A garment enterprise-oriented pattern design interactive practical training and demonstration system and method

Abstract

The application discloses a garment enterprise-oriented pattern design interactive practical training and demonstration system and method, and the system comprises a physical practical training workbench, a coaxial calibration image acquisition and projection feedback unit, a practical training case database and a central processing terminal. The application collects hand-drawn line features of a trainee (such as a junior pattern maker) in real time, and compares the hand-drawn line features with standard process models in the database; when an operation deviation is monitored, the system directly calls preset three-dimensional defect images, and in-situ displays garment consequences caused by the error through projection. The system has the functions of path transfer demonstration, part splicing verification demonstration and standardized operation guidance, effectively solves the problems of long training period of new employees of an enterprise and lack of imagination in two-dimensional to three-dimensional space, and realizes the skill training effect of 'what is drawn is what is obtained' through a low-cost augmented reality means.

Description

Technical Field

[0001] This invention relates to the technical field of clothing demonstration, and in particular to an interactive training and demonstration system and method for pattern design for clothing enterprises. Background Technology

[0002] In the production and management system of apparel companies, skills training for new employees (especially junior pattern makers) is a crucial link in improving team effectiveness. Garment structural design (pattern making), as a core skill, presents a challenge in cultivating employees' spatial imagination from two-dimensional paper patterns to three-dimensional finished garments. Existing training models mainly suffer from the following problems: Trial and error is costly and feedback is delayed: After junior pattern makers draw lines on paper, they often need to consume fabric and cut and sew it into a blank sample garment before they can discover structural errors (such as unclosed darts or unreasonable ease). This "physical trial and error" process is time-consuming and costly in terms of materials, making it difficult to achieve low-cost, immediate feedback.

[0003] Lack of demonstration tools and cognitive gaps: When senior pattern makers guide apprentices, they lack intuitive demonstration tools and find it difficult to show trainees the specific impact of "this stroke being drawn crookedly" on the final garment's armpits, neckline, and other parts (such as wrinkling or tightness).

[0004] Skill standardization is difficult: Although 3D virtual try-on software (such as CLO3D) has emerged in the market, its operation is complex and detached from the actual manual drafting work environment in enterprises. Enterprises lack an auxiliary device that can be deployed on a large scale in employee training centers to standardize and guide manual pattern making skills.

[0005] Therefore, there is an urgent need for an interactive training and demonstration system that can both retain the traditional hand-drawing experience and provide real-time 3D visual feedback at low cost, so as to shorten the talent training cycle for enterprises. Summary of the Invention

[0006] To address the aforementioned technical problems in the existing technology, this invention proposes an interactive training and demonstration system and method for pattern design in the apparel industry, thereby resolving these technical issues.

[0007] According to a first aspect of the present invention, an interactive training and demonstration system for pattern design for apparel companies is proposed, comprising: The physics training workbench is used to place drawing paper. An image acquisition unit and a projection feedback unit are set on top of it. The optical axes of the image acquisition unit and the projection feedback unit are pre-calibrated to coincide. The training case database pre-stores a standard plate geometric model library and a defect association mapping table; the defect association mapping table contains key-value pairs of multiple feature deviation thresholds and pre-rendered 3D defect images; The central processing terminal is communicatively connected to the image acquisition unit, the projection feedback unit, and the training case database, and is configured to perform the following steps: The system receives real-time drawing images captured by the image acquisition unit and extracts vector features of hand-drawn lines through an edge detection algorithm. The vector features include line segment length, curvature, and key point coordinates. The extracted hand-drawn vector features are compared with the standard plate geometric models in the database, and the deviation value is calculated. When the deviation value falls within the preset feature deviation threshold range, the retrieval mechanism is triggered. Based on the triggered threshold range, the corresponding pre-rendered 3D defect image is retrieved from the defect association mapping table; The driving projection feedback unit transforms the pre-rendered 3D defect image through perspective and then accurately projects it onto the corresponding area of ​​the physical drawing paper, visually demonstrating the consequences of drawing deviations on the garment's appearance.

