Multifunctional male boxer shorts and manufacturing method thereof

Abstract

The invention relates to the technical field of clothing, in particular to multifunctional male boxer shorts which are formed by sewing a waist, trouser leg bodies, private parts, trouser leg inner side areas, a shorts body and bridles. The multifunctional male boxer shorts are integrally made of modal, bamboo fiber and Coolmax fiber materials. Wherein the private part and the inner side areas of the trouser legs adopt mesh structures; wherein the whole multifunctional male boxer shorts are made of spandex blended fabric, and an elastic band is arranged in the waist and the bridle in a penetrating mode; an antibacterial agent and antibacterial fibers are added into the fabric of the multifunctional male boxer briefs. According to the underpants manufacturing method, quality detection can be carried out on the content of the finished product, the quality detection precision of the underpants can be greatly improved by matching image data acquisition with the quality detection model, and compared with a traditional manual quality detection mode, the method is more accurate and efficient.

Description

Technical Field

[0001] The invention relates to the technical field of clothing, in particular to a multifunctional men's boxer briefs and a manufacturing method thereof. Background Art

[0002] With the improvement of people's living standards and health awareness, men's understanding of underwear is no longer just to cover the body, but also put forward new requirements for health, comfort and beauty. Especially when exercising, users have a greater demand for breathability of underwear. Traditional underwear has poor breathability. At the same time, during the production process of underwear, the finished product content needs to be sampled to ensure the quality of underwear produced in the same batch. The traditional sampling method is manual observation with the naked eye. It is difficult to observe subtle defects on the surface of underwear with the naked eye, thus affecting product quality.

[0003] For this reason, a kind of multifunctional men's boxer briefs and its manufacturing method are proposed. Summary of the invention

[0004] The object of the present invention is to provide a multifunctional men's boxer briefs and a manufacturing method thereof to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a multifunctional men's boxer briefs, comprising a waist, a trouser leg body, a private part, an inner area of ​​the trouser leg, a main body of the briefs and a drawstring sewn together;

[0006] The multifunctional men's boxer briefs are made of modal, bamboo fiber and Coolmax fiber.

[0007] The private parts and inner areas of the trouser legs are made of mesh structure;

[0008] The multifunctional men's boxer briefs are made of spandex blended fabric, with elastic bands running through the waist and the drawstrings;

[0009] Antibacterial agent and antibacterial fiber are added to the fabric of the multifunctional men's boxer briefs.

[0010] A method for manufacturing multifunctional men's boxer briefs comprises the following steps:

[0011] S1. Material selection: Choose fiber materials with high moisture absorption, breathability, antibacterial properties, warmth retention and high elasticity;

[0012] S2. Fabric cutting: According to the designed pattern drawing, cut the fabric into the required parts, including waist, trouser leg body, private parts, inner area of ​​trouser leg, underwear body and drawstring;

[0013] S3. Sewing and assembling: Sewing the waist, the main body of the trouser legs, the private parts, the inner area of ​​the trouser legs, the main body of the underwear and the drawstring in sequence to form the basic shape of the underwear, sewing a mesh structure in the private parts and the inner area of ​​the trouser legs of the underwear, then adding an antibacterial agent to the fabric or using antibacterial fibers, and installing a high elastic loose belt on the waist and legs;

[0014] S4. Quality inspection: Conduct quality inspection on the sewn underwear, including appearance inspection, size inspection and functional inspection to ensure that the product meets the design requirements.

[0015] Preferably, the S4. quality inspection step includes establishing a quality inspection model, and inspecting the quality of finished underwear, wherein the inspection includes a graphic data acquisition module, an image preprocessing unit, building an image recognition model, a defect detection module and an output unit.

[0016] Preferably, the graphic data acquisition module includes image acquisition, image acquisition, multi-angle, high-resolution image acquisition of finished boxer briefs on the production line, and data annotation, annotation of the acquired images to mark various quality defects, including damage, stains, and incomplete stitching.

[0017] Preferably, the image preprocessing unit includes image enhancement: adjusting the brightness and contrast enhancement of the image, using a filter to remove noise,

[0018] Image cropping: crop the image into a uniform size and input it into the image recognition model. Data normalization: normalize the image data to improve the training effect of the model.

