Intelligent paper-cutting scissors and cutting control method thereof

Abstract

The invention relates to the technical field of paper cutting, in particular to intelligent paper-cutting scissors and a cutting control method thereof.The intelligent paper-cutting scissors comprise a scissors body, an intelligent recognition device, a controller, an execution mechanism and a feedback mechanism; the intelligent identification device, the controller, the execution mechanism and the feedback mechanism are respectively fixed on the scissor body; the controller is electrically connected with the intelligent recognition device, the execution mechanism and the feedback mechanism. The scissor body comprises a pair of blades and a grab handle which are connected through a rotating shaft; the intelligent recognition device comprises a camera arranged above the blade, a light sensor and distance sensors distributed on the two sides of the blade. The executing mechanism comprises a motor and a laser which are arranged on the scissor body; the feedback mechanism comprises a vibration motor and a loudspeaker which are arranged on the scissor body. According to the invention, the paper cutting is simplified, so that the old people can simply cut satisfactory works.

Description

Technical Field

[0001] The present invention relates to the technical field of paper cutting, and in particular to a pair of intelligent paper cutting scissors and a cutting control method thereof. Background Art

[0002] In recent years, due to the increasing aging of the global population, most empty-nest elderly people lack spiritual care and feel strong loneliness that is difficult to relieve. Art activities can help the elderly express their inner emotions in non-verbal ways. Paper-cutting art, with its profound cultural heritage and simple operation characteristics, has become one of the most popular activities in the field of art-based elderly care.

[0003] Traditional paper-cutting tools, such as ordinary scissors, have gradually revealed their shortcomings when used by the elderly. As seniors age, their hand dexterity and vision decline, making it difficult for them to cut intricate patterns using ordinary scissors. This not only easily ruins the work, frustrating their enthusiasm, but also can lead to hand fatigue from prolonged, forceful gripping, making them reluctant to engage in artistic endeavors.

[0004] Therefore, there is an urgent need for a kind of intelligent paper-cutting scissors and cutting control method thereof. Summary of the Invention

[0005] (1) Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides an intelligent paper-cutting scissors and a cutting control method thereof, which solves the technical problems in the prior art that traditional scissors are difficult to operate when cutting paper and it is difficult for the elderly to use traditional scissors to cut fine and complex patterns.

[0007] (2) Technical solution

[0008] In order to achieve the above objectives, the main technical solutions adopted by the present invention include:

[0009] In a first aspect, an embodiment of the present invention provides a smart paper-cutting scissors, comprising:

[0010] Scissors body, intelligent identification device, controller, actuator and feedback mechanism;

[0011] The intelligent recognition device, controller, actuator and feedback mechanism are respectively fixed on the scissors body; the controller is electrically connected to the intelligent recognition device, actuator and feedback mechanism respectively;

[0012] The scissors body includes a pair of blades and a handle connected by a rotating shaft; the intelligent recognition device includes a camera arranged above the blade, a light sensor, and distance sensors distributed on both sides of the blade; the actuator includes a motor and a laser arranged on the scissors body; the feedback mechanism includes a vibration motor and a speaker arranged on the scissors body.

[0013] Optionally, the camera is a wide-angle miniature camera with a viewing angle of ≥120°, which is integrated with the laser and the light sensor in the same module, and the module is located above the blade and 5-8 mm away from the rotation axis;

[0014] The distance sensor includes two groups of lateral sensors and one group of tip sensors. The lateral sensors are symmetrically distributed on the edges of both sides of the blade, and the tip sensor is arranged at the front end of the blade.

[0015] Optionally, in the smart paper-cutting scissors, the smart recognition device further includes:

[0016] At least two pressure regulators; the pressure regulators are symmetrically arranged inside the handle of the scissors body.