[0008] In some specific embodiments, the pre-rendered 3D defect images stored in the training case database include: a tension distribution demonstration layer, which uses color gradients to represent fabric tension, where red areas represent tautness and blue areas represent accumulation; a virtual sample garment demonstration layer, which contains partial appearance images of a virtual garment with light and shadow rendering effects to show the fold shape; and a central processing terminal that supports switching between displaying the tension distribution demonstration layer and the virtual sample garment demonstration layer in the screen output by the projection feedback unit via user gesture commands.

[0009] In some specific embodiments, the system is also equipped with a provincial road transfer principle demonstration module. When the image acquisition unit detects the physical rotation of the paper with the BP point of the board as the center, the system calculates the rotation angle. The system queries the database according to the rotation angle and calls the pre-stored provincial road shape data under the corresponding opening. The projection feedback unit projects two dynamic auxiliary lines on the physical paper surface: one is the extension line of the current actual provincial road line, and the other is the target position line in the standard closed state. When the two lines do not coincide, a flashing light spot indicates the closure error.

[0010] In some specific embodiments, the system is also configured with a component assembly verification module. The component assembly verification module is used to extract the arc length data of the edges to be stitched on the two independent plates when the image acquisition unit detects two independent plates at the same time. The system calculates the difference between the two arc lengths and compares the difference with the reasonable yield range pre-stored in the database. If the difference exceeds the range, the system drives the projection feedback unit to project complementary color sawtooth light patterns at the stitching edges of the two plates. The density of the light patterns is proportional to the absolute value of the difference.

[0011] In some specific embodiments, the central processing terminal also includes a correction guidance module: after the system retrieves and projects a pre-rendered 3D defect image, a preset time is delayed; if the image acquisition unit detects that the hand-drawn lines have not changed, the projection feedback unit will superimpose a standard correction trajectory dotted line while maintaining the defect image projection. The correction trajectory dotted line has a dynamically flowing directional arrow to guide the correct drawing pen direction.

[0012] In some specific embodiments, the surface of the physical training workbench is provided with an infrared touch frame or gesture recognition area: the user sends a fabric parameter switching command to the central processing terminal by clicking a specific projection icon on the physical desktop; the system responds to the command and switches the pre-rendered 3D defect image from the stiff fabric library to the draped fabric library, changing the density of the projected fold texture and the depth of the shadow.

[0013] In some specific embodiments, the system also includes a physical pattern recognition and calibration module. The physical training workbench is equipped with magnetic positioning stickers of various colors. The magnetic positioning stickers of different colors correspond to the geometric models of standard pattern pieces of different sizes in the training case database. The central processing terminal identifies the color information of the magnetic positioning stickers through the image acquisition unit, automatically loads the standard geometric model of the corresponding size from the training case database as a comparison benchmark, and projects the outline of the virtual mannequin corresponding to the size as a background reference in the projection feedback unit.

[0014] In some specific embodiments, the projection feedback unit is equipped with an ambient light adaptive adjustment function, and the image acquisition unit is also used to detect the ambient light illuminance on the surface of the physical drawing paper. When the ambient light illuminance is higher than a preset threshold, the central processing terminal controls the projection feedback unit to automatically reverse the color mode of the projected image, switch the background color of the pre-rendered three-dimensional defect image from transparent to a high-contrast complementary color, and enhance the edge sharpness of the projected lines.

[0015] According to a second aspect of the present invention, an interactive training and demonstration method for pattern design for apparel companies using the system described above is proposed, comprising: S1: The system identifies the four corner markers of the paper placed on the workbench and establishes a mapping matrix between the physical paper coordinate system and the projected image coordinate system; S2: Real-time tracking of the pen tip trajectory, using Hough transform to identify line types, classifying them as contour lines, structural lines or auxiliary lines, and extracting their vector features; S3: Input the classified line data into the central processing terminal to determine whether it violates the preset clothing structure drawing rules; S4: If a violation is detected, directly read the pre-processed image data bound to the violation type from the database, instead of performing real-time physical simulation calculations; and S5: Project the read image data onto paper to provide an instant visual demonstration of the consequences of incorrect drawing.

