Fabric treatment device

Abstract

The application relates to the technical field of fabric treatment equipment, in particular to a fabric treatment equipment.The fabric treatment equipment comprises a fabric treatment cylinder and an image recognition component; the fabric treatment cylinder is used for placing fabrics to be washed; the fabric treatment cylinder is provided with an opening, and the opening is closed by a glass bowl; the image recognition component is installed in the glass bowl, an image acquisition end of the image recognition component faces a bottom area of the fabric treatment cylinder, and the image acquisition end is used for at least acquiring image information of fabrics in the bottom area of the fabric treatment cylinder in a static state.In the application, the image recognition component can acquire local image information of the fabrics in the bottom area of the fabric treatment cylinder in the static state, so that fabric information of the fabrics can be accurately acquired, subsequent washing quality and dehydration quality of the fabrics are improved, and user experience is improved.

Description

Technical Field

[0001] This application relates to the field of fabric processing equipment technology, and in particular to a fabric processing device. Background Technology

[0002] As people's living standards improve, textile processing equipment such as washing machines have become one of the essential household appliances.

[0003] Traditional fabric handling equipment typically requires users to manually select the appropriate washing mode based on the fabric type to ensure proper cleaning and protection. However, due to the wide variety of fabric types and their varying washing requirements, users often struggle to accurately determine the fabric type, leading to the selection of inappropriate washing modes. This not only affects cleaning effectiveness but may also damage the fabric.

[0004] Existing technologies also include using image recognition components such as cameras to analyze fabric images before executing corresponding washing or dehydration processes.

[0005] However, existing fabric processing equipment still has the following problems: On the one hand, traditional fabric processing equipment requires users to manually select the washing mode according to the fabric type, which is cumbersome and prone to poor cleaning effect, waste of resources, or damage to fabrics due to improper selection; on the other hand, existing image recognition-based fabric classification methods mainly focus on the overall macroscopic image of the fabric, ignoring the local detailed features of the fabric, making it difficult to classify fabrics with high accuracy. In addition, although some professional fabric detection systems have high accuracy, they are complex in structure and expensive, making them unsuitable for the application scenarios of household washing machines. Summary of the Invention

[0006] In view of this, this application provides a fabric processing device to solve the problem that existing fabric processing devices have poor fabric washing and dehydration quality due to inaccurate classification of fabric materials, which leads to a poor user experience.

[0007] This application provides a fabric processing apparatus, which includes:

[0008] A fabric processing tube is used to hold fabrics to be washed, and the fabric processing tube has an opening that is closed by a glass bowl; an image recognition component is installed inside the glass bowl, and the image acquisition end of the image recognition component faces the bottom area of ​​the fabric processing tube, at least for acquiring image information of the fabric in the bottom area of ​​the fabric processing tube when it is stationary.

[0009] In some embodiments, the image acquisition end of the image recognition component is arranged in a downward direction, and the shooting direction is directed towards the bottom area of ​​the fabric processing tube.

[0010] In some embodiments, the image recognition component is spaced at a preset distance from the glass bowl.

[0011] In some embodiments, a sensing plane is formed in the glass bowl near the bottom of the fabric processing tube, and the image recognition component is opposite to the bottom area of ​​the fabric processing tube through the sensing plane.

[0012] In some embodiments, the fabric processing apparatus further includes an illumination assembly for providing an illumination source or an enhancement source for the area captured by the image recognition assembly.

[0013] In some embodiments, the lighting assembly includes multiple lighting units, each of which can be independently controlled to switch on and off.

[0014] In some embodiments, the lighting unit includes a first lighting unit disposed inside the glass bowl and located diagonally above the image recognition component;

[0015] The first lighting unit includes a first lighting lamp.

[0016] In some embodiments, the lighting unit further includes a second lighting unit disposed inside the glass bowl and located diagonally below the image recognition component;

[0017] The second lighting unit includes a second lighting lamp.

[0018] In some embodiments, the image acquisition end of the image recognition component is provided with a light shield;

[0019] as well as,

[0020] The image recognition component includes at least a telephoto camera.

[0021] In some embodiments, the fabric processing device further includes a processor for receiving image information acquired by the image recognition component to determine the fabric type of the fabric.

