An individualized embroidery customization complete-process management system and method

Abstract

The application discloses a kind of individualized embroidery custom whole process management system, method, it is related to individualized customization management technical field, including the following steps: collecting order data in the whole process of individualized embroidery customization, pattern design, wire type information and process rhythm information, the data collected is analyzed, the production batch corresponding to metal wire is identified, and polarization sensitive list is generated.The application realizes the dynamic coordination of polarization angle, exposure timing and light switching by establishing polarization sensitive list, time scale table and brightness compensation control draft, eliminates brightness sudden drop and dark spot misjudgment, improves detection stability and imaging quality.Through light adjustment and gray scale compensation collaborative control, realize brightness balance and image consistency, enhance metal thread embroidery product detection precision and production collaborative efficiency.

Description

Technical Field

[0001] This invention relates to the field of personalized customization management technology, specifically to a personalized embroidery customization full-process management system and method. Background Technology

[0002] Personalized embroidery customization end-to-end management refers to the integrated management of all aspects of embroidery products, driven by individual customer needs, and centered on digital design, intelligent manufacturing, big data processing, and closed-loop data management. This involves the collection of customization requirements, generation of pattern designs, material matching and selection, pattern making and stitch planning, production execution scheduling, process quality monitoring, and finished product delivery feedback. This management approach establishes a dynamic data chain spanning the design, manufacturing, and service ends, and combines big data processing to deeply analyze customer preferences, design characteristics, and production behaviors. This enables precise mapping between customer intent and process parameters, allowing pattern design, embroidery thread paths, color gradations, and production rhythms to automatically adapt to the characteristics of different personalized orders. This constructs a complete digital control system covering customization, design, manufacturing, inspection, and feedback, ensuring the personalized expression of each embroidered product and efficient collaboration throughout the production process.

[0003] The existing technology has the following shortcomings: In existing technologies, the appearance inspection of embroidered products typically employs industrial cameras with polarizing filters for image acquisition to suppress high-brightness reflections from the embroidered surface. However, when metal wires are incorporated into the embroidery thread, its surface generates strong specular reflections. If the angle of reflection overlaps with the camera's polarization angle, the polarizing filter will completely filter out the reflected light in that direction, causing a sharp drop in camera image brightness or the appearance of dark spots in localized areas. When analyzing the image brightness distribution, the inspection system may easily misidentify these dark spots as areas with empty needles, triggering incorrect defect alarms or shutdown commands. This problem is more likely to occur under conditions of multi-angle incident light, significantly reducing inspection accuracy and causing normal embroidery to be misjudged as missed embroidery, severely impacting the reliability of automated inspection and the stability of production rhythm.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a personalized embroidery customization full-process management system and method to solve the problems in the background art mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for managing the entire process of personalized embroidery customization, comprising the following steps: Collect order data, pattern designs, thread type information, and process rhythm information throughout the entire personalized embroidery customization process; analyze the collected data; identify the production batches corresponding to the metal threads; and generate a polarization-sensitive list for optimization preparation during the testing phase. Based on the polarization-sensitive list, multi-angle illumination and multi-directional polarization imaging were performed during the sample stage to record the reflective brightness change data at each angle, generate a reflective overlap distribution map, extract data of brightness anomaly areas, and form brightness anomaly distribution information. By correlating and analyzing the information on abnormal brightness distribution with production rhythm information and illumination switching cycle information, the key time periods when polarization reflection overlap occurs are determined, a time scale table is established, and a time reference for illumination adjustment is formed. Based on the time scale, the polarization rotation sequence and exposure timing are planned, the polarization adjustment amplitude, exposure pause point and light source switching threshold are determined, and a brightness compensation control draft is generated for execution control in the detection stage. During the detection execution phase, illumination coordination adjustment is implemented in accordance with the brightness compensation control draft. Gray-scale compensation is performed through a collaborative approach of continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment to maintain image brightness balance within the imaging window and achieve full-process detection optimization.

[0007] Preferably, the steps for generating the polarization-sensitive list are as follows: Collect order data, pattern information, thread type information and process rhythm information throughout the entire process of personalized embroidery customization, and collect and store customer customization needs, product style numbers, stitch distribution, thread composition and process rhythm parameters in a unified manner. The collected data were subjected to hierarchical analysis and cross-comparison. The wire numbers in the pattern were mapped to the wire type information to extract the usage area of ​​the metal wire and determine its distribution range. Match wire distribution information with order information and process rhythm information to identify the allocation of metal wire in the production process, determine the corresponding production batch of metal wire, and generate wire feature tags. The identified production batch information is organized and reorganized to form a polarization-sensitive list, recording the metal wire type, optical reflection characteristics, pattern area used, and process rhythm parameters for optimization preparation in the detection stage.

[0008] Preferably, when forming the polarization-sensitive list, the correspondence between the light reflection characteristic parameters of the metal wire and the process rhythm parameters is recorded according to the production batch, and the reflection characteristics of different metal wires are classified and labeled, so that each record item in the polarization-sensitive list corresponds to the specific pattern and wire type. This is used to guide the adjustment of the illumination direction and polarization angle in the subsequent detection stage, thereby achieving optimization of the detection of the reflective characteristics of metal wires.

[0009] Preferably, the process for forming the brightness anomaly distribution information is as follows: Based on the metal wire type, wire reflection characteristic parameters, pattern area distribution information and process rhythm characteristics recorded in the polarization sensitive list, a lighting angle layout scheme is constructed so that the lighting angle forms a combination distribution on the horizontal and vertical planes to achieve multi-angle coverage. Perform multi-directional polarization imaging according to the lighting angle layout scheme. Adjust the rotation direction of the polarizer sequentially with a fixed lighting angle as the reference, and collect and record the image brightness distribution at each angle. Data on reflective brightness variation under different illumination angles were recorded and collected to construct a multidimensional brightness matrix based on illumination angle, polarization direction and shooting time sequence, and reflective overlap distribution map was drawn. Data extraction and analysis are performed on the brightness anomaly areas in the reflection overlap distribution map to form brightness anomaly distribution information including brightness peak differences, illumination angle range, and polarization direction range.