[0016] In some specific embodiments, for the dart transfer scenario: In step S3, when the paper pattern is detected to rotate around the BP point as the axis, the system retrieves the standard dart closure data according to the rotation angle and determines whether the current hand-drawn dart extension line coincides with the standard target position line; if they do not coincide, a flashing light spot is projected in step S5 to demonstrate the closure error; For the component assembly scenario: In step S3, when the sleeve piece and the body piece coexist, the system calculates the length difference between the sleeve cap arc and the armhole arc; if the difference exceeds the reasonable ease range pre-stored in the database, a sawtooth light pattern is projected at the seam edge in step S5, and the density of the light pattern is proportional to the absolute value of the difference.

[0017] This invention proposes an interactive training and demonstration system and method for pattern design in the apparel industry, which has the following advantages compared with existing technologies: This invention utilizes augmented reality projection technology to directly project pre-rendered 3D defect images (such as taut red heatmaps and jagged stitching error patterns) onto the trainee's physical drawing paper. Trainees do not need to wear VR glasses or operate a computer; they can see the consequences while drawing, effectively establishing a cognitive connection between 2D lines and 3D shapes, and significantly lowering the understanding threshold for complex concepts such as provincial highway transitions and hill matching.

[0018] This invention differs from simulation systems that rely on high-performance graphics cards for real-time physics calculations. It innovatively proposes a "feature retrieval + pre-defined database access" technical approach. By using pre-rendered high-quality images to replace real-time computation, the system can run smoothly on ordinary training computers with faster response times, making it ideal for deployment in corporate training departments or university laboratories.

[0019] The system integrates multiple functional modules, including provincial highway transfer demonstration, component assembly verification, trajectory correction guidance, and fabric parameter switching. In particular, designs such as automatic size recognition using magnetic positioning stickers and adaptive projection brightness adjustment based on ambient light detection fully consider the complexity of actual training scenarios, significantly improving the equipment's practicality and intelligence. By projecting standard trajectory dotted lines with dynamic directional arrows through the correction guidance module, the system can correct the trainee's pen stroke direction and line curvature in real time, teaching not only the "result" but also the "process," helping trainees develop standardized drafting habits. Attached Figure Description

[0020] The accompanying drawings are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and, together with the description, serve to explain the principles of the invention. Other embodiments and many anticipated advantages of the embodiments will be readily recognized as they become better understood through reference to the following detailed description. Other features, objects, and advantages of this application will become more apparent from reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the architecture of an interactive training and demonstration system for pattern design for apparel companies, according to one embodiment of this application. Figure 2 This is a schematic diagram of a scenario demonstrating the principle of provincial highway transfer in a specific embodiment of this application; Figure 3 This is a schematic diagram of a scenario for a component assembly verification module according to a specific embodiment of this application; Figure 4 This is a flowchart of an embodiment of an interactive training and demonstration method for pattern design for apparel companies.

[0021] Attached labels: 1-Physical training workbench, 2-Image acquisition unit, 3-Projection feedback unit, 4-Training case database, 5-Central processing terminal. Detailed Implementation

[0022] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] Figure 1 This application illustrates a schematic diagram of the architecture of an interactive training and demonstration system for pattern design for apparel companies, based on one embodiment of the present application. Figure 1As shown, the system includes a physical training workbench 1, an image acquisition unit 2, a projection feedback unit 3, a training case database 4, and a central processing terminal 5. The physical training workbench 1 serves as the interactive platform, with the image acquisition unit 2 and projection feedback unit 3 vertically positioned above it. The optical axes of the image acquisition unit 2 and projection feedback unit 3 are pre-calibrated coaxially to ensure their fields of view (FOV) are highly aligned on the workbench surface, thus eliminating parallax. The central processing terminal 5, as the core control hub of the system, communicates with the image acquisition unit 2, projection feedback unit 3, and training case database 4 via wired or wireless high-speed data interfaces (such as USB 3.0, HDMI, or Gigabit Ethernet). From an overall operational logic perspective, the system forms a closed-loop "perception-retrieval-feedback" circuit, as detailed below: During the perception phase, image acquisition unit 2 captures the physical paper pattern and hand-drawn lines on the workbench in real time; During the processing stage, the central processing terminal 5 performs edge detection and vectorization extraction on the image, and compares the extracted feature data with the standard plate geometric model in the training case database 4. During the decision-making phase, the system calculates deviation values ​​(such as arc length difference and angle difference). Once the deviation falls into the preset feature deviation threshold range, the retrieval mechanism is triggered, and the pre-stored pre-rendered 3D defect image is directly retrieved from the database. During the feedback phase, the central processing terminal 5 performs perspective transformation correction on the called image and drives the projection feedback unit 3 to accurately "fit" the image onto the corresponding area of ​​the physical paper pattern, so that the user can directly observe the three-dimensional consequences of the error on the two-dimensional plane.