[0022] Compared with the prior art, the main advantages of this application are:

[0023] The fabric processing equipment of this application includes a fabric processing drum and an image recognition component. The fabric processing drum is used to hold the fabric to be washed and has an opening that is closed by a glass bowl. The image recognition component is installed inside the glass bowl, with its image acquisition end facing the bottom area of ​​the fabric processing drum, and is used to acquire image information of the fabric in the bottom area of ​​the fabric processing drum when it is stationary. This application utilizes an image recognition component to acquire local image information of the fabric in the bottom area of ​​the fabric processing drum when it is stationary, thereby accurately obtaining the fabric information, improving the subsequent washing and dehydration quality of the fabric, and enhancing the user experience. Attached Figure Description

[0024] To more clearly illustrate the embodiments of this application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0025] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which this application can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and purposes that this application can produce, should still fall within the scope of the technical content disclosed in this application.

[0026] Figure 1 This is a schematic diagram of the structure of a fabric processing apparatus according to an embodiment of this application.

[0027] Icon labels:

[0028] 100. Fabric processing equipment;

[0029] 110. Fabric processing tube; 111. Opening; 112. Glass bowl; 1121. Collection plane;

[0030] 120. Image recognition component;

[0031] 130. Lighting assembly; 131. First lighting unit; 132. Second lighting unit; 1321. Signal line channel;

[0032] 140. Processor. Detailed Implementation

[0033] The following specific embodiments illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0034] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. “Multiple” generally includes at least two, but does not exclude the inclusion of at least one.

[0035] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0036] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a product or system comprising a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a product or system. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the product or system that includes said element.

[0037] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0038] Example 1

[0039] like Figure 1 As shown, an exemplary embodiment of this application provides a fabric processing apparatus 100. The fabric processing apparatus 100 includes a fabric processing tube 110, an image recognition component 120, an illumination component 130, and a processor 140.

[0040] The fabric processing equipment 100 may include, but is not limited to, a washing machine, which may include, but is not limited to, a washer-dryer combo, etc. For example, the washing machine may be a front-loading washing machine or a top-loading washing machine with drying or washing functions, and of course, the washing machine may also be other types of fully automatic washing machines.

[0041] In this example and the examples below, the fabric handling equipment is illustrated using a drum washing machine as an example.

[0042] Reference Figure 1 As shown, the fabric handling drum 110 is used to hold fabrics to be washed. The fabric handling drum 110 has an opening 111, which is closed by a glass bowl 112. The fabric handling drum 110 can be a cylindrical structure, and its inner wall may have multiple protrusions to tumble the fabric during rotation, thereby improving the washing effect. The fabric handling drum 110 can be made of stainless steel or other corrosion-resistant materials to ensure that its performance is not affected by corrosion during long-term use. The opening 111 can be located on the front end face of the fabric handling drum 110 for inserting or removing fabrics.

[0043] A glass bowl 112 is used to seal the opening 111 of the fabric treatment cylinder 110. The glass bowl 112 can be made of transparent glass to allow the user to observe the interior of the fabric treatment cylinder 110. The glass bowl 112 can be convex, with the convex surface facing outwards from the fabric treatment cylinder 110. This design increases the strength of the glass bowl 112 and also facilitates the installation of the image recognition component 120. The glass bowl 112 and the fabric treatment cylinder 110 are sealed together using a sealing ring to prevent water or detergent leakage from the connection point.

[0044] An image recognition component 120 is installed inside a glass bowl 112, with its image acquisition end facing the bottom area of ​​the fabric processing cylinder 110. It is used to acquire image information of the fabric within the bottom area of ​​the fabric processing cylinder 110 when it is stationary. The image recognition component 120 may include a camera, an image processing circuit, and a data transmission module. The camera captures images of the fabric, the image processing circuit performs preliminary processing on the captured images, and the data transmission module transmits the processed image data to the processor 140. The image recognition component 120 can be fixed inside the glass bowl 112 by a bracket made of stainless steel or engineering plastic to ensure its stability and durability in humid environments.

[0045] In this example, the image recognition component 120 can acquire local image information of the fabric in the bottom area of ​​the fabric processing drum 110 when it is stationary, thereby accurately obtaining the fabric information, improving the subsequent washing and dehydration quality of the fabric, and enhancing the user experience.