[0010] Preferably, in the process of drawing the reflective overlap distribution map, the brightness data under multi-angle illumination is spatially mapped according to the sample surface coordinates, and the regional distribution is formed with brightness intensity as the scale. When extracting the brightness abnormal area data, the brightness abnormal area is correlated with the wire number, pattern partition and process rhythm parameters in the polarization sensitive list to improve the accuracy and traceability of the brightness abnormal distribution information.

[0011] Preferably, the steps for generating the illumination adjustment time reference are as follows: The time series information of abnormal brightness distribution is organized, and the time correspondence between the abnormal brightness distribution information and the production rhythm information is determined to identify the time intersection between abnormal reflection and process rhythm. The information on the illumination switching cycle is introduced and fused with the time distribution of brightness anomalies for analysis to identify the overlap between illumination changes and brightness anomalies, and the polarization reflection superposition relationship is determined in combination with the production rhythm change pattern. The overlap between the illumination switching cycle and the time interval of abnormal brightness is compared to extract the key time period of polarization reflection overlap and form a reflection overlap time series. A time scale table was established based on the polarization reflection overlap time series. Each period of polarization reflection overlap was marked as a key time node. The illumination status, polarization direction, brightness anomaly amplitude, exposure stage and production rhythm status were recorded to form an illumination adjustment time benchmark.

[0012] Preferably, the time scale is established with the time axis as the core building unit. The illumination status, polarization direction, brightness anomaly amplitude, exposure stage and production rhythm status during the polarization reflection overlap period are marked synchronously. The time distance and phase difference between each key node are marked by inserting a time reference scale, so that the illumination change and brightness anomaly change form a corresponding relationship in the time dimension, which is used to guide the time synchronization control of illumination adjustment and polarization rotation.

[0013] Preferably, the steps for generating the brightness compensation control draft are as follows: The polarization rotation sequence is planned according to the key periods of polarization reflection overlap recorded in the time scale table. The starting angle, ending angle and rotation sequence of polarization rotation are determined by comparing the trend of polarization direction change, so that the polarization angle adjustment is synchronized with the lighting rhythm. Based on the distribution of illumination changes and brightness anomalies in the time scale table, the exposure sequence is planned, the exposure operation is performed during the polarization angle stabilization phase, and an exposure pause point is set to maintain illumination stability. Based on the brightness variation range and illumination switching pattern in the time scale table, the light source switching threshold is determined, and the illumination switching is completed before entering the abnormal brightness range, so that the illumination, polarization rotation and exposure control are consistent. The polarization rotation sequence, exposure timing, and light source switching threshold are integrated to generate a brightness compensation control draft, forming a time correspondence between illumination state, polarization direction, and exposure stage, which is used for execution control during the detection stage.

[0014] Preferably, during the detection execution phase, illumination coordination adjustment is implemented according to the brightness compensation control draft. The grayscale compensation steps are performed through a coordinated approach of continuous polarization angle alternation, half-cycle alternating exposure, and macro-position framing adjustment, as follows: The polarization angle is continuously rotated according to the time reference of the brightness compensation control draft, so that the polarization angle changes continuously and uniformly within the detection cycle, and the polarization rotation rate is synchronized with the exposure sequence to ensure the stability of the polarization angle. Based on the continuous rotation of polarization angle, a half-cycle alternating exposure operation is performed, with alternating exposure in the rising and falling segments of polarization angle to keep the exposure time synchronized with the illumination switching cycle and obtain image information under different polarization directions. After completing the continuous polarization angle alternation and half-cycle alternating exposure, a micro-positioning adjustment operation is performed, and micro-positioning is carried out in the vertical and horizontal directions within the imaging window plane to maintain illumination balance. After completing polarization rotation, alternating exposure, and micro-position adjustment, a grayscale compensation process is performed to equalize the grayscale of different exposure frames, so that the image brightness within the imaging window remains balanced, thereby optimizing the entire detection process.

[0015] A personalized embroidery customization end-to-end management system includes a polarization-sensitive identification module, a polarization imaging modeling module, a time-series mapping analysis module, a dynamic control planning module, and a brightness equalization compensation module. The polarization-sensitive identification module collects order data, pattern designs, thread type information, and process rhythm information throughout the personalized embroidery customization process. It analyzes the collected data, identifies the production batch corresponding to the metal thread, and generates a polarization-sensitive list for optimization preparation in the detection stage. The polarization imaging modeling module, based on the polarization sensitive list, performs multi-angle illumination and multi-directional polarization imaging during the sample stage, records the reflective brightness change data at each angle, generates a reflective overlap distribution map, extracts data of brightness anomaly areas, and forms brightness anomaly distribution information. The time-series mapping analysis module correlates and analyzes the abnormal brightness distribution information with the production rhythm information and the illumination switching cycle information to determine the key time periods when polarization reflection overlap occurs, establishes a time scale table, and forms an illumination adjustment time reference. The dynamic control planning module plans the polarization rotation sequence and exposure timing based on the time scale table, determines the polarization adjustment amplitude, exposure pause point and light source switching threshold, and generates a brightness compensation control draft for execution control during the detection stage. The brightness equalization compensation module implements illumination coordination adjustment according to the brightness compensation control draft during the detection execution phase. It performs grayscale compensation through a collaborative approach of continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment to maintain image brightness balance within the imaging window and achieve full-process detection optimization.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention introduces a detection optimization mechanism based on a polarization-sensitive list throughout the personalized embroidery customization process, achieving dynamic closed-loop management from data acquisition to illumination control. This enables polarization detection to adaptively adjust in scenarios containing metal threads. By establishing a time scale table and a brightness compensation control draft, the polarization angle rotation, exposure sequence, and illumination switching are kept consistent, eliminating the problem of sudden brightness drops caused by polarization overlap. This effectively avoids false detections of dark spots and missed embroidery, improving the stability of the detection process and image quality.