[0017] In a second aspect, an embodiment of the present invention provides a cutting control method of the smart paper-cutting scissors according to any one of the first aspects, characterized by comprising:

[0018] S100, a controller receives a target paper-cutting pattern selected by a user from a pre-stored knowledge base, and extracts a standard cutting path coordinate set corresponding to the pattern;

[0019] S200, the controller obtains paper information of the paper to be cut collected in real time by the intelligent recognition device, and obtains a dynamic cutting path of the paper to be cut according to the paper information and a standard cutting path coordinate set;

[0020] The paper information includes: paper outline and paper thickness information;

[0021] S300, the controller sends the dynamic cutting path of the paper to be cut to the laser, the laser receives the dynamic cutting path of the paper to be cut, and projects a red guide line of the dynamic cutting path on the surface of the paper to be cut according to the dynamic cutting path, so that the user can cut according to the laser path.

[0022] Optionally, the method further includes:

[0023] S400, the controller tracks the actual cutting trajectory in real time and compares the deviation with the dynamic cutting path of the paper to be cut. When the deviation value between the actual cutting trajectory and the dynamic cutting path exceeds 2mm, the controller sends an alarm instruction to the feedback mechanism; the feedback mechanism receives the alarm instruction sent by the controller and issues an alarm. At the same time, the controller re-executes steps S200 to S300 to update the dynamic cutting path of the paper to be cut.

[0024] Optionally, the alarm instruction includes a graded warning instruction;

[0025] When the deviation between the actual cutting trajectory and the dynamic cutting path is 2-3mm, the vibration motor vibrates intermittently at a low frequency. When the deviation is greater than 3mm, the vibration motor vibrates continuously at a high frequency and the speaker plays a voice prompt.

[0026] Optionally, the S200 specifically includes:

[0027] S210, performing affine transformation matching on the paper outline and the standard clipping path coordinate set to obtain an optimal transformation matrix, obtaining an updated clipping path coordinate set according to the optimal transformation matrix, and generating a first dynamic clipping path;

[0028] S220 . Predict the cutting resistance distribution through finite element simulation according to the paper thickness information, and obtain a dynamic cutting path by avoiding the resistance peak area in the cutting resistance distribution according to the Dijkstra algorithm and the first dynamic cutting path.

[0029] Optionally, the S210 includes:

[0030] According to the paper outline, obtain the paper outline vertex coordinate set, input the standard clipping coordinate set and the paper outline vertex set into the following formula to obtain the optimal transformation matrix:

[0031]

[0032] Among them, (u i , v i ) is the standard clipping path coordinate, (x i ,y i ) are the coordinates of the vertices of the paper contour, k is the number of coordinate point pairs used for affine transformation matching, ||·|| 2 is the square of the Euclidean norm, which represents the position error after the coordinate point is mapped. M is the affine transformation matrix, and k≤min(m,n), that is, the number of points that selects the smaller one between the standard clipping path and the paper outline.

[0033] Optionally, the method further includes:

[0034] S500. The controller sends an adjustment instruction to the pressure regulator according to the thickness information of the paper to be cut. The regulator adjusts the opening and closing amplitude of the blade according to the adjustment instruction. When the paper thickness is ≤0.2mm, the opening and closing amplitude of the scissors body is ≤2.5mm; when the paper thickness is greater than 0.2mm and ≤0.5mm, the opening and closing amplitude of the scissors body is ≤3.8mm; when the paper thickness is greater than 0.5mm, the opening and closing amplitude of the scissors body is <5mm.

[0035] Optionally, the method further includes:

[0036] S600. When the user stops the operation, the controller obtains the user's target paper-cutting pattern and dynamic clipping path, obtains the path coordinate set of the target paper-cutting pattern according to the dynamic clipping path, and stores the target paper-cutting pattern and the corresponding path coordinate set in a pre-stored knowledge base.