[0046] like Figure 1 As shown, in some embodiments, the amount of fabric in the fabric processing cylinder 110 is variable. When the cylinder is stationary, the fabric may almost fill the entire fabric processing cylinder 110 at its maximum, and at its minimum, it may only exist in a small area at the bottom of the fabric processing cylinder 110. Therefore, the center of the image of the image recognition component 120 should be aligned with the center of the bottom of the fabric processing cylinder 110, so that regardless of the amount of fabric in the fabric processing cylinder 110, there is a high probability that there is fabric within the field of view of the image recognition component 120 when the fabric processing cylinder 110 is stationary. When the fabric processing cylinder 110 rotates, the fabric may be thrown up and not at the bottom, and it is difficult to capture high-quality images when the fabric processing cylinder 110 is rotating, so the image is captured when it is stationary.

[0047] The image acquisition end of the image recognition component 120 is positioned diagonally downwards, with the shooting direction pointing towards the bottom area of ​​the fabric processing tube 110. This configuration allows the image recognition component 120 to better capture images of the fabric in the bottom area of ​​the fabric processing tube 110, thereby improving the accuracy of image recognition.

[0048] The tilt angle of the image acquisition end of the image recognition component 120 can be adjusted according to the size and shape of the fabric processing tube 110 to obtain the best image acquisition effect.

[0049] like Figure 1 As shown, in some embodiments, the image recognition component 120 is spaced at a predetermined distance from the glass bowl 112. This arrangement avoids direct contact between the image recognition component 120 and the glass bowl 112, thereby reducing the impact of vibration or temperature changes.

[0050] The preset distance can be adjusted according to actual needs; for example, the preset distance can be set to 5–50 mm. Setting the preset distance also facilitates the installation and maintenance of the image recognition component 120, and is also beneficial for heat dissipation.

[0051] On the other hand, by leaving a preset distance between the image recognition component 120 and the glass bowl 112, it can prevent the fabric from being pressed tightly against the inner wall of the glass bowl 112 inside the fabric processing tube 110. The preset distance can be greater than the closest focusing distance of the image recognition component 120, so that the image recognition component 120 (such as a camera) can be able to image normally, thereby ensuring the image quality of the image acquisition end of the image recognition component 120.

[0052] like Figure 1 As shown, in some embodiments, a collection plane 1121 is formed at the position of the glass bowl 112 near the bottom of the fabric processing tube 110, and the image recognition component 120 is opposite to the bottom area of ​​the fabric processing tube 110 through the collection plane 1121.

[0053] The acquisition plane 1121 can be a specially designed planar area on the glass bowl 112. For example, the acquisition plane 1121 can be set at the bend on the lower side of the glass bowl 112. In other words, a local planar area (i.e., the acquisition plane 1121) can be achieved without making significant shape modifications to the original curved glass bowl 112. The glass thickness in this acquisition plane 1121 area may differ from other parts to provide better optical performance. The area of ​​the acquisition plane 1121 can be designed according to the field of view of the image recognition component 120.

[0054] The surface of the acquisition plane 1121 can be specially treated, such as by coating, to reduce light reflection and scattering and improve image acquisition quality.

[0055] like Figure 1 As shown, in some embodiments, the illumination component 130 is used to provide an illumination source or an enhanced light source for the area captured by the image recognition component 120. That is, the illumination component 130 can provide the necessary illumination source or enhanced light source for the image information acquired by the image recognition component 120.

[0056] like Figure 1 As shown, in some embodiments, the lighting assembly 130 may include multiple lighting units, each of which can be independently controlled to switch on and off. This design allows the lighting mode to be adjusted according to different fabric types and colors to obtain the best image effect.

[0057] The lighting component 130 can use an LED light source, which has low energy consumption, long service life, and relatively low heat generation. The brightness of the lighting component 130 can be adjusted by a control circuit to adapt to different ambient light conditions.

[0058] like Figure 1 As shown, in some embodiments, the lighting unit includes a first lighting unit 131, which is disposed inside the glass bowl 112 and located diagonally above the image recognition component 120.

[0059] It should be noted that as long as the light from the first illumination unit 131, after being reflected by the acquisition plane 1121, does not incident on the image acquisition end of the image recognition component 120, it is acceptable.

[0060] In a specific example, the incident angle between the illumination end of the first illumination unit 131 and the acquisition plane 1121 is greater than or equal to 60°. It should be noted that this incident angle is an acute angle. Preferably, the above-mentioned incident angle can be 75°. Based on this, the light reflected by the acquisition plane 1121 from the light of the first illumination unit 131 will not enter the image recognition component 120, thereby affecting the imaging quality of the image recognition component 120.

