Cloth cutting control method and system applied to automatic cutting bed and electronic equipment

Abstract

The application provides a cloth cutting control method, system and electronic equipment applied to an automatic cutting bed. The method comprises the following steps: obtaining a base cutting instruction mark by acquiring a layout paper image after the cloth is covered by a film; acquiring an image of the layout paper in a target cutting area at a next time step in sequence and continuously during the process of cutting the cloth to obtain a cutting instruction mark to be adopted; determining a coarse-grained image error rate of the cutting instruction mark to be adopted; if the coarse-grained image error rate is lower than a set value, controlling a cutter to work by using cutter control parameters determined based on the cutting instruction mark to be adopted at the next time step; if the coarse-grained image error rate is not lower than the set value, determining a fine-grained image error rate of the cutting instruction mark to be adopted to optimize the cutter control parameters, and controlling the cutter to work by using the optimized cutter control parameters at the next time step. The system comprises function modules for realizing the above steps. The electronic equipment realizes the method when a processor executes a computer program stored in a memory. The application can solve the problem that the cutting precision of an existing automatic cutting bed based on machine vision is easily affected by the phenomenon of film flatness reduction occurring in the cutting process.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of cloth cutting quality optimization, and more particularly, relates to a cloth cutting control method and system applied to an automatic cutting bed and an electronic device. BACKGROUND

[0002] The automatic cutting bed is an automatic device for cutting cloth to obtain a cutting piece. In the related art, the cloth cutting process of an automatic cutting bed based on machine vision is as follows:

[0003] After the cloth to be cut is laid on the cutting table of the automatic cutting bed, a film covering device is used to cover the cloth to fix the cloth on the cutting table, wherein, before vacuumizing between the cloth and the film, the layout drawing is arranged on the lower surface of the film with the front face upward, and after vacuumizing between the cloth and the film, the cutting line shown on the layout drawing is mapped on the cloth in a flat manner.

[0004] In the process of formally performing the cloth cutting task, the image acquisition device of the automatic cutting bed sequentially and continuously acquires the image of the layout drawing in the target cutting area at the next time step, the controller of the automatic cutting bed acquires the corresponding cutting line according to the image sent by the image acquisition device, determines the cutting angle control parameter and the running direction control parameter according to the cutting line, and realizes the accurate control of the cutting knife at the next time step together with the pre-set cutting depth control parameter and cutting speed control parameter, thereby realizing the cloth cutting.

[0005] However, in actual cutting, due to the factors such as the force of the cutting knife, the cutting speed, the elasticity of the cloth itself and the complexity of the cutting path, the film originally in a flat state may be wrinkled or deformed, and the unevenness of the film will cause the layout drawing to be distorted, thereby causing the cutting line finally acquired by the controller to deviate from the cutting line originally shown on the layout drawing, resulting in low precision of the cutting piece obtained by cutting, and even being scrapped due to being unable to use. SUMMARY

[0006] The present application aims to solve the problem that the cutting precision of the existing automatic cutting bed based on machine vision is easily affected by the phenomenon of reduction of film flatness occurring in the cutting process.

[0007] In order to achieve the above-mentioned purpose, the present application provides a cloth cutting control method and system applied to an automatic cutting bed and an electronic device.

[0008] According to a first aspect of the present application, a cloth cutting control method applied to an automatic cutting bed is provided, which comprises the following steps:

[0009] After the cloth to be cut is covered by the film provided with the layout paper on the lower surface, an image of the layout paper is acquired, and a graphical reference cutting instruction mark on the layout paper is acquired according to the image;

[0010] In the process of performing the cloth cutting task, an image of the layout paper in the target cutting area at the next time step is acquired in sequence and continuously, and a cutting instruction mark to be adopted is acquired according to the image;

[0011] The coarse-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part is determined, and if the coarse-grained image error rate is lower than a set value, the pre-acquired cutting tool control parameter determined based on the cutting instruction mark to be adopted is used to control the cutting tool to work at the next time step,

[0012] If the coarse-grained image error rate is not lower than the set value, the fine-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part is determined, the cutting tool control parameter is optimized according to the fine-grained image error rate, and the optimized cutting tool control parameter is used to control the cutting tool to work at the next time step.