[0017] This invention achieves synchronized optimization of light intensity, polarization direction, and imaging framing during the detection stage through coordinated control of illumination adjustment and grayscale compensation, ensuring brightness balance and image consistency under multi-angle imaging. This method improves the detection accuracy and production rhythm coordination of embroidered products containing metallic threads, realizes continuous data linkage between design, manufacturing, and detection stages, and enhances the reliability and consistency of automatic detection in personalized customization production. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of a personalized embroidery customization process management method according to the present invention.

[0020] Figure 2 This is a schematic diagram of the modules of a personalized embroidery customization full-process management system of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figure 1 The method for managing the entire process of personalized embroidery customization, as shown, includes the following steps: Collect order data, pattern designs, thread type information, and process rhythm information throughout the entire personalized embroidery customization process; analyze the collected data; identify the production batches corresponding to the metal threads; and generate a polarization-sensitive list for optimization preparation during the testing phase. In the data collection and batch identification of metal wires throughout the personalized embroidery customization process, the entire process revolves around information integration and data correlation. Through orderly collection, analysis, identification, and organization, a polarization-sensitive list is established for the subsequent testing and optimization stages. The specific implementation steps are as follows: Comprehensive data collection across multiple dimensions is conducted throughout the personalized embroidery customization process, including order data, pattern information, thread type information, and process rhythm information. During data collection, basic information such as customer customization requirements, product style number, design dimensions, color layering, and embroidery thread number is recorded for order data. For pattern information, the stitch distribution, stitch spacing, pattern density, color thread layering, and path sequence in each pattern design file are digitally analyzed to establish a correspondence with thread information. For thread type information, basic data such as thread composition, gloss, reflectivity, fiber structure, and supply batch number are collected. For process rhythm information, the execution sequence, time intervals, thread change cycles, and machine head movement rhythm of each process are recorded. All collected information is stored in a structured manner within the same data space to maintain consistency and traceability between different types of information, providing a complete input foundation for subsequent analysis.

[0023] After obtaining complete multi-source data, the collected data underwent stratified analysis and cross-comparison. The focus of the analysis was mapping the thread numbers involved in the patterns to thread type information, thereby determining the thread categories used in different areas. During the analysis, thread usage records from each order were organized, extracting all thread entries involving metal components, and combining this with supply batch number information to determine their allocation batch in the production process. By identifying the correspondence between stitch distribution in the patterns and thread types, it became clear which embroidery areas used metal threads and which areas used ordinary fiber threads. At this point, not only was the presence of metal threads identified, but the usage range and distribution ratio of each type of metal thread in specific patterns were also determined, providing accurate data support for the next stage of batch identification.

[0024] Based on the obtained wire distribution information, the allocation of metal wire in production batches is identified and confirmed. By matching order information with process rhythm information, the production time sequence, equipment sequence, and material change nodes for each batch can be determined. Combining the identified metal wire usage distribution, the wire configuration of each production batch when executing different pattern processes is analyzed, thereby identifying the production batches actually using metal wire. In this process, each batch is assigned an independent wire characteristic tag, which includes the metal wire composition ratio, light reflection characteristic parameters, stitch density distribution characteristics, and the corresponding pattern number. This method not only clarifies which batches belong to the metal wire processing batches but also establishes a correspondence between metal wire attributes and process execution time, ensuring a one-to-one correspondence between the wire characteristics and production rhythm of each batch. This step aggregates the information collected and analyzed in the first two steps, forming a complete batch identification chain.

[0025] After identifying the production batches corresponding to the metal wires, the relevant batch information is organized, archived, and structurally reorganized to form a polarization-sensitive list. The polarization-sensitive list uses batches as the basic unit, recording key data for each batch, including the type of metal wire involved, the optical reflection characteristics of the wire, the description of the wire surface structure, the area of ​​use for the pattern, process rhythm parameters, and the production period. The construction of this list follows the principle of data traceability and process correspondence, ensuring that each record can be traced back to a specific order, pattern, and wire type. During the list generation process, for cases where multiple metal wires exist within the same pattern, the light reflection characteristics of each wire are classified and labeled so that subsequent inspection stages can adjust lighting and imaging strategies based on the polarization response characteristics of different wires. Once generated, the polarization-sensitive list can be directly accessed in subsequent inspection stages to guide the parameter configuration for multi-angle lighting and polarization imaging, ensuring that the inspection stage can specifically optimize the reflective characteristics of different types of metal wires.

[0026] Based on the polarization-sensitive list, multi-angle illumination and multi-directional polarization imaging were performed during the sample stage to record the reflective brightness change data at each angle, generate a reflective overlap distribution map, extract data of brightness anomaly areas, and form brightness anomaly distribution information. During the implementation of multi-angle illumination and multi-directional polarization imaging, the entire operation is based on a polarization-sensitive list and revolves around illumination direction control, polarization angle adjustment, imaging data recording, and brightness anomaly extraction. Multi-angle and multi-directional optical imaging techniques are used to capture the reflective properties of the sample surface from all angles, thereby generating brightness anomaly distribution information for subsequent detection and optimization. The specific implementation steps are as follows: Based on the metal wire types, wire reflection characteristics, pattern area distribution information, and process rhythm characteristics recorded in the polarization-sensitive list, an illumination angle layout scheme was constructed. Using the sample surface as a reference plane, the scheme determined the possible reflective direction distribution range of different wires under different incident angles by comparing and analyzing the light reflection characteristics of the wires in the polarization-sensitive list. To ensure the completeness of reflective information acquisition, multiple sets of illumination directions were set circumferentially on the sample surface, forming a combined distribution of illumination angles on both horizontal and vertical planes to achieve multi-angle coverage of the sample surface. Each illumination angle was synchronized with the polarization angle control device to ensure a stable correspondence between the incident light direction and subsequent polarization direction switching. In this step, the light intensity, incident distance, sample placement angle, and light source uniformity were all standardized to provide stable illumination conditions for subsequent polarization direction adjustments. This layout ensures that every area of ​​the sample receives sufficient illumination under multi-angle lighting, laying the foundation for capturing reflection information from different directions.

