CN117518893A - Ironing control method and device of garment steamer, storage medium and electronic device - Google Patents

Ironing control method and device of garment steamer, storage medium and electronic device Download PDF

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Publication number
CN117518893A
CN117518893A CN202210910317.3A CN202210910317A CN117518893A CN 117518893 A CN117518893 A CN 117518893A CN 202210910317 A CN202210910317 A CN 202210910317A CN 117518893 A CN117518893 A CN 117518893A
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China
Prior art keywords
ironing
clothes
icon
information
ironed
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CN202210910317.3A
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Chinese (zh)
Inventor
吴贵英
苏明月
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Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
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Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
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Application filed by Qingdao Haier Technology Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Technology Co Ltd
Priority to CN202210910317.3A priority Critical patent/CN117518893A/en
Priority to PCT/CN2023/084988 priority patent/WO2024021661A1/en
Publication of CN117518893A publication Critical patent/CN117518893A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423—Input/output
    • 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
    • D06F73/00—Apparatus for smoothing or removing creases from garments or other textile articles by formers, cores, stretchers, or internal frames, with the application of heat or steam 
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/25—Pc structure of the system
    • G05B2219/25257—Microcontroller

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  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Professional, Industrial, Or Sporting Protective Garments (AREA)

Abstract

The application discloses a garment steamer ironing control method, a device, a storage medium and an electronic device, and relates to the technical field of intelligent home/smart families, wherein the garment steamer ironing control method comprises the following steps: acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed; inputting the washing mark image into an ironing icon identification model, and acquiring ironing icon information in the washing mark image; acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data; and determining an ironing mode of the garment to be ironed by the garment steamer according to the ironing icon information and the old and new degree judging result. According to the method and the device, the ironing mode of the clothes to be ironed is determined by identifying the ironing icon information in the washing mark image of the clothes to be ironed and the new and old degree of the position of the clothes area, so that the corresponding ironing gear of the garment steamer is automatically started through the ironing mode, and the accurate ironing of the clothes is realized.

Description

Ironing control method and device of garment steamer, storage medium and electronic device
Technical Field
The application relates to the technical field of intelligent home, in particular to a garment steamer ironing control method, a garment steamer ironing control device, a storage medium and an electronic device.
Background
The garment steamer contacts the clothes or cloth in a natural hanging state through the high-temperature steam generated in the garment steamer, so that the fibers of the clothes or cloth are softened, and ironing of the clothes or cloth is completed. For clothes composed of different fabrics, the traditional garment steamer needs users to manually select different ironing schemes for ironing, and as many users cannot clearly know the ironing modes corresponding to the fabrics of the clothes at all, only the garment steamer can select the largest gear, even all the clothes can not find the proper ironing scheme for the clothes with complex technology, so that the improper ironing scheme is selected, the ironing effect of the clothes is poor, and even the clothes can be damaged.
The intelligent garment steamer on the market at present mostly adopts sensors, such as a humidity sensor, a temperature sensor, a pressure sensor and the like, to sense air humidity, steam temperature and water quantity of a water tank in real time, thereby controlling physical functions of steam quantity or steam temperature and the like, realizing intelligent control of ironing operation or preventing clothes from being damaged. However, the existing intelligent garment steamer realized by adopting a sensor mode has a limited sensing range and low accuracy, and still cannot provide an accurate ironing control scheme for users.
Therefore, there is a need for a garment steamer ironing control method, device, storage medium and electronic device to solve the above problems.
Disclosure of Invention
The application provides a garment steamer ironing control method, device, storage medium and electronic device for it is limited to solve the sensor perception scope that sets up in the garment steamer among the prior art, and ironing operation intelligent control's rate of accuracy is lower, can't provide the defect of accurate ironing control scheme for the user, realizes controlling garment steamer's ironing gear through artificial intelligence image recognition's mode, thereby carries out accurate intelligent ironing to clothing.
The application provides an ironing control method of a garment steamer, which comprises the following steps:
acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed;
inputting the washing label image into an ironing icon identification model to acquire ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label;
acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data;
and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result.
According to the ironing control method of the garment steamer, the ironing icon identification model is obtained through training of the following steps:
acquiring a sample washing mark image of a washing mark area of the clothes;
generating an ironing icon label based on ironing information of the ironing icon in the washing label;
marking a corresponding ironing icon label in an area where an ironing icon is located in each sample washing label image, and constructing a training sample set;
and training the convolutional neural network through the training sample set to obtain an ironing icon recognition model.
According to the ironing control method of the garment steamer provided by the application, the step of obtaining the sample washing mark image corresponding to the garment washing mark area comprises the following steps:
acquiring a washing mark tiling image of the clothing washing mark area under the condition that the washing mark area faces upwards and is tiled;
acquiring a washing label distortion image of the washing label area of the clothes under the condition that the washing label area is right-side-up and distortion exists;
and obtaining a sample washing label image corresponding to the washing label region of the clothes according to the washing label tiling image and the washing label distortion image.
According to the ironing control method of the garment steamer provided by the application, the ironing icon label is generated based on the ironing information of the ironing icon in the washing label, and the ironing control method comprises the following steps:
The method comprises the steps of obtaining ironing information corresponding to each sample washing mark image, wherein the ironing information comprises clothes ironable information, low-temperature ironing information, medium-temperature ironing information, high-temperature ironing information and clothes non-ironable information;
and constructing the ironing icon label according to the clothes ironing information, the low-temperature ironing information, the medium-temperature ironing information, the high-temperature ironing information and the clothes non-ironing information.
According to the ironing control method of the garment steamer provided by the application, the step of obtaining the judging result of the degree of freshness of the garment to be ironed according to the image data of the garment comprises the following steps:
inputting the clothes image data into a clothes new and old degree identification model, and acquiring a new and old degree judgment result corresponding to each area position of the clothes to be ironed, wherein the clothes new and old degree identification model is obtained by training a neural network through sample clothes image data, and each area position of the clothes in the sample clothes image data is marked with a corresponding clothes new and old degree label.
According to the ironing control method of the garment steamer provided by the application, after the washing label image is input into the ironing icon identification model to obtain the ironing icon information in the washing label image, the method further comprises:
Acquiring fabric information of the clothes to be ironed according to the water mark image;
determining the ironing time length of the clothes to be ironed according to the mapping relation between the fabric information and the preset ironing time length;
and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result, wherein the ironing mode comprises the following steps:
obtaining a plurality of target ironing gear information according to the new and old degree judging result corresponding to the position of each area of the clothes to be ironed and the ironing icon information;
and determining ironing modes of different area positions of the clothes to be ironed based on the target ironing gear information and the ironing duration.