[0013] Optionally, the reference cutting instruction mark includes a cutting line and a cutting positioning mark.

[0014] Optionally, the determination of the coarse-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part includes:

[0015] The first camera shooting parameter used when collecting the complete layout paper image and the second camera shooting parameter used when collecting the layout paper image located in the corresponding target cutting area are acquired;

[0016] The cutting instruction mark to be adopted and the reference cutting instruction mark under the same camera shooting parameter are acquired according to the first camera shooting parameter and the second camera shooting parameter;

[0017] The cutting instruction mark to be adopted and the reference cutting instruction mark under the same camera shooting parameter are subjected to first-granularity pixelization processing, and the coarse-grained image error rate is determined by using an image similarity determination method based on pixel comparison.

[0018] Optionally, the determination of the fine-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part includes:

[0019] The first camera shooting parameter used when collecting the complete layout paper image and the second camera shooting parameter used when collecting the layout paper image located in the corresponding target cutting area are acquired;

[0020] Obtain the optical property parameters of the thin film;

[0021] Based on the first camera's image capture parameters, the second camera's image capture parameters, and the optical property parameters of the thin film, obtain the proposed cutting indicator mark and the reference cutting indicator mark under the same camera's image capture parameters;

[0022] The proposed cropping indicator and the baseline cropping indicator under the same camera shooting parameters are pixelated at a second granularity, and the fine-grained image error rate is determined by an image similarity determination method based on pixel comparison, wherein the second granularity is smaller than the first granularity.

[0023] Optionally, the optical properties of the thin film include its diffuse reflectance and specular reflectance.

[0024] Optionally, the cutter control parameters include cutting angle control parameters and travel direction control parameters.

[0025] According to a second aspect of the present invention, a fabric cutting control system for use in an automatic cutting bed is provided, the fabric cutting control system comprising the following functional modules:

[0026] The reference cutting indicator mark acquisition module is used to acquire an image of the layout drawing after the fabric to be cut is covered by a film with a layout drawing set on its lower surface, and to acquire the graphical reference cutting indicator mark on the layout drawing based on the image.

[0027] A cutting indicator mark acquisition module is proposed to acquire images of the layout drawing in the target cutting area at the next time step sequentially and continuously during the fabric cutting task, and to acquire the corresponding cutting indicator mark based on the image.

[0028] The cutting blade control module is used to determine the coarse-grained image error rate of the proposed cutting indicator mark relative to the reference cutting indicator mark of the corresponding part. If the coarse-grained image error rate is lower than a set value, the cutting blade is controlled to operate using pre-acquired cutting blade control parameters determined based on the proposed cutting indicator mark in the next time step.

[0029] If the coarse-grained image error rate is not lower than a set value, then the fine-grained image error rate of the proposed cutting indicator relative to the reference cutting indicator of the corresponding part is determined, the cutting blade control parameters are optimized according to the fine-grained image error rate, and the cutting blade is controlled to work using the optimized cutting blade control parameters in the next time step.

[0030] Optionally, determining the coarse-grained image error rate of the proposed cropping indicator relative to the reference cropping indicator of the corresponding portion includes:

[0031] acquire the first camera shooting parameter used when collecting the complete layout paper image and the second camera shooting parameter used when collecting the image of the layout paper located in the corresponding target cutting area;

[0032] acquire the tentative cutting indication mark and the reference cutting indication mark under the same camera shooting parameter according to the first camera shooting parameter and the second camera shooting parameter;

[0033] perform the pixelization processing of the tentative cutting indication mark and the reference cutting indication mark under the same camera shooting parameter at a first granularity, and determine the coarse-grained image error rate by using the image similarity determination method based on pixel comparison.

