of clothes is obtained without a series of complex algorithms, which greatly saves the computer resources of the washing machine and improves the efficiency of determining the type of clothes.

[0018] In an embodiment of the present application, before the type of clothes contained in each clear clothes image is determined in sequence according to the clothes contour line, the method further comprises: deleting or ignoring the clothes contour line that appears before the clothes placement period in the clothes contour line obtained in the clothes placement period.

[0019] In the embodiment, the clothes contour line that appears before the clothes placement period is deleted or ignored in the clothes contour line obtained in the clothes placement period. The influence of the clothes placed before the clothes placement period on the extraction of the clothes contour line in the clothes placement period is reduced, and the accuracy of the type of clothes determined according to the clothes contour line is increased.

[0020] In an embodiment of the present application, the door body comprises a door frame arranged at the edge of the opening of the box body, and the image acquisition device is arranged on the door frame.

[0021] In the embodiment, the image acquisition device is arranged above the door frame of the washing machine, so that the image acquisition device can be photographed in a fixed position, a larger image can be photographed, and the arrangement of wires of the image acquisition device is facilitated. On the other hand, when the door body is closed, the image acquisition device is sealed in the door seal of the door, so that the problem of water encountering the image acquisition device is solved.

[0022] In a second aspect, the embodiment of the present application provides a washing machine, which comprises: a drum for providing a processing space for clothes to be processed; a box body for configuring a housing of the washing machine and providing a mounting space for the drum, wherein one side of the box body has an opening, a door body is arranged at the opening of the box body and is rotatably connected with the box body; an image acquisition device for photographing a picture of clothes sent into the drum; and a controller configured as: a photographing unit for controlling the image acquisition device to photograph the clothes sent into the drum to obtain a photographed image; a processing unit for performing grayscale processing on the photographed image to obtain a clothes image; an identification unit for identifying the clothes image to determine the type and quantity of clothes; and a matching unit for selecting a corresponding sterilization mode according to the type and quantity of clothes to process the clothes.

[0023] In the embodiment of the present application, the laundry machine cannot determine the type and quantity of the laundry to be treated. The image acquisition device is used to take a picture of the laundry to be treated, and a photographed image is obtained. The photographed image is subjected to a grayscale processing to obtain a laundry image. The type and quantity of the laundry to be treated are determined according to the laundry image. Finally, the most suitable sterilization mode is determined according to the quantity and type of the laundry, so that the sterilization effect is ensured and the laundry is not damaged, and the laundry is subjected to a sterilization treatment.

[0024] Other characteristics and advantages of the present application will become apparent from the following detailed description, or will be learned by practice of the present application.

[0025] It should be understood that the foregoing general description and the following detailed description are only examples and are not restrictive of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0026] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings in which:

[0027] Figure 1 A structural schematic diagram of a laundry machine according to one embodiment of the present application is shown.

[0028] Figure 2 A flow chart of a control method of a laundry machine according to one embodiment of the present application is shown.

[0029] Figure 3 A flow chart of controlling the image acquisition device to take a picture of the laundry sent into the drum to obtain a photographed image according to one embodiment of the present application is shown.

[0030] Figure 4 A flow chart of subjecting the photographed image to a grayscale processing to obtain a laundry image according to one embodiment of the present application is shown.

[0031] Figure 5 A flow chart of identifying the laundry image to determine the quantity of the laundry according to one embodiment of the present application is shown.

[0032] Figure 6 A flow chart of identifying the laundry image to determine the type of the laundry according to one embodiment of the present application is shown. DETAILED DESCRIPTION

[0033] Example implementations are now described with reference to the drawings. Example implementations can, however, be implemented in many different forms and should not be construed as limited to the examples set forth herein; rather, these example implementations are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the example implementations to those skilled in the art. The figures are not necessarily to scale, and the same reference numerals in different figures designate the same or similar components. For clarity, not all of the individual components of the figures are shown in each figure.

[0034] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more example implementations. In the following description, numerous specific details are provided to give a thorough understanding of example implementations. One skilled in the relevant art will recognize, however, that the

[0035] Some of the block diagrams in the drawings are functional entities that do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0036] The present application provides a washing machine, comprising a cabinet, an outer drum, a drum, and an image acquisition device. Please refer to Figure 1 , Figure 1 A structural schematic diagram of a washing machine according to an embodiment of the present application is shown.

[0037] The cabinet is generally in the form of a hollow rectangular cuboid, and is configured as an outer shell of the washing machine. The appearance shape of the cabinet can also be in other shapes, which can be designed as needed and is not limited herein. The internal space of the cabinet provides installation space for components such as the outer drum and the drum. The cabinet has an opening on one side, and a door body cover is arranged at the opening of the cabinet and is rotatably connected with the cabinet.