[0027] After completing the illumination angle layout, multi-directional polarization imaging was performed according to the light reflection direction range of the metal wires in the polarization-sensitive list. During the imaging process, using a fixed illumination angle as a reference, the rotation direction of the polarizer was adjusted sequentially at each illumination angle to cover the polarization direction of the entire angle range. After each polarization direction adjustment, an image was acquired on the sample, recording the image brightness distribution under the current combination of illumination angle and polarization direction. To ensure the continuity of reflective data, the polarization angle rotation step remained constant and the illumination intensity remained stable during the polarization direction change, so as to accurately compare the changes in reflective brightness in different directions later. At this stage, each set of imaging operations corresponded to the pattern area number and wire type information in the polarization-sensitive list to ensure that specific wire characteristics could be traced during subsequent data analysis. Through multi-directional polarization imaging, the changes in reflective intensity of different wires at various polarization angles can be comprehensively captured, thereby obtaining a panoramic view of the light reflection characteristics of the sample surface.

[0028] After completing multi-directional polarization imaging, the data on reflective brightness changes at various angles were recorded and collected. Each illumination angle corresponds to a set of brightness data under different polarization directions, forming a multi-dimensional brightness matrix through data association. This matrix is ​​constructed based on the mapping relationship between illumination angle, polarization direction, and the order of imaging time, ensuring that each brightness value has a clear angular location. Combined with the light reflection characteristics data of the metal wires in the polarization-sensitive list, the intensity variation of light reflection under different angle combinations can be clearly identified. Based on this, the brightness data from all illumination angles are overlaid and analyzed to create a reflective overlap distribution map. This distribution map, based on the sample surface coordinates and using brightness intensity as a scale, visually displays the distribution and overlap of reflective intensity in each region. Through the reflective overlap distribution map, differences in brightness overlap between different wire regions can be identified, thus locating areas of abnormal brightness caused by polarization angle overlap, providing a direct basis for subsequent data extraction.

[0029] After obtaining the reflection overlap distribution map, data extraction and analysis are performed on areas with abnormal brightness variations to form brightness anomaly distribution information. During data extraction, the focus is on areas with continuously uneven brightness changes under multi-angle illumination; these areas often correspond to light reflection interference caused by polarization angle overlap. By associating the brightness anomaly areas in the reflection overlap distribution map with the wire number, pattern partition, and process rhythm parameters in the polarization-sensitive list, the wire type and embroidery area corresponding to each brightness anomaly area can be clearly identified. The extracted brightness anomaly area data includes information such as brightness peak difference, illumination angle range, polarization direction range, and reflection duration. This information is summarized and integrated to form complete brightness anomaly distribution information. The brightness anomaly distribution information is recorded in a tabular structure to facilitate subsequent analysis corresponding to production rhythm and illumination switching cycles, providing a data foundation for determining the critical periods of polarization reflection overlap.

[0030] By correlating and analyzing the information on abnormal brightness distribution with production rhythm information and illumination switching cycle information, the key time periods when polarization reflection overlap occurs are determined, a time scale table is established, and a time reference for illumination adjustment is formed. In the implementation of temporal correlation and production rhythm matching of brightness anomaly distribution information, the entire process revolves around data time-series mapping. Through joint analysis of brightness anomaly distribution information, production rhythm information, and illumination switching cycle information, the occurrence patterns of polarization reflection overlap are gradually identified, and a time scale table is established accordingly to provide a precise time reference for illumination adjustment. The specific implementation steps are as follows: The information on abnormal brightness distribution is processed as a time series and correlated with production rhythm information along the time dimension. The abnormal brightness distribution information includes data such as the range of brightness peak variation, illumination angle range, polarization direction range, and reflection duration for each abnormal area. The production rhythm information includes the execution time of each process, thread change time, machine head movement rhythm, and process repetition cycle. By integrating these two types of information along a time axis, the temporal position of each abnormal brightness area within a specific production stage can be obtained. In this process, the reflection duration in the abnormal brightness data is correlated with the stitch execution time in the process rhythm to determine the temporal intersection between abnormal reflection and embroidery actions. When the duration of the abnormal brightness coincides with the execution time of a specific process rhythm segment, it can be preliminarily determined that the polarization reflection in that area may synchronously overlap with the production action rhythm, thus providing an initial time positioning basis for the next step of periodic analysis.

[0031] After obtaining the temporal correspondence between brightness anomaly areas and production rhythm, the illumination switching cycle information is introduced and fused for analysis. This information includes the time interval between light source type switching, the cycle length of illumination direction adjustment, the frequency of polarization angle rotation, and the duration of exposure periods. By merging the illumination switching cycle information with the brightness anomaly temporal distribution generated in the previous step, the overlap between illumination changes and brightness anomalies within the same time interval can be identified. During the analysis, the time nodes of the illumination switching cycle are compared with the duration of brightness anomalies to identify overlapping sections. When the illumination switching time node falls precisely within the peak range of brightness anomaly changes, it indicates that a polarization reflection superposition effect may exist during that period. Furthermore, by combining this with the changing patterns of the production rhythm, it can be determined whether the occurrence of polarization reflection superposition is related to machine head movement, wire tension, or the repetitive rhythm of patterns. Through this multi-information fusion process, not only is the temporal correspondence between brightness anomaly distribution and illumination switching achieved, but a multi-dimensional temporal reference is also provided for the accurate identification of polarization reflection superposition areas.

