CN114507968A - Clothes detection method, device, equipment and storage medium for washing machine - Google Patents

Abstract

The invention belongs to the technical field of intelligent washing machines, and particularly relates to a washing machine clothes detection method, device, equipment and storage medium. The invention aims to solve the problem that the existing clothes detection result is inaccurate. According to the embodiment of the invention, first image information is obtained by carrying out image acquisition on clothes to be washed in an inner drum of a washing machine; controlling the inner drum of the washing machine to rotate according to the first image information so as to adjust the position of the clothes to be washed in the inner drum of the washing machine; and acquiring an image of the clothes to be washed in the rotating inner drum of the washing machine to obtain second image information, and detecting the clothes according to the second image information. The condition of the clothes in the inner drum of the washing machine is analyzed through the first image information, the inner drum of the washing machine is controlled to rotate, so that second image information capable of better representing the characteristics of the clothes is obtained, the clothes are detected according to the second image information, the recognition rate of the clothes in the washing machine can be improved, and the recognition effect is improved.

Description

Method, device, device and storage medium for detecting clothes in washing machine

technical field

The invention belongs to the technical field of smart home appliances, and in particular relates to a method, device, equipment and storage medium for detecting clothes of a washing machine.

Background technique

With the popularization of smart home appliances, more and more users have begun to use smart home appliances. Through the iteration and upgrade of product functions, the functions of smart home appliances have become more and more perfect. At present, in order to realize a fully automated laundry operation process, the intelligent washing machine needs to detect the laundry placed in the inner tub of the washing machine before the washing machine starts the laundry operation, so as to determine the safety of the working environment and match the appropriate laundry program.

However, when there are a lot of laundry in the smart washing machine, inaccurate laundry detection results will result, resulting in incorrect matching of laundry programs, affecting laundry effects, and even using safety issues.

Accordingly, there is a need in the art for a new laundry detection method, device, device and storage medium for washing machines to solve the above problems.

SUMMARY OF THE INVENTION

In order to solve the above problems in the prior art, that is, in order to solve the problem of inaccurate clothes detection results of the existing washing machines, the present invention provides a washing machine clothes detection method, device, equipment and storage medium.

According to a first aspect of the embodiments of the present invention, the present invention provides a method for detecting clothes in a washing machine, including: collecting images of the clothes to be washed in the inner tub of the washing machine to obtain first image information; according to the first image information, controlling The inner tub of the washing machine is rotated to adjust the position of the laundry in the inner tub of the washing machine; image acquisition of the laundry in the inner tub of the washing machine after rotation is performed to obtain second image information, and according to the second image information Image information for clothing detection.

In a preferred technical solution of the above method for detecting clothes in a washing machine, controlling the rotation of the inner tub of the washing machine according to the first image information includes: determining the occlusion information of the clothes to be washed according to the first image information, and the The occlusion information is used to represent the occlusion degree between the clothes in the laundry; according to the occlusion information, the rotation program of the inner drum of the washing machine is determined; according to the rotation program of the inner drum of the washing machine, the rotation of the inner drum of the washing machine is controlled.

In a preferred technical solution of the above method for detecting laundry in a washing machine, the washing machine inner drum rotation program is used to control at least one of the following: the inner drum rotation speed and the inner drum rotation angle.

In a preferred technical solution of the above method for detecting laundry in a washing machine, the method further includes: acquiring weight information of the laundry in the inner tub of the washing machine; The occlusion information of the laundry and the weight information of the laundry determine the rotation program of the inner tub of the washing machine.

In a preferred technical solution of the above-mentioned method for detecting clothes in a washing machine, performing clothes detection according to the second image information includes: performing image recognition on the second image information to determine the clothes colors corresponding to the clothes in the laundry. , and/or, the type of clothing.

In a preferred technical solution of the above-mentioned laundry detection method for a washing machine, the method further includes: according to the laundry color corresponding to each laundry in the laundry, and/or the laundry type, enabling a corresponding laundry program.

