CN112176642A - Control processing method and device for washing machine - Google Patents
Control processing method and device for washing machine Download PDFInfo
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- CN112176642A CN112176642A CN202010970137.5A CN202010970137A CN112176642A CN 112176642 A CN112176642 A CN 112176642A CN 202010970137 A CN202010970137 A CN 202010970137A CN 112176642 A CN112176642 A CN 112176642A
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- 238000005406 washing Methods 0.000 title claims abstract description 164
- 238000003672 processing method Methods 0.000 title claims description 17
- 230000011218 segmentation Effects 0.000 claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 21
- 239000003599 detergent Substances 0.000 claims description 27
- 238000004458 analytical method Methods 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 21
- 239000004744 fabric Substances 0.000 claims description 13
- 238000001764 infiltration Methods 0.000 claims description 10
- 230000008595 infiltration Effects 0.000 claims description 10
- 238000012216 screening Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 abstract description 21
- 238000012545 processing Methods 0.000 abstract description 13
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 6
- 238000012549 training Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 239000000047 product Substances 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000003709 image segmentation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 239000012466 permeate Substances 0.000 description 1
- 238000007650 screen-printing Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/36—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of washing
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
- D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
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- Textile Engineering (AREA)
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- Control Of Washing Machine And Dryer (AREA)
Abstract
The invention provides a method and a device for controlling and processing clothes washing, wherein the method comprises the following steps: carrying out segmentation recognition on the clothes image acquired by the terminal to obtain the characteristic information of the stains of the clothes; determining the stain type and the stain content according to the stain characteristic information of the clothes; determining a target washing mode according to the stain type and the stain content; the target washing mode is sent to the terminal, so that the problems that in the related technology, stains cannot be effectively identified on the premise that most of traditional industry data are not digitalized, the washing mode can only be determined after the stain type is manually judged, the washing machine can only adopt a fixed washing mode under manual control, and the washing effect is poor can be solved, the stain type and the stain content can also be effectively identified when corresponding data are lacked in the early period or the data are not marked, the washing mode is determined according to the stain type and the stain content, and therefore the stain type and the stain content can be automatically identified, and the washing mode can be determined.
Description
Technical Field
The invention relates to the field of smart home, in particular to a laundry control processing method and device.
Background
In household appliances, various uncertain object problems are often treated, such as washing clothes, the stain type is required to be identified, and a corresponding washing scheme is required to be given. However, in practice, the data of the object is not specified for training the model (including speech, image, and the like).
The traditional implementation mode is that enough data is collected first, and an organizer carries out data annotation. And then training the recognition model based on a traditional deep learning mode. The disadvantage is the dependence on data. For practical industrial application, most of data in the traditional industry are not digitized, data required by training such as images cannot be acquired, and in such a case, stains cannot be effectively identified.
The problem that a washing machine can only adopt a fixed washing mode under manual control and the washing effect is poor due to the fact that the washing mode can only be determined after the stain type is manually judged because the stains can not be effectively identified on the premise that most of data in the traditional industry in the related technology are not digitized is solved, and a solution is not provided.
Disclosure of Invention
The embodiment of the invention provides a laundry control processing method and a laundry control processing device, which are used for at least solving the problems that in the related technology, on the premise that most of traditional industry data are not digitalized, stains cannot be effectively identified, and only a fixed washing mode can be adopted by a washing machine under manual control and the washing effect is poor because the washing mode can be determined after the stain type is manually judged.
According to an embodiment of the present invention, there is provided a laundry control processing method including:
carrying out segmentation recognition on the clothes image acquired by the terminal to obtain the characteristic information of the stains of the clothes;
determining the stain type and the stain content according to the clothing stain characteristic information;
determining a target washing mode according to the stain type and the stain content;
and sending the target washing mode to the terminal to instruct the terminal to wash the clothes according to the target washing mode.