[0037] (3) Beneficial effects

[0038] The beneficial effects of the present invention are: the intelligent paper-cutting scissors of the present invention have a simple design and are easy to use due to the use of an intelligent recognition device, a controller and an actuator. Compared with the existing technology, it is simple to operate and can ensure the quality of paper-cutting, add a little color to the lives of the elderly, promote the development of creation among the elderly, and let the elderly feel the rich and colorful traditional art therapy.

[0039] Furthermore, the cutting control method of the intelligent paper-cutting scissors of the present invention enables the elderly to easily cut out complex paper-cutting works. While enriching the elderly's life in their later years, it can exercise the elderly's hand strength, delay the decline of hand function, and is of great benefit to their physical health. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of a cutting control method for intelligent paper-cutting scissors according to embodiment 2 of the present invention;

[0041] Figure 2 This is a structural diagram of a pair of intelligent paper-cutting scissors according to Example 1 of the present invention. DETAILED DESCRIPTION

[0042] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation methods in conjunction with the accompanying drawings.

[0043] To better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. Instead, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0044] Example 1

[0045] See also Figure 1 , an intelligent paper-cutting scissors according to an embodiment of the present invention comprises:

[0046] Scissors body, intelligent identification device, controller, actuator and feedback mechanism;

[0047] The intelligent recognition device, the controller, the actuator and the feedback mechanism are respectively fixed on the scissors body; the controller is electrically connected to the intelligent recognition device, the actuator and the feedback mechanism respectively;

[0048] The scissors body includes a pair of blades and handles connected by a rotating shaft. The scissors body is also equipped with a display screen with a resolution of 128×64 pixels, which is used to display paper-cutting patterns, operation guides, power information and other status in real time. The display screen is located above the handle for user viewing. The intelligent recognition device includes a camera above the blade, a light sensor and distance sensors distributed on both sides of the blade. The actuator includes a motor and a laser arranged on the scissors body. The feedback mechanism includes a vibration motor and a speaker arranged on the scissors body.

[0049] The camera is a wide-angle micro camera with a viewing angle of ≥120°. It is integrated with the laser and light sensor in the same module, and the module is located above the blade and 5-8 mm away from the rotation axis.

[0050] The distance sensor includes two groups of lateral sensors and one group of tip sensors. The lateral sensors are symmetrically distributed on the edges of both sides of the blade, and the tip sensor is arranged at the front end of the blade.

[0051] Furthermore, the intelligent identification device also includes:

[0052] At least two pressure regulators; the pressure regulators are symmetrically arranged inside the handle of the scissors body.

[0053] In this embodiment, a high-pixel, wide-angle miniature camera is installed above the scissors blades near the axis. Its field of view covers the area of paper to be cut, ensuring that every detail on the paper is clearly captured. Furthermore, an accompanying light sensor automatically adjusts the camera's exposure parameters based on ambient light intensity, ensuring stable, high-quality images are captured under varying lighting conditions, such as natural indoor light, dimly lit corners, and strong outdoor light. This provides a solid data foundation for subsequent accurate recognition.

[0054] Furthermore, multiple sets of distance sensors are built in, distributed on both sides and the tip of the blade, which can not only accurately feedback the paper thickness information, but also start the recognition program in advance when the user is about to perform the detection action, realize intelligent prediction and improve operational efficiency.

[0055] In addition, by setting up multiple sets of distance sensors and pressure regulators, the distance between the hand skin and the blade can be effectively identified. When the distance between the hand skin and the blade is too small, the pressure regulator will adjust the pressure to the maximum and issue an alarm at the same time to prevent the elderly from being injured.

[0056] Furthermore, during the specific design process, rubber was selected as the handle material for the scissors. The rubber handle is soft and has moderate friction, making it convenient for the elderly to hold and use. In addition, the handle is designed according to ergonomics, and the rounded structure fits the hand naturally, reducing the user's discomfort when cutting paper.

[0057] The intelligent paper-cutting scissors of this embodiment are suitable for the elderly. They have a simple structure and are easy to operate. They can help the elderly complete cutting tasks more easily and accurately, and reduce the hand burden and psychological pressure of using traditional scissors.