In a preferred technical solution of the above method for detecting laundry in a washing machine, performing laundry detection according to the second image information includes: performing image recognition on the second image information to determine whether there is a living organism in the inner tub of the washing machine.

According to a second aspect of the embodiments of the present invention, the present invention provides a laundry detection device for a washing machine, including:

In the preferred technical solution of the laundry detection device for the washing machine, the control module is specifically configured to: determine the occlusion information of the laundry to be washed according to the first image information, where the occlusion information is used to represent the to-be-washed laundry According to the occlusion information, determine the rotation program of the inner drum of the washing machine; and control the rotation of the inner drum of the washing machine according to the rotation program of the inner drum of the washing machine.

In a preferred technical solution of the above-mentioned laundry detection device for a washing machine, the washing machine inner drum rotation program is used to control at least one of the following: the inner drum rotation speed and the inner drum rotation angle.

In a preferred technical solution of the above-mentioned laundry detection device for a washing machine, the laundry detection device for a washing machine further includes a weight acquisition module for: acquiring weight information of the laundry in the inner tub of the washing machine; The drum rotation program includes: determining the inner drum rotation program of the washing machine according to the occlusion information of the laundry and the weight information of the laundry.

In the preferred technical solution of the laundry detection device for the washing machine, the detection module is specifically configured to: perform image recognition on the second image information, determine the color of the laundry corresponding to each laundry in the laundry, and/or the laundry type.

In a preferred technical solution of the above-mentioned laundry detection device for a washing machine, the control module is further configured to: enable a corresponding laundry program according to the laundry color and/or laundry type corresponding to each laundry in the laundry.

In a preferred technical solution of the above-mentioned laundry detection device for a washing machine, the detection module is further configured to: perform image recognition on the second image information to determine whether there is a living organism in the inner tub of the washing machine.

According to a third aspect of the embodiments of the present invention, the present invention provides an electronic device, including: a memory, a processor, and a computer program;

Wherein, the computer program is stored in the memory, and is configured to be executed by the processor according to the method for detecting laundry in a washing machine according to any one of the first aspect of the embodiments of the present invention.

According to a fourth aspect of the embodiments of the present invention, the present invention provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, are used to implement the The method for detecting laundry in a washing machine according to any one of the first aspects of the embodiments of the present invention.

Those skilled in the art can understand that the method, device, device and storage medium for detecting laundry in a washing machine of the present invention acquire first image information by capturing images of the laundry in the inner tub of the washing machine; according to the first image information , control the rotation of the inner tub of the washing machine to adjust the position of the laundry in the inner tub of the washing machine; collect images of the laundry in the inner tub of the washing machine after rotation to obtain second image information, and according to the The second image information is used for clothing detection. Before the clothes in the washing machine are detected, the condition of the clothes in the inner tub of the washing machine is analyzed through the pre-collected first image information, and the inner tub of the washing machine is controlled to rotate to adjust the position of the clothes in the washing machine, so as to obtain the The second image information that better represents the characteristics of the clothes, and the clothes detection is carried out according to the second image information, which can improve the recognition rate of the clothes in the washing machine, improve the recognition effect, and then can better ensure the safety function of the washing machine and accurately match the washing program. .

Description of drawings

Preferred embodiments of the laundry detection method, device and device for a washing machine of the present invention will be described below with reference to the accompanying drawings. Attached is:

FIG. 1 is an application scenario diagram of a method for detecting clothes in a washing machine provided by an embodiment of the present invention;

2 is a flowchart of a method for detecting laundry in a washing machine provided by an embodiment of the present invention;

FIG. 3 is a schematic diagram of a process of image acquisition of laundry to be washed according to an embodiment of the present invention;

4 is a flowchart of a method for detecting laundry in a washing machine provided by another embodiment of the present invention;

5 is a schematic structural diagram of a laundry detection device for a washing machine provided by an embodiment of the present invention;

6 is a schematic structural diagram of a laundry detection device for a washing machine provided by another embodiment of the present invention;

FIG. 7 is a schematic diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

First of all, those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention. Those skilled in the art can adjust it as needed to adapt to specific applications.

