Process procedure management method and device for garment production
Through pin recognition and video distribution methods, the problem of inefficient production efficiency caused by failure to fully utilize factory employee resources in the prior art is solved, and efficient learning of process processes and improvement of production efficiency is achieved.
Patent Information
- Application Number
- CN202510084195.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-05-13
AI Technical Summary
The current process video recording in the clothing manufacturing industry mainly relies on team leaders or administrators, and fails to make full use of the resources of other factory employees, resulting in low production efficiency.
By receiving multiple initial pictures uploaded by different employees, pin recognition is performed, target pictures are determined and target videos are obtained, and the video is then sent to multiple display devices corresponding to the target process.
It realizes the full utilization of factory employee resources, improves the efficiency of clothing production, and allows factory employees to learn process processes more efficiently and conveniently.
Smart Images
Figure CN119990642A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of clothing production, and in particular to a process management method and device for clothing production. Background Art
[0002] In a modern production environment, especially in the garment manufacturing industry, production efficiency and product quality are crucial. In order to improve production efficiency and product quality, many garment factories have begun to use process video learning to assist production. The existing standard process videos are usually recorded by team leaders or administrators.
[0003] However, if only the team leader or administrator is responsible for recording the teaching video, it will cause a waste of resources of other factory employees and fail to fully utilize the resources of other factory employees (such as not using the videos of skilled employees as teaching videos, etc.), which will cause this method to rely too much on the manual labor of the team leader and administrator, resulting in low production efficiency. Summary of the invention
[0004] In order to solve the problem of low production efficiency caused by failure to fully utilize the resources of other factory employees mentioned above, the embodiment of the present application provides a process management method and device for clothing production, and its technical solution is as follows: In a first aspect, an embodiment of the present application provides a process management method for garment production, comprising: receiving at least two initial images corresponding to the target process and performing pin recognition on all the initial images; Determine the target image based on the result of pin recognition, and obtain the target video to which the target image belongs; The target video is sent to at least two display devices corresponding to the target process.
[0005] In an optional solution of the first aspect, performing stitch recognition on all initial images includes: Calculate the number of pins in each initial image and the coordinates of each pin based on a preset algorithm; The distance between adjacent pins is calculated according to the coordinates of each pin, and the pin distance array of each initial image is obtained.
[0006] In yet another optional solution of the first aspect, determining a target image according to a result of stitch recognition includes: When it is identified that the number of stitches of the initial image is consistent with the number of stitches of the preset standard image, the initial image is regarded as a semi-qualified image; The variance of the needle distance array of the semi-qualified image is calculated, and when it is identified that the variance is less than a standard threshold, the semi-qualified image is used as a target image; wherein the standard threshold is obtained by a preset standard image.
[0007] In another optional solution of the first aspect, after obtaining the target video to which the target picture belongs, the method further includes: When the presence of a pre-video is identified, a process video is determined according to the pre-video and the target video, and the process video is sent to at least two display devices corresponding to the target process; wherein the upload time of the pre-video is earlier than the upload time of the target video; When it is identified that there is no pre-video, the target video is sent to at least two display devices corresponding to the target process.
[0008] In another optional solution of the first aspect, determining the process video according to the pre-video and the target video includes: When it is detected that the duration of the target video is shorter than that of the previous video, the target video is used as the process video; When it is detected that the duration of the target video is greater than or equal to the preceding video, the preceding video is used as the process video.
[0009] In another optional solution of the first aspect, after sending the target video to at least two display devices corresponding to the target process, the method further includes: Receive help requests and determine the workstation number, process number and guidance direction based on the help requests; Get the corresponding guidance video according to the process number and guidance direction; The instruction video is sent to the display device corresponding to the workstation number.
[0010] In another optional solution of the first aspect, after sending the target video to at least two display devices corresponding to the target process, the method further includes: When it is detected that the instruction video corresponding to the help request does not exist, a help notification is sent to the administrator so that the administrator can provide on-site help in a timely manner; Record an administrator's on-site help video as a guide video corresponding to the help request.