According to the ironing control method of the garment steamer provided by the application, after the ironing modes of the positions of different areas of the clothes to be ironed are determined based on the target ironing gear information and the ironing time, the method comprises the following steps:
acquiring the real-time area position of the garment to be ironed when the garment steamer irones the garment to be ironed at the current moment;
and generating a corresponding ironing mode switching instruction according to the real-time area position, so as to switch the ironing mode of the garment steamer.
According to the ironing control method of the garment steamer provided by the application, before the image data of the garment to be ironed is obtained, the method further comprises:
acquiring the image data of the clothes to be ironed;
if the clothes image data is not stored in the virtual wardrobe, after the ironing mode of the clothes to be ironed is determined, building an association relation between the clothes image data and the ironing mode, and storing the clothes image data, the ironing mode and the association relation into a database of the virtual wardrobe;
if the clothes image data are stored in the virtual wardrobe, acquiring the ironing mode from the virtual wardrobe according to the clothes image data;
the virtual wardrobe is constructed by ironing modes of which the historical clothing image data corresponds to the historical clothing image data.
According to the ironing control method of the garment steamer provided by the application, if the image data of the clothes is stored in the virtual wardrobe, after the ironing mode is obtained from the virtual wardrobe according to the image data of the clothes, the method further comprises:
Identifying the wrinkle parts in the clothes image data to obtain a clothes wrinkle area identification result;
generating corresponding ironing area prompt voice information according to the clothing fold area identification result;
and if the steam nozzle of the ironing machine is positioned in the clothes fold area, playing prompt voice according to the prompt voice information of the ironing area.
The application also provides a garment steamer ironing control device, including:
the image acquisition module is used for acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed;
the ironing icon identification module is used for inputting the washing label image into an ironing icon identification model to obtain ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label;
the clothes new and old degree identification module is used for acquiring a new and old degree judgment result of the clothes to be ironed according to the clothes image data;
and the ironing mode mapping module is used for determining an ironing mode of the garment to be ironed by the garment steamer according to the ironing icon information and the new and old degree judging result.
The application also provides a garment steamer, which comprises the garment steamer ironing control device.
The application also provides a computer readable storage medium comprising a stored program, wherein the program when run performs a garment steamer ironing control method according to any one of the above.
The application also provides an electronic device comprising a memory and a processor, the memory storing a computer program, the processor being arranged to implement a garment steamer ironing control method as described in any of the above by execution of the computer program.
According to the ironing control method and device of the garment steamer, the storage medium and the electronic device, the ironing mode of the garment steamer to be ironed is determined by identifying the ironing icon information in the washing mark image of the garment to be ironed and the new and old degree of the garment area position, so that the corresponding ironing gear of the garment steamer is automatically started through the ironing mode, and accurate ironing of the garment is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a hardware environment of an interaction method of a smart device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an ironing control method of the garment steamer provided by the application;
fig. 3 is a schematic structural diagram of an ironing control device of the garment steamer provided by the application;
fig. 4 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like herein are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to one aspect of the embodiments of the present application, a garment steamer ironing control method is provided. The garment steamer ironing control method is widely applied to full-house intelligent digital control application scenes such as intelligent Home (Smart Home), intelligent Home equipment ecology, intelligent Home (Intelligence House) ecology and the like. Alternatively, in the present embodiment, the garment steamer ironing control method described above may be applied to a hardware environment formed by the terminal device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal device 102 through a network, and may be used to provide services (such as application services and the like) for a terminal or a client installed on the terminal, a database may be set on the server or independent of the server, for providing data storage services for the server 104, and cloud computing and/or edge computing services may be configured on the server or independent of the server, for providing data computing services for the server 104.
The network may include, but is not limited to, at least one of: wired network, wireless network. The wired network may include, but is not limited to, at least one of: a wide area network, a metropolitan area network, a local area network, and the wireless network may include, but is not limited to, at least one of: WIFI (Wireless Fidelity ), bluetooth. The terminal device 102 may not be limited to a PC, a mobile phone, a tablet computer, an intelligent air conditioner, an intelligent smoke machine, an intelligent refrigerator, an intelligent oven, an intelligent cooking range, an intelligent washing machine, an intelligent water heater, an intelligent washing device, an intelligent dish washer, an intelligent projection device, an intelligent television, an intelligent clothes hanger, an intelligent curtain, an intelligent video, an intelligent socket, an intelligent sound box, an intelligent fresh air device, an intelligent kitchen and toilet device, an intelligent bathroom device, an intelligent sweeping robot, an intelligent window cleaning robot, an intelligent mopping robot, an intelligent air purifying device, an intelligent steam box, an intelligent microwave oven, an intelligent kitchen appliance, an intelligent purifier, an intelligent water dispenser, an intelligent door lock, and the like.
According to the garment steamer ironing control method, the artificial intelligent image recognition function can be integrated in the mobile phone application program App, the mode of recognizing the ironing icons on the clothes washing mark is adopted, a proper ironing mode program is accurately matched with clothes, and then a corresponding ironing instruction is issued to garment steamer equipment, so that the problem that a user cannot accurately iron when using the garment steamer can be effectively solved, and meanwhile, the clothes can be prevented from being damaged.
Fig. 2 is a schematic flow chart of an ironing control method of a garment steamer, as shown in fig. 2, provided in the present application, including:
step 201, acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed.
In the application, the clothes to be ironed can be photographed through the camera arranged near the steam nozzle of the garment steamer, so that the water mark image of the clothes can be obtained through the photographed image data of the clothes.
Preferably, the garment steamer is used as an intelligent network device with higher intelligent standard through the internet of things (Internet of Things, ioT for short), and is bound with mobile terminal equipment (for example, a mobile phone, a tablet personal computer and the like), the mobile terminal equipment is used for selecting the garment steamer to be used from the bound garment steamer, and then the camera of the mobile terminal equipment is used for collecting images of the water mark of the clothes to be ironed. Based on the high-definition camera configured in the existing mobile terminal equipment, a clearer washing mark image can be obtained, and the mobile terminal equipment is in communication connection with the communication module (such as a WiFi module or a 5G module) aiming at the condition that no camera is arranged in the existing intelligent garment steamer, so that the quick acquisition of related images of clothes is realized, the condition that a camera device is additionally arranged on the garment steamer again is avoided, and the equipment cost is increased.