In addition, it should also be noted that, in the description of the present invention, unless otherwise expressly specified and limited, the terms "connected" and "connected" should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection , or integrally connected; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal communication of the two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

First, the terms involved in the present invention are explained:

1) Smart home appliances refer to home appliances formed by introducing microprocessors, sensor technology, and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent perception and intelligent application. The operation process of intelligent home appliances often depends on the The application and processing of modern technologies such as networking, the Internet, and electronic chips, for example, smart home appliances can be connected to electronic devices to realize remote control and management of smart home appliances by users.

2) Terminal equipment refers to the electronic equipment with wireless connection function. The terminal equipment can communicate with the above-mentioned smart home appliances by connecting to the Internet, or directly communicate with the above-mentioned smart home appliances through Bluetooth, wifi, etc. In some embodiments, the terminal device is, for example, a mobile device, a computer, an in-vehicle device built in a hover vehicle, or the like, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, etc., or any combination thereof, wherein the wearable devices include, for example, smart watches, smart bracelets, pedometers, and the like.

3) "Multiple" refers to two or more, and other quantifiers are similar. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship.

4) "Correspondence" may refer to an association relationship or binding relationship, and the correspondence between A and B refers to an association relationship or binding relationship between A and B.

The application scenarios of the embodiments of the present invention are explained below:

FIG. 1 is an application scenario diagram of the method for detecting clothes in a washing machine according to an embodiment of the present invention. As shown in FIG. 1 , in this usage scenario, after the user puts the clothes into the smart washing machine, he selects and starts the “automatic laundry” of the smart washing machine. function to perform laundry operations. After receiving the start command sent by the user through the washing machine's face or terminal device, the smart washing machine will detect the clothes, and according to the detection results, match the best laundry program to carry out the laundry operation.

In the related art, in order to realize the fully automatic laundry operation and improve the quality of laundry washing, the intelligent washing machine needs to detect the laundry to distinguish different types and colors of laundry, so as to match the best laundry program. However, when a large number of laundry is put into the washing machine, there will be occlusions between different clothes, and it is difficult to accurately identify all the clothes by capturing images of the clothes through a camera installed outside the drum. . Therefore, the traditional method of detecting the clothes in the tub by image recognition can only realize the fully automatic laundry operation of detecting the clothes of one or two pieces of laundry and matching the washing program.

Therefore, for the above reasons, after the intelligent washing machine in the prior art detects the clothes through the image recognition technology, it usually configures the laundry parameters such as the amount of water, the amount of detergent, and the laundry time required for laundry according to the detection result, and according to Such laundry parameters determine the corresponding laundry program. Because such laundry parameters do not need to accurately determine the type, color and other information of each piece of clothing, they can be determined only by identifying the approximate type, volume and quantity of the clothing. However, for more precise laundry programs, such as the "Sweater Wash" program for washing sweaters specifically, and the "Underwear Wash" program for washing underwear, more precise detection of the clothes is required. For example, in a specific exemplary scenario, the user throws into the laundry in the washing machine, and accidentally mixes a sweater. Since the sweater cannot be washed in the regular washing program, it must be washed with the "sweater washing" program, otherwise Will cause damage to the sweater. In this case, in the prior art, the method of detecting clothing through image recognition technology cannot accurately identify the type of each piece of clothing. Therefore, it cannot be ensured that the washing machine matches the correct "sweater washing" washing program, thereby Causes sweaters mixed into the laundry to be damaged during the washing process. Therefore, there is an urgent need for a more accurate clothing detection method, which can accurately detect multiple pieces of laundry, so as to achieve accurate matching of special cleaning programs such as "sweater cleaning" and "underwear cleaning", and improve the quality of clothing. cleaning effect.

The technical solutions of the present invention and how the technical solutions of the present invention solve the above-mentioned technical problems will be described in detail below with specific examples. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.

FIG. 2 is a flowchart of a method for detecting clothes in a washing machine provided by an embodiment of the present invention, which is applied to an intelligent washing machine. As shown in FIG. 2 , the method for detecting clothes in a washing machine provided by this embodiment includes the following steps:

In step S101, image acquisition is performed on the laundry in the inner tub of the washing machine to obtain first image information.