[0019] Preferably, the image recognition model is constructed: the model architecture is selected: a convolutional neural network is selected as the image recognition model architecture, and model design and parameter setting are performed; model training: the model is trained using a labeled image data set, and hyperparameters are adjusted to improve the accuracy of the model; model evaluation: the model is evaluated using a validation data set, and accuracy, recall, and F1 value indicators are calculated.

[0020] Preferably, the image recognition model in the image recognition model is a convolutional neural network (CNN), and the specific steps are as follows:

[0021] Image preprocessing:

[0022] I′=normalize(crop(enhance(I)))

[0023] Among them, I is the original image, enhance is the image enhancement function, crop is the image cropping function, normalize is the normalization function, and I′ is the preprocessed image;

[0024] Convolutional layer calculation:

[0025]

[0026] in, is the feature map after the l-th layer of convolution, is the lllth layer convolution kernel, is the input image of the l-1th layer, b l is the bias, σ is the activation function;

[0027] Pooling layer calculation:

[0028]

[0029] in, is the feature map after pooling at the lth layer, and max is the maximum pooling operation;

[0030] Fully connected layer calculation:

[0031] y=σ(W·flatten(P L )+b)

[0032] Among them, y is the output result, W is the weight matrix, flatten is the flattening operation, P L is the last layer of pooled feature map, b is the bias, and σ is the activation function;

[0033] Loss function:

[0034]

[0035] Among them, L is the loss function, y i is the actual label, is the predicted probability;

[0036] Optimization algorithm:

[0037]

[0038] Among them, θ is the model parameter, η is the learning rate, is the gradient of the loss function with respect to the parameters.

[0039] Preferably, the underwear quality detection steps are as follows:

[0040] A1. Image acquisition: The finished boxer briefs on the production line pass through the quality inspection station and undergo real-time image acquisition;

[0041] A2. Image preprocessing: Preprocess the collected images to ensure that the images meet the model input requirements;

[0042] A3. Defect detection: Input the image into the trained image recognition model to detect whether there are quality defects;

[0043] A4. Result output: Output quality inspection report based on the inspection results of the model, including defect type, location and severity;

[0044] A5. Processing feedback: Based on the test results, products with quality problems are processed, and qualified products enter the next stage.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] 1. High moisture absorption and breathability, keep you dry and comfortable.

[0047] 2. Antibacterial property, inhibits bacterial growth, keeps fresh and hygienic.

[0048] 3. Warmth retention, suitable for wearing in cold environment.

[0049] 4. High elasticity and comfort, providing good fit and freedom of movement.

[0050] 5. Suitable for a variety of scenarios, such as sports, leisure and work, etc.

[0051] 6. The underwear manufacturing method designed in this application can perform quality inspection on the content of the finished product. The image data collection and quality inspection model can greatly improve the accuracy of underwear quality inspection, which is more accurate and efficient than traditional manual quality inspection methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A structural view of the multifunctional male boxer briefs of the present invention;

[0054] Figure 2 A flow chart of a method for manufacturing multifunctional men's boxer briefs of the present invention;

[0055] Figure 3 It is a block diagram of the quality detection system of the present invention.

[0056] Description of reference numerals:

[0057] 1. Waist; 2. Main body of trouser leg; 3. Private parts; 4. Inside area of ​​trouser leg; 5. Main body of underwear; 6. Drawstring. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] See also Figures 1 to 3 , the present invention provides a technical solution:

[0060] A multifunctional male boxer briefs, comprising a waist 1, a trouser leg body 2, a private area 3, an inner area of ​​the trouser leg 4, a briefs body 5 and a belt 6, which are sewn together;

[0061] The multifunctional men's boxer briefs are made of modal, bamboo fiber and Coolmax fiber.

[0062] The private area 3 and the inner area of ​​the trouser legs 4 are made of mesh structure;

[0063] The multifunctional male boxer briefs are made of spandex blended fabric, and elastic bands are arranged through the waist 1 and the belt 6;

[0064] Antibacterial agent and antibacterial fiber are added to the fabric of the multifunctional men's boxer briefs.