Step 202, inputting the washing label image into an ironing icon identification model, and obtaining ironing icon information in the washing label image, wherein the ironing icon identification model is obtained by training a sample washing label image marked with an ironing icon label.
In the application, the ironing icon identification model can be arranged on the mobile terminal equipment, and ironing image information of the washing label image is identified through a processor of the mobile terminal equipment; the system can also be arranged at a cloud server, the collected washing label image is uploaded to the cloud server for identification through the mobile terminal equipment, the identification of ironing image information is completed by the cloud server, and the identification result is sent to the mobile terminal equipment.
And 203, acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data.
In the application, the degree of whether the positions of the areas of the clothes are old or not in the clothes image data can be identified through a model obtained through training by utilizing the neural network, for example, the identification results of old back areas of the clothes, newer sleeve areas and the like are obtained.
And 204, determining an ironing mode of the garment steamer for ironing each area position of the garment to be ironed according to the ironing icon information and the old and new degree judging result.
In the application, the ironing icon recognition model can recognize the ironing icon in the water mark image, and the obtained recognition result comprises ironing icon information corresponding to the ironing icon, for example, information that ironing can be performed, the ironing temperature is not more than 100 ℃, the ironing temperature is not more than 150 ℃, the ironing temperature is not more than 200 ℃, and the like. According to the identification results corresponding to different ironing icons and the judging results of the degree of freshness of each area position of the clothes, the corresponding ironing modes are set, so that the ironing icon information, each area position of the clothes and the ironing modes are in a mapping relation, after certain ironing icon information is obtained, the highest temperature of current ironing is firstly determined, then according to the degree of freshness of each area position of the clothes, the most suitable ironing mode of each area of the current clothes can be rapidly determined, for example, when the ironing icon information is that the ironing temperature is not more than 100 ℃, the ironing mode can be a low-temperature gear (for example, the ironing temperature is between 90 ℃ and 100 ℃) and then the temperature of each area position is subdivided according to the degree of freshness of the clothes, for example, the collar area position is older, the ironing temperature can be set to 100 ℃, the front body part of the clothes is newer, and the ironing temperature can be set to 90 ℃.
And finally, after determining the ironing mode of the clothes to be ironed, generating a corresponding ironing gear switching instruction according to the ironing mode so as to enable the garment steamer to adjust to a corresponding gear according to the switching instruction. It should be noted that, in the present application, for a garment steamer in a dormant or closed state, firstly, the garment steamer can be awakened by an ironing gear switching instruction, then, whether the current gear of the garment steamer is consistent with a target ironing gear in the ironing gear switching instruction is confirmed, and if so, ironing operation is directly performed; if the ironing gear is inconsistent, the current ironing gear is adjusted to the target ironing gear, and then ironing operation is carried out.
According to the ironing control method of the garment steamer, the ironing mode of the garment to be ironed is determined by identifying the ironing icon information in the washing mark image of the garment to be ironed and the new and old degree of the garment area position, so that the corresponding ironing gear of the garment steamer is automatically started through the ironing mode, and accurate ironing of the garment is achieved.
On the basis of the embodiment, the ironing icon identification model is obtained through training by the following steps:
acquiring a sample washing mark image of a washing mark area of the clothes;
Generating an ironing icon label based on ironing information of the ironing icon in the washing label;
marking a corresponding ironing icon label in an area where an ironing icon is located in each sample washing label image, and constructing a training sample set;
and training the convolutional neural network through the training sample set to obtain an ironing icon recognition model.
In the method, training is performed on the convolutional neural network by constructing a training sample set, and training is completed after the preset training times are met, so that the ironing icon recognition model is obtained. Specifically, the sample washing label image contains washing labels with various meanings, the ironing icons and other icons (such as dry-cleaning icons, washing icons, hand-washing icons and the like) need to be distinguished, and in order to enable the model to identify the ironing icons, the ironing icon area in each sample washing label image is marked with an ironing icon label.
On the basis of the above embodiment, the generating the ironing icon label based on the ironing information of the ironing icon in the washing label includes:
the method comprises the steps of obtaining ironing information corresponding to each sample washing mark image, wherein the ironing information comprises clothes ironable information, low-temperature ironing information, medium-temperature ironing information, high-temperature ironing information and clothes non-ironable information;
And constructing the ironing icon label according to the clothes ironing information, the low-temperature ironing information, the medium-temperature ironing information, the high-temperature ironing information and the clothes non-ironing information.
In the application, aiming at ironing information corresponding to different ironing icons, ironing icon labels corresponding to different ironing information types are generated, and then according to the types of the ironing icons in the sample washing icon image, the ironing icon labels corresponding to the corresponding ironing information types are marked in the ironing icon area, so that the model can identify the ironing information corresponding to the different ironing icons.
In the application, the ironing temperature of the clothes represented by the clothes ironing label is not particularly limited, and the garment steamer can keep the current gear for ironing operation; the laundry non-ironing capable label indicates that the laundry is prohibited from ironing.
The meaning of the ironing icon label corresponding to the specific ironing temperature gear can be set according to actual requirements, for example, the low-temperature ironing label indicates that the ironing temperature is not more than 110 ℃, the medium-temperature ironing label indicates that the ironing temperature is not more than 150 ℃, and the high-temperature ironing label indicates that the ironing temperature is not more than 200 ℃.
According to the ironing temperature requirements of different garment presses, the three temperature ironing labels can be further subdivided, corresponding ironing icons are arranged at the same time, for example, the low-temperature ironing labels further comprise a first low-temperature ironing label (for example, 60-80 ℃), a second low-temperature ironing label (for example, 90-100 ℃) and a third low-temperature ironing label (for example, 100-110 ℃), the first low-temperature ironing label, the second low-temperature ironing label and the third low-temperature ironing label correspond to the respective ironing icons respectively, similar subdivision supplement is based on similar subdivision supplement is performed on the middle-temperature ironing label and the high-temperature ironing label, so that after garment presses with different gear types are determined, the ironing icon identification model can identify ironing icons on clothes according to ironing gears of the garment presses.