Exemplarily, taking a drum washing machine as an example, the intelligent washing machine is provided with a drum for holding and washing clothes, that is, the inner drum of the washing machine, and the controller of the intelligent washing machine can control the rotation of the inner drum of the washing machine, so as to realize the control of the clothes in the inner drum of the washing machine. Cleaning, dehydration and other operations. In a possible implementation manner, the intelligent washing machine is provided with an image acquisition unit, such as a camera, and the camera faces the inner side of the inner tub of the washing machine to capture images of the laundry in the inner tub of the washing machine.

Specifically, the timing of capturing the image of the laundry in the inner tub of the washing machine may be when the intelligent washing machine receives an instruction input by the user to instruct the intelligent washing machine to perform laundry operations. Before the laundry operation is performed, there is no specific limitation here. Image acquisition is performed on the laundry in the inner tub of the washing machine, and the obtained first image information is used to characterize the characteristics of the laundry in the inner tub of the washing machine, such as a picture or a video. Optionally, the number of times that the intelligent washing machine performs image collection on the laundry in the inner tub of the washing machine may be one time or multiple times.

Step S102, controlling the rotation of the inner tub of the washing machine according to the first image information to adjust the position of the laundry in the inner tub of the washing machine.

Further, the first image information can be used to express the shape features and position features of the laundry. Taking the first image information as a photo of the laundry in the tub as an example, by performing image recognition on the first image information, it can be determined whether there is obstruction between the laundry in the laundry. If there is a blocking state between the clothes, the inner tub of the washing machine is controlled to rotate, so that the positions of the clothes are changed. Wherein, the occlusion state between the clothes referred to here, in a possible implementation manner, may refer to a position where a certain clothes cannot be located. For example, according to the laundry parameters input by the user, it can be determined that the total number of clothes to be washed is 5 pieces, but after performing image recognition through the first image information collected, only 4 pieces of clothes are located, and it is determined that the clothes are in a blocked state. . In another possible implementation manner, the occlusion state between the clothes means that the position of the clothes can be located, but the type of the clothes cannot be identified. The above two ways of realizing the occlusion state can be used independently or together as a condition for judging whether the clothing is in the occlusion state, which will not be repeated here.

Step S103 , image acquisition of the laundry in the inner tub of the washing machine after rotation is performed, second image information is obtained, and laundry detection is performed according to the second image information.

FIG. 3 is a schematic diagram of a process of image acquisition of laundry provided by an embodiment of the present invention. Referring to FIG. 3 , for example, after determining that the laundry is in a blocking state, the inner drum of the washing machine is controlled to rotate, so that the laundry is When the position of the washing machine changes, while or after the inner drum of the washing machine is rotated, image collection is performed on the laundry in the inner drum of the washing machine again to obtain second image information, where, for example, the second image information is the washing machine collected by the camera. The picture in the inner tub; determine whether the clothing is still in the blocking state, if it is determined that the clothing is not in the blocking state, the type of the clothing can be directly determined according to the second image information, and the detection of the clothing is completed; if the clothing is in the blocking state, continue to control the washing machine. The drum rotates and obtains the second image information; in the process of continuous rotation, the second image information collected each time will provide the shape features of the new clothes, and the shape features of the clothes can be determined by continuously collecting the second image information. Extraction and fusion will gradually identify the type information of all the clothes to be washed, that is, make the clothes in a non-occluded state. It should be noted that the non-occlusion state referred to here does not mean that the clothes in the laundry are completely separated in physical space, but refers to the collection of one or more second image information, using the individual clothes of the clothes. The superposition of the shape features of the angle makes the clothes in a state that can be identified, and finally, the accurate detection of the clothes in the laundry is realized.