[0011] In a second aspect, an embodiment of the present application provides a process management device for garment production, comprising: A first processing module is used to receive at least two initial images corresponding to a target process and perform stitch recognition on all the initial images; The second processing module is used to determine the target image according to the result of the pin recognition, and obtain the target video to which the target image belongs; The third processing module is used to send the target video to at least two display devices corresponding to the target process.
[0012] In a third aspect, an embodiment of the present application further provides a process management device for garment production, comprising a processor and a memory; The processor is connected to the memory; A memory for storing executable program codes; The processor runs the program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the process management method for clothing production provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect.
[0013] In a fourth aspect, an embodiment of the present application provides a computer storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, the process flow management method for clothing production provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect can be implemented.
[0014] The beneficial effects brought by the technical solutions provided by some embodiments of this specification include at least: In the process of process management for clothing production, by receiving multiple initial pictures corresponding to the target process from different employees, and then determining the target picture by pin recognition of the initial picture, the most suitable target video for teaching reference belonging to the target picture is obtained, and the target video is sent to the display device at the workstation corresponding to the target process, so that factory employees can learn the process more efficiently and conveniently, thereby fully utilizing the factory employee resources and achieving the purpose of improving clothing production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0016] Figure 1 An overall flow chart of a process management method for garment production provided in an embodiment of the present application; Figure 2 An overall flow chart of another method for managing a process flow of garment production provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a process management device for garment production provided in an embodiment of the present application; Figure 4 A schematic diagram of the structure of another process management device for clothing production provided in an embodiment of the present application. DETAILED DESCRIPTION
[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0018] In the following introduction, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments recorded. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, although the embodiment may not be clearly recorded in the following text.
[0019] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present application. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described in some examples may be combined in other examples.
[0020] See also Figure 1 , Figure 1 An overall flow chart of a process management method for garment production provided by an embodiment of the present application is shown.
[0021] like Figure 1 As shown, the process management method for garment production may include at least the following steps: Step 101: Receive at least two initial images corresponding to a target process, and perform stitch recognition on all the initial images.
[0022] In the embodiment of the present application, the process management method for garment production can be applied to, but is not limited to, a process management platform. In the process management process for garment production, multiple initial images corresponding to the target process uploaded by different employees are received, and then the target image is determined by pin recognition of the initial image, so as to obtain the target video that is most suitable for teaching reference, and send the target video to the display device at the workstation corresponding to the target process, so that the factory employees can learn the process more efficiently and conveniently, so as to make full use of the factory employee resources and achieve the purpose of improving the efficiency of garment production.
[0023] Specifically, in the process of managing the process of garment production, at least two initial pictures uploaded by factory employees can be received first. It is understandable that factory employees will record the process they are responsible for during the production process, and each process has a corresponding standard picture, which contains the stitch distribution of a certain garment part corresponding to the process. Therefore, factory employees can take pictures of the corresponding garment parts in the standard pictures, and then upload the pictures containing the stitches sewn by the employee, that is, the initial pictures, to the process management platform through the display device at the employee's workstation.
[0024] Furthermore, after receiving the initial image, the initial image can be subjected to stitch recognition through a target detection algorithm (such as the YOLO series algorithm) to identify all stitches and their positions on the initial image, and then the number of stitches on the initial image and the coordinates of each stitch can be obtained.
[0025] As an option of the embodiment of the present application, pin recognition is performed on all initial images, including: Calculate the number of pins in each initial image and the coordinates of each pin based on a preset algorithm; The distance between adjacent pins is calculated according to the coordinates of each pin, and the pin distance array of each initial image is obtained.
[0026] Specifically, in the process of stitch recognition in the initial image, the image data containing the stitches can be collected and labeled first, and the position and category of each stitch (if there are multiple types of stitches) can be marked. The labeled data can then be divided into a training set, a test set, and a validation set for subsequent training and testing of the algorithm model.
[0027] Next, a stitch recognition model can be established through the YOLO algorithm framework (such as YOLOv3, YOLOv4 or YOLOv5, etc.), and the model's hyperparameters (such as grid size, number of anchor boxes, etc.) can be adjusted according to the requirements of stitch detection (the number of stitches and stitch coordinates need to be identified, etc.), so that the model can be trained using the training set data until the model achieves satisfactory performance on the validation set.