[0034] As an option, the determination of the fine-grained image error rate of the tentative cutting indication mark relative to the reference cutting indication mark of the corresponding part includes:

[0035] acquire the first camera shooting parameter used when collecting the complete layout paper image and the second camera shooting parameter used when collecting the image of the layout paper located in the corresponding target cutting area;

[0036] acquire the optical characteristic parameter of the film;

[0037] acquire the tentative cutting indication mark and the reference cutting indication mark under the same camera shooting parameter according to the first camera shooting parameter, the second camera shooting parameter and the optical characteristic parameter of the film;

[0038] perform the pixelization processing of the tentative cutting indication mark and the reference cutting indication mark under the same camera shooting parameter at a second granularity, and determine the fine-grained image error rate by using the image similarity determination method based on pixel comparison, the second granularity being smaller than the first granularity.

[0039] According to a third aspect of the present application, an electronic device is provided, which includes a processor and a memory, the processor implements any of the above-mentioned layout cutting control methods applied to an automatic cutting bed when executing a computer program stored in the memory.

[0040] The present application has the following advantages:

[0041] The cloth cutting control method applied to the automatic cutting bed can detect the distortion of the material drawing paper caused by the unevenness of the film by determining the coarse-grained image error rate of the cutting instruction mark relative to the reference cutting instruction mark of the corresponding part; when the coarse-grained image error rate of the cutting instruction mark is not less than a set value, the fine-grained image error rate of the cutting instruction mark is determined, the cutting tool control parameters are optimized according to the fine-grained image error rate, and the optimized cutting tool control parameters are used to control the cutting tool. Therefore, the cloth cutting control method applied to the automatic cutting bed can effectively solve the problem that the cutting precision of the existing automatic cutting bed based on machine vision is easily affected by the reduction of the film flatness during the cutting process.

[0042] The cloth cutting control system and electronic device applied to the automatic cutting bed according to the present application belong to one general inventive concept and have at least the same beneficial effects as the cloth cutting control method applied to the automatic cutting bed, and the beneficial effects will not be described here.

[0043] Other features and advantages of the present application will be described in detail in the following specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0044] The present application can be better understood by reference to the following description taken in conjunction with the accompanying drawings, in which like reference numerals are used to indicate identical or similar components in the various views.

[0045] Figure 1 An implementation flowchart of the cloth cutting control method applied to the automatic cutting bed according to an embodiment of the present application is shown;

[0046] Figure 2 A structural block diagram of the cloth cutting control system applied to the automatic cutting bed according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0047] In order for those skilled in the art to more fully understand the technical solutions of the present application, the following will describe the exemplary embodiments of the present application in more detail and comprehensively with reference to the accompanying drawings. Obviously, one or more of the following described embodiments of the present application are only one or more of the specific ways in which the technical solutions of the present application can be implemented, and are not exhaustive. It should be understood that the technical solutions of the present application can be implemented in other ways belonging to one general inventive concept, and should not be limited by the exemplary described embodiments. Based on one or more embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0048] Embodiments: Figure 1 The application shows the implementation flow chart of the cloth cutting control method applied to the automatic cutting bed. Referring to Figure 1 , the cloth cutting control method applied to the automatic cutting bed includes the following steps:

[0049] After the cloth to be cut is covered by the film provided with the layout paper on the lower surface, the image of the layout paper is acquired, and the graphical reference cutting instruction mark on the layout paper is acquired according to the image;

[0050] In the process of performing the cloth cutting task, the image of the layout paper in the target cutting area at the next time step is acquired in sequence and continuously, and the corresponding cutting instruction mark to be adopted is acquired according to the image;

[0051] The coarse-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part is determined, and if the coarse-grained image error rate is lower than the set value, the pre-acquired cutting knife control parameter determined based on the cutting instruction mark to be adopted is used to control the cutting knife work at the next time step,

[0052] If the coarse-grained image error rate is not lower than the set value, the fine-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part is determined, the cutting knife control parameter is optimized according to the fine-grained image error rate, and the optimized cutting knife control parameter is used to control the cutting knife work at the next time step.