[0038] The outer drum is arranged in the installation space in the cabinet, and is relatively fixed inside the cabinet.

[0039] The drum is rotatably arranged in the accommodation space of the outer drum.

[0040] The image acquisition device is arranged in the washing machine and is used for shooting clothes sent into the drum.

[0041] Please refer to Figure 2 , Figure 2A flow chart of a control method of a washing machine is shown according to an embodiment of the present application. The present application provides a step of a control method of a washing machine, comprising:

[0042] Step S210, controlling the image acquisition device to capture the clothes sent into the drum to obtain a captured image;

[0043] Step S220, performing a grayscale processing on the captured image to obtain a clothes image;

[0044] Step S230, identifying the clothes image to determine the type and quantity of the clothes;

[0045] Step S240, selecting a corresponding sterilization mode according to the type and quantity of the clothes to process the clothes.

[0046] The above three steps are described in detail as follows.

[0047] In step S210, the image acquisition device is controlled to capture the clothes sent into the drum to obtain a captured image. It should be noted that the clothes captured by the image acquisition device can be the clothes in the drum, or the image obtained by capturing the clothes during the process of placing the clothes.

[0048] For example, refer to Figure 3 , Figure 3 A flow chart of controlling the image acquisition device to capture the clothes sent into the drum to obtain a captured image is shown according to an embodiment of the present application. The present application provides step S210 of controlling the image acquisition device to capture the clothes sent into the drum to obtain a captured image, comprising:

[0049] Step S211, when the door body is sensed to be opened, controlling the image acquisition device to capture at a first frequency to obtain a drum image;

[0050] Step S212, if the adjacent two drum images are inconsistent, controlling the image acquisition device to capture at a second frequency greater than the first frequency to obtain a captured image.

[0051] The above two steps are described in detail as follows.

[0052] In step S211, after the door is opened, the image acquisition device is controlled to capture the inside of the drum at a slow frequency, i.e., the first frequency, to obtain a drum image.

[0053] In step S212, the adjacent drum images are compared to determine when the user starts to put the laundry. At the beginning of the shooting, the drum image captured by the image acquisition device is without laundry, and if the user puts the laundry into the drum, the image obtained by the shooting at this time will have laundry, which is completely different from the previous drum image without laundry, which indicates that the user starts to put the laundry at this time.

[0054] After determining that the user starts to put the laundry, the shooting frequency of the image acquisition device is adjusted, so that the image acquisition device shoots at a second frequency greater than the first frequency to obtain more laundry images. Analyzing more laundry images can improve the accuracy of the type of laundry and the accuracy of the quantity of laundry.

[0055] The embodiment of the present application shoots at a slower first frequency when determining whether the user starts to put the laundry, and shoots at a faster second frequency when the user puts the laundry, thereby saving the camera resources and storage space of the washing machine.

[0056] In step S220, the shooting image is subjected to grayscale processing, that is, the pixel points of various colors in a color image are converted into gray pixel points to obtain a laundry image.

[0057] Converting the shooting image into a grayscale image makes the washing machine only need to obtain the grayscale values of the pixel points of the laundry image when identifying the laundry image, and no longer needs to analyze the shooting image according to the pixel values of the pixel points, so that the processing of the laundry image is more convenient and simple, and the computing resources of the washing machine are saved.

[0058] For details, please refer to Figure 4 , Figure 4 A flowchart for converting the shooting image into a grayscale image to obtain a laundry image according to an embodiment of the present application is shown. The embodiment of the present application provides step S220 for converting the shooting image into a grayscale image to obtain a laundry image, which includes:

[0059] In step S221, the grayscale values corresponding to the pixel points are obtained according to the pixel values of the pixel points in the shooting image.

[0060] In step S222, the shooting image is reconstructed according to the grayscale values corresponding to the pixel points in the shooting image to obtain the laundry image.

[0061] The above two steps are described in detail below.

[0062] The photographed image is composed of a plurality of pixel points, and the number of bits occupied by each pixel point represents the size of the value of the single pixel. A pixel point is represented by 8 binary bits, so it represents a pixel from 0-255. For example, a photographed image has a width of 500 pixel points and a height of 338 pixel points, a total of 500*338=149000 pixel points.

[0063] Because the color of a pixel point is represented by three values R, G, and B, the pixel point can be represented by three values, such as (240, 223, 204).