On the basis of the above embodiment, the acquiring the sample washing target image corresponding to the laundry washing target area includes:
acquiring a washing mark tiling image of the clothing washing mark area under the condition that the washing mark area faces upwards and is tiled;
acquiring a washing label distortion image of the washing label area of the clothes under the condition that the washing label area is right-side-up and distortion exists;
and obtaining a sample washing label image corresponding to the washing label region of the clothes according to the washing label tiling image and the washing label distortion image.
In the application, in order to further improve the recognition accuracy of the ironing icon recognition model, when a training sample is constructed, the sample image of the washing label can be completely presented, namely, the washing label tiling image of the obtained washing label region of the clothes is obtained under the condition that the front side of the washing label region of the clothes tiling state is upward.
The method and the device also use sample images under the conditions of twisting or wrinkling of the washing mark, and can not ensure that the washing mark images are collected when the ironing icon recognition is carried out on clothes in a natural hanging state, and the actually obtained washing mark images have certain twisting and wrinkling more or less as the washing mark images in a tiling state, so that the ironing icon recognition model has the condition that the ironing icon recognition model cannot be recognized or is wrong in recognition. Therefore, the water washing label image in the distortion state is also used as a part of the training sample set to train the convolutional neural network, so that the model obtained by training has stronger anti-interference capability, and the recognition accuracy of the model is improved.
On the basis of the above embodiment, the obtaining, according to the image data of the laundry, a result of determining a degree of freshness of the laundry to be ironed includes:
inputting the clothes image data into a clothes new and old degree identification model, and acquiring a new and old degree judgment result corresponding to each area position of the clothes to be ironed, wherein the clothes new and old degree identification model is obtained by training a neural network through sample clothes image data, and each area position of the clothes in the sample clothes image data is marked with a corresponding clothes new and old degree label.
In the application, different label information, namely, clothes new and old degree labels, are firstly constructed, and the labels comprise old labels, older labels, newer labels, brand new labels and the like, and it is required to be noted that the clothes new and old degree labels can be set according to actual requirements. Further, through marking corresponding labels on the positions of all areas of the sample clothes in the sample clothes image data, a training sample set is constructed, then the neural network is trained through the training sample set, and after the preset training times are met, a clothes new and old degree identification model is obtained. The clothes new and old degree identification model can identify the new and old degree of each area position of clothes in the clothes image data, so that a more accurate new and old degree judgment result is provided for the subsequent ironing mode determination.
On the basis of the above embodiment, after the inputting the washing target image into the ironing icon identification model and obtaining the ironing icon information in the washing target image, the method further includes:
acquiring fabric information of the clothes to be ironed according to the water mark image;
determining the ironing time length of the clothes to be ironed according to the mapping relation between the fabric information and the preset ironing time length;
and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result, wherein the ironing mode comprises the following steps:
obtaining a plurality of target ironing gear information according to the new and old degree judging result corresponding to the position of each area of the clothes to be ironed and the ironing icon information;
and determining ironing modes of different area positions of the clothes to be ironed based on the target ironing gear information and the ironing duration.
In the application, when the mobile terminal equipment is used for carrying out image acquisition on clothes to be ironed, the fabric information of the clothes washing mark can be acquired at the same time, and the characteristic of distinction exists for the duration of sustainable ironing of different clothes materials. Further, by combining ironing icon information and a result of judging the degree of freshness corresponding to each region position of the clothes to be ironed, generating an ironing mode corresponding to each region position of the clothes to realize more accurate ironing control, for example, for a jacket of silk fabric, ironing duration of the same position of the clothes does not exceed 10 minutes, wherein ironing temperature corresponding to the ironing icon information of the clothes is 110-120 ℃, further, generating corresponding target ironing gear information for each region position according to the degree of freshness of each region position of the clothes, wherein a cuff region of the jacket is older, and ironing temperature corresponding to an ironing gear is 120 ℃; the front region of the coat is newer, and the ironing temperature corresponding to the ironing gear is 110 ℃.
On the basis of the above embodiment, after determining the ironing modes of the different area positions of the laundry to be ironed based on the plurality of target ironing gear information and the ironing duration, the method includes:
acquiring the real-time area position of the garment to be ironed when the garment steamer irones the garment to be ironed at the current moment;
and generating a corresponding ironing mode switching instruction according to the real-time area position, so as to switch the ironing mode of the garment steamer.
In this application, the camera that accessible garment steamer's ironing head position department set up gathers garment area position that garment steamer current ironed in real time, when garment steamer moved to other area positions of waiting to iron the clothing, can carry out ironing mode switch at any time. Preferably, the corresponding ironing mode switching display information can be generated according to the current ironing position of the garment steamer, so that a user can select whether to switch the ironing mode or not through a touch mode through a mobile terminal (such as a mobile phone) of the user or a display terminal arranged by the garment steamer.
On the basis of the above embodiment, before the image data of the laundry to be ironed is obtained, the method further includes:
Acquiring the image data of the clothes to be ironed;
if the clothes image data is not stored in the virtual wardrobe, after the ironing mode of the clothes to be ironed is determined, building an association relation between the clothes image data and the ironing mode, and storing the clothes image data, the ironing mode and the association relation into a database of the virtual wardrobe;
if the clothes image data are stored in the virtual wardrobe, acquiring the ironing mode from the virtual wardrobe according to the clothes image data;
the virtual wardrobe is constructed by ironing modes of which the historical clothing image data corresponds to the historical clothing image data.
In the application, the garment steamer is used as an intelligent network device and matched with the mobile terminal equipment, the image of the garment to be ironed is acquired through the mobile terminal equipment, so that the garment image data are obtained, meanwhile, a virtual wardrobe is arranged in the mobile terminal equipment through a corresponding application program App, and a garment steamer operation instruction is issued to the garment steamer through the mobile terminal equipment. It should be noted that, in the present application, the virtual wardrobe may also be disposed at the cloud server, and through the mobile terminal device, the image uploading and the ironing mode issuing are implemented between the garment steamer and the cloud server.
Further, when photographing the clothes, the mobile terminal equipment also photographs the water washing mark of the clothes. Further, the clothes image data is uploaded to the virtual wardrobe, when the clothes image data is stored in the virtual wardrobe, the fact that ironing histories exist on the clothes is indicated, ironing icons of the clothes are identified, ironing modes of the clothes are stored in the virtual wardrobe, at the moment, the ironing icons are not needed to be identified, the ironing modes of the clothes can be directly called from the virtual wardrobe according to the clothes image data, and a corresponding gear adjusting instruction of the garment steamer is generated.