Optionally, the segmenting and recognizing the clothes image acquired by the terminal to obtain the clothes stain characteristic information includes:
segmenting the clothing image into a plurality of sample regions according to the stain distribution;
screening the plurality of sample areas to obtain a plurality of stain areas;
and carrying out image recognition on the plurality of dirt areas to obtain the clothes dirt characteristic information.
Optionally, the determining the stain type and the stain content according to the clothing stain feature information includes:
the characteristic information of the stains of the clothes at least comprises: determining the stain type according to the condition of the cloth infiltration, the stain color, the stain position and the clothes type under the conditions of the number of stains, the size of stains, the condition of cloth infiltration, the stain color, the stain position and the clothes type;
determining the stain content based on the number of stains and the stain size.
Optionally, determining the target washing pattern according to the stain type and the stain content comprises:
inputting the stain type and the stain content into a pre-trained target washing analysis model to obtain the probability of each washing mode corresponding to the stain type and the stain content output by the target washing analysis model;
and determining the washing mode with the probability larger than a preset threshold value as the target washing mode.
Optionally, the method further comprises:
acquiring a target image after washing is finished;
optimizing the target wash analysis model according to the target image.
Optionally, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
According to another embodiment of the present invention, there is also provided a laundry control processing method including:
sending the acquired clothes image to a server, wherein the server is used for carrying out segmentation recognition on the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content;
and washing according to the target washing mode.
Optionally, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
According to another embodiment of the present invention, there is also provided a laundry control processing device including:
the segmentation recognition module is used for carrying out segmentation recognition on the clothes image acquired by the terminal to obtain the clothes stain characteristic information;
the first determination module is used for determining the stain type and the stain content according to the clothing stain characteristic information;
the second determination module is used for determining a target washing mode according to the stain type and the stain content;
and the first sending module is used for sending the target washing mode to the terminal so as to instruct the terminal to wash the clothes according to the target washing mode.
Optionally, the segmentation identification module includes:
a segmentation sub-module for segmenting the clothing image into a plurality of sample regions according to a stain distribution;
the screening submodule is used for screening the plurality of sample areas to obtain a plurality of stain areas;
and the image recognition submodule is used for carrying out image recognition on the plurality of dirt areas to obtain the clothes dirt characteristic information.
Optionally, the first determining module includes:
a first determining unit, configured to determine the laundry stain characteristic information at least including: determining the stain type according to the condition of the cloth infiltration, the stain color, the stain position and the clothes type under the conditions of the number of stains, the size of stains, the condition of cloth infiltration, the stain color, the stain position and the clothes type;
a second determination unit for determining the stain content based on the number of stains and the stain size.
Optionally, the second determining module includes:
and the input submodule is used for inputting the stain type and the stain content into a pre-trained target washing analysis model to obtain the probability of each washing mode corresponding to the stain type and the stain content output by the target washing analysis model, wherein the washing mode with the probability larger than a preset threshold value is determined as the target washing mode.
Optionally, the apparatus further comprises:
the acquisition module is used for acquiring a target image after washing is finished;
and the optimization module is used for optimizing the target washing analysis model according to the target image.
Optionally, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
According to another embodiment of the present invention, there is also provided a laundry control processing device including:
the second sending module is used for sending the acquired clothes image to a server, wherein the server is used for carrying out segmentation recognition on the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
the receiving module is used for receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content;
and the washing module is used for washing according to the target washing mode.