[0053] Specifically, in the embodiments of the application, the cloth cutting task is divided into multiple time steps:

[0054] In the first time step, the automatic cutting bed does not control the cutting knife to cut, and the cloth cutting operation starts from the second time step; in the first time step, only the image of the layout paper in the target cutting area at the second time step is acquired, and the corresponding cutting instruction mark to be adopted is acquired according to the image; Since no cutting operation is performed in the first time step, the film will not be uneven, so it is not necessary to determine the coarse-grained image error rate of the cutting instruction mark to be adopted relative to the reference cutting instruction mark of the corresponding part, and the cutting knife work is directly controlled based on the cutting knife control parameter determined by the cutting instruction mark to be adopted at the second time step.

[0055] In the second time step, while the cutter is working under the control of the corresponding cutter control parameter, an image of the drawing paper in the target cutting area in the third time step is acquired, and a corresponding to-be-adopted cutting instruction mark is acquired according to the image. Since the cutting operation is performed in the second time step, the film may be uneven, and at this time, the coarse-grained image error rate of the to-be-adopted cutting instruction mark acquired in the second time step needs to be determined. If the coarse-grained image error rate is lower than a set value, the cutter control parameter determined based on the to-be-adopted cutting instruction mark is used to control the cutter in the third time step. If the coarse-grained image error rate is not lower than the set value, the fine-grained image error rate of the to-be-adopted cutting instruction mark relative to the reference cutting instruction mark of the corresponding part is determined, the cutter control parameter is optimized according to the fine-grained image error rate, and the optimized cutter control parameter is used to control the cutter in the third time step.

[0056] For each time step after the second time step, the working mode is similar to that of the second time step, and the only difference is that the image of the drawing paper in the target cutting area in the next time step acquired in each time step is different.

[0057] Since the cutter is controlled based on the pre-acquired corresponding cutter control parameter in each time step from the second time step, and the cutter control parameter corresponding to the next time step is determined, the cloth cutting control method applied to the automatic cutting bed can achieve the effect of cutting while walking.

[0058] Further, in the embodiment of the present application, the reference cutting instruction mark includes a cutting line and a cutting positioning mark.

[0059] Specifically, in the embodiment of the present application, in the first time step, an image of the drawing paper in the target cutting area in the second time step is acquired, and a corresponding to-be-adopted cutting instruction mark is acquired according to the image. The to-be-adopted cutting instruction mark is usually a part of the current cutting line of the cutting template, and the reference cutting instruction mark of the corresponding part is a corresponding part of the reference cutting line of the cutting template.

[0060] Further, in the embodiment of the present application, determining the coarse-grained image error rate of the to-be-adopted cutting instruction mark relative to the reference cutting instruction mark of the corresponding part includes:

[0061] The first camera shooting parameter used when the complete drawing paper image is collected, and the second camera shooting parameter used when the image of the drawing paper located in the corresponding target cutting area is collected are acquired.

[0062] The to-be-adopted cutting instruction mark and the reference cutting instruction mark under the same camera shooting parameter are acquired according to the first camera shooting parameter and the second camera shooting parameter.

[0063] The first-granularity pixelization processing is performed on the to-be-used cutting instruction mark and the reference cutting instruction mark under the same camera shooting parameter, and a coarse-granularity image error rate is determined by using the image similarity determination method based on pixel comparison.