[0058] Example 2

[0059] This embodiment provides a cutting control method based on intelligent paper-cutting scissors, wherein the intelligent paper-cutting scissors are the intelligent paper-cutting scissors in Example 1, and the cutting control method includes:

[0060] Step S100: The controller receives a target paper-cutting pattern selected by the user from a pre-stored knowledge base, and extracts a standard cutting path coordinate set corresponding to the pattern;

[0061] Step S200: The controller obtains the paper information of the paper to be cut collected in real time by the intelligent recognition device, and obtains the dynamic cutting path of the paper to be cut according to the paper information and the standard cutting path coordinate set;

[0062] Paper information includes: paper outline and paper thickness information;

[0063] Step S300: The controller sends the dynamic cutting path of the paper to be cut to the laser. The laser receives the dynamic cutting path of the paper to be cut and projects a red guide line of the dynamic cutting path on the surface of the paper to be cut according to the dynamic cutting path, allowing the user to cut according to the laser path.

[0064] The preset knowledge base in this embodiment adopts a three-level deep learning architecture, including a 1.2TB structured paper-cutting database and more than 2 million paper-cutting process feature vectors. The specific structure is as follows:

[0065]

[0066]

[0067] This embodiment also includes: step S400, the controller tracks the actual cutting trajectory in real time and compares the deviation with the dynamic cutting path of the paper to be cut. When the deviation value between the actual cutting trajectory and the dynamic cutting path exceeds 2 mm, the controller sends an alarm instruction to the feedback mechanism; the feedback mechanism receives the alarm instruction sent by the controller and issues an alarm. At the same time, the controller re-executes steps S200 to S300 to update the dynamic cutting path of the paper to be cut.

[0068] Among them, the alarm instructions include graded warning instructions;

[0069] When the deviation between the actual cutting trajectory and the dynamic cutting path is 2-3mm, the vibration motor vibrates intermittently at a low frequency. When the deviation is greater than 3mm, the vibration motor vibrates continuously at a high frequency and the speaker plays a voice prompt.

[0070] In step S400, when the deviation between the actual cutting trajectory and the dynamic cutting path is between 2-3 mm, the vibration motor starts to operate, performing intermittent low-frequency vibration. This intermittent low-frequency vibration is designed to remind the operator of possible cutting deviation problems in a relatively gentle manner when the deviation is relatively small. The frequency of the low-frequency vibration can be set to, for example, 12 vibrations per second, and the intermittent time can be set to vibrate for 1 second and stop for 2 seconds, and so on. This can provide a reminder without excessively disrupting the operating environment.

[0071] When the deviation exceeds 3mm, the situation becomes more serious. The vibration motor will vibrate continuously at a high frequency, for example, 5-6 times per second, while the speaker plays a voice prompt. The voice prompt might include a phrase such as "Cutting deviation is too large. Please check the device or paper position," clearly informing the operator of the problem. This dual alarm system can more strongly attract the operator's attention and prompt them to address the deviation promptly.

[0072] In this embodiment, in step S200, the controller obtains the paper information of the paper to be cut collected in real time by the intelligent recognition device, specifically including:

[0073] (1) Using a camera to shoot the paper to be cut, obtaining a color image of the paper;

[0074] (2) The color image is converted into a grayscale image by a weighted averaging method (such as 0.299R+0.587G+0.114B), and a filter is used to remove noise from the image, such as a Gaussian filter, which can smooth the noise while maintaining the image features.

[0075] (3) Convert the grayscale image to a black and white image (binary image) so that the paper part and the background form a clear contrast. Use adaptive thresholding or global thresholding (such as Otsu's method) to automatically select the optimal threshold based on the image histogram.