In this embodiment, the first image information is obtained by collecting images of the laundry in the inner tub of the washing machine; according to the first image information, the rotation of the inner tub of the washing machine is controlled to adjust the position of the laundry in the inner tub of the washing machine; Image acquisition of the laundry to be washed in the inner tub of the washing machine is performed to obtain second image information, and laundry detection is performed according to the second image information. Before the clothes in the washing machine are detected, the condition of the clothes in the inner tub of the washing machine is analyzed through the pre-collected first image information, and the inner tub of the washing machine is controlled to rotate to adjust the position of the clothes in the washing machine, so as to obtain the The second image information that better represents the characteristics of the clothes, and the clothes detection is carried out according to the second image information, which can improve the recognition rate of the clothes in the washing machine, improve the recognition effect, and then can better ensure the safety function of the washing machine and accurately match the washing program. .

FIG. 4 is a flowchart of a method for detecting clothes in a washing machine provided by another embodiment of the present invention. As shown in FIG. 4 , the method for detecting clothes in a washing machine provided by this embodiment is based on the method for detecting clothes in a washing machine provided by the embodiment shown in FIG. 2 . , and further refine steps S102-S103, the laundry detection method for a washing machine provided by this embodiment includes the following steps:

In step S201, image acquisition is performed on the laundry in the inner tub of the washing machine to obtain first image information.

Step S202: Determine the occlusion information of the laundry according to the first image information, where the occlusion information is used to represent the degree of occlusion between the clothes in the laundry.

Exemplarily, the occlusion information is information describing the occlusion state between the clothes, and the occlusion information includes, for example, an occlusion coefficient. Yes, the smaller the occlusion coefficient, the smaller the degree of occlusion between the clothes, that is, the easier it is to identify the clothes to be washed. Further, the occlusion coefficient can be determined by the result of image recognition. Exemplarily, when the confidence of the recognition result of a certain target object in the first image information is higher, the occlusion coefficient is smaller, and vice versa, when the first image The lower the confidence of the recognition result of a certain target object in the information, the larger the occlusion coefficient.

Step S203, determining the rotation program of the inner tub of the washing machine according to the occlusion information.

Step S204, controlling the rotation of the inner drum of the washing machine according to the rotation program of the inner drum of the washing machine.

Specifically, the occlusion information is used to represent the information of the occlusion degree between the clothes. When the occlusion degree between the clothes is relatively large, it corresponds to the situation in the real scene, that is, the clothes in the inner tub of the washing machine are intertwined. The controlled inner cylinder rotates at a certain angle, and the clothes that are seriously intertwined cannot be separated, so as to realize the identification of the clothes. Therefore, when the degree of occlusion between the clothes is relatively large, that is, when the clothes are seriously intertwined, the inner drum of the washing machine needs to be rotated at a high speed or at a variable speed, so that the intertwined clothes can be disengaged, so that the clothes are more The appearance features are exposed, which improves the recognition speed and recognition accuracy of clothing.

Further, for example, the inner tub rotation program of the washing machine is used to control the inner tub rotation speed and/or the inner tub rotation angle. Specifically, according to the occlusion information, the intelligent washing machine determines a corresponding rotation program of the inner tub of the washing machine, so that the inner tub of the washing machine rotates by different angles at different rotation speeds. In a more specific embodiment, the occlusion coefficient in the occlusion information has a preset mapping relationship with the rotation program of the inner tub of the washing machine. For example, when the occlusion coefficient is 0.2, according to the preset mapping table, determine the drum rotation program A of the washing machine, and control the inner drum of the washing machine to rotate 90 degrees at a speed of 0.3 rpm; when the occlusion coefficient is 0.8, according to the preset The mapping table determines the rotation program B of the inner tub of the washing machine, and controls the inner tub of the washing machine to rotate 90 degrees at a speed of 3 revolutions per second, then stops for 0.5 seconds, and repeats the process 5 times. Among them, the mapping relationship between different washing machine inner drum rotation programs and occlusion information is related to different inner drum structures, and the mapping relationship can be preset when the smart washing machine leaves the factory, or it can be set by the user according to needs, here No longer.

In this embodiment, the corresponding washing machine inner drum rotation program is determined according to the occlusion information, and the inner drum of the washing machine is controlled to rotate at the matching inner drum rotation angle and inner drum rotation speed, so that the rotation of the inner drum can make the clothes better. The shape features of the clothes are exposed, which improves the efficiency of clothing detection and the accuracy of clothing detection.