When the related image data of the clothes are not stored in the virtual wardrobe, inputting the washing mark image into an ironing icon identification model, acquiring ironing icon information in the washing mark image, and determining an ironing mode of the clothes according to the ironing icon information; and then the ironing mode is stored in the virtual wardrobe, so that the corresponding clothes are directly clicked from the virtual wardrobe according to the clothes image data to realize one-key ironing when ironing next time. In the application, the mapping relation between the historical clothing images and the ironing modes is established through the virtual wardrobe, and the ironing modes can be quickly obtained under the condition that the historical ironing records exist, wherein the garment steamer equipment receives and executes corresponding ironing gear operation instructions through a wireless network.
On the basis of the foregoing embodiment, if the clothes image data is stored in the virtual wardrobe, after the ironing mode is obtained from the virtual wardrobe according to the clothes image data, the method further includes:
identifying the wrinkle parts in the clothes image data to obtain a clothes wrinkle area identification result;
generating corresponding ironing area prompt voice information according to the clothing fold area identification result;
and if the steam nozzle of the ironing machine is positioned in the clothes fold area, playing prompt voice according to the prompt voice information of the ironing area.
In the application, the wrinkle parts in the clothing image data collected by the mobile terminal device are identified, specifically, a preset wrinkle level can be set, and the clothing image data is compared with a sample wrinkle image corresponding to the preset wrinkle level, so that the wrinkle condition of which areas in the clothing image data is judged. Further, when the user uses the garment steamer to iron the wrinkled part of the clothes, prompt voice is generated to remind the user that important ironing is needed.
The ironing control device of the garment steamer provided by the application is described below, and the ironing control device of the garment steamer and the ironing control method of the garment steamer described below can be correspondingly referred to each other.
Fig. 3 is a schematic structural diagram of an ironing control device of a garment steamer, as shown in fig. 3, provided by the present application, the ironing control device of the garment steamer includes an image acquisition module 301, an ironing icon identification module 302, a clothes new and old degree identification module 303, and an ironing mode mapping module 304, wherein the image acquisition module 301 is configured to acquire a washing label image of a garment to be ironed through image data of the garment to be ironed; the ironing icon identification module 302 is configured to input the washing icon image into an ironing icon identification model, and obtain ironing icon information in the washing icon image, where the ironing icon identification model is obtained by training a sample washing icon image marked with an ironing icon label; the clothes new and old degree identification module 303 is configured to obtain a new and old degree determination result of the clothes to be ironed according to the clothes image data; the ironing mode mapping module 304 is configured to determine an ironing mode of the garment to be ironed by the garment steamer according to the ironing icon information and the result of the determination of the degree of freshness.
In the present application, the image acquisition module 301 may be a camera disposed near a steam nozzle of a garment steamer, and photographs the garment to be ironed and a washing label of the garment to be ironed, so as to obtain a washing label image of the garment. Preferably, the garment steamer is used as an intelligent network device and is bound with mobile terminal equipment (such as a mobile phone, a tablet personal computer and the like), the mobile terminal equipment is utilized to select the garment steamer to be used from the bound garment steamer, a camera of the mobile terminal equipment is used as an image acquisition module 301, and image acquisition is carried out on a water mark of clothes to be ironed. Based on the high-definition camera configured in the existing mobile terminal equipment, a clearer washing mark image can be obtained, and the mobile terminal equipment is in communication connection with the communication module (such as a WiFi module or a 5G module) aiming at the condition that no camera is arranged in the existing intelligent garment steamer, so that the quick acquisition of related images of clothes is realized, the condition that a camera device is additionally arranged on the garment steamer again is avoided, and the equipment cost is increased.
Further, the ironing icon recognition module 302 may be disposed in the mobile terminal device, and recognize ironing image information of the washing target image through a processor of the mobile terminal device; the system can also be arranged at a cloud server, the collected washing label image is uploaded to the cloud server for identification through the mobile terminal equipment, the identification of ironing image information is completed by the cloud server, and the identification result is sent to the mobile terminal equipment.
In the present application, the ironing icon recognition module 302 may recognize the ironing icon in the washing label image, and the obtained recognition result includes ironing icon information corresponding to the ironing icon, for example, information that ironing can be performed, the ironing temperature is not more than 100 ℃, the ironing temperature is not more than 150 ℃, the ironing temperature is not more than 200 ℃, and ironing cannot be performed. According to the recognition results corresponding to different ironing icons, the clothes new and old degree recognition module 303 is combined with the clothes new and old degree judgment result of each area position, a corresponding ironing mode is set, after certain ironing icon information is obtained by the ironing mode mapping module 304, the highest ironing temperature is firstly determined, then according to the new and old degree of each area position of the clothes, the most suitable ironing mode of each area of the current clothes can be rapidly determined, for example, when the ironing icon information is ironing temperature which is not more than 100 ℃, the ironing mode can be a low-temperature gear (for example, the ironing temperature is between 90 ℃ and 100 ℃), and then according to the clothes new and old degree, the temperature of each area position is subdivided, for example, the collar area position is older, the ironing temperature can be set to 100 ℃, and the clothes upper body part is newer, and the ironing temperature can be set to 90 ℃.
And finally, after determining the ironing mode of the clothes to be ironed, generating a corresponding ironing gear switching instruction according to the ironing mode, and adjusting the ironing gear of the garment steamer according to the switching instruction. It should be noted that, in the present application, for a garment steamer in a dormant or closed state, the garment steamer may be awakened by an ironing gear switching instruction, and then it is confirmed whether the current gear of the garment steamer is consistent with the target ironing gear in the ironing gear switching instruction, if so, ironing operation is directly performed; if the ironing gear is inconsistent, the current ironing gear is adjusted to the target ironing gear, and then ironing operation is carried out.
According to the ironing control device of the garment steamer, the ironing mode of the garment to be ironed is determined by identifying the ironing icon information in the washing mark image of the garment to be ironed and the new and old degree of the garment area position, so that the corresponding ironing gear of the garment steamer is automatically started through the ironing mode, and accurate ironing of the garment is achieved.