Optionally, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
According to a further embodiment of the present invention, a computer-readable storage medium is also provided, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the above-described method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the clothes image collected by the terminal is segmented and recognized to obtain the characteristic information of the stains of the clothes; determining the stain type and the stain content according to the clothing stain characteristic information; determining a target washing mode according to the stain type and the stain content; the target washing mode is sent to the terminal to indicate the terminal to wash clothes according to the target washing mode, so that the problem that a washing machine can only adopt a fixed washing mode under manual control due to the fact that the washing machine cannot effectively recognize stains on the premise that data of most of traditional industries in related technologies are not digitized and the washing mode can only be determined after the stain type is manually judged can be solved, the washing effect is poor, when corresponding data is lacked in the previous period or data are not marked, the stain type and the stain content can also be effectively recognized, the washing mode is determined according to the stain type and the stain content, the stain type and the stain content are automatically recognized, the washing mode is determined, and user experience is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a block diagram of a hardware configuration of a mobile terminal of a laundry control processing method according to an embodiment of the present invention;
fig. 2 is a first flowchart of a laundry control processing method according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating image segmentation and attribute identification according to an embodiment of the present invention;
fig. 4 is a second flowchart of a laundry control processing method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a soil knowledge base and a wash element analysis model according to an embodiment of the invention;
fig. 6 is a first block diagram of a laundry control processing device according to an embodiment of the present invention;
fig. 7 is a second block diagram of the laundry control processing device according to the embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Example 1
The method provided by the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking a mobile terminal as an example, fig. 1 is a hardware structure block diagram of a mobile terminal of a laundry control processing method according to an embodiment of the present invention, and as shown in fig. 1, the mobile terminal may include one or more processors 102 (only one is shown in fig. 1) (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, and optionally, the mobile terminal may further include a transmission device 106 for a communication function and an input/output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program and a module of application software, such as a computer program corresponding to the laundry control processing method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the above-mentioned method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio FrequeNcy (RF) module, which is used to communicate with the internet in a wireless manner.
Based on the above-mentioned mobile terminal or network architecture, a laundry control processing method is provided in this embodiment, and fig. 2 is a first flowchart of the laundry control processing method according to the embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, segmenting and identifying the clothes image collected by the terminal to obtain the clothes stain characteristic information;
in an embodiment of the present invention, the step S202 may specifically include: segmenting the clothing image into a plurality of sample regions according to the stain distribution; screening the plurality of sample areas to obtain a plurality of stain areas; and carrying out image recognition on the plurality of dirt areas to obtain the clothes dirt characteristic information.
Fig. 3 is a schematic diagram of image segmentation and attribute identification according to an embodiment of the present invention, and as shown in fig. 3, the images are respectively divided into different sample regions according to the stain distribution and are respectively subjected to identification processing. The conventional stains occupy limited area on the surface of the clothes, and compared with silk-screen printing on the clothes and cloth, the stains are obviously different from the background in color and form. Through the comparison of each sample region, samples which are different in color, different in rule and accord with the general characteristics (generally in a dot shape or an irregular line shape) of the stain are screened out, and the stain characteristic is extracted. The color, the characteristics and the size of the stains are analyzed by identifying the screened samples, and the positions of the stains and the types of clothes are judged by combining the overall image identification.
By identifying the color, the size, the position and the like, the image identification of the stain can be realized on the basis of no stain data by means of the identification of similar attributes without depending on a large amount of data.
Step S204, determining the stain type and the stain content according to the stain characteristic information of the clothes;
in an embodiment of the present invention, the step S204 may specifically include: the characteristic information of the stains of the clothes at least comprises: determining the stain type according to the condition of the cloth infiltration, the stain color, the stain position and the clothes type under the conditions of the number of stains, the size of stains, the condition of cloth infiltration, the stain color, the stain position and the clothes type; determining the stain content based on the number of stains and the stain size.
Step S206, determining a target washing mode according to the stain type and the stain content;
in an embodiment of the present invention, the step S206 may specifically include: inputting the stain type and the stain content into a pre-trained target washing analysis model to obtain the probability of each washing mode corresponding to the stain type and the stain content output by the target washing analysis model, and determining the washing mode with the probability greater than a preset threshold value as the target washing mode.
And step S208, sending the target washing mode to the terminal to instruct the terminal to wash the clothes according to the target washing mode.
Through the steps S202 to S208, the problems that in the related technology, stains cannot be effectively identified on the premise that most of traditional industry data are not digitalized, the washing mode can only be determined after the stain type is manually judged, the washing machine can only adopt a fixed washing mode under manual control, and the washing effect is poor can be solved, the stain type and the stain content can also be effectively identified when corresponding data are lacked in the previous period or the data are not marked, the washing mode is determined according to the stain type and the stain content, so that the stain type and the stain content can be automatically identified, the washing mode can be determined, and user experience is improved.