[0032] After determining the overlap between the illumination switching cycle and the time interval of brightness anomalies, the key periods of polarization reflection overlap were extracted and confirmed. During extraction, the time axis was divided into continuous time segments, each segment containing the corresponding relationships between illumination state, polarization angle direction, exposure state, and production actions. Within each time segment, the time range of reflection overlap was determined by comparing the duration of the brightness anomaly peak change with the overlap ratio of the illumination switching cycle. When the brightness anomaly persists within a certain time segment and is synchronized with the polarization angle switching rhythm, that time segment can be identified as a polarization reflection overlap period. Subsequently, all identified polarization reflection overlap periods were arranged chronologically to form a reflection overlap time sequence. During this process, the illumination angle, polarization direction, and production rhythm segment corresponding to each overlap period were also recorded for subsequent time scale table construction. This step confirmed the time boundary of the polarization reflection overlap phenomenon, providing accurate time sequence input for the construction of the time scale table.

[0033] After obtaining the complete sequence of polarization reflection overlap periods, a time scale table is established based on the chronological order and used as the time reference for illumination adjustment. The time scale table uses the time axis as its core building block, marking each polarization reflection overlap period as a key time node, and simultaneously recording the corresponding illumination state, polarization direction, brightness anomaly amplitude, exposure stage, and production rhythm status. During the construction process, reference scales are inserted for the time intervals of different illumination switching cycles to identify the time distance and phase difference between each key node. To ensure that the time scale table reflects the true correspondence between illumination changes and brightness anomaly changes, the brightness anomaly distribution information generated in the previous stage is mapped one-to-one with the time nodes in the scale table, ensuring that each brightness anomaly interval has a clear location on the time axis. The final generated time scale table not only includes the time position of polarization reflection overlap but also records the illumination switching rhythm, polarization rotation direction, and production rhythm coordination. This time scale table is used as reference data in subsequent illumination control planning to guide the dynamic adjustment of polarization rotation sequence, exposure timing, and light source switching thresholds, achieving synchronous coordination between illumination and production rhythm.

[0034] Based on the time scale, the polarization rotation sequence and exposure timing are planned, the polarization adjustment amplitude, exposure pause point and light source switching threshold are determined, and a brightness compensation control draft is generated for execution control in the detection stage. In implementing the polarization rotation sequence and exposure timing based on a time-scale table, the entire process relies on the time-scale table. Through systematic operations such as adjusting the polarization angle rhythm, controlling exposure pauses, determining illumination switching thresholds, and generating a brightness compensation control draft, the coordination between illumination and imaging during the detection phase is achieved. This process centers on the matching relationship between time, illumination, and polarization, ensuring that brightness compensation accurately corresponds to the production rhythm and illumination changes on the time axis. The specific implementation steps are as follows: Based on the key periods of polarization reflection overlap recorded in the time scale table, the polarization rotation sequence is planned. The time scale table contains information such as illumination status, polarization direction, brightness variation range, and reflection duration for each key period. By longitudinally scanning the time scale table, the time periods during which the polarization angle needs adjustment within the same production cycle can be determined. Taking each key period as the center, the polarization direction change trends of the two preceding and following periods are compared to analyze the continuity of polarization reflection overlap and the rate of reflection change, thereby determining the starting angle, ending angle, and rotation sequence of polarization rotation. The polarization rotation sequence planning considers the continuity of illumination direction and the spatial consistency of sample reflection distribution, ensuring that the direction of polarization angle change corresponds to the direction of reflection change on the sample surface. The planning results form a continuous sequence of polarization rotation instructions, each sequence corresponding one-to-one with a specific time node in the time scale table, used to guide the angle adjustment process of the polarizer. The implementation of this step ensures that the polarization rotation sequence is synchronized with the illumination rhythm in the time dimension, achieving orderly connection of polarization angle adjustments.

[0035] After completing the polarization rotation sequence planning, the exposure sequence is planned based on the distribution of illumination changes and brightness anomalies in the time scale table. The exposure sequence planning uses the polarization rotation sequence as the time reference, ensuring that each exposure occurs during a stable phase of polarization angle change. By analyzing key time period data in the time scale table, the start and end times of each exposure cycle are determined, establishing a fixed proportional relationship between the exposure cycle and the polarization rotation cycle, ensuring that imaging is performed after the polarization angle reaches a stable position. To prevent uneven image grayscale caused by sudden brightness changes during exposure, exposure pauses are set before and after the polarization rotation angle change, allowing the imaging device to maintain a brief period of illumination stability after polarization angle adjustment before exposure, thereby capturing the most balanced brightness image. Each exposure pause point is synchronized with the illumination switching rhythm in the time scale table, ensuring temporal coordination between illumination state, polarization direction, and exposure period. This step creates a closed-loop correspondence between the polarization rotation time process and the exposure sequence execution process, laying the foundation for subsequent illumination adjustment and brightness compensation.

[0036] After planning the polarization rotation sequence and exposure timing, the light source switching threshold is determined based on the brightness variation range and illumination switching pattern in the time scale table. The light source switching threshold is a key parameter guiding the adjustment of illumination intensity and direction, and its setting directly affects the brightness balance of the image. By comparing the abnormal brightness peaks and reflective intensity variation ranges at different time intervals in the time scale table, the time regions most sensitive to illumination intensity changes are identified. Within these time regions, the light source switching threshold is set as a comprehensive reference value for the amplitude of brightness anomalies and the amplitude of polarization angle adjustment, ensuring that the illumination switching operation is completed before entering the brightness anomaly range, avoiding sudden brightness drops caused by reflective overlap. The determination of the light source switching threshold also considers the location of the exposure pause point, ensuring that the illumination switching process occurs during the exposure interval, preventing image brightness fluctuations caused by changes in the light source state during exposure. By setting the light source switching threshold in different time periods, a temporal distribution map of illumination changes is formed, ensuring that illumination adjustment is completely consistent with polarization rotation and exposure control in time, establishing a dynamic coordination relationship between illumination, polarization, and exposure.