[0028] After that, the trained model can be used to infer the initial image to obtain the location and category information of the stitches, and then the number of stitches can be counted and the coordinates of each stitch can be obtained based on the output information.
[0029] After obtaining the coordinates of each stitch, the distances between adjacent stitches can be calculated using the Euclidean distance formula, and all calculated distances can be integrated into an array for storage, thereby obtaining the stitch distance array of each initial image.
[0030] Step 102: determine the target image according to the result of the pin recognition, and obtain the target video to which the target image belongs.
[0031] Specifically, after the stitch recognition is performed on the initial image, the target image can be determined according to the stitch recognition result, wherein the stitch recognition result may include but is not limited to the number of stitches, stitch spacing array, and stitch shape (straight line or sawtooth, etc.). For example, when the stitch recognition result is: the stitch shape of the initial image is straight line, the initial image can be determined to be the target image; when the stitch recognition result is: the stitch shape of the initial image is sawtooth, the initial image can be considered not to be the target image.
[0032] Further, after the target image is determined, the target video to which the target image belongs can be obtained in the following two ways, but is not limited to: (1) Database index: Create database indexes for videos and images, and these indexes contain the association information between them (such as the correspondence between video ID and image ID), so that the corresponding video can be found through the index information of the image; (2) File naming or path rules: Specific file naming or path rules are used to store videos and images, and these rules contain some kind of association between them (such as the same identifier in the file name), so that the corresponding video can be obtained by analyzing the file naming or path.
[0033] As another option of the embodiment of the present application, determining the target image according to the result of the pin recognition includes: When it is identified that the number of stitches of the initial image is consistent with the number of stitches of the preset standard image, the initial image is regarded as a semi-qualified image; The variance of the needle distance array of the semi-qualified image is calculated, and when it is identified that the variance is less than a standard threshold, the semi-qualified image is used as a target image; wherein the standard threshold is obtained by a preset standard image.
[0034] Specifically, in the process of determining the target image based on the results of stitch recognition, when it is identified that the number of stitches of the initial image is the same as the number of stitches of the preset standard image, it means that the initial image meets one of the two conditions for being selected as the target image. The initial image can be regarded as a semi-qualified image and continue to be judged for another condition.
[0035] Next, the variance of the stitch array of all semi-qualified images can be calculated to determine whether the stitches are neat. When it is identified that the variance is less than the standard threshold, it means that the stitch neatness meets the standard. Therefore, the semi-qualified image can be selected as the target image.
[0036] It should be noted that the preset standard image can be provided by a team leader or administrator, or selected by voting of factory employees; the standard threshold can be obtained by pin recognition and calculation of the preset standard image, or it can be formulated by the team leader or administrator based on relevant regulations or historical experience.
[0037] Step 103: Send the target video to at least two display devices corresponding to the target process.
[0038] Specifically, after the target video is acquired, the target video may be sent to display devices on at least two workstations corresponding to the target process, so that the factory staff responsible for the target process can learn the target process according to the target video.
[0039] It is worth noting that in the clothing production process, one process may be completed by multiple employees at multiple workstations. Therefore, a target video needs to be provided to multiple employees responsible for a target process for viewing, that is, it needs to be sent to display devices at multiple workstations.
[0040] As another option of the embodiment of the present application, after obtaining the target video to which the target image belongs, the method further includes: When the presence of a pre-video is identified, a process video is determined according to the pre-video and the target video, and the process video is sent to at least two display devices corresponding to the target process; wherein the upload time of the pre-video is earlier than the upload time of the target video; When it is identified that there is no pre-video, the target video is sent to at least two display devices corresponding to the target process.