[0064] In the embodiment of the present application, the specific process of obtaining the coarse-granularity image error rate is as follows:

[0065] A reference camera shooting parameter is determined, and the reference cutting instruction mark under the first camera shooting parameter is converted into the reference cutting instruction mark under the reference camera shooting parameter according to the relationship between the first camera shooting parameter and the reference camera shooting parameter;

[0066] The to-be-used cutting instruction mark under the second camera shooting parameter is converted into the to-be-used cutting instruction mark under the reference camera shooting parameter according to the relationship between the second camera shooting parameter and the reference camera shooting parameter;

[0067] The first-granularity pixelization processing is performed on the to-be-used cutting instruction mark and the reference cutting instruction mark under the same camera shooting parameter, and a coarse-granularity image error rate is determined by using the image similarity determination method based on pixel comparison.

[0068] The camera shooting parameter at least includes the angle and position of the camera shooting.

[0069] Further, in the embodiment of the present application, the fine-granularity image error rate of the to-be-used cutting instruction mark relative to the reference cutting instruction mark of the corresponding part is determined by:

[0070] The first camera shooting parameter used when collecting the complete layout drawing image and the second camera shooting parameter used when collecting the image of the layout drawing located in the corresponding target cutting region are obtained;

[0071] The optical characteristic parameter of the film is obtained;

[0072] The to-be-used cutting instruction mark and the reference cutting instruction mark under the same camera shooting parameter are obtained according to the first camera shooting parameter, the second camera shooting parameter and the optical characteristic parameter of the film;

[0073] The second-granularity pixelization processing is performed on the to-be-used cutting instruction mark and the reference cutting instruction mark under the same camera shooting parameter, and the fine-granularity image error rate is determined by using the image similarity determination method based on pixel comparison, and the second granularity is smaller than the first granularity.

[0074] In the embodiment of the present application, the specific process of obtaining the fine-granularity image error rate is as follows:

[0075] The first relationship between the first camera shooting parameter and the reference camera shooting parameter is determined.

[0076] determining a second relationship between the second camera shooting parameter and the reference camera shooting parameter;

[0077] determining a first reflection light intensity matrix of the film under the first camera shooting parameter according to the optical characteristic parameter of the film and the first camera shooting parameter;

[0078] determining a second reflection light intensity matrix of the film under the second camera shooting parameter according to the optical characteristic parameter of the film and the second camera shooting parameter;

[0079] determining a third reflection light intensity matrix of the film under the reference camera shooting parameter according to the optical characteristic parameter of the film and the reference camera shooting parameter;

[0080] determining a third relationship between the first reflection light intensity matrix and the third reflection light intensity matrix;

[0081] determining a fourth relationship between the second reflection light intensity matrix and the third reflection light intensity matrix;

[0082] converting the reference crop indication mark under the first camera shooting parameter into the reference crop indication mark under the reference camera shooting parameter according to the first relationship and the third relationship;

[0083] converting the crop indication mark under the second camera shooting parameter into the crop indication mark under the reference camera shooting parameter according to the second relationship and the fourth relationship;

[0084] performing a second granularity pixelization processing on the crop indication mark under the reference camera shooting parameter and the reference crop indication mark, and determining a fine-grained image error rate by using an image similarity determination method based on pixel comparison.

[0085] Further, in the embodiment of the present application, the optical characteristic parameter of the film includes diffuse reflectivity and specular reflectivity of the film.

[0086] Further, in the embodiment of the present application, the cutter control parameter includes a cutting angle control parameter and a running direction control parameter.

[0087] Specifically, in the embodiment of the present application, the cutter is controlled based on the cutter control parameter determined in the last time step and the preset cutting depth control parameter and cutting speed control parameter before the cloth cutting task is performed in the current time step. The cutter control parameter includes a cutting angle control parameter and a running direction control parameter, wherein the cutting angle control parameter is used to control the blade surface orientation of the cutter, and the running direction control parameter is used to control the overall translation direction of the cutter.

[0088] Correspondingly, based on the cloth cutting control method applied to the automatic cutting bed, the embodiment of the application further provides a cloth cutting control system applied to the automatic cutting bed.