In a possible implementation manner, determining the rotation program of the inner tub of the washing machine further includes:

The weight information of the laundry in the inner tub of the washing machine is obtained; the rotation program of the inner tub of the washing machine is determined according to the occlusion information of the laundry and the weight information of the laundry.

Exemplarily, the purpose of rotating the inner tub of the washing machine is to change the position of the clothes in the inner tub of the washing machine, so as to better collect image information and identify the type of clothes. Therefore, in order to better identify the type of each laundry, the weight information of the laundry to be washed can be collected to determine the amount of laundry. The inner tub of the washing machine is fully rotated, so that the positions of the clothes can be changed significantly, so that more appearance features of the clothes are exposed, so that the collected second image information can include more clothes shape features, thereby Improve the speed and accuracy of clothing identification.

In this embodiment, the weight information of the laundry to be washed is obtained, and the rotation program of the inner drum of the washing machine is determined according to the occlusion information of the laundry to be washed and the weight information of the laundry to be washed, so that the rotation program of the inner drum of the washing machine can match the appropriate weight of the clothes, Therefore, the rotation of the inner tub of the washing machine is more sufficient, the number of effective shape features of the clothes collected in the second image information is increased, the number of times of collecting the second image information is reduced, and the effect of improving the clothes detection efficiency is achieved.

In step S205, image collection is performed on the laundry in the inner tub of the washing machine after rotation to obtain second image information, and image recognition is performed on the second image information to determine the clothes color corresponding to each laundry in the laundry, and/or, Clothing type.

Specifically, the position of the clothes to be washed in the rotating inner tub of the washing machine has changed. Therefore, through the collected second image information, the shape features of the clothes that could not be obtained when the clothes were in a blocking state before can be obtained. Further, performing image recognition by using the second image information can realize the recognition of the clothing, specifically, including the recognition of the color of the clothing and the type of the clothing.

Step S206, according to the clothes color corresponding to each clothes in the laundry, and/or the clothes type, start the corresponding washing program.

Specifically, the intelligent washing machine is provided with some special washing programs designed for specific types and colors of clothes. For example, the "Sweater Washing" program is specially used for washing sweaters to prevent the sweater from being deformed and shrunk; another example is the "Colored clothes washing" program specially designed for users to wash clothes that are easy to fade. Among them, the program of "washing sweater" needs to be called after determining the type of clothes; and the program of "washing colored clothes" needs to be called after determining the color of the clothes.

In this embodiment, by identifying the clothes to determine the type and color of the clothes, the exact matching of the dedicated laundry program can be realized. Since special laundry programs are often for specific laundry scenarios and specific types of clothes, such as the "Sweater Wash" program and the "Colored clothes wash" program in the above example, if the laundry type and color of each laundry in the laundry cannot be treated accurately However, the conventional image detection technology in the prior art detects clothing. If a sweater is missed and the "sweater washing" procedure is not used, the sweater will be damaged, and if a colored sweater is missed. Clothes without "colored laundry" will cause the entire clothing to be stained. Therefore, in this embodiment, the technical feature of controlling the rotation of the inner drum of the washing machine through the first image information is combined with the collection of the second image information to perform image recognition to obtain the type and color of the clothes, and then determine a dedicated laundry program to clean the clothes, which realizes The real automatic laundry operation avoids the process of manual pre-screening of the laundry caused by the inability to accurately detect each piece of clothing, and improves the laundry efficiency and laundry effect.

Step S207, performing image recognition on the second image information to determine whether there is a living organism in the inner tub of the washing machine.