[0041] Specifically, after obtaining the target video to which the target image belongs, the pre-video can also be identified, wherein the pre-video refers to the previous target video uploaded earlier than the target video. It can be understood that if a factory employee uploads pictures and videos of the same process for the non-first time, and the picture is selected as the target picture, the video is the target video. However, since there is a pre-video, and only one video of the same process can be sent, it is necessary to select a more suitable one from the pre-video and the target video for sending. Therefore, when it is identified that there is a pre-video, the process video can be determined based on the pre-video and the target video (such as determined by parameters such as video duration or video clarity), and the process video can be sent to at least two display devices corresponding to the target process. At the same time, when it is identified that there is no pre-video, the acquired target video can be sent to at least two display devices corresponding to the target process.
[0042] As another option of the embodiment of the present application, determining the process video according to the previous video and the target video includes: When it is detected that the duration of the target video is shorter than that of the previous video, the target video is used as the process video; When it is detected that the duration of the target video is greater than or equal to the preceding video, the preceding video is used as the process video.
[0043] Specifically, in the process of determining the process video based on the pre-video and the target video, the process video that needs to be issued can be determined by comparing the duration of the target video with the pre-video. When the duration of the target video is less than that of the pre-video, it means that the target video is more concise, allowing factory employees to learn the target process in a shorter time, so the target video can be used as the process video; when the duration of the target video is greater than or equal to that of the pre-video, it means that the target video is relatively long and is not suitable as a process video for factory employees to learn, which can easily lead to a decrease in the work efficiency of factory employees. Therefore, the pre-video can be used as the process video.
[0044] As another option of the embodiment of the present application, after sending the target video to at least two display devices corresponding to the target process, the method further includes: Receive help requests and determine the workstation number, process number and guidance direction based on the help requests; Get the corresponding guidance video according to the process number and guidance direction; The instruction video is sent to the display device corresponding to the workstation number.
[0045] Specifically, after the target video is sent to at least two display devices corresponding to the target process, if the factory employee encounters a problem in the process of completing the process, he can send a help request to the process management platform through the display device at the workstation. When the process management platform receives the help request, it can determine which display device the request comes from and the direction of the request based on the help request, and then determine the workstation number of the factory employee who issued the help request and the process number he is responsible for based on the device information, wherein the help request at least includes the number of the display device that issued the request, and the device information can include but is not limited to the number of the display device, the workstation number corresponding to the display device, and the process number.
[0046] Next, the video corresponding to the process number can be searched on the process management platform according to the process number, and the video corresponding to the guidance direction can be selected as the guidance video, and then the guidance video can be sent to the display device corresponding to the work station number, so that factory employees who have issued a help request can get help in time without having to rely too much on the on-site guidance of the team leader or administrator, saving labor costs and time, and improving the efficiency of clothing production.
[0047] It should be noted that in addition to storing target videos for process teaching, the process management platform also stores instructional videos or corresponding graphic information containing easy-to-make mistakes and difficult points in the process of completing the process. These instructional videos or graphic information can be, but are not limited to, compiled by team leaders, administrators or skilled employees based on work experience.
[0048] As another option of the embodiment of the present application, after sending the target video to at least two display devices corresponding to the target process, the method further includes: When it is detected that the instruction video corresponding to the help request does not exist, a help notification is sent to the administrator so that the administrator can provide on-site help in a timely manner; Record an administrator's on-site help video as a guide video corresponding to the help request.
[0049] Specifically, when a factory employee encounters a problem while completing a process and sends a help request to the process management platform, when it is detected that the instruction video corresponding to the help request does not exist, it means that manual guidance is required at this time, so a help notification is sent to the administrator so that the administrator or team leader can provide on-site assistance at the employee's workstation in time.
[0050] Next, when the administrator or team leader provides on-site guidance, the solution to the problem can be reused by recording the administrator's or team leader's on-site help video as the guidance video corresponding to the help request, so that other employees who encounter the same problem in the future can get timely help through the process management platform, thereby improving production efficiency.
[0051] See also Figure 2 , Figure 2 An overall flow chart of another method for managing a process flow for garment production provided in an embodiment of the present application is shown.