[0025] In a specific embodiment, the physical training workbench 1 is used to place drawing paper, and its surface is preferably made of white diffuse reflective material to reduce projection hotspots and improve image recognition contrast. Infrared markers or high-contrast QR codes are set at the four corners of the workbench. When the system starts, a homography matrix is ​​established by recognizing these four points, achieving precise mapping between the physical world coordinate system and the projected image coordinate system. In this embodiment, the workbench surface is also divided into virtual UI areas. Using image recognition technology, specific areas are defined as "infrared touch boxes" or "gesture recognition areas." For example, when the system detects that a user's finger clicks the projected "fabric switching" icon on the desktop for more than 0.5 seconds, it determines it as a valid click and triggers a fabric parameter switching command.

[0026] In a preferred embodiment, the system is equipped with an intelligent magnetic positioning system at the workbench level. The workbench is equipped with multiple magnetic positioning stickers of different colors. These stickers serve both to secure the drawing paper and as visual beacons for transmitting size parameters. The training case database 4 pre-stores color coding protocols; for example, red magnetic stickers correspond to size S (small), yellow magnetic stickers to size M (medium), and blue magnetic stickers to size L (large). When the user uses a magnetic positioning sticker of a specific color (e.g., yellow) to secure the paper, the image acquisition unit 2 identifies the color information and sends it to the central processing terminal 5. The terminal automatically loads the "size M standard plate geometric model" from the database as the reference data for subsequent comparisons.

[0027] In a specific embodiment, the image acquisition unit 2 is responsible for high-precision visual perception and can use an industrial camera with a resolution of 4K or higher. Ambient light detection is integrated within the acquisition unit or implemented through algorithms. The central processing terminal 5 analyzes the average grayscale value of the acquired image in real time. If the detected ambient light level exceeds a preset threshold (e.g., 500 Lux), the system automatically enters a "strong light mode": the projected image undergoes color inversion, and the line edges are sharpened using Laplacian sharpening. Simultaneously, the background color is changed from transparent to a high-contrast complementary color (e.g., projecting a dark blue background onto white paper) to ensure visibility.

[0028] In a specific embodiment, the training case database 4 serves as the core knowledge base of this system, using a key-value pair structure to store data, replacing the high-computing-power real-time physical simulation. It includes a standard plate set model library and a defect association mapping table. The standard plate set model library stores vector data for plates of various sizes (S / M / L) conforming to the GB / T 1335 standard. The defect association mapping table establishes an index from "two-dimensional deviation" to "three-dimensional consequence." Example data structure: Key: Deviation type = "Front sleeve cap arc length too long"; Deviation range = [+1.5cm, +2.5cm]. Value: Corresponding pre-rendered image file path = / assets / sleeve_error_bulge_high.png (This image is pre-rendered by CLO3D, with an alpha channel, showing a raised top of the sleeve cap with red stress lines).

[0029] In a specific embodiment, the central processing terminal 5 serves as the brain of the system, internally running multiple core algorithm modules, including a feature extraction module, a provincial highway transfer principle demonstration module, a component assembly and verification module, and a correction and guidance module. The feature extraction module, upon receiving the original image, first performs Gaussian filtering for noise reduction, then uses the Canny edge detection operator to extract line contours, and then uses Hough transform to separate straight lines (auxiliary lines) and curves (contour lines), extracting key points of the curves (such as endpoints, inflection points, and points of maximum curvature), and constructing a vector feature set V={L,C,P}, where L is the line segment length, C is the average curvature, and P is the coordinates of the key points.