[0089] Figure 2 The structure block diagram of the cloth cutting control system applied to the automatic cutting bed is shown. Referring to Figure 2 The cloth cutting control system applied to the automatic cutting bed comprises the following functional modules:

[0090] The reference cutting instruction mark acquisition module is configured to acquire the image of the layout drawing after the cloth to be cut is covered by the film provided with the layout drawing on the lower surface, and acquire the graphical reference cutting instruction mark on the layout drawing according to the image.

[0091] The tentative cutting instruction mark acquisition module is configured to acquire the image of the layout drawing in the target cutting area at the next time step in sequence and continuously during the execution of the cloth cutting task, and acquire the corresponding tentative cutting instruction mark according to the image.

[0092] The cutter control module is configured to determine the coarse-grained image error rate of the tentative cutting instruction mark relative to the reference cutting instruction mark of the corresponding part, and if the coarse-grained image error rate is lower than a set value, the pre-acquired cutter control parameter determined based on the tentative cutting instruction mark is used to control the cutter to work at the next time step.

[0093] If the coarse-grained image error rate is not lower than the set value, the fine-grained image error rate of the tentative cutting instruction mark relative to the reference cutting instruction mark of the corresponding part is determined, the cutter control parameter is optimized according to the fine-grained image error rate, and the optimized cutter control parameter is used to control the cutter to work at the next time step.

[0094] Correspondingly, based on the cloth cutting control method applied to the automatic cutting bed, the embodiment of the application further provides an electronic device, which comprises a processor and a memory, and the processor implements the cloth cutting control method applied to the automatic cutting bed when executing the computer program saved in the memory.

[0095] Although one or more embodiments of the application are described above, it should be understood by those skilled in the art that the application can be implemented in any other form without departing from the spirit and scope of the application. Therefore, the above-described embodiments are illustrative rather than limiting, and many modifications and substitutions are obvious to those skilled in the art without departing from the spirit and scope of the application as defined by the appended claims.

Claims

1. A fabric cutting control method applied to an automatic cutting bed, characterized in that, include: After the fabric to be cut is covered by a film with a layout pattern on its lower surface, an image of the layout pattern is obtained, and graphical reference cutting instruction marks on the layout pattern are obtained based on the image. During the fabric cutting task, images of the layout drawing in the target cutting area at the next time step are acquired sequentially and continuously, and the corresponding cutting instruction mark to be used is obtained based on the image. The coarse-grained image error rate of the proposed cropping indicator relative to the reference cropping indicator of the corresponding part is determined. If the coarse-grained image error rate is lower than a set value, the cutting blade is controlled to operate using pre-acquired cutting blade control parameters determined based on the proposed cropping indicator in the next time step. If the coarse-grained image error rate is not lower than the set value, then the fine-grained image error rate of the proposed cutting indicator relative to the reference cutting indicator of the corresponding part is determined, the cutting blade control parameters are optimized according to the fine-grained image error rate, and the cutting blade is controlled to work using the optimized cutting blade control parameters in the next time step. The determination of the coarse-grained image error rate of the proposed cropping indicator relative to the reference cropping indicator of the corresponding portion includes: The first camera capture parameters used when acquiring the complete nesting drawing image, and the second camera capture parameters used when acquiring the nesting drawing image located within the corresponding target cutting area; Based on the first camera's image capture parameters and the second camera's image capture parameters, obtain the proposed cropping indicator mark and the baseline cropping indicator mark under the same camera's image capture parameters; The proposed cropping indicator and the baseline cropping indicator under the same camera shooting parameters are pixelated at the first granularity, and the coarse-grained image error rate is determined by the image similarity determination method based on pixel comparison. The determination of the fine-grained image error rate of the proposed cropping indicator relative to the reference cropping indicator of the corresponding portion includes: The first camera capture parameters used when acquiring the complete nesting drawing image, and the second camera capture parameters used when acquiring the nesting drawing image located within the corresponding target cutting area; Obtain the optical property parameters of the thin film; Based on the first camera's image capture parameters, the second camera's image capture parameters, and the optical property parameters of the thin film, obtain the proposed cutting indicator mark and the reference cutting indicator mark under the same camera's image capture parameters; The proposed cropping indicator and the baseline cropping indicator under the same camera shooting parameters are pixelated at a second granularity, and the fine-grained image error rate is determined by an image similarity determination method based on pixel comparison, wherein the second granularity is smaller than the first granularity.