[0052] like Figure 2 As shown, employee 1 uploads a photo of the process he is responsible for to the process management platform through the screen on the workstation, and then the process management platform identifies the stitches in the photo to obtain the number of stitches and stitch coordinates, and obtains the stitch distance of adjacent stitches based on the stitch coordinates, thereby calculating the stitch distance variance. After that, the photo can be judged whether it is qualified based on the number of stitches and the stitch distance variance. If the number of stitches is consistent with the preset standard picture and the stitch distance variance is less than the standard threshold, the photo is judged to be qualified, and the corresponding process video on the employee's screen can be obtained. Otherwise, the photo is judged to be unqualified and the process video of the employee is not obtained.
[0053] If other employees in the same process think that their own process is better after studying the process video, they can also perform the above operations to upload photos of their completed processes and the corresponding process videos. However, except for the first time uploading the process video, when the employee uploads the video subsequently, the process needs to add a judgment of the length of the process video. Only when the length of the subsequently uploaded process video is less than the previous optimal process video (that is, the current latest process video) will the process video be updated and the new process video will be sent to the workstation screen of the same process. Otherwise, the process video will not be updated. That is, the process video recorded by subsequent employees must not only meet the qualified standards, but also be shorter in length than the previously uploaded process video to become the new optimal process video.
[0054] See also Figure 3 , Figure 3 A schematic structural diagram of a process management device for garment production provided in an embodiment of the present application is shown.
[0055] like Figure 3 As shown, the process management device for garment production may include at least a first processing module 301, a second processing module 302 and a third processing module 303, wherein: The first processing module 301 is used to receive at least two initial images corresponding to the target process and perform stitch recognition on all the initial images; The second processing module 302 is used to determine the target image according to the result of the pin recognition, and obtain the target video to which the target image belongs; The third processing module 303 is used to send the target video to at least two display devices corresponding to the target process.
[0056] In some possible embodiments, pin recognition is performed on all initial images, including: The first processing module 301 is specifically used for: Calculate the number of pins in each initial image and the coordinates of each pin based on a preset algorithm; The distance between adjacent pins is calculated according to the coordinates of each pin, and the pin distance array of each initial image is obtained.
[0057] In some possible embodiments, determining a target image according to a result of stitch recognition includes: The second processing module 302 is specifically used for: When it is identified that the number of stitches of the initial image is consistent with the number of stitches of the preset standard image, the initial image is regarded as a semi-qualified image; The variance of the needle distance array of the semi-qualified image is calculated, and when it is identified that the variance is less than a standard threshold, the semi-qualified image is used as a target image; wherein the standard threshold is obtained by a preset standard image.
[0058] In some possible embodiments, after obtaining the target video to which the target picture belongs, the method further includes: The third processing module 303 is specifically used for: When the presence of a pre-video is identified, a process video is determined according to the pre-video and the target video, and the process video is sent to at least two display devices corresponding to the target process; wherein the upload time of the pre-video is earlier than the upload time of the target video; When it is identified that there is no pre-video, the target video is sent to at least two display devices corresponding to the target process.
[0059] In some possible embodiments, determining a process video according to a pre-video and a target video includes: The third processing module 303 is specifically used for: When it is detected that the duration of the target video is shorter than that of the previous video, the target video is used as the process video; When it is detected that the duration of the target video is greater than or equal to the preceding video, the preceding video is used as the process video.
[0060] In some possible embodiments, after sending the target video to at least two display devices corresponding to the target process, the method further includes: The third processing module 303 is specifically used for: Receive help requests and determine the workstation number, process number and guidance direction based on the help requests; Get the corresponding guidance video according to the process number and guidance direction; The instruction video is sent to the display device corresponding to the workstation number.
[0061] In some possible embodiments, after sending the target video to at least two display devices corresponding to the target process, the method further includes: The third processing module 303 is specifically used for: When it is detected that the instruction video corresponding to the help request does not exist, a help notification is sent to the administrator so that the administrator can provide on-site help in a timely manner; Record an administrator's on-site help video as a guide video corresponding to the help request.
[0062] See also Figure 4 , Figure 4 A schematic structural diagram of another process management device for garment production provided in an embodiment of the present application is shown.