[0065] A method for manufacturing multifunctional men's boxer briefs comprises the following steps:

[0066] S1. Material selection: Choose fiber materials with high moisture absorption, breathability, antibacterial properties, warmth retention and high elasticity;

[0067] S2. Fabric cutting: According to the designed pattern drawing, the fabric is cut into the required parts, including the waist 1, the trouser leg body 2, the private part 3, the inner area of ​​the trouser leg 4, the underwear body 5 and the belt 6;

[0068] S3. Sewing and assembling: Sewing the waist 1, the trouser leg body 2, the private part 3, the inner area of ​​the trouser leg 4, the underwear body 5 and the belt 6 in sequence to form the basic shape of the underwear, sewing a mesh structure at the private part 3 and the inner area 4 of the trouser leg, then adding an antibacterial agent to the fabric or using antibacterial fiber, and installing a high elastic loose belt at the waist 1 and the leg;

[0069] S4. Quality inspection: Conduct quality inspection on the sewn underwear, including appearance inspection, size inspection and functional inspection to ensure that the product meets the design requirements.

[0070] Specifically, the S4. quality inspection step includes establishing a quality inspection model, and inspecting the quality of finished underwear. The inspection includes a graphic data acquisition module, an image preprocessing unit, building an image recognition model, a defect detection module and an output unit.

[0071] Specifically, the graphic data acquisition module includes image acquisition, which performs multi-angle, high-resolution image acquisition of finished boxer briefs on the production line, and data annotation, which annotates the acquired images to mark various quality defects, including damage, stains, and incomplete stitching.

[0072] Specifically, the image preprocessing unit includes image enhancement: adjusting the brightness and contrast of the image, using a filter to remove noise,

[0073] Image cropping: crop the image into a uniform size and input it into the image recognition model. Data normalization: normalize the image data to improve the training effect of the model.

[0074] Specifically, the image recognition model is constructed as follows: selecting a model architecture: selecting a convolutional neural network as the image recognition model architecture, and performing model design and parameter setting; model training: using a labeled image dataset to train the model, adjusting hyperparameters to improve the accuracy of the model; model evaluation: using a validation dataset to evaluate the model, and calculating accuracy, recall, and F1 value indicators.

[0075] Specifically, the image recognition model in the image recognition model is a convolutional neural network (CNN), and the specific steps are as follows:

[0076] Image preprocessing:

[0077] I′=normalize(crop(enhance(I)))

[0078] Among them, I is the original image, enhance is the image enhancement function, crop is the image cropping function, normalize is the normalization function, and I′ is the preprocessed image;

[0079] Convolutional layer calculation:

[0080]

[0081] in, is the feature map after the l-th layer of convolution, is the lllth layer convolution kernel, is the input image of the l-1th layer, b l is the bias, σ is the activation function;

[0082] Pooling layer calculation:

[0083]

[0084] in, is the feature map after pooling at the lth layer, and max is the maximum pooling operation;

[0085] Fully connected layer calculation:

[0086] y=σ(W·flatten(P L )+b)

[0087] Among them, y is the output result, W is the weight matrix, flatten is the flattening operation, P L is the last layer of pooled feature map, b is the bias, and σ is the activation function;

[0088] Loss function:

[0089]

[0090] Among them, L is the loss function, y i is the actual label, is the predicted probability;

[0091] Optimization algorithm:

[0092]

[0093] Among them, θ is the model parameter, η is the learning rate, is the gradient of the loss function with respect to the parameters.

[0094] Specifically, the underwear quality inspection steps are as follows:

[0095] A1. Image acquisition: The finished boxer briefs on the production line pass through the quality inspection station and undergo real-time image acquisition;

[0096] A2. Image preprocessing: Preprocess the collected images to ensure that the images meet the model input requirements;

[0097] A3. Defect detection: Input the image into the trained image recognition model to detect whether there are quality defects;

[0098] A4. Result output: Output quality inspection report based on the inspection results of the model, including defect type, location and severity;

[0099] A5. Processing feedback: Based on the test results, products with quality problems are processed, and qualified products enter the next stage.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multifunctional men's boxer briefs, characterized by: The invention comprises a waist part (1), a trouser leg body (2), a private part (3), an inner area of ​​the trouser leg (4), a pant body (5) and a drawstring (6) which are sewn together; The multifunctional men's boxer briefs are made of modal, bamboo fiber and Coolmax fiber. The private area (3) and the inner area of ​​the trouser legs (4) are made of mesh structure; The multifunctional men's boxer briefs are made of a spandex blended fabric, and an elastic band is arranged through the waist (1) and the drawstring (6); Antibacterial agent and antibacterial fiber are added to the fabric of the multifunctional men's boxer briefs.