[0061] This configuration allows the first illumination unit 131 to provide a light source that shines from above, reducing shadows and improving image clarity.

[0062] The first lighting unit 131 includes a first lighting lamp, which may be a high color rendering LED to ensure accurate capture of fabric colors. The power of the first lighting lamp can be designed according to actual needs.

[0063] like Figure 1 As shown, in some embodiments, the lighting unit further includes a second lighting unit 132, which is disposed inside the glass bowl 112 and located diagonally below the image recognition component 120. It should be noted that as long as the light from the second lighting unit 132 or the first lighting unit 131 is reflected by the acquisition plane 1121 and does not incident on the image acquisition end of the image recognition component 120, it is acceptable.

[0064] In a specific example, the incident angle between the illumination end of the second illumination unit 132 and the acquisition plane 1121 is greater than or equal to 60°. This incident angle is an acute angle. Preferably, the incident angle can be 75°. Based on this, the light reflected from the acquisition plane 1121 by the light from the second illumination unit 133 will not enter the image recognition component 120, thereby affecting the imaging quality of the image recognition component 120.

[0065] This configuration allows the second illumination unit 132 to provide a light source that illuminates from below, filling in any shadow areas and making the image more uniform.

[0066] The second lighting unit 132 includes a second lighting lamp, which may also be a high color rendering LED lamp, and its power may be the same as or slightly lower than that of the first lighting lamp.

[0067] In some embodiments, multiple high-power lamps can be installed inside the fabric processing cylinder 110 to illuminate the fabric. This strong light illumination ensures the imaging quality of the image recognition component 120, reduces noise in the image, and provides strong light illumination to local areas of the fabric. This reduces the light outside the fabric processing device 100, making the imaging light dominated by the strong light installed inside the fabric processing cylinder 110. Regardless of the lighting conditions in the room where the fabric processing device 100 is placed, the local lighting of the fabric being photographed is less affected, thus significantly improving the stability of the subsequent fabric classification algorithm.

[0068] It should be noted that in some embodiments, the lighting unit 130 may also include multiple lighting units, which may be evenly arranged around the image recognition component 120 or spaced apart, such as being arranged in the left or right or diagonal positions of the image recognition component 120.

[0069] like Figure 1 As shown, in some embodiments, the image acquisition end of the image recognition component 120 is provided with a light shield 121. The light shield 121 can prevent external light sources or the light source of the illumination component 130 from directly shining on the lens of the image recognition component 120, avoiding glare or ghosting, thereby improving image quality.

[0070] The lens hood 121 may be made of a matte black material to minimize light reflection. The length and shape of the lens hood 121 may be designed according to the lens characteristics and installation position of the image recognition component 120, and may generally be cylindrical or conical.

[0071] like Figure 1 As shown, in some embodiments, the image recognition component 120 includes at least a telephoto camera. The telephoto camera can acquire a clear image of the fabric while maintaining a certain distance, facilitating subsequent image analysis and recognition. The focal length of the telephoto camera can be selected based on the actual installation location and the size of the fabric processing tube 110. The resolution of the telephoto camera is preferably set to capture the detailed features of the fabric, for example, it can be set to 5 megapixels or higher.

[0072] like Figure 1 As shown, in some embodiments, the fabric processing apparatus further includes a processor 140, which is used to receive image information acquired by the image recognition component 120 to determine the fabric type of the fabric.

[0073] The processor 140 can employ a high-performance microprocessor with image processing and machine learning capabilities. The processor 140 can connect to the image recognition component 120 via wired or wireless means to receive image data. The processor 140 has a built-in fabric recognition algorithm that can analyze the texture, color, reflective properties, and other characteristics of the fabric to determine its type.

[0074] The processor 140 can also be connected to a cloud server to utilize more powerful computing resources and a more comprehensive database for fabric identification.

[0075] After determining the fabric type, the processor 140 can automatically set the most suitable washing program based on the characteristics of different fabrics, including parameters such as water temperature, spin speed, and washing time. This intelligent washing method can effectively protect fabrics, extend their lifespan, and improve washing results. The processor 140 can also record the user's washing habits and continuously optimize the washing program through machine learning, providing a more personalized service.