[0064] In step S221, the gray value corresponding to each pixel point in the photographed image is determined according to the pixel value of each pixel point. Gray value is a value indicating the brightness of an image, i.e., the color depth of a point in a black and white image. The range is generally from 0 to 255, with white being 255 and black being 0. Therefore, a black and white image is also called a gray scale image. The gray value refers to the brightness of a single pixel point. The larger the gray value, the brighter it is.

[0065] For the acquisition of the gray value corresponding to the pixel point, the average value of the above-mentioned (R, G, B) three values can be taken as the gray value corresponding to the pixel point.

[0066] In step S222, the image is reconstructed according to the gray value corresponding to each pixel point in the photographed image, or the pixel value of each pixel point in the photographed image is converted into the corresponding gray value to obtain the gray scale image of the photographed image, i.e., the clothing image.

[0067] In step S230, after obtaining the clothing image, the pixel points representing the clothing in the clothing image are obtained according to the gray value of each pixel point in the clothing image, and the type of the clothing in the clothing image is determined according to the pixel points representing the clothing.

[0068] According to the change of the proportion of the clothing part in the clothing image, the number of clothes placed in the washing machine is determined. For example, the proportion of the clothing part in the entire clothing image is calculated and recorded. If the proportion of the clothing part in several clothing images fluctuates within a certain range, it means that the several clothing images correspond to the same clothing.

[0069] According to the order of generation of the clothing image, it can be known that the proportion of the clothing part in the clothing image has changed several times, and the number of changes is the number of clothes.

[0070] Please refer to Figure 5 , Figure 5A flowchart of identifying a clothes image and determining a number of clothes according to an embodiment of the present application is shown. The embodiment of the present application provides a step S230 of identifying a clothes image and determining a number of clothes, which includes:

[0071] In step S231a, whether the current clothes image is a fuzzy clothes image or a clear clothes image is determined according to the distribution of the gray value of each pixel point in the clothes image in each value interval.

[0072] In step S232a, a clothes placement period is formed from the appearance of the fuzzy clothes image as a starting point to the appearance of the next fuzzy clothes image as an ending point, and the number of clothes is counted as the number of clothes placement periods.

[0073] The above two steps are described in detail below.

[0074] When a large number of pixel points with similar gray values appear in the clothes image, the boundary of the clothes or the real object contained in the clothes image is not clear, that is, the gray image at this time is a fuzzy clothes image.

[0075] In step S231a, the gray value of each pixel point in the clothes image is counted, and whether the clothes image is a clear clothes image is determined according to the distribution of the gray value of each pixel point in the clothes image.

[0076] Specifically, in the gray value interval of 0-255, a first threshold value and a second threshold value are set, the second threshold value is greater than the first threshold value, the number of pixel points with gray values between the first threshold value and the second threshold value is obtained, and when the number of pixel points accounts for more than a proportion threshold value in the total number of pixel points in the clothes image, it is indicated that the gray values of most pixel points in the clothes image are similar, that is, the clothes image is a fuzzy clothes image. When the number of pixel points with gray values between the first threshold value and the second threshold value accounts for no more than the proportion threshold value in the total number of pixel points in the clothes image, it is indicated that the clothes image is a clear clothes image.

[0077] In step S232a, based on the principle that the clothes will appear fuzzy and residual image when taking a picture in the placement process, and the clothes are clear when taking a picture in a static state, a clothes placement period is formed from the appearance of the fuzzy clothes image as a starting point to the appearance of the next fuzzy clothes image as an ending point, that is, each clothes placed will generate a clothes placement period, and therefore the number of clothes can be counted as the number of clothes placement periods.

[0078] Please refer to Figure 6 , Figure 6 A flowchart of identifying a clothes image and determining a type of clothes according to an embodiment of the present application is shown. The embodiment of the present application provides a step S230 of identifying a clothes image and determining a type of clothes, which includes:

[0079] S231b, obtaining a clear laundry image in the laundry placement period;

[0080] S232b, obtaining a laundry contour line in each clear laundry image according to a gray value change trend between pixel points in the clear laundry image;

[0081] S233b, determining a laundry type contained in each clear laundry image according to the laundry contour line, and taking the laundry type as a candidate laundry type;

[0082] S234b, taking a candidate laundry type with the most occurrences as a type of the laundry placed in the laundry placement period.

[0083] The above four steps will be described in detail.

[0084] In step S231b, all clear laundry images in the current laundry placement period are obtained for analysis.