On the basis of the embodiment, the device further comprises a sample image acquisition module, a sample label generation module, a training set construction module and a training module, wherein the sample image acquisition module is used for acquiring a sample washing label image of the clothes washing label area; the sample label generating module is used for generating an ironing icon label based on ironing information of the ironing icon in the washing label; the training set construction module is used for ironing the region mark where the icon is positioned in each sample washing mark image and marking the corresponding ironing icon label, so as to construct a training sample set; the training module is used for training the convolutional neural network through the training sample set to obtain an ironing icon identification model.
In the application, the sample washing mark images comprise washing marks with different meanings, and firstly, the sample washing mark images with different meanings are collected through a sample image acquisition module; then, the sample label generating module distinguishes the ironing icon from other icons (such as a dry cleaning icon, a washing icon, a hand washing icon and the like) to generate labels corresponding to different ironing icons, and in the application, the sample label generating module is specifically used for: the method comprises the steps of obtaining ironing information corresponding to each sample washing image, wherein the ironing information comprises clothes ironable information, low-temperature ironing information, medium-temperature ironing information, high-temperature ironing information and clothes non-ironable information; and constructing the ironing icon label according to the clothes ironing information, the low-temperature ironing information, the medium-temperature ironing information, the high-temperature ironing information and the clothes non-ironing information.
In the application, the sample label generating module generates ironing icon labels corresponding to different ironing information types according to the ironing information corresponding to different ironing icons, and then marks the ironing icon labels corresponding to the corresponding ironing information types in the ironing icon area according to the types of the ironing icons in the sample washing label image, so that the model can identify the ironing information corresponding to the different ironing icons.
In the application, the ironing temperature of the clothes represented by the clothes ironing label is not particularly limited, and the garment steamer can keep the current gear for ironing operation; the laundry non-ironing capable label indicates that the laundry is prohibited from ironing.
The meaning of the ironing icon label corresponding to the specific ironing temperature gear can be set according to actual requirements, for example, the low-temperature ironing label indicates that the ironing temperature is not more than 110 ℃, the medium-temperature ironing label indicates that the ironing temperature is not more than 150 ℃, and the high-temperature ironing label indicates that the ironing temperature is not more than 200 ℃. According to the ironing temperature requirements of different garment presses, the three temperature ironing labels can be further subdivided, corresponding ironing icons are arranged at the same time, for example, the low-temperature ironing labels further comprise a first low-temperature ironing label (for example, 60-80 ℃), a second low-temperature ironing label (for example, 90-100 ℃) and a third low-temperature ironing label (for example, 100-110 ℃), the first low-temperature ironing label, the second low-temperature ironing label and the third low-temperature ironing label correspond to the respective ironing icons respectively, similar subdivision supplement is based on similar subdivision supplement is performed on the middle-temperature ironing label and the high-temperature ironing label, so that after garment presses with different gear types are determined, the ironing icon identification model can identify ironing icons on clothes according to ironing gears of the garment presses.
Further, in order to enable the model to recognize the ironing icon, the training set construction module marks the ironing icon area in each sample washing label image with the ironing icon label, so that the construction of the training set is completed. And finally, training the convolutional neural network by using a training sample set through a training module, and completing training after the preset training times are met to obtain the ironing icon identification model.
On the basis of the above embodiment, the sample image acquisition module includes: the device comprises a first sample image acquisition unit, a second sample image acquisition unit and a processing unit, wherein the first sample image acquisition unit is used for acquiring a washing mark tiling image of a clothes washing mark area under the condition that the washing mark area is right-side-up and tiling-placed; the second sample image acquisition unit is used for acquiring a washing mark distortion image of the washing mark area of the clothes under the condition that the front surface of the washing mark area faces upwards and distortion exists; and the processing unit is used for obtaining a sample washing mark image corresponding to the clothing washing mark area according to the washing mark tiling image and the washing mark distortion image.
In the application, in order to further improve the recognition accuracy of the ironing icon recognition model, when a training sample is constructed, a sample image of the washing mark can be completely presented, namely, the washing mark tiling image of the washing mark region of the clothes is obtained through the first sample image acquisition unit under the condition that the front face of the washing mark region of the clothes tiling state is upward. And the second sample image acquisition unit is used for acquiring sample images under the conditions of distortion or fold of the washing label and the like, and the situation that the ironing icon recognition model cannot recognize or recognize errors is caused because the washing label images cannot be acquired when the ironing icon recognition is carried out on clothes in a natural hanging state and the actually obtained washing label images are more or less distorted and folded like the washing label images in a tiled state. Therefore, the water washing label image in the distortion state is also used as a part of the training sample set to train the convolutional neural network, so that the model obtained by training has stronger anti-interference capability, and the recognition accuracy of the model is improved.
On the basis of the above embodiment, the clothes new and old degree identification module is specifically configured to:
inputting the clothes image data into a clothes new and old degree identification model, and acquiring a new and old degree judgment result corresponding to each area position of the clothes to be ironed, wherein the clothes new and old degree identification model is obtained by training a neural network through sample clothes image data, and each area position of the clothes in the sample clothes image data is marked with a corresponding clothes new and old degree label.
On the basis of the embodiment, the device further comprises a fabric information acquisition module and an ironing duration determination module, wherein the fabric information acquisition module is used for acquiring fabric information of the clothes to be ironed according to the water mark images; the ironing duration determining module is used for determining the ironing duration of the clothes to be ironed according to the mapping relation between the fabric information and the preset ironing duration;
the ironing mode mapping module is specifically used for:
obtaining a plurality of target ironing gear information according to the new and old degree judging result corresponding to the position of each area of the clothes to be ironed and the ironing icon information;
and determining ironing modes of different area positions of the clothes to be ironed based on the target ironing gear information and the ironing duration.
In the application, when the mobile terminal equipment performs image acquisition on clothes to be ironed, the fabric information at the washing mark of the clothes is acquired through the fabric information acquisition module. Aiming at the characteristic that the continuous ironing time length of different clothes materials is different, in order to prevent the clothes from being damaged due to overtime ironing of the clothes made of different materials, an ironing time length determining module sets different preset ironing time lengths according to the fabric information, so that a mapping relation between the fabric information and the preset ironing time length is constructed, after the fabric information of the clothes is obtained, the ironing time length is determined according to the mapping relation, further, ironing modes corresponding to the positions of each region of the clothes are generated by combining ironing icon information and a judging result of the degree of the freshness corresponding to the positions of each region of the clothes to be ironed, so that more accurate ironing control is realized, for example, the upper garment of the silk fabric is performed, the ironing temperature is 110-120 ℃, the ironing time length of the same position of the clothes is not more than 10 minutes, the ironing temperature corresponding to the ironing icon information of the clothes is 110-120 ℃, further, according to the degree of the freshness of each region position of the clothes, corresponding target ironing gear information is generated for each region position, the upper garment cuff region is older, and the ironing temperature corresponding to the ironing gear is 120 ℃; the front region of the coat is newer, and the ironing temperature corresponding to the ironing gear is 110 ℃.