[0037] After determining the polarization rotation sequence, exposure timing, and light source switching threshold, these three elements are integrated to generate a brightness compensation control draft. The brightness compensation control draft uses a time scale as its overall framework, arranging polarization angle adjustments, exposure cycles, and illumination switching thresholds in chronological order to form a continuous chain of control commands. This control draft details the correspondence between illumination state, polarization direction, exposure stage, and brightness adjustment amplitude within each time period. To ensure the spatial uniformity of the compensation effect, the polarization rotation sequence is correlated with the brightness distribution of the sample area, ensuring that changes in illumination intensity match the position of reflective areas, thus achieving dynamic balance in brightness compensation across all regions. The brightness compensation control draft not only specifies the time nodes but also the range of polarization angle adjustments, the duration of exposure pauses, and the triggering conditions for illumination switching, providing clear operational guidance for the entire control process. This draft serves as the execution basis during the detection phase, guiding the synchronous operation of polarization rotation and illumination adjustment, ensuring stable image brightness distribution and suppression of reflective interference under multi-angle illumination and multi-directional polarization conditions.

[0038] During the detection execution phase, illumination coordination adjustment is implemented in accordance with the brightness compensation control draft. Gray-scale compensation is performed through a collaborative approach of continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment to maintain image brightness balance within the imaging window and achieve full-process detection optimization. During the detection execution phase, the entire illumination coordination and adjustment process is based on the brightness compensation control draft, and revolves around three collaborative methods: continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment. By dynamically controlling the coordination between the illumination direction, polarization angle, and imaging framing position, the brightness distribution of each area within the imaging window is ensured to remain stable and balanced, thereby achieving consistent illumination and optimized image quality throughout the entire detection process. The specific implementation steps are as follows: At the start of the detection phase, the polarization angle is continuously rotated according to the time reference of the brightness compensation control draft. The execution of this rotation is based on the time nodes defined in the time scale table, and the polarization angle is gradually adjusted in each detection cycle according to the polarization rotation sequence planned in the draft. The polarization angle rotation process maintains a continuous and uniform angle change, without using fixed-interval jumps. Instead, it achieves a gradual switch in the polarization direction of the light through fine-step rotation, ensuring a smooth transition between the reflection direction and the incident angle of the polarized light illuminating the sample surface. This method creates a continuous polarization adjustment path between the reflective and non-reflective areas of the sample surface, reducing brightness flicker caused by abrupt angle changes. Simultaneously, during the polarization angle rotation process, the polarization rotation rate is synchronized with the exposure sequence of the detection equipment, ensuring that each change in polarization angle occurs during the non-acquisition period of the exposure cycle, thereby guaranteeing a stable polarization angle at the exposure time. This step ensures a dynamic match between the polarized light irradiation direction and the reflective state of the sample surface, providing optical stability conditions for subsequent exposure coordination.

[0039] Based on the stable operation of continuous polarization angle rotation, a half-cycle alternating exposure operation is performed. Half-cycle alternating exposure refers to dividing the exposure process into two alternating time stages within a complete polarization rotation cycle, ensuring that each stage of exposure corresponds to a phase difference with the change in polarization angle. According to the exposure sequence plan in the brightness compensation control draft, alternating exposures are performed when the polarization angle is in the rising and falling phases to capture image information under different polarization directions. The allocation of exposure time periods follows the illumination switching cycle defined in the time scale table, ensuring strict synchronization between exposure operation and illumination state transitions. During alternating exposure, exposure time, illumination intensity, and framing position remain consistent, ensuring complete spatial overlap of the images obtained from the two exposures. This half-cycle alternating method allows for the simultaneous acquisition of two sets of image information with different brightness distributions during the image acquisition stage, providing multi-dimensional illumination references for subsequent grayscale compensation. This step is coupled temporally with polarization rotation, coordinating the change in illumination direction with the execution of the exposure action, thereby avoiding the risk of single exposure interference from reflections and ensuring the continuity of imaging and illumination uniformity.

[0040] After completing continuous polarization angle alternation and half-cycle alternating exposure, a micro-positioning adjustment is performed. Micro-positioning adjustment involves subtly moving the viewfinder position within the imaging window to eliminate local reflection shifts caused by changes in the incident light direction. During this process, the viewfinder adjustment is executed based on the viewfinder synchronization parameters in the brightness compensation control draft, coordinated with the time nodes of illumination changes in the time scale. Whenever the polarization angle rotates to a new angle range or the light source switches, the viewfinder makes minute vertical and horizontal displacement adjustments within the imaging window plane to ensure that the acquired image field of view remains within the illumination equilibrium area. The magnitude of the micro-positioning adjustment is determined based on the illumination distribution characteristics, ensuring both a stable field of view and eliminating local shadows and highlights caused by changes in polarization angle. Through micro-positioning adjustment, spatial consistency is maintained in the image during continuous acquisition, avoiding grayscale shifts between multiple frames due to differences in incident angles. This step is performed synchronously with polarization alternation and alternating exposure; the three are coordinated on the time axis, forming the core of dynamic compensation.

[0041] After completing the coordinated operations of polarization rotation, alternating exposure, and micro-position adjustment, a grayscale compensation process is executed. Grayscale compensation is based on multiple sets of exposure images and polarization direction information acquired in the previous steps, adjusting exposure intensity and illumination balance in real time during the illumination coordination adjustment process. According to the brightness reference values ​​in the brightness compensation control draft, different exposure frames obtained from continuous polarization angle rotation are subjected to grayscale equalization processing to ensure that the imaging brightness distribution at each moment remains within the set range. The execution of grayscale compensation follows the temporal correspondence between illumination changes and polarization direction rotation, ensuring a gradual transition of illumination intensity during the critical period of polarization angle adjustment, avoiding brightness fluctuations. During grayscale compensation, spatial matching is also performed on each exposure frame based on the image position after micro-position adjustment, ensuring that grayscale adjustment is consistent not only in brightness but also in spatial position. After compensation, the brightness within the imaging window reaches an overall balanced state, the brightness transition between different areas is smooth, image details are clear, and reflection interference is eliminated, thereby achieving full-process optimization of the detection process. This step ensures that the imaging results remain balanced and consistent in both time and space under multi-angle illumination and multi-directional polarization conditions, providing stable and reliable image data input for the detection system.