In an optional embodiment, a target image after washing is obtained, and the target washing analysis model is optimized according to the target image, that is, the target washing analysis model can be optimized by an actual effect.
The target washing pattern in the embodiment of the present invention includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
Example 2
According to another embodiment of the present invention, there is also provided a laundry control processing method, and fig. 4 is a second flowchart of the laundry control processing method according to the embodiment of the present invention, as shown in fig. 4, the flowchart includes the following steps:
step S402, sending the acquired clothes image to a server, wherein the server is used for segmenting and identifying the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
and step S404, receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content.
And step S406, washing according to the target washing mode.
Through the steps S402 to S406, the problems that in the related technology, stains cannot be effectively identified on the premise that most of traditional industry data are not digitized, the washing mode can only be determined after the stain type is manually judged, the washing machine can only adopt a fixed washing mode under manual control, and the washing effect is poor can be solved, the stain type and the stain content can also be effectively identified when corresponding data are lacked in the previous period or the data are not marked, the washing mode is determined according to the stain type and the stain content, so that the stain type and the stain content can be automatically identified, the washing mode can be determined, and user experience is improved.
In an alternative embodiment, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
According to the embodiment of the invention, various influence factors influencing the use effect of the household appliance are combed out through decades of user interaction and product iteration data of the household appliance, and a heterogeneous knowledge base is formed. By means of knowledge graph technology, logical reasoning of the relationship between the use effect of the household appliance and various influencing factors is achieved. Since the influence factors influencing the effect of the household appliance are known, the corresponding influence factors can be used as research objects, various attributes of the research objects are analyzed, and the research objects are deduced through corresponding attribute recognition. Taking the stain as an example, the attributes include color, characteristics (whether the stain permeates into cloth), stain position, the type of clothes stained with the stain and the like, and the attributes do not need to be trained by using data alone or can be used for reference of an existing mature training model, and according to the attributes, whether the stain exists on the clothes or not can be judged, which type of stain exists on the clothes can be judged, and then the washing measure which type of washing measure has the most effect can be deduced. By the method, a better stain recognition effect can be achieved at the early stage without collecting stain pictures.
After the terminal is successfully networked, basic information such as the product model and the like is uploaded to the platform, and the platform judges which specific functions of the product are finally determined by the user to issue instructions to the terminal. The terminal collects images and then sends the collected images to the platform; the platform trains an identification model according to the marked image; and (4) carrying out segmentation recognition on the image, and recognizing the number of stains on the surface of the cloth of the clothes, the color of the stains, the position of the stains and the type information of the clothes. And uploading the information to the platform knowledge graph module.
The knowledge map module is used for constructing a stain knowledge base in advance, and can deduce the main composition type and the stain amount of the stain according to information such as the number, the color, the position, the clothes type and the like of the stain recognized by the terminal image based on the stain knowledge base. And (4) analyzing washing elements, and selecting different detergents according to different stain types and stain contents to determine the washing time. And according to the detergent and the washing duration, the platform determines specific operations which can be specifically executed at the terminal and issues the specific operations to the terminal for execution. And (4) washing effect inspection and feedback, wherein after washing is finished, the terminal can acquire washed effect pictures for inspecting the washing effect and optimizing a washing element analysis model.
In the embodiment of the invention, attributes such as colors are identified, and most of the attributes do not need special training data. Therefore, the effect of stain identification can be achieved without stain picture data.
Fig. 5 is a schematic diagram of a stain knowledge base and a washing element analysis model according to an embodiment of the present invention, and as shown in fig. 5, the stain knowledge base covers basic attributes of various common stains, which specifically include the following attributes: number of stains, color, location, type of clothing. And (4) presuming a high-frequency scene according to the type of the clothes, and analyzing what things a user does when the user is stained with the stain by combining the position of the stain, thereby assisting in analyzing the possible stain types. Each stain is suitable for what type of detergent, and each detergent has a brand and model that can be selected.