[0030] In a specific embodiment, Figure 2 A schematic diagram illustrating a scenario of a provincial highway transfer principle demonstration module according to a specific embodiment of this application is shown, such as... Figure 2 As shown, this scenario demonstrates how the system guides users to transfer from one type of dart (such as an armpit dart) to another (such as a neckline dart) by physically rotating the paper pattern, and provides real-time, visualized feedback on the closing error. First, the user operates on the physical training workbench ( Figure 1 In step 1), a garment pattern is placed on the plate. The image acquisition unit captures the contour features of the pattern in real time and locks the BP point (Bust Point, or bust point) inside the plate. The system defines this point as the rotation anchor point for geometric transformation. For example... Figure 2 As indicated by the curved solid arrow, the user rotates the paper pattern counterclockwise around point BP. The image acquisition unit calculates the rotation angle θ of the paper pattern relative to its initial position in real time using optical flow tracing algorithms or feature point matching. During the user's rotation, the central processing terminal, based on the calculated rotation angle and pre-stored plate-making rules in the database, drives the projection feedback unit to project two dashed lines with clear demonstration significance onto the physical paper surface (as shown by the dashed lines in the figure): the actual dart extension line is a dynamic auxiliary line generated based on the current physical position of the paper pattern. The system extracts one edge of the dart opening (usually the edge to be closed) and extends it outward to generate a projected dashed line. As the user rotates the paper pattern, the actual dart extension line moves in real time with the paper pattern, intuitively showing the current dart opening direction. The target position line is a static reference line generated based on the standard plate data in the training case database. It represents the theoretical position that the above edge should reach when the provincial road is completely and correctly closed (i.e., the provincial road transfer is completed). This line is kept fixed on the projection surface (or displayed according to the set position of the target provincial road) and serves as the endpoint target for the user's rotation operation.

[0031] In a specific embodiment, the error judgment and interactive feedback mechanism of the provincial highway transfer principle demonstration module is as follows: the system calculates in real time the angle deviation Δθ between the actual provincial highway extension line and the target position line. For example... Figure 2As shown, because the user's rotation angle has not reached or exceeded the standard closing angle, there is an angle between the actual line and the target line. The degree of this angle opening visually demonstrates the current operational error to the user. To enhance the warning effect, when the system determines that the deviation Δθ exceeds the allowable tolerance range (e.g., Δθ>5°), a flashing error spot will be projected in the angle area between the two dashed lines (or at the end of the target line). The flashing frequency of the spot can be correlated with the magnitude of the deviation. For example, when the deviation is large, the spot flashes at a low frequency (1Hz); as the user fine-tunes the rotation angle to bring the actual line closer to the target line, the flashing frequency of the spot increases; when the two lines completely overlap (or Δθ≈0), the spot turns into a solid green checkmark or disappears directly, prompting the user that "the route has been moved to the correct position, and the next operation can be performed." Through the above mechanism, Figure 2 This demonstrates how the system helps trainees understand the abstract principle of provincial highway transfer. Trainees do not need to imagine the state after the provincial highway is closed; they only need to focus on whether the two projected lines overlap to accurately grasp the amount of rotation, achieving a WYSIWYG interactive skill demonstration.