[0085] In step S232b, the laundry on the upper layer is different in color or brightness from the laundry on the lower layer and the drum in the current laundry placement period. The laundry on the upper layer and the laundry on the lower layer and the drum are different in gray value in the clear laundry image, or there is a shadow area at the stacked laundry due to light. Therefore, the gray values of the pixel points on both sides of the contour line of the laundry will certainly have a large difference, which can be used to determine the contour curve of the laundry in the clear laundry image.

[0086] Specifically, according to the gray value change trend between pixel points in each clear laundry image, a pixel point pair with a gray value difference greater than a set range is obtained as a laundry contour point, and a line formed by all the laundry contour points is a laundry contour line.

[0087] In step S233b, the laundry contour line in the clear laundry image is compared with a pre-stored common laundry contour line to obtain the possibility of each type of laundry corresponding to the laundry contour line, and the laundry type with the maximum possibility is taken as the type of the laundry contained in the clear laundry image and as a candidate laundry type. The above method is used to analyze each clear laundry image in the current placement period to obtain the type of the laundry contained in each clear laundry image.

[0088] In another embodiment of the present application, considering that different types of laundry have different sizes, the size of the pattern formed by the laundry contour line is also different. Therefore, after obtaining the laundry contour line in the clear laundry image, the type of the laundry contained in each clear laundry image can also be determined according to the size of the laundry contour line in each clear laundry image and taken as a candidate laundry type.

[0089] It needs to be clear that, in another embodiment of the present application, in order to reduce the clothes placed before the present clothes placement period, the clothes contour line of the clothes placed before the present clothes placement period also affects the identification of the clothes category when analyzing the clear clothes image of the present clothes placement period, so the clothes contour line of the clothes placed before the present clothes placement period is obtained, compared with the clothes contour line of the present clothes placement period, the same clothes contour line is found, and the clothes contour line obtained in the present clothes placement period is deleted or ignored, that is, when identifying the clothes category according to the clothes contour line, the clothes contour line appearing before is not calculated.

[0090] In step S234b, considering that if only one row of clear clothes images is identified to determine the clothes placed in the present clothes placement period, errors may occur, therefore, in order to ensure the accuracy of the judgment of the clothes category, the candidate clothes category with the most occurrences is taken as the category of the clothes placed in the present clothes placement period.

[0091] In step S240, the degerming mode and / or the degerming degree of the washing machine are determined according to the number and category of the clothes. The degerming mode of the washing machine according to the number and category of the clothes means that different degerming modes are applied according to the different categories and numbers of the clothes,

[0092] For example, for underwear, underpants or pajamas, high-temperature water, steam, ozone, ultraviolet and other methods are used for disinfection, and degerming agents or bleaching agents are not suitable, so as to avoid damage to the human body caused by residues on the clothes.

[0093] When the number of clothes is small, and the clothes are small clothes such as underwear, underpants or pajamas, the washing machine automatically adapts to low-grade long-time degerming, because the fabrics of these clothes are generally fragile, so low-grade long-time degerming is adopted, and low-grade means weak degerming strength, such as using less degerming articles such as high-temperature water, steam, ozone, and weaker degerming light such as ultraviolet light, etc.

[0094] In an embodiment of the present application, in the embodiment, the image acquisition device is arranged above the door frame of the washing machine, so that the image can be shot in a fixed position, the image can be shot in a larger area, and the image acquisition device is convenient for arranging wires. On the other hand, when the door body is closed, the image acquisition device is sealed in the door seal, solving the problem of water encountered by the image acquisition device.

[0095] In an embodiment of the present application, the present application also discloses a washing machine, which comprises: a drum for providing a processing space for clothes to be processed; a box body for constructing an outer shell of the washing machine and providing a mounting space for the drum, wherein one side of the box body has an opening, a door body cover is arranged at the opening of the box body and is rotatably connected with the box body, and an image acquisition device is arranged for shooting the picture of the clothes sent into the drum; and a controller is arranged for controlling the operation of the washing machine.

[0096] The controller can be configured to: a photographing unit configured to control the image acquisition device to photograph the clothes in the drum to obtain a photographed image; a processing unit configured to perform grayscale processing on the photographed image to obtain a clothes image; an identification unit configured to identify the clothes image to determine the type and quantity of the clothes; and a matching unit configured to select a corresponding sterilization mode according to the type and quantity of the clothes to process the clothes.

[0097] In the embodiments of the present application, the controller is further configured to perform any method in the above embodiments.

[0098] The washing machine and the control method of the washing machine provided by the above embodiments can obtain a photographed image by photographing the clothes to be processed by the image acquisition device, perform grayscale processing on the photographed image to obtain a clothes image, determine the type and quantity of the clothes according to the clothes image, and finally determine the most suitable sterilization mode according to the quantity and type of the clothes, so that the clothes are sterilized under the premise of ensuring the sterilization effect and not damaging the clothes.