On the basis of the embodiment, the device further comprises an automatic ironing mode switching module, which is used for obtaining the real-time area position of the garment to be ironed when the garment steamer is ironing at the current moment, and generating a corresponding ironing mode switching instruction according to the real-time area position, so as to switch the ironing mode of the garment steamer.
On the basis of the embodiment, the device further comprises a clothes image acquisition module and a virtual wardrobe module, wherein the clothes image acquisition module is used for acquiring clothes image data of the clothes to be ironed; the virtual wardrobe module is used for constructing an association relationship between the clothes image data and the ironing mode after determining the ironing mode of the clothes to be ironed if the clothes image data is not stored in the virtual wardrobe, and storing the clothes image data, the ironing mode and the association relationship into a database of the virtual wardrobe; if the clothes image data are stored in the virtual wardrobe, acquiring the ironing mode from the virtual wardrobe according to the clothes image data; the virtual wardrobe is constructed by ironing modes of which the historical clothing image data corresponds to the historical clothing image data.
In the application, the garment steamer is used as an intelligent network device and matched with the mobile terminal equipment, a camera of the mobile terminal equipment is also used as a clothes image acquisition module, an image of clothes to be ironed is acquired, so that clothes image data are obtained, meanwhile, a virtual wardrobe is arranged in the mobile terminal equipment through a corresponding application program App, and a garment steamer operation instruction is issued to the garment steamer through the virtual wardrobe module. It should be noted that, in the present application, the virtual wardrobe module may also be disposed at the cloud server, and through the mobile terminal device, the image uploading and the ironing mode issuing are implemented between the garment steamer and the cloud server.
Further, when photographing the clothes, the mobile terminal equipment also photographs the water washing mark of the clothes. Further, the clothes image data is uploaded to the virtual wardrobe module, when the clothes image data is stored in the virtual wardrobe module, the fact that ironing history records exist on the clothes is described, ironing icons of the clothes are identified, ironing modes of the clothes are stored in the virtual wardrobe module, at the moment, the ironing icons are not needed to be identified, the ironing modes of the clothes can be directly called from the virtual wardrobe module according to the clothes image data, and a corresponding gear adjusting instruction of the garment steamer is generated.
When the related image data of the clothes are not stored in the virtual wardrobe module, inputting the washing mark image into the ironing icon identification model, acquiring ironing icon information in the washing mark image, and determining the ironing mode of the clothes according to the ironing icon information; and then the ironing mode is stored in the virtual wardrobe module, so that the corresponding clothes are directly clicked from the virtual wardrobe module according to the clothes image data to realize one-key ironing when ironing next time. In the application, the mapping relation between the historical clothing images and the ironing modes is established through the virtual wardrobe module, and the ironing modes can be rapidly acquired under the condition that the historical ironing records exist, wherein the garment steamer equipment receives and executes corresponding ironing gear operation instructions through a wireless network.
On the basis of the embodiment, the device further comprises a fold area identification module and a fold area voice prompt module, wherein the fold area identification module is used for identifying fold positions in the clothing image data to obtain clothing fold area identification results; the fold area voice prompt module is used for generating corresponding ironing area prompt voice information according to the clothing fold area recognition result; and if the steam nozzle of the ironing machine is positioned in the clothes fold area, playing prompt voice according to the prompt voice information of the ironing area.
In the application, the wrinkle area identification module identifies wrinkle parts in the clothes image data acquired by the mobile terminal device, specifically, preset wrinkle levels can be set, and the clothes image data is compared with sample wrinkle images corresponding to the preset wrinkle levels, so that the condition of wrinkles in which areas in the clothes image data exist is judged. Further, when a user uses the garment steamer to iron the wrinkle part in the clothes, the wrinkle area voice prompt module generates prompt voice to remind the user that important ironing is needed.
The application also provides a garment steamer, comprising the garment steamer ironing control device according to the embodiments, and an inner core (steam heater), a body shell, a water tank, a steam nozzle, a steam conduit and a telescopic bracket. According to the garment steamer, the ironing icon information in the washing mark image of the garment to be ironed and the new and old degree of the garment area position are identified through the garment steamer ironing control device, and then the ironing mode of the garment to be ironed is determined through the stored mapping relation in the cloud server or the mobile terminal device, so that the corresponding ironing gear of the garment steamer is automatically started through the ironing mode, and accurate ironing of the garment is achieved.
Fig. 4 is a schematic structural diagram of an electronic device provided in the present application, as shown in fig. 4, the electronic device may include: processor 410, communication interface (Communications Interface) 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other via communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a garment steamer ironing control method comprising: acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed; inputting the washing label image into an ironing icon identification model to acquire ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label; acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data; and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present application further provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a computer readable storage medium, the computer program, when executed by a processor, being capable of executing the garment steamer ironing control method provided by the above methods, the method comprising: acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed; inputting the washing label image into an ironing icon identification model to acquire ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label; acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data; and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result.
In still another aspect, the present application further provides a computer readable storage medium, where the computer readable storage medium includes a stored program, where the program executes the garment steamer ironing control method provided by the above methods, and the method includes: acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed; inputting the washing label image into an ironing icon identification model to acquire ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label; acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data; and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (13)

1. An ironing control method of a garment steamer is characterized by comprising the following steps:
acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed;
inputting the washing label image into an ironing icon identification model to acquire ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label;
acquiring a judging result of the degree of freshness of the clothes to be ironed according to the clothes image data;
and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result.
2. The garment steamer ironing control method as claimed in claim 1, characterized in that the ironing icon recognition model is trained by the following steps:
acquiring a sample washing mark image of a washing mark area of the clothes;
generating an ironing icon label based on ironing information of the ironing icon in the washing label;
marking a corresponding ironing icon label in an area where an ironing icon is located in each sample washing label image, and constructing a training sample set;
and training the convolutional neural network through the training sample set to obtain an ironing icon recognition model.