2. The fabric cutting control method applied to an automatic cutting bed according to claim 1, characterized in that, The reference cutting indicator marks include cutting lines and cutting positioning marks.

3. The fabric cutting control method applied to an automatic cutting bed according to claim 1, characterized in that, The optical properties of the thin film include its diffuse reflectance and specular reflectance.

4. The fabric cutting control method applied to an automatic cutting bed according to claim 3, characterized in that, The cutting blade control parameters include cutting angle control parameters and travel direction control parameters.

5. A fabric cutting control system applied to an automatic cutting bed, characterized in that, include: The reference cutting indicator mark acquisition module is used to acquire an image of the layout drawing after the fabric to be cut is covered by a film with a layout drawing set on its lower surface, and to acquire the graphical reference cutting indicator mark on the layout drawing based on the image. A cutting indicator mark acquisition module is proposed to acquire images of the layout drawing in the target cutting area at the next time step sequentially and continuously during the fabric cutting task, and to acquire the corresponding cutting indicator mark based on the image. The cutting blade control module is used to determine the coarse-grained image error rate of the proposed cutting indicator mark relative to the reference cutting indicator mark of the corresponding part. If the coarse-grained image error rate is lower than a set value, the cutting blade is controlled to operate using pre-acquired cutting blade control parameters determined based on the proposed cutting indicator mark in the next time step. If the coarse-grained image error rate is not lower than the set value, then the fine-grained image error rate of the proposed cutting indicator relative to the reference cutting indicator of the corresponding part is determined, the cutting blade control parameters are optimized according to the fine-grained image error rate, and the cutting blade is controlled to work using the optimized cutting blade control parameters in the next time step. The determination of the coarse-grained image error rate of the proposed cropping indicator relative to the reference cropping indicator of the corresponding portion includes: The first camera capture parameters used when acquiring the complete nesting drawing image, and the second camera capture parameters used when acquiring the nesting drawing image located within the corresponding target cutting area; Based on the first camera's image capture parameters and the second camera's image capture parameters, obtain the proposed cropping indicator mark and the baseline cropping indicator mark under the same camera's image capture parameters; The proposed cropping indicator and the baseline cropping indicator under the same camera shooting parameters are pixelated at the first granularity, and the coarse-grained image error rate is determined by the image similarity determination method based on pixel comparison. The determination of the fine-grained image error rate of the proposed cropping indicator relative to the reference cropping indicator of the corresponding portion includes: The first camera capture parameters used when acquiring the complete nesting drawing image, and the second camera capture parameters used when acquiring the nesting drawing image located within the corresponding target cutting area; Obtain the optical property parameters of the thin film; Based on the first camera's image capture parameters, the second camera's image capture parameters, and the optical property parameters of the thin film, obtain the proposed cutting indicator mark and the reference cutting indicator mark under the same camera's image capture parameters; The proposed cropping indicator and the baseline cropping indicator under the same camera shooting parameters are pixelated at a second granularity, and the fine-grained image error rate is determined by an image similarity determination method based on pixel comparison, wherein the second granularity is smaller than the first granularity.

6. An electronic device comprising a processor and a memory, wherein the processor executes a computer program stored in the memory to implement the fabric cutting control method for an automatic cutting bed as described in any one of claims 1-4.

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