And a washing element analysis model, wherein a proper detergent is recommended according to the stain type. And recommending information such as the using amount of the detergent, the washing time, the using amount of water and the like according to the stain content. The detergent and the recommended washing program logic are obtained according to the actual simulation experiment condition, and are maintained in a knowledge base. The washing element analysis model can be continuously optimized according to the effect comparison after washing by the user.
The method and the device identify the general attributes of the object, infer the object according to the attributes, and do not directly identify the object to identify. The identification of the using effect influence factors of the household appliances can be carried out effectively under the condition of no training data. The machine automatically identifies the influencing factors, automatically sets corresponding operation logic, improves the use effect of the household appliance, and reduces the thinking and operation cost of a user. Through the effect contrast, constantly adjust the model, can improve the washing effect step by step.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 3
In this embodiment, a laundry control processing device is further provided, and the device is used to implement the above embodiments and preferred embodiments, and the description of the device is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 6 is a first block diagram of a laundry control processing device according to an embodiment of the present invention, as shown in fig. 6, including:
the segmentation recognition module 62 is configured to perform segmentation recognition on the clothes image acquired by the terminal to obtain clothes stain characteristic information;
a first determining module 64, configured to determine a stain type and a stain content according to the stain characteristic information of the laundry;
a second determining module 66, configured to determine a target washing manner according to the stain type and the stain content;
a first sending module 68, configured to send the target washing manner to the terminal, so as to instruct the terminal to wash the laundry according to the target washing manner.
Optionally, the segmentation identification module 62 includes:
a segmentation sub-module for segmenting the clothing image into a plurality of sample regions according to a stain distribution;
the screening submodule is used for screening the plurality of sample areas to obtain a plurality of stain areas;
and the image recognition submodule is used for carrying out image recognition on the plurality of dirt areas to obtain the clothes dirt characteristic information.
Optionally, the first determining module 64 includes:
a first determining unit, configured to determine the laundry stain characteristic information at least including: determining the stain type according to the condition of the cloth infiltration, the stain color, the stain position and the clothes type under the conditions of the number of stains, the size of stains, the condition of cloth infiltration, the stain color, the stain position and the clothes type;
a second determination unit for determining the stain content based on the number of stains and the stain size.
Optionally, the second determining module 66 includes:
and the input submodule is used for inputting the stain type and the stain content into a pre-trained target washing analysis model to obtain the probability of each washing mode corresponding to the stain type and the stain content output by the target washing analysis model, wherein the washing mode with the probability larger than a preset threshold value is determined as the target washing mode.
Optionally, the apparatus further comprises:
the acquisition module is used for acquiring a target image after washing is finished;
and the optimization module is used for optimizing the target washing analysis model according to the target image.
Optionally, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 4
In this embodiment, a laundry control processing device is further provided, and the device is used to implement the above embodiments and preferred embodiments, and the description of the device is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a second block diagram of the laundry control processing device according to the embodiment of the present invention, as shown in fig. 7, including:
the second sending module 72 is configured to send the acquired clothes image to a server, where the server is configured to perform segmentation and identification on the clothes image to obtain clothes stain characteristic information, and determine a stain type and a stain content according to the clothes stain characteristic information;
a receiving module 74, configured to receive a target washing manner that is determined according to the stain type and the stain content and is sent by the server;
and a washing module 76 for washing according to the target washing mode.
Optionally, the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 5
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s11, carrying out segmentation and identification on the clothes image collected by the terminal to obtain the characteristic information of the stain of the clothes;
s12, determining the stain type and the stain content according to the clothing stain characteristic information;
s13, determining a target washing mode according to the stain type and the stain content;
and S14, sending the target washing mode to the terminal to instruct the terminal to wash the clothes according to the target washing mode.