Specifically, a smart washing machine is a commonly used household appliance. In a family with pets and babies, if living organisms such as pets or babies enter the inner tub of the washing machine, after the washing machine starts to perform water filling and laundry operations, it will cause huge damage to the living organisms. injury, resulting in a safety accident. Therefore, before the washing machine executes the washing program, the intelligent washing machine performs image recognition according to the second image information, which can realize the detection of living organisms hidden in the laundry. Among them, in some special scenarios, such as in an indoor environment with low temperature, living creatures such as pets will enter the clothes in the inner tub of the washing machine to rest for the purpose of heating. Therefore, in this scenario, traditional image-based Since the clothing detection method for detection is a static acquisition of images, it is difficult to find living organisms hidden under the clothing, which leads to missed detection of living organisms. In this embodiment, since the inner tub of the washing machine is rotated through the first image information in the above steps, the living creatures hidden in the clothes can be alerted and move out of the clothes, so that such hidden objects can be better discovered. Living organisms in clothing, improve the detection effect of living organisms.

In this embodiment, the implementation manner of step S201 is the same as the implementation manner of step S101 in the embodiment shown in FIG. 2 of the present invention, and details are not repeated here.

FIG. 5 is a schematic structural diagram of a laundry detection device for a washing machine provided by an embodiment of the present invention, which is applied to an intelligent washing machine. As shown in FIG. 5 , the laundry detection device 3 for a washing machine provided in this embodiment includes:

The image acquisition module 31 is used for image acquisition of the laundry in the inner tub of the washing machine to obtain first image information.

The control module 32 is configured to control the rotation of the inner tub of the washing machine according to the first image information, so as to adjust the position of the laundry in the inner tub of the washing machine.

The image acquisition module 31 is further configured to perform image acquisition on the laundry to be washed in the inner tub of the rotating washing machine to obtain second image information.

The detection module 33 is configured to perform clothing detection according to the second image information.

The image acquisition module 31 , the control module 32 and the detection device 33 are connected in sequence. The laundry detection device 3 of the washing machine provided in this embodiment can implement the technical solution of the method embodiment shown in FIG. 2 , and the implementation principle and technical effect thereof are similar, which will not be repeated here.

FIG. 6 is a schematic structural diagram of a laundry detection device for a washing machine provided by another embodiment of the present invention. This embodiment provides a laundry detection device for a washing machine. On the basis of the laundry detection device for a washing machine shown in FIG. 5 , a weight collection module 41 is added. As shown in Figure 6:

In a possible implementation manner, the control module 32 is specifically configured to: determine the occlusion information of the laundry according to the first image information, and the occlusion information is used to represent the degree of occlusion between the clothes in the laundry; according to the occlusion information to determine the rotation program of the inner drum of the washing machine; control the rotation of the inner drum of the washing machine according to the rotation program of the inner drum of the washing machine.

In a possible implementation manner, the washing machine inner tub rotation program is used to control at least one of the following: the inner tub rotation speed and the inner tub rotation angle.

In a possible implementation manner, the laundry detection device 4 of the washing machine further includes a weight acquisition module 41 for: acquiring weight information of the laundry in the inner tub of the washing machine; determining the rotation program of the inner tub of the washing machine according to the occlusion information, including: according to The occlusion information of the laundry to be washed and the weight information of the laundry to be washed determine the rotation program of the inner tub of the washing machine.

In a possible implementation manner, the detection module 33 is specifically configured to: perform image recognition on the second image information, and determine the clothes color and/or the clothes type corresponding to the clothes in the laundry.

In a possible implementation manner, the control module 32 is further configured to: enable a corresponding washing program according to the clothes color and/or the type of the clothes corresponding to the clothes to be washed.

In a possible implementation manner, the detection module 33 is further configured to: perform image recognition on the second image information to determine whether there is a living organism in the inner tub of the washing machine.

The image acquisition module 31 , the control module 32 and the detection device 33 are connected in sequence. The laundry detection device 3 of the washing machine provided in this embodiment can implement the technical solution of the method embodiment shown in FIG. 2 , and the implementation principle and technical effect thereof are similar, which will not be repeated here.

Wherein, the weight collection module 41 is connected with the control module 32 . The laundry detection device 4 of the washing machine provided in this embodiment can implement the technical solutions of the method embodiments shown in FIGS. 2-4 , and the implementation principles and technical effects thereof are similar, and will not be repeated here.