[0042] This invention introduces a detection optimization mechanism based on a polarization-sensitive list throughout the personalized embroidery customization process, achieving dynamic closed-loop management from data acquisition to illumination control. This enables polarization detection to adaptively adjust in scenarios containing metal threads. By establishing a time scale table and a brightness compensation control draft, the polarization angle rotation, exposure sequence, and illumination switching are kept consistent, eliminating the problem of sudden brightness drops caused by polarization overlap. This effectively avoids false detections of dark spots and missed embroidery, improving the stability of the detection process and image quality.

[0043] This invention achieves synchronized optimization of light intensity, polarization direction, and imaging framing during the detection stage through coordinated control of illumination adjustment and grayscale compensation, ensuring brightness balance and image consistency under multi-angle imaging. This method improves the detection accuracy and production rhythm coordination of embroidered products containing metallic threads, realizes continuous data linkage between design, manufacturing, and detection stages, and enhances the reliability and consistency of automatic detection in personalized customization production.

[0044] This invention provides, for example Figure 2 The illustrated personalized embroidery customization end-to-end management system includes a polarization-sensitive identification module, a polarization imaging modeling module, a time-series mapping analysis module, a dynamic control planning module, and a brightness equalization compensation module. The polarization-sensitive identification module collects order data, pattern designs, thread type information, and process rhythm information throughout the personalized embroidery customization process. It analyzes the collected data, identifies the production batch corresponding to the metal thread, and generates a polarization-sensitive list for optimization preparation in the detection stage. The polarization imaging modeling module, based on the polarization sensitive list, performs multi-angle illumination and multi-directional polarization imaging during the sample stage, records the reflective brightness change data at each angle, generates a reflective overlap distribution map, extracts data of brightness anomaly areas, and forms brightness anomaly distribution information. The time-series mapping analysis module correlates and analyzes the abnormal brightness distribution information with the production rhythm information and the illumination switching cycle information to determine the key time periods when polarization reflection overlap occurs, establishes a time scale table, and forms an illumination adjustment time reference. The dynamic control planning module plans the polarization rotation sequence and exposure timing based on the time scale table, determines the polarization adjustment amplitude, exposure pause point and light source switching threshold, and generates a brightness compensation control draft for execution control during the detection stage. The brightness equalization compensation module implements illumination coordination adjustment according to the brightness compensation control draft during the detection execution phase. It performs grayscale compensation through a collaborative approach of continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment to maintain image brightness balance within the imaging window and achieve full-process detection optimization.

[0045] The present invention provides a personalized embroidery customization full-process management method, which is implemented through the above-mentioned personalized embroidery customization full-process management system. For details of the specific methods and processes of the personalized embroidery customization full-process management system, please refer to the above-mentioned embodiment of the personalized embroidery customization full-process management method, which will not be repeated here.

[0046] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for managing the entire process of personalized embroidery customization, characterized in that, Includes the following steps: Collect order data, pattern information, thread type information, and process rhythm information throughout the entire personalized embroidery customization process; analyze the collected data; identify the production batch corresponding to the metal thread; and generate a polarization-sensitive list. Based on the polarization-sensitive list, multi-angle illumination and multi-directional polarization imaging were performed during the sample stage to record the reflective brightness change data at each angle, generate a reflective overlap distribution map, extract data of brightness anomaly areas, and form brightness anomaly distribution information. By correlating and analyzing the information on abnormal brightness distribution with production rhythm information and illumination switching cycle information, the key time periods when polarization reflection overlap occurs are determined, a time scale table is established, and a time reference for illumination adjustment is formed. Based on the time scale, the polarization rotation sequence and exposure timing are planned, the polarization adjustment amplitude, exposure pause point and light source switching threshold are determined, and a brightness compensation control draft is generated. During the detection and execution phase, illumination coordination adjustment is implemented in accordance with the brightness compensation control draft. Gray-scale compensation is performed through a coordinated approach of continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment to maintain image brightness balance within the imaging window.

2. The personalized embroidery customization process management method according to claim 1, characterized in that, The steps for generating the polarization-sensitive list are as follows: Collect order data, pattern information, thread type information and process rhythm information throughout the entire process of personalized embroidery customization, and collect and store customer customization needs, product style numbers, stitch distribution, thread composition and process rhythm parameters in a unified manner. The collected data were subjected to hierarchical analysis and cross-comparison. The wire numbers in the pattern were mapped to the wire type information to extract the usage area of ​​the metal wire and determine its distribution range. Match wire distribution information with order information and process rhythm information to identify the allocation of metal wire in the production process, determine the corresponding production batch of metal wire, and generate wire feature tags. The identified production batch information is organized and reorganized to form a polarization-sensitive list, recording the metal wire type, optical reflection characteristics, pattern area used, and process rhythm parameters.

3. The personalized embroidery customization process management method according to claim 2, characterized in that, When creating the polarization-sensitive list, the correspondence between the light reflection characteristic parameters of the metal wire and the process rhythm parameters is recorded according to the production batch. The reflection characteristics of different metal wires are classified and labeled so that each record in the polarization-sensitive list corresponds to the specific pattern and wire type, which is used to guide the adjustment of the illumination direction and polarization angle in the subsequent testing stage.

4. The personalized embroidery customization process management method according to claim 2, characterized in that, The formation process of brightness anomaly distribution information is as follows: Based on the metal wire type, wire reflection characteristic parameters, pattern area distribution information and process rhythm characteristics recorded in the polarization sensitive list, a lighting angle layout scheme is constructed so that the lighting angle forms a combination distribution on the horizontal and vertical planes to achieve multi-angle coverage. Perform multi-directional polarization imaging according to the lighting angle layout scheme. Adjust the rotation direction of the polarizer sequentially with a fixed lighting angle as the reference, and collect and record the image brightness distribution at each angle. Data on reflective brightness variation under different illumination angles were recorded and collected to construct a multidimensional brightness matrix based on illumination angle, polarization direction and shooting time sequence, and reflective overlap distribution map was drawn. Data extraction and analysis are performed on the brightness anomaly areas in the reflection overlap distribution map to form brightness anomaly distribution information including brightness peak differences, illumination angle range, and polarization direction range.