3. The method for controlling ironing of a garment steamer according to claim 2, wherein the step of obtaining a sample wash mark image corresponding to the laundry wash mark area comprises:
acquiring a washing mark tiling image of the clothing washing mark area under the condition that the washing mark area faces upwards and is tiled;
acquiring a washing label distortion image of the washing label area of the clothes under the condition that the washing label area is right-side-up and distortion exists;
and obtaining a sample washing label image corresponding to the washing label region of the clothes according to the washing label tiling image and the washing label distortion image.
4. The garment steamer ironing control method as claimed in claim 2, wherein the generating an ironing icon label based on the ironing information of the ironing icon in the water wash label comprises:
The method comprises the steps of obtaining ironing information corresponding to each sample washing mark image, wherein the ironing information comprises clothes ironable information, low-temperature ironing information, medium-temperature ironing information, high-temperature ironing information and clothes non-ironable information;
and constructing the ironing icon label according to the clothes ironing information, the low-temperature ironing information, the medium-temperature ironing information, the high-temperature ironing information and the clothes non-ironing information.
5. The method according to claim 1, wherein the obtaining the result of determining the degree of freshness of the laundry to be ironed according to the laundry image data comprises:
inputting the clothes image data into a clothes new and old degree identification model, and acquiring a new and old degree judgment result corresponding to each area position of the clothes to be ironed, wherein the clothes new and old degree identification model is obtained by training a neural network through sample clothes image data, and each area position of the clothes in the sample clothes image data is marked with a corresponding clothes new and old degree label.
6. The garment steamer ironing control method of claim 1, wherein after the entering the wash mark image into the ironing icon identification model to obtain the ironing icon information in the wash mark image, the method further comprises:
Acquiring fabric information of the clothes to be ironed according to the water mark image;
determining the ironing time length of the clothes to be ironed according to the mapping relation between the fabric information and the preset ironing time length;
and determining an ironing mode of the garment steamer for ironing the position of each area of the garment to be ironed according to the ironing icon information and the old and new degree judging result, wherein the ironing mode comprises the following steps:
obtaining a plurality of target ironing gear information according to the new and old degree judging result corresponding to the position of each area of the clothes to be ironed and the ironing icon information;
and determining ironing modes of different area positions of the clothes to be ironed based on the target ironing gear information and the ironing duration.
7. The garment steamer ironing control method according to claim 6, wherein after the ironing mode of the different area location of the garment to be ironed is determined based on the plurality of target ironing gear information and the ironing duration, the method comprises:
acquiring the real-time area position of the garment to be ironed when the garment steamer irones the garment to be ironed at the current moment;
and generating a corresponding ironing mode switching instruction according to the real-time area position, so as to switch the ironing mode of the garment steamer.
8. The garment steamer ironing control method as claimed in claim 1, characterized in that before the obtaining of the water wash mark image of the garment to be ironed by the garment image data of the garment to be ironed, the method further comprises:
acquiring the image data of the clothes to be ironed;
if the clothes image data is not stored in the virtual wardrobe, after the ironing mode of the clothes to be ironed is determined, building an association relation between the clothes image data and the ironing mode, and storing the clothes image data, the ironing mode and the association relation into a database of the virtual wardrobe;
if the clothes image data are stored in the virtual wardrobe, acquiring the ironing mode from the virtual wardrobe according to the clothes image data;
the virtual wardrobe is constructed by ironing modes of which the historical clothing image data corresponds to the historical clothing image data.
9. The ironing control method of claim 8, wherein if the image data of the laundry is stored in the virtual wardrobe, after the ironing mode is obtained from the virtual wardrobe according to the image data of the laundry, the method further comprises:
Identifying the wrinkle parts in the clothes image data to obtain a clothes wrinkle area identification result;
generating corresponding ironing area prompt voice information according to the clothing fold area identification result;
and if the steam nozzle of the ironing machine is positioned in the clothes fold area, playing prompt voice according to the prompt voice information of the ironing area.
10. An ironing control device of a garment steamer, comprising:
the image acquisition module is used for acquiring a washing mark image of the clothes to be ironed through the clothes image data of the clothes to be ironed;
the ironing icon identification module is used for inputting the washing label image into an ironing icon identification model to obtain ironing icon information in the washing label image, wherein the ironing icon identification model is obtained through training of a sample washing label image marked with an ironing icon label;
the clothes new and old degree identification module is used for acquiring a new and old degree judgment result of the clothes to be ironed according to the clothes image data;
and the ironing mode mapping module is used for determining an ironing mode of the garment to be ironed by the garment steamer according to the ironing icon information and the new and old degree judging result.
11. A garment steamer comprising the garment steamer ironing control device of claim 10.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program when run performs the method of any one of claims 1 to 9.
13. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of claims 1 to 9 by means of the computer program.
CN202210910317.3A 2022-07-29 2022-07-29 Ironing control method and device of garment steamer, storage medium and electronic device Pending CN117518893A (en)

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CN202210910317.3A CN117518893A (en) 2022-07-29 2022-07-29 Ironing control method and device of garment steamer, storage medium and electronic device
PCT/CN2023/084988 WO2024021661A1 (en) 2022-07-29 2023-03-30 Steaming control method and device of clothes steamer, and storage medium and electronic device

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EP2655727B1 (en) * 2010-12-23 2014-11-05 Koninklijke Philips N.V. Steam ironing device
CN108468197B (en) * 2018-03-20 2021-05-04 广州视源电子科技股份有限公司 Clothes nursing method and clothes nursing machine
KR102079661B1 (en) * 2019-05-24 2020-02-20 남현욱 Intelligence technique steam iron
CN112709041B (en) * 2019-10-24 2024-01-23 青岛海尔洗衣机有限公司 Control method of clothes treatment equipment and clothes treatment equipment
CN113495583A (en) * 2020-03-20 2021-10-12 北京小米移动软件有限公司 Control method and device of hanging ironing equipment
CN113756076B (en) * 2021-09-18 2023-05-12 珠海格力电器股份有限公司 Clothes ironing method, system, device, equipment and storage medium
CN114481584A (en) * 2022-01-17 2022-05-13 青岛海尔智护电器有限公司 Ironing method of garment steamer, control device, garment steamer and electronic equipment

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