[0032] Figure 3 This illustration shows a scenario diagram of a component assembly verification module according to a specific embodiment of this application. The scenario demonstrates how the system automatically identifies the matching relationship and verifies and provides feedback on the reasonableness of the allowable overlap amount when a user simultaneously places two independent plates requiring stitching on a physical workbench. Figure 3 As shown, the left side of the field of view is the garment body panel (armhole area), and the right side is the sleeve panel (sleeve cap area). The system locks the concave curve of the armhole area and the convex curve of the sleeve cap area, and extracts the physical arc length data of these two curves in real time, denoted as L. armhole and L cap Based on the principles of garment pattern making, the central processing terminal calculates the difference in length between the two arc segments, i.e., the ease of application ΔE=L. cap -L armhole The system compares the real-time calculated ΔE with the pre-stored standard threshold range in the training case database. For example, for a regular suit sleeve, a reasonable ease range is typically [0.8cm, 1.2cm]. If ΔE falls within this range, the system determines the stitching is acceptable. If ΔE exceeds this range (too large or too small), the system determines the stitching is abnormal and triggers events such as... Figure 3 The light and shadow feedback mechanism shown projects light onto the edges of the two plates to be stitched together. Figure 3The serrated pattern shown projects a cyan pattern onto the left armhole edge and a red pattern onto the right sleeve cap edge. This complementary color design (or warm / cool color contrast) not only visually distinguishes the edges of two different panels but also psychologically reinforces the assembly cues of meshing or engagement, simulating the interlocking relationship of a zipper or gear. The serrated pattern shown is not a static pattern; its morphological parameters (such as the density / frequency of the serrations) are functionally mapped to the calculated ease difference ΔE. When the ease deviation is large (e.g., the sleeve cap is much longer than the armhole, resulting in ΔE > 2.0 cm), such as... Figure 3 As shown by the red light pattern on the right, the jagged ripples become sparser and larger in amplitude (or, depending on the settings, denser and sharper), creating a strong visual abruptness and alerting the user to a serious size mismatch. Forced fitting will result in wrinkles in the garment or excessive sleeve cap bulge. When the trainee trims the sleeve cap curve or adjusts the armhole depth based on feedback, gradually bringing ΔE closer to the standard range, the projected jagged light pattern changes in real time (e.g., becoming a smooth dashed line or a green matching light band), thus dynamically guiding the modification process. Figure 3 The interactive method shown in this system transforms abstract arc length difference data into intuitive physical edge lighting effects, enabling trainees to perceive potential structural problems in three-dimensional assembly on a two-dimensional paper surface without the need to sew sample garments.

[0033] In a specific embodiment, the central processing terminal 5 also runs a correction guidance module to proactively intervene in drawing errors that have not been corrected for a long time. After the system retrieves and projects the defect image, it starts a timer (preset threshold T=5 seconds). If the image acquisition unit detects that the user's pen tip trajectory has not been effectively modified during this period, the system will determine that the user "does not know how to correct it". At this time, the system calculates the shortest deformation path from the current hand-drawn error line to the correct standard line based on the standard plate geometry model. The projection feedback unit will superimpose a green standard correction trajectory dotted line while maintaining the original red defect image (such as wrinkles). A dynamically flowing cursor arrow is superimposed on this dotted line through animation rendering. The arrow's flow speed is set to 5cm / s, and its direction points to the correct pen stroke endpoint, thus guiding the trainee step by step to complete the line correction.

[0034] Figure 4 A flowchart illustrating an embodiment of this application of an interactive training and demonstration method for pattern design for apparel companies is shown, as follows: Figure 4 As shown, the method includes the following steps: S1: The system identifies the four corner markers of the paper placed on the workbench and establishes a mapping matrix between the physical paper coordinate system and the projected image coordinate system.

[0035] In a specific embodiment, the system uses an image acquisition unit to identify markers (such as specially made infrared reflective stickers or high-contrast corner markers) at the four corners of the drawing paper placed on the physical training workbench. The central processing terminal calculates and establishes a homography matrix based on the correspondence between the image coordinates of these four feature points and their physical world coordinates. This matrix establishes a precise mapping between the physical paper coordinate system and the projected image coordinate system, ensuring that the content projected in subsequent steps accurately fits the specific position on the physical paper without geometric distortion.

[0036] S2: Tracks the trajectory of the hand-drawn pen tip in real time, uses Hough transform to identify line types, classifies them as contour lines, structural lines or auxiliary lines, and extracts their vector features.

[0037] In a specific embodiment, the image acquisition unit tracks the movement trajectory of the pen tip in real time at a high frame rate (e.g., 60fps). The captured lines are geometrically analyzed using the Hough transform algorithm. Based on the continuity, curvature, and drawing speed, the system automatically classifies the lines into: contour lines (solid lines representing the final shape of the board); structural / basic lines (thin solid lines used to assist in composition); and auxiliary lines (such as provincial highway center lines or annotation lines). Vector features are extracted from the classified lines, including line segment length, arc curvature, and coordinates of key points (such as endpoints, intersections, and BP points), forming a computable vector dataset.