[0076] In actual use, the user places the fabric to be washed into the fabric handling drum 110 and closes the glass bowl 112. Before the washing program begins, the fabric handling drum 110 remains stationary, and the lighting component 130 is turned on to provide appropriate illumination for the image recognition component 120. The image recognition component 120 acquires image information of the fabric in the bottom area of ​​the fabric handling drum 110 through the acquisition plane 1121 and transmits the image information to the processor 140. The processor 140 analyzes the image information, determines the fabric type, and then automatically sets the most suitable washing program based on the fabric type. After the washing program is set, the fabric handling drum 110 begins to rotate and perform the washing operation to effectively improve the washing quality of the fabric.

[0077] It should be noted that after the above-mentioned fabric washing is completed, the fabric treatment drum 110 can also be used to complete the dehydration operation of the identified fabric to ensure the dehydration quality of the subsequent fabrics.

[0078] Example 2

[0079] Based on Embodiment 1, in this embodiment, the image acquisition end of the image recognition component 120 of the fabric processing device 100 is arranged in a downward direction, and the shooting direction is directed towards the bottom area of ​​the fabric processing cylinder 110.

[0080] The tilt angle of the image acquisition end can be set to 30–60 degrees. This angle range allows the image recognition component 120 to better capture images of the fabric in the bottom area of ​​the fabric processing tube 110. The image recognition component 120 can be fixed by an adjustable bracket, allowing its angle to be adjusted according to different models of fabric processing tubes 110 to obtain the best image acquisition effect.

[0081] The image recognition component 120 can employ a high-resolution camera to ensure the capture of subtle textures and color differences in the fabric. The camera lens can be made of high-quality optical glass to provide excellent optical performance and reduce distortion and chromatic aberration. The camera can also be equipped with autofocus to adapt to shooting needs at different distances.

[0082] The installation position of the image recognition component 120 can be determined by a precision positioning device to ensure that its field of view exactly covers the bottom area of ​​the fabric processing tube 110. During installation, a laser positioning aid can be used to ensure that the optical axis of the image recognition component 120 is aligned with the center of the bottom area of ​​the fabric processing tube 110.

[0083] Example 3

[0084] Based on Embodiment 1, in this embodiment, the image recognition component 120 of the fabric processing device 100 is spaced at a preset distance from the glass bowl 112. The preset distance only needs to be greater than the closest focusing distance of the image acquisition end of the image recognition component 120. For example, the preset distance can be set to 10-40 mm. This distance ensures that the image recognition component 120 does not directly contact the glass bowl 112, but is also not too far away to affect the image acquisition effect.

[0085] The gap between the image recognition component 120 and the glass bowl 112 can be achieved using a specially designed bracket, which can be made of an elastic material to absorb vibrations that may be transmitted to the image recognition component 120. Furthermore, heat dissipation holes or heat sinks can be provided on the bracket to ensure that the image recognition component 120 does not overheat during prolonged operation.

[0086] The preset interval setting also facilitates cleaning and maintenance. When the glass bowl 112 needs cleaning, it is not necessary to disassemble the image recognition component 120; only the surface of the glass bowl 112 needs to be cleaned. Similarly, when the image recognition component 120 needs maintenance or replacement, it can be operated independently without affecting the installation status of the glass bowl 112.

[0087] Example 4

[0088] Based on Embodiment 1, in this embodiment, a sensing plane 1121 is formed in the glass bowl 112 of the fabric processing device 100 near the bottom of the fabric processing cylinder 110. The image recognition component 120 is opposite to the bottom area of ​​the fabric processing cylinder 110 through the sensing plane 1121. The area of ​​the sensing plane 1121 can be adaptively adjusted according to the specifications of the fabric processing cylinder 110, preferably to sufficiently cover the field of view of the image recognition component 120.

[0089] The acquisition plane 1121 can be made of special optical glass with high light transmittance and low reflectance, which can minimize light loss and interference. The surface of the acquisition plane 1121 can also be treated with an anti-reflective coating to further improve light transmittance and reduce reflection and scattering.

[0090] The position of the acquisition plane 1121 can be determined through precise calculation to ensure that the image recognition component 120 can acquire the best image through this plane. The thickness of the acquisition plane 1121 can be different from other parts of the glass bowl 112 to provide better optical performance; for example, the thickness of the acquisition plane 1121 can be set to 3 to 5 millimeters.