[0099] From the above description of the embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solutions according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.) or a network, and includes a number of instructions to enable a washing machine to perform the method according to the embodiments of the present application.

[0100] It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, such division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into a plurality of modules or units.

[0101] In addition, although the steps of the method in the present application are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired result. Additionally or alternatively, some steps can be omitted, a plurality of steps can be combined into one step, and / or one step can be divided into a plurality of steps, etc.

[0102] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

Claims

1. A control method for a washing machine, characterized in that, The washing machine includes: Rollers provide a processing space for clothes to be processed; The casing serves as the outer shell of the washing machine and provides installation space for the drum. An opening is located on one side of the casing, and a door is fitted over the opening and rotatably connected to the casing. Image acquisition device, used to capture images of underwear being fed into the drum; The control method for the washing machine includes: The image acquisition device is controlled to capture images of the clothes fed into the drum, thereby obtaining captured images; The captured image is converted to grayscale to obtain an image of the clothing. The clothing image is identified to determine the type and quantity of clothing; wherein, based on the distribution of gray values ​​of each pixel in the clothing image in each value range, it is determined whether the current clothing image is a blurry clothing image or a clear clothing image; taking the appearance of a blurry clothing image as the starting point and the appearance of the next blurry clothing image as the ending point, a clothing placement cycle is formed, and the number of clothing placement cycles is counted as the number of clothing items. Select the appropriate sterilization mode to treat the clothing based on its type and quantity.

2. The method according to claim 1, characterized in that, The process of controlling the image acquisition device to capture images of the clothing fed into the drum and obtaining captured images includes: When the door is sensed to be open, the image acquisition device is controlled to take pictures at a first frequency to acquire images of the drum. If two adjacent roller images are inconsistent, the image acquisition device is controlled to take pictures at a second frequency greater than the first frequency to acquire the captured images.

3. The method according to claim 2, characterized in that, The step of converting the captured image to grayscale to obtain a clothing image includes: Based on the pixel values ​​of each pixel in the captured image, obtain the grayscale value corresponding to each pixel. The clothing image is obtained by reconstructing the captured image based on the grayscale values ​​corresponding to each pixel in the captured image.

4. The method according to claim 1, characterized in that, The process of identifying the clothing image and determining the type of clothing includes: Obtain clear images of the clothing during the clothing placement cycle; Based on the trend of grayscale value change between pixels in the clear clothing image, the clothing outline in each clear clothing image is obtained sequentially. Based on the clothing outline, the types of clothing contained in each of the clear clothing images are determined sequentially and used as candidate clothing types; The candidate clothing type that appears most frequently will be selected as the type of clothing to be placed during the clothing placement cycle.

5. The method according to claim 4, characterized in that, The step of determining the types of clothing included in each of the clear clothing images according to the clothing outline includes: The type of clothing contained in the clear clothing image is determined based on the size of the pattern formed by the outline of the clothing in the clear clothing.

6. The method according to claim 4, characterized in that, Before determining the types of clothing included in each of the clear clothing images according to the clothing outline, the method further includes: In the clothing outline obtained during the clothing placement cycle, clothing outlines that appeared before the clothing placement cycle are deleted or ignored.

7. The method according to claim 1, characterized in that, The door includes a door frame disposed at the edge of the box opening, and the image acquisition device is disposed on the door frame.

8. A washing machine, characterized in that, The washing machine includes: Rollers provide a processing space for clothes to be processed; The casing serves as the outer shell of the washing machine and provides installation space for the drum. An opening is located on one side of the casing, and a door is fitted over the opening and rotatably connected to the casing. Image acquisition device, used to capture images of underwear being fed into the drum; The controller is configured to: The imaging unit is used to control the image acquisition device to capture images of the clothes fed into the drum; The processing unit is used to perform grayscale processing on the captured image to obtain a clothing image; The identification unit is used to identify the clothing image and determine the type and quantity of clothing; wherein, based on the distribution of gray values ​​of each pixel in the clothing image in each value range, it determines whether the current clothing image is a blurry clothing image or a clear clothing image; taking the appearance of a blurry clothing image as the starting point and the appearance of the next blurry clothing image as the ending point, a clothing placement cycle is formed, and the number of clothing placement cycles is counted as the number of clothing items. The matching unit is used to select the corresponding sterilization mode to process the clothing according to the type and quantity of the clothing.

9. The washing machine according to claim 8, characterized in that, The controller is also configured to perform the method described in any one of claims 2 to 7.

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