2. The method for manufacturing multifunctional men's boxer briefs according to claim 1, characterized in that: The steps include: S1. Material selection: Choose fiber materials with high moisture absorption, breathability, antibacterial properties, warmth retention and high elasticity; S2. Fabric cutting: According to the designed pattern drawing, the fabric is cut into the required parts, including the waist (1), the trouser leg body (2), the private part (3), the inner area of ​​the trouser leg (4), the underwear body (5) and the belt (6); S3. Sewing and assembling: Sewing the waist (1), the trouser leg body (2), the private part (3), the inner area of ​​the trouser leg (4), the underwear body (5) and the drawstring (6) in sequence to form the basic shape of the underwear, sewing a mesh structure in the private part (3) and the inner area of ​​the trouser leg (4), then adding an antibacterial agent to the fabric or using antibacterial fibers, and installing a high elastic loose belt at the waist (1) and the legs; S4. Quality inspection: Conduct quality inspection on the sewn underwear, including appearance inspection, size inspection and functional inspection to ensure that the product meets the design requirements.

3. The method for manufacturing multifunctional men's boxer briefs according to claim 2, characterized in that: The S4. quality inspection step includes establishing a quality inspection model, and inspecting the quality of finished underwear. The inspection includes a graphic data acquisition module, an image preprocessing unit, building an image recognition model, a defect detection module and an output unit.

4. The method for manufacturing multifunctional male boxer briefs according to claim 1, characterized in that: The graphic data acquisition module includes image acquisition, which performs multi-angle and high-resolution image acquisition of the finished boxer briefs on the production line, and data annotation, which annotates the acquired images and marks various quality defects, including damage, stains, and incomplete stitching.

5. The method for manufacturing multifunctional men's boxer briefs according to claim 1, characterized in that: The image preprocessing unit includes image enhancement: adjusting the brightness and contrast enhancement of the image, using a filter to remove noise, Image cropping: crop the image into a uniform size and input it into the image recognition model. Data normalization: normalize the image data to improve the training effect of the model.

6. The method for manufacturing multifunctional men's boxer briefs according to claim 1, characterized in that: The image recognition model is constructed as follows: selecting a model architecture: selecting a convolutional neural network as the image recognition model architecture, and performing model design and parameter setting; model training: using a labeled image dataset to train the model, adjusting hyperparameters to improve the accuracy of the model; model evaluation: using a validation dataset to evaluate the model, and calculating accuracy, recall, and F1 value indicators.

7. The method for manufacturing multifunctional male boxer briefs according to claim 1, characterized in that: The image recognition model in the image recognition model is a convolutional neural network (CNN), and the specific steps are as follows: Image preprocessing: I′=normalize(crop(enhance(I))) Among them, I is the original image, enhance is the image enhancement function, crop is the image cropping function, normalize is the normalization function, and I′ is the preprocessed image; Convolutional layer calculation: in, is the feature map after the l-th layer of convolution, is the lllth layer convolution kernel, is the input image of the l-1th layer, b l is the bias, σ is the activation function; Pooling layer calculation: in, is the feature map after pooling at the lth layer, and max is the maximum pooling operation; Fully connected layer calculation: y=σ(W·flatten(P L )+b) Among them, y is the output result, W is the weight matrix, flatten is the flattening operation, P L is the last layer of pooled feature map, b is the bias, and σ is the activation function; Loss function: Among them, L is the loss function, y i is the actual label, is the predicted probability; Optimization algorithm: θ←θ-η▽ θ L Among them, θ is the model parameter, η is the learning rate, ▽ θ L is the gradient of the loss function with respect to the parameters.

8. The method for manufacturing multifunctional men's boxer briefs according to claim 1, characterized in that: The underwear quality detection steps are as follows: A1. Image acquisition: The finished boxer briefs on the production line pass through the quality inspection station and undergo real-time image acquisition; A2. Image preprocessing: Preprocess the collected images to ensure that the images meet the model input requirements; A3. Defect detection: Input the image into the trained image recognition model to detect whether there are quality defects; A4. Result output: Output quality inspection report based on the inspection results of the model, including defect type, location and severity; A5. Processing feedback: Based on the test results, products with quality problems are processed, and qualified products enter the next stage.

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