[0091] Example 5

[0092] Based on Embodiment 1, the fabric processing device 100 in this embodiment further includes an illumination component 130. The illumination component 130 is used to provide illumination light or enhance the light source for the area captured by the image recognition component 120, that is, to provide illumination light source for the image information collected by the image recognition component 120. The illumination component 130 can use a high color rendering LED light source with a color rendering index of 90 or higher to ensure accurate capture of fabric colors.

[0093] The power of the lighting component 130 can be designed according to actual needs. The color temperature of the lighting component 130 can be set to 5000-6500K, close to the color temperature of natural light, to obtain the most realistic fabric color. The lighting component 130 can also be equipped with a diffuser or diffuser panel to make the light more uniform and reduce strong shadows and highlights.

[0094] The control circuit of the lighting component 130 can be connected to the processor 140. Through the corresponding control instructions of the processor 140, the lighting component 130 can be turned on and off, thereby cooperating with the image recognition component 120 to complete the acquisition of the image of the fabric.

[0095] Example 6

[0096] Based on Embodiment 5, the lighting assembly 130 of the fabric processing device 100 in this embodiment includes multiple lighting units, each of which can be independently controlled to switch on and off. The number of lighting units can be set to 3-6, distributed around the image recognition assembly 120 to provide omnidirectional lighting.

[0097] Each lighting unit can be equipped with an independent control circuit, which can be independently controlled by a microcontroller. The microcontroller can control the on / off state and brightness of each lighting unit according to the instructions of the processor 140. The control circuit can use pulse width modulation technology to achieve brightness adjustment of each lighting unit between 0% and 100%.

[0098] The light source of the lighting unit can use LEDs with a fixed color temperature to avoid interfering with the acquisition of fabric information. For example, the color temperature of the light source of the lighting unit can be set to approximately 6000K.

[0099] Example 7

[0100] Based on Embodiment Six, the lighting unit of the fabric processing device 100 in this embodiment includes a first lighting unit 131. The first lighting unit 131 is disposed inside the glass bowl 112 and is located obliquely above the image recognition component 120. The acute angle between the illumination end of the first lighting unit 131 and the acquisition plane 1121 is 75°.

[0101] The first lighting unit 131 includes a first lighting lamp, which can be a high color rendering LED. The color temperature of the first lighting lamp can be set to 5500K, close to the color temperature of natural light, to obtain the most realistic fabric color. The first lighting lamp is equipped with a condenser lens, which can focus the light onto the bottom area of ​​the fabric treatment cylinder 110, improving lighting efficiency.

[0102] The mounting bracket of the first lighting unit 131 features an adjustable design, allowing for adjustment of the lighting angle and position as needed. The bracket is made of high-temperature resistant engineering plastic, ensuring it will not deform due to heat even during prolonged operation. The first lighting unit 131 can also be equipped with a heat sink to ensure the LED light does not overheat during extended operation.

[0103] Example 8

[0104] Based on Embodiment Six, the lighting unit of the fabric processing device 100 in this embodiment further includes a second lighting unit 132. The second lighting unit 132 is disposed inside the glass bowl 112 and located obliquely below the image recognition component 120. The acute angle between the illumination end of the second lighting unit 132 and the acquisition plane 1121 is 75°.

[0105] The second lighting unit 132 includes a second lamp, which also uses a high color rendering LED, slightly lower than the first lamp. The color temperature of the second lamp can also be set to 5500K, consistent with the first lamp, to ensure uniform color temperature of the lighting source. The second lamp is also equipped with a condenser lens, but its beam angle may differ from that of the first lamp to provide better supplementary lighting.

[0106] The mounting bracket for the second lighting unit 132 can be adjustable, allowing for adjustments to the lighting angle and position as needed. The bracket material and heat dissipation design are the same as those for the first lighting unit 131 to ensure system consistency and reliability.

[0107] Example 9

[0108] Based on Embodiment 1, the image acquisition end of the image recognition component 120 of the fabric processing device 100 in this embodiment is provided with a light shield 121. The light shield 121 is used to prevent light from the external environment from directly entering the image recognition component 120. The light shield 121 is made of black matte material, is 30 mm long, and is cylindrical in shape, with its inner diameter matching the outer diameter of the lens of the image recognition component 120.