5. The personalized embroidery customization process management method according to claim 4, characterized in that, In the process of drawing the reflection overlap distribution map, the brightness data under multi-angle illumination is spatially mapped according to the sample surface coordinates, and the regional distribution is formed with brightness intensity as the scale. When extracting the brightness abnormal area data, the brightness abnormal area is correlated with the wire number, pattern partition and process rhythm parameters in the polarization sensitive list.

6. The personalized embroidery customization process management method according to claim 4, characterized in that, The steps for generating the illumination adjustment time base are as follows: The time series information of abnormal brightness distribution is organized, and the time correspondence between the abnormal brightness distribution information and the production rhythm information is determined to identify the time intersection between abnormal reflection and process rhythm. The information on the illumination switching cycle is introduced and fused with the time distribution of brightness anomalies for analysis to identify the overlap between illumination changes and brightness anomalies, and the polarization reflection superposition relationship is determined in combination with the production rhythm change pattern. The overlap between the illumination switching cycle and the time interval of abnormal brightness is compared to extract the key time period of polarization reflection overlap and form a reflection overlap time series. A time scale table was established based on the polarization reflection overlap time series. Each period of polarization reflection overlap was marked as a key time node. The illumination status, polarization direction, brightness anomaly amplitude, exposure stage and production rhythm status were recorded to form an illumination adjustment time benchmark.

7. The personalized embroidery customization process management method according to claim 6, characterized in that, The time scale is built around the time axis as the core unit. It synchronously marks the illumination status, polarization direction, brightness anomaly amplitude, exposure stage and production rhythm status during the period of polarization reflection overlap. It also marks the time distance and phase difference between key nodes by inserting a time reference scale, so that the changes in illumination and brightness anomalies correspond to each other in the time dimension.

8. The personalized embroidery customization process management method according to claim 6, characterized in that, The steps for generating the brightness compensation control draft are as follows: The polarization rotation sequence is planned according to the key periods of polarization reflection overlap recorded in the time scale table. The starting angle, ending angle and rotation sequence of polarization rotation are determined by comparing the trend of polarization direction change, so that the polarization angle adjustment is synchronized with the lighting rhythm. Based on the distribution of illumination changes and brightness anomalies in the time scale table, the exposure sequence is planned, the exposure operation is performed during the polarization angle stabilization phase, and an exposure pause point is set to maintain illumination stability. Based on the brightness variation range and illumination switching pattern in the time scale table, the light source switching threshold is determined, and the illumination switching is completed before entering the abnormal brightness range, so that the illumination, polarization rotation and exposure control are consistent. The polarization rotation sequence, exposure timing, and light source switching threshold are integrated to generate a brightness compensation control draft, forming a time correspondence between illumination state, polarization direction, and exposure stage.

9. The personalized embroidery customization process management method according to claim 8, characterized in that, During the detection and execution phase, illumination coordination adjustment is implemented according to the brightness compensation control draft. The grayscale compensation steps are performed through a coordinated approach of continuous polarization angle alternation, half-cycle alternating exposure, and macro-position framing adjustment, as follows: The polarization angle is continuously rotated according to the time reference of the brightness compensation control draft, so that the polarization angle changes continuously and uniformly within the detection cycle, and the polarization rotation rate is synchronized with the exposure sequence to ensure the stability of the polarization angle. Based on the continuous rotation of polarization angle, a half-cycle alternating exposure operation is performed, with alternating exposure in the rising and falling segments of polarization angle to keep the exposure time synchronized with the illumination switching cycle and obtain image information under different polarization directions. After completing the continuous polarization angle alternation and half-cycle alternating exposure, a micro-positioning adjustment operation is performed, and micro-positioning is carried out in the vertical and horizontal directions within the imaging window plane to maintain illumination balance. After completing polarization rotation, alternating exposure, and micro-position adjustment, a grayscale compensation process is performed to equalize the grayscale of different exposure frames, so that the image brightness within the imaging window remains balanced.

10. A personalized embroidery customization end-to-end management system, used to implement the personalized embroidery customization end-to-end management method according to any one of claims 1-9, characterized in that, It includes a polarization sensitivity identification module, a polarization imaging modeling module, a time-series mapping analysis module, a dynamic control planning module, and a brightness equalization compensation module: The polarization-sensitive identification module collects order data, pattern designs, thread type information, and process rhythm information throughout the personalized embroidery customization process. It analyzes the collected data, identifies the production batch corresponding to the metal thread, and generates a polarization-sensitive list. The polarization imaging modeling module, based on the polarization sensitive list, performs multi-angle illumination and multi-directional polarization imaging during the sample stage, records the reflective brightness change data at each angle, generates a reflective overlap distribution map, extracts data of brightness anomaly areas, and forms brightness anomaly distribution information. The time-series mapping analysis module correlates and analyzes the abnormal brightness distribution information with the production rhythm information and the illumination switching cycle information to determine the key time periods when polarization reflection overlap occurs, establishes a time scale table, and forms an illumination adjustment time reference. The dynamic control planning module plans the polarization rotation sequence and exposure timing based on the time scale, determines the polarization adjustment amplitude, exposure pause point and light source switching threshold, and generates a brightness compensation control draft. The brightness equalization compensation module implements illumination coordination adjustment according to the brightness compensation control draft during the detection execution phase. It performs grayscale compensation through a coordinated approach of continuous polarization angle rotation, half-cycle alternating exposure, and micro-position framing adjustment to maintain image brightness equalization within the imaging window.

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