Optionally, in this embodiment, the storage medium may be further configured to store a computer program for executing the following steps:
s21, sending the acquired clothes image to a server, wherein the server is used for segmenting and identifying the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
s22, receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content;
and S23, washing according to the target washing mode.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a usb disk, a Read-ONly Memory (ROM), a RaNdom Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, which can store computer programs.
Example 6
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s11, carrying out segmentation and identification on the clothes image collected by the terminal to obtain the characteristic information of the stain of the clothes;
s12, determining the stain type and the stain content according to the clothing stain characteristic information;
s13, determining a target washing mode according to the stain type and the stain content;
and S14, sending the target washing mode to the terminal to instruct the terminal to wash the clothes according to the target washing mode.
Optionally, in this embodiment, the processor may be further configured to execute, by the computer program, the following steps:
s21, sending the acquired clothes image to a server, wherein the server is used for segmenting and identifying the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
s22, receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content;
and S23, washing according to the target washing mode.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A laundry control processing method, comprising:
carrying out segmentation recognition on the clothes image acquired by the terminal to obtain the characteristic information of the stains of the clothes;
determining the stain type and the stain content according to the clothing stain characteristic information;
determining a target washing mode according to the stain type and the stain content;
and sending the target washing mode to the terminal to instruct the terminal to wash the clothes according to the target washing mode.
2. The method according to claim 1, wherein the step of performing segmentation recognition on the clothes image acquired by the terminal to obtain the clothes stain characteristic information comprises the steps of:
segmenting the clothing image into a plurality of sample regions according to the stain distribution;
screening the plurality of sample areas to obtain a plurality of stain areas;
and carrying out image recognition on the plurality of dirt areas to obtain the clothes dirt characteristic information.
3. The method of claim 1, wherein determining the stain type and the stain content from the laundry stain signature information comprises:
the characteristic information of the stains of the clothes at least comprises: determining the stain type according to the condition of the cloth infiltration, the stain color, the stain position and the clothes type under the conditions of the number of stains, the size of stains, the condition of cloth infiltration, the stain color, the stain position and the clothes type;
determining the stain content based on the number of stains and the stain size.
4. The method of claim 1, wherein determining a target wash style based on the stain type and stain content comprises:
inputting the stain type and the stain content into a pre-trained target washing analysis model to obtain the probability of each washing mode corresponding to the stain type and the stain content output by the target washing analysis model;
and determining the washing mode with the probability larger than a preset threshold value as the target washing mode.
5. The method according to any one of claims 1 to 4, further comprising:
acquiring a target image after washing is finished;
optimizing the target wash analysis model according to the target image.
6. The method of claim 5,
the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
7. A laundry control processing method, comprising:
sending the acquired clothes image to a server, wherein the server is used for carrying out segmentation recognition on the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content;
and washing the clothes according to the target washing mode.
8. The method according to claim 7, wherein the target washing pattern includes at least a detergent name, a detergent amount, a rotation pattern, and a washing time period.
9. A laundry control treatment device, comprising:
the segmentation recognition module is used for carrying out segmentation recognition on the clothes image acquired by the terminal to obtain the clothes stain characteristic information;
the first determination module is used for determining the stain type and the stain content according to the clothing stain characteristic information;
the second determination module is used for determining a target washing mode according to the stain type and the stain content;
and the first sending module is used for sending the target washing mode to the terminal so as to instruct the terminal to wash the clothes according to the target washing mode.
10. A laundry control treatment device, comprising:
the second sending module is used for sending the acquired clothes image to a server, wherein the server is used for carrying out segmentation recognition on the clothes image to obtain clothes stain characteristic information, and determining the stain type and the stain content according to the clothes stain characteristic information;
the receiving module is used for receiving a target washing mode which is sent by the server and determined according to the stain type and the stain content;
and the washing module is used for washing the clothes according to the target washing mode.
11. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to perform the method of any one of claims 1 to 6 and 7 to 8 when the computer program is executed.
12. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and the processor is configured to execute the computer program to perform the method of any one of claims 1 to 6 and 7 to 8.
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