[0109] The inner wall of the light shield 121 is treated with a special light-absorbing material, which can absorb more than 99% of the incident light, effectively preventing internal reflection and scattering. The outer wall of the light shield 121 is also matte-finished to reduce the reflection of external light. The front end of the light shield 121 can be designed with a slightly enlarged shape to increase the blocking effect on side incident light.

[0110] The image recognition component 120 includes at least a telephoto camera. The telephoto camera may employ a high-quality optical lens, which offers excellent image quality and low distortion characteristics. The telephoto camera may also be equipped with an autofocus function, automatically adjusting the focus based on the distance to the fabric to ensure a clear image.

[0111] Example 10

[0112] Based on Embodiment 1, the fabric processing device 100 in this embodiment further includes a processor 140. The processor 140 is used to receive image information collected by the image recognition component 120 to determine the fabric type. The processor 140 adopts a high-performance ARM architecture microprocessor with a main frequency of 1.5GHz, and has 4GB of RAM and 32GB of storage space.

[0113] The processor 140 incorporates a fabric recognition algorithm based on deep learning technology. This algorithm uses convolutional neural networks to analyze the texture, color, and reflective properties of fabrics to determine their type. The algorithm boasts an accuracy rate of over 95% and can identify common fabrics such as cotton, linen, silk, wool, polyester, and nylon, as well as blends of these materials.

[0114] The processor 140 is also equipped with a wireless communication module that can connect to a cloud server to utilize more powerful computing resources and a more comprehensive database for fabric identification. The database on the cloud server contains feature data of tens of thousands of fabric samples and can be continuously updated and expanded to accommodate newly emerging fabric types.

[0115] The processor 140 has self-learning capabilities, allowing it to continuously optimize the recognition algorithm based on user feedback. For example, when a user manually corrects the recognition result, the system records these corrections and uses them as training data to improve future recognition accuracy. The processor 140 can also automatically set the most suitable washing program based on the recognition results, including parameters such as water temperature, spin speed, and washing time, achieving an intelligent washing process.

[0116] It should be noted that Examples 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 are all types of fabric processing equipment.

[0117] The serial numbers in the embodiments of this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0118] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0120] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A fabric processing device, characterized in that, include: A fabric treatment tube (110) is used to hold fabrics to be washed. The fabric treatment tube (110) has an opening (111) which is closed by a glass bowl (112). An image recognition component (120) is installed inside the glass bowl (112). The image acquisition end of the image recognition component (120) faces the bottom area of ​​the fabric processing tube (110) and is used at least to acquire image information of the fabric in the bottom area of ​​the fabric processing tube (110) when it is in a static state.

2. The fabric processing equipment according to claim 1, characterized in that, The image acquisition end of the image recognition component (120) is set in a downward direction, and the shooting direction is directed towards the bottom area of ​​the fabric processing tube (110).

3. The fabric processing equipment according to claim 1, characterized in that, The image recognition component (120) is spaced at a preset distance from the glass bowl (112).

4. The fabric processing equipment according to claim 1, characterized in that, A collection plane (1121) is formed at the position of the glass bowl (112) near the bottom of the fabric processing tube (110), and the image recognition component (120) is opposite to the bottom area of ​​the fabric processing tube (110) through the collection plane (1121).

5. The fabric processing equipment according to any one of claims 1-4, characterized in that, The fabric processing device (100) also includes an illumination component (130) for providing an illumination source or an enhancement source for the area captured by the image recognition component (120).

6. The fabric processing equipment according to claim 5, characterized in that, The lighting assembly (130) includes multiple lighting units, each of which can be independently controlled to switch on and off.

7. The fabric processing equipment according to claim 6, characterized in that, The lighting unit includes a first lighting unit (131), which is disposed inside the glass bowl (112) and located diagonally above the image recognition component (120); The first lighting unit includes a first lighting lamp.

8. The fabric processing equipment according to claim 6, characterized in that, The lighting unit further includes a second lighting unit (132), which is disposed inside the glass bowl (112) and located diagonally below the image recognition component (120); The second lighting unit (132) includes a second lighting lamp.

9. The fabric processing apparatus according to any one of claims 1 to 4, characterized in that, The image acquisition end of the image recognition component (120) is provided with a light shield (121); as well as, The image recognition component (120) includes at least a telephoto camera.

10. The fabric processing apparatus according to any one of claims 1 to 4, characterized in that, The fabric processing device further includes a processor (140) for receiving image information acquired by the image recognition component (120) to determine the fabric type of the fabric.

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