FIG. 7 is a schematic diagram of an electronic device provided by an embodiment of the present invention. As shown in FIG. 7 , the electronic device provided by this embodiment includes: a memory 51 , a processor 52 and a computer program.

The computer program is stored in the memory 51 and configured to be executed by the processor 52 to implement the laundry detection method for a washing machine provided by any one of the embodiments corresponding to FIG. 2 to FIG. 4 of the present invention.

The memory 51 and the processor 52 are connected through a bus 53 .

The relevant descriptions can be understood by referring to the relevant descriptions and effects corresponding to the steps in the embodiments corresponding to FIG. 2 to FIG. 4 , and details are not repeated here.

An embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored, and the computer program is executed by a processor to implement the laundry machine provided by any of the embodiments corresponding to FIG. 2 to FIG. 4 of the present invention Detection method.

Among them, the computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods, for example, multiple modules or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in electrical, mechanical or other forms.

Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the applications disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention which follow the general principles of the present invention and include common knowledge or conventional techniques in the technical field not disclosed by the present invention . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

It should be understood that the present invention is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from its scope. The scope of the present invention is limited only by the appended claims.

So far, the technical solutions of the present invention have been described with reference to the preferred embodiments shown in the accompanying drawings, however, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims (10)

1. A method for detecting laundry in a washing machine, wherein the method comprises: performing image acquisition on the laundry in the inner tub of the washing machine to obtain first image information; controlling the rotation of the inner tub of the washing machine to adjust the position of the laundry in the inner tub of the washing machine according to the first image information; Image acquisition of the laundry in the inner tub of the washing machine after rotation is performed to obtain second image information, and laundry detection is performed according to the second image information. 2. The method according to claim 1, wherein controlling the rotation of the inner tub of the washing machine according to the first image information comprises: determining the occlusion information of the laundry according to the first image information, where the occlusion information is used to represent the degree of occlusion between the laundry in the laundry; According to the occlusion information, determine the rotation program of the inner tub of the washing machine; According to the rotation program of the inner tub of the washing machine, the inner tub of the washing machine is controlled to rotate. 3. The method according to claim 2, wherein the washing machine inner tub rotation program is used to control at least one of the following: The rotation speed of the inner cylinder, the rotation angle of the inner cylinder. 4. The method according to claim 2, wherein the method further comprises: obtaining the weight information of the laundry in the inner tub of the washing machine; According to the occlusion information, determine the rotation program of the inner tub of the washing machine, including: According to the occlusion information of the laundry and the weight information of the laundry, the rotation program of the inner tub of the washing machine is determined. 5. The method according to any one of claims 1-4, wherein, according to the second image information, performing clothing detection, comprising: Perform image recognition on the second image information to determine the clothes color and/or the clothes type corresponding to each of the clothes in the laundry. 6. The method according to claim 5, wherein the method further comprises: According to the clothes color and/or the clothes type corresponding to the clothes in the laundry, the corresponding washing program is activated. 7. The method according to any one of claims 1-4, wherein, performing clothing detection according to the second image information, comprising: Perform image recognition on the second image information to determine whether there is a living organism in the inner tub of the washing machine. 8. A laundry detection device for a washing machine, wherein the device comprises: an image acquisition module, used for image acquisition of the laundry in the inner tub of the washing machine to obtain first image information; a control module, configured to control the rotation of the inner tub of the washing machine to adjust the position of the laundry in the inner tub of the washing machine according to the first image information; The image acquisition module is further configured to perform image acquisition on the laundry in the inner tub of the rotating washing machine to obtain second image information; A detection device, configured to perform clothing detection according to the second image information. 9. An electronic device, comprising: a memory, a processor and a computer program; Wherein, the computer program is stored in the memory and configured to be executed by the processor to implement the laundry detection method for a washing machine according to any one of claims 1 to 7. 10. A computer-readable storage medium, characterized in that, computer-executable instructions are stored in the computer-readable storage medium, and the computer-executable instructions are used to implement any one of claims 1 to 7 when executed by a processor. The method for detecting clothes in a washing machine.

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