[0038] S3: The categorized line data is transmitted to the central processing terminal to determine whether it violates preset garment structure drafting rules. This step includes depth determination logic for specific drafting scenarios. Provincial Highway Transfer Detection: When the system detects that the paper pattern is rotating around the BP point (cushion point) as the axis, the rotation angle is acquired in real time. The system retrieves the corresponding standard provincial highway closure state at that angle from the database and calculates whether there is an angular deviation between the currently hand-drawn provincial highway extension line and the theoretical target position line.

[0039] Component assembly determination: When the system detects that there are both body pieces and sleeve pieces to be assembled in the field of view, it calculates the sleeve cap arc length and armhole arc length respectively. The system calculates the difference (i.e., ease) and determines whether the difference falls within a reasonable range pre-stored in the database (e.g., [0.8cm, 1.2cm]).

[0040] S4: If a violation is detected, directly read the preprocessed image data in the database that is bound to the violation type, instead of performing real-time physical simulation calculations.

[0041] In a specific embodiment, this step uses a "lookup table method" instead of the traditional "real-time physical simulation". Instead of using limited computing power to solve complex partial differential equations of fabric mechanics in real time, the system directly reads pre-rendered, high-precision pre-processed image data from the defect association mapping table based on the type of defect (such as excessive fabric stretch) and the magnitude of the deviation. The image data called includes, but is not limited to: stress heat maps showing fabric tension or accumulation, and virtual fitting images showing the local wrinkle morphology of the finished garment.

[0042] S5: Project the read image data onto paper to provide an instant visual demonstration of the consequences of incorrect drawing.

[0043] In a specific embodiment, the 3D garment defect image is transformed by perspective and then overlaid on the corresponding 2D plate area. For feedback in the dart scenario: if the dart is not closed, a flashing light spot is projected between two non-overlapping auxiliary lines. The flashing frequency of the light spot increases as the error decreases until they overlap. For feedback in the stitching scenario: if the allowance is unreasonable, a serrated light pattern is projected at the seam edge. The color of the light pattern (red / cyan) indicates the direction of the deviation, and the density of the light pattern visually reflects the absolute value of the difference, guiding the trainee to intuitively correct the curve.

[0044] Through the cyclical steps S1 to S5 described above, the method of the present invention enables trainees to perceive in real time the impact of minute changes in two-dimensional lines on the quality of three-dimensional garments without making sample garments, greatly improving training efficiency and experience.

[0045] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. An interactive training and demonstration system for pattern design for apparel companies, characterized in that, include: A physics training workbench is used to place drawing paper. An image acquisition unit and a projection feedback unit are set on top of it. The optical axes of the image acquisition unit and the projection feedback unit are pre-calibrated to coincide. The training case database pre-stores a standard plate geometric model library and a defect association mapping table; the defect association mapping table contains key-value pairs of multiple feature deviation thresholds and pre-rendered 3D defect images; The central processing terminal is communicatively connected to the image acquisition unit, the projection feedback unit, and the training case database, and is configured to perform the following steps: The system receives real-time drawing images captured by the image acquisition unit and extracts vector features of hand-drawn lines using an edge detection algorithm. These vector features include line segment length, curvature, and key point coordinates. The extracted hand-drawn vector features are compared with the standard plate geometric model in the database, and the deviation value is calculated; when the deviation value falls within the preset feature deviation threshold range, the retrieval mechanism is triggered. Based on the triggered threshold range, the corresponding pre-rendered 3D defect image is retrieved from the defect association mapping table; The driving projection feedback unit transforms the pre-rendered 3D defect image through perspective and accurately projects it onto the corresponding area of ​​the physical drawing paper, visually demonstrating the consequences of drawing deviations on the appearance of the garment.

2. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The pre-rendered 3D defect images stored in the training case database include: a tension distribution demonstration layer, which uses color gradients to represent fabric tension, where red areas represent tightness and blue areas represent accumulation; a virtual sample garment demonstration layer, which contains a partial appearance image of a virtual garment with light and shadow rendering effects to show the fold shape; the central processing terminal supports switching between displaying the tension distribution demonstration layer or the virtual sample garment demonstration layer in the screen output by the projection feedback unit through user gesture commands.

3. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The system is also equipped with a provincial road transfer principle demonstration module. When the image acquisition unit detects the physical rotation of the paper with the BP point of the board as the center, the system calculates the rotation angle. The system queries the database based on the rotation angle and calls the pre-stored provincial road shape data under the corresponding opening. The projection feedback unit projects two dynamic auxiliary lines on the physical paper surface: one is the extension line of the current actual provincial road line, and the other is the target position line in the standard closed state. When the two lines do not coincide, a flashing light spot indicates the closure error.

4. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The system is also equipped with a component assembly verification module. When the image acquisition unit detects two independent plates simultaneously, the component assembly verification module extracts the arc length data of the edges to be stitched on the two plates respectively. The system calculates the difference between the two arc lengths and compares the difference with a reasonable allowance range pre-stored in the database. If the difference exceeds the range, the system drives the projection feedback unit to project complementary color sawtooth light patterns at the stitching edges of the two plates. The density of the light patterns is proportional to the absolute value of the difference.

5. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The central processing terminal also includes a correction guidance module: after the system retrieves and projects a pre-rendered 3D defect image, a preset time is allowed; if the image acquisition unit detects that the hand-drawn lines have not changed, the projection feedback unit will superimpose a standard correction trajectory dotted line while maintaining the defect image projection. The correction trajectory dotted line has a dynamically flowing directional arrow to guide the correct drawing pen direction.

6. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The surface of the physical training workbench is equipped with an infrared touch frame or gesture recognition area: the user sends a fabric parameter switching command to the central processing terminal by clicking a specific projection icon on the physical desktop; the system responds to the command and switches the pre-rendered 3D defect image from the stiff fabric library to the draped fabric library to demonstrate the changes in fold texture density and shadow depth under different fabric properties.

7. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The system also includes a physical pattern recognition and calibration module. The physical training workbench is equipped with magnetic positioning stickers of various colors. The different colored magnetic positioning stickers correspond to the geometric models of standard pattern pieces of different sizes in the training case database. The central processing terminal identifies the color information of the magnetic positioning stickers through the image acquisition unit, automatically loads the standard geometric model of the corresponding size from the training case database as a comparison benchmark, and projects the outline of the virtual mannequin corresponding to the size as a background reference in the projection feedback unit.

8. The interactive training and demonstration system for pattern design for apparel companies according to claim 1, characterized in that, The projection feedback unit is equipped with an ambient light adaptive adjustment function, and the image acquisition unit is also used to detect the ambient light illuminance on the surface of the physical drawing paper. When the ambient light illuminance is higher than a preset threshold, the central processing terminal controls the projection feedback unit to automatically reverse the color mode of the projected image, switch the background color of the pre-rendered three-dimensional defect image from transparent to a high-contrast complementary color, and enhance the edge sharpness of the projected lines.

9. An interactive training and demonstration method for pattern design for apparel companies using the system as described in any one of claims 1-8, characterized in that, include: S1: The system identifies the four corner markers of the paper placed on the workbench and establishes a mapping matrix between the physical paper coordinate system and the projected image coordinate system; S2: Real-time tracking of the pen tip trajectory, using Hough transform to identify line types, classifying them as contour lines, structural lines or auxiliary lines, and extracting their vector features; S3: Input the classified line data into the central processing terminal to determine whether it violates the preset clothing structure drawing rules; S4: If a violation is detected, directly read the pre-processed image data bound to the violation type from the database, instead of performing real-time physical simulation calculations; and S5: Project the read image data onto paper to provide an instant visual demonstration of the consequences of incorrect drawing.

10. The interactive training and demonstration method for pattern design for apparel companies according to claim 9, characterized in that, For the provincial road transfer scenario: In S3, when the paper pattern is detected to rotate around the BP point as the axis, the system retrieves the standard provincial road closure data based on the rotation angle and determines whether the current hand-drawn provincial road extension line coincides with the standard target position line; if they do not coincide, a flashing light spot is projected in S5 to demonstrate the closure error; For the component assembly scenario: In S3, when the sleeve piece and the body piece coexist, the system calculates the length difference between the sleeve cap arc and the armhole arc. If the difference exceeds the reasonable range of pre-stored potential in the database, then in step S5, a sawtooth pattern is projected at the stitching edge, and the density of the pattern is proportional to the absolute value of the difference.

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