[0063] like Figure 4As shown, the process management device 400 for garment production may include at least one processor 401 , at least one network interface 404 , a user interface 403 , a memory 405 and at least one communication bus 402 .
[0064] The communication bus 402 may be used to realize the connection and communication among the above-mentioned components.
[0065] The user interface 403 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.
[0066] The network interface 404 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, etc.
[0067] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect the various parts of the entire process management device 400 for clothing production, and executes various functions and processes data of the process management device 400 for clothing production by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in at least one hardware form of DSP, FPGA, and PLA. The processor 401 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 401, and it can be implemented by a single chip.
[0068] The memory 405 may include a RAM or a ROM. Optionally, the memory 405 includes a non-transitory computer-readable medium. The memory 405 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 405 may optionally be at least one storage device located away from the aforementioned processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a process management application for garment production.
[0069] Specifically, the processor 401 may be used to call the process management application for garment production stored in the memory 405, and specifically perform the following operations: receiving at least two initial images corresponding to the target process and performing pin recognition on all the initial images; Determine the target image based on the result of pin recognition, and obtain the target video to which the target image belongs; The target video is sent to at least two display devices corresponding to the target process.
[0070] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.
[0071] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.
[0072] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0073] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.
[0074] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0075] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0076] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.
[0077] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct related hardware, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.
[0078] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of the implementation scheme of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.
Claims
1. A process management method for garment production, characterized in that: include: receiving at least two initial images corresponding to a target process, and performing stitch recognition on all the initial images; Determine a target image according to the result of the pin recognition, and obtain a target video to which the target image belongs; The target video is sent to at least two display devices corresponding to the target process.
2. The method according to claim 1, characterized in that The pin identification of all the initial images includes: Calculate the number of stitches in each of the initial images and the coordinates of each stitch based on a preset algorithm; The distance between adjacent stitches is calculated according to the coordinates of each stitch, and the stitch distance array of each initial image is obtained.
3. The method according to claim 2, characterized in that Determining a target image according to the result of the pin recognition includes: When it is identified that the number of stitches of the initial image is consistent with the number of stitches of the preset standard image, the initial image is regarded as a semi-qualified image; The variance of the needle distance array of the semi-qualified picture is calculated, and when it is identified that the variance is less than a standard threshold, the semi-qualified picture is used as a target picture; wherein the standard threshold is obtained by the preset standard picture.
4. The method according to claim 1, characterized in that: After obtaining the target video to which the target image belongs, the method further includes: When the presence of a pre-video is identified, a process video is determined according to the pre-video and the target video, and the process video is sent to at least two display devices corresponding to the target process; wherein the upload time of the pre-video is earlier than the upload time of the target video; When it is identified that the pre-video does not exist, the target video is sent to at least two display devices corresponding to the target process.
5. The method according to claim 4, characterized in that The step of determining the process video according to the pre-video and the target video includes: When it is detected that the duration of the target video is shorter than that of the pre-video, the target video is used as the process video; When it is detected that the duration of the target video is greater than or equal to that of the preceding video, the preceding video is used as the process video.
6. The method according to claim 1, characterized in that After sending the target video to at least two display devices corresponding to the target process, the method further includes: Receive a help request, and determine a workstation number, a process number, and a guidance direction according to the help request; According to the process number and the guidance direction, obtain a corresponding guidance video; The instruction video is sent to a display device corresponding to the workstation number.
7. The method according to claim 6, characterized in that After sending the target video to at least two display devices corresponding to the target process, the method further includes: When it is detected that the instruction video corresponding to the help request does not exist, a help notification is sent to the administrator so that the administrator can provide on-site help in a timely manner; An on-site help video of the administrator is recorded as a guidance video corresponding to the help request.
8. A process management device for garment production, characterized in that: include: A first processing module, configured to receive at least two initial images corresponding to a target process, and perform stitch recognition on all the initial images; A second processing module is used to determine a target image according to the result of the pin recognition, and obtain a target video to which the target image belongs; The third processing module is used to send the target video to at least two display devices corresponding to the target process.
9. A process management device for garment production, characterized in that: including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 7.