[0076] (4) Using an edge detection algorithm, such as the Canny edge detection algorithm, the preprocessed image is subjected to edge detection to extract the edge contour of the paper. The extracted paper contour data is transmitted to the controller, which further processes and analyzes the contour data, such as calculating the contour's perimeter, area, center of gravity, and other parameters, in order to determine the paper contour information.

[0077] (5) The distance sensor transmits a signal to the paper surface and receives the reflected signal. The distance from the sensor to the paper surface is calculated based on the signal's propagation time and speed. The controller calculates the paper thickness based on the distance value measured by the distance sensor and known device parameters (such as the sensor's installation position and angle).

[0078] Furthermore, step S200 specifically includes:

[0079] Step S210: Perform affine transformation matching on the paper outline and the standard clipping path coordinate set to obtain an optimal transformation matrix, obtain an updated clipping path coordinate set based on the optimal transformation matrix, and generate a first dynamic clipping path;

[0080] Step S220: Predict the cutting resistance distribution through finite element simulation according to the paper thickness information, and obtain a dynamic cutting path by avoiding the resistance peak area in the cutting resistance distribution according to the Dijkstra algorithm and the first dynamic cutting path.

[0081] Wherein, step S210 includes:

[0082] According to the paper outline, obtain the paper outline vertex coordinate set, input the standard clipping coordinate set and the paper outline vertex set into the following formula to obtain the optimal transformation matrix:

[0083]

[0084] Among them, (u i , v i ) is the standard clipping path coordinate, (x i ,y i ) are the coordinates of the vertices of the paper contour, k is the number of coordinate point pairs used for affine transformation matching, ||·|| 2 is the square of the Euclidean norm, which represents the position error after the coordinate point is mapped. T represents the transpose operation. M is the affine transformation matrix. m and n represent the number of points in the standard clipping path and the paper outline, respectively. k≤min(m,n), that is, the smaller number of points between the standard clipping path and the paper outline is selected.

[0085] Step S220 specifically includes:

[0086] First, a finite element model is established based on the paper's physical properties (the material of the paper) and its geometric shape (determined by the previously acquired paper outline). The paper is considered as a two-dimensional or three-dimensional elastic body, and its element type can be selected based on the paper's properties and the required computational accuracy, such as quadrilateral or hexahedral elements. The paper thickness information is input as an important parameter of the finite element model. Different paper thicknesses affect the stress-strain relationship of the paper during the cutting process. Thicker paper may have higher shear strength and different deformation characteristics.

[0087] Finite element analysis software is used to simulate the stress and strain distribution within the paper as the cutting tool moves across it. During this process, the software calculates the resistance of the paper to the cutting tool at different locations based on the paper's thickness and material properties. The resistance value of each unit of the paper during the cutting process is extracted from the finite element simulation results. These resistance values form a two-dimensional (if the paper is simplified as a flat model) or three-dimensional (when considering stress variations along the thickness of the paper) resistance distribution matrix.

[0088] Analyze and visualize the resistance distribution matrix, for example, by displaying the clipping resistance of different areas on the paper through contour maps or 3D surface maps, so as to clearly identify the peak resistance areas and areas with relatively low resistance.

[0089] The paper surface is discretized into a network consisting of nodes and edges. Nodes are specific points on the paper surface (e.g., determined by a specific grid division), while edges represent the connections between nodes. Edge weights are set as the clipping resistance between adjacent nodes. The starting and ending points are determined based on the clipping task. For example, the starting point is where the clipping begins at the edge of the paper, and the ending point is the last point of the clipped shape.

[0090] The Dijkstra algorithm is used to search the entire network from the starting point. During the search process, when encountering a node corresponding to the resistance peak area, it is bypassed until the end point is reached, thereby obtaining an optimal path that avoids the resistance peak area. This is the dynamic clipping path.

[0091] The clipping control method in this embodiment further includes:

[0092] Step S500: The controller sends an adjustment instruction to the pressure regulator according to the thickness information of the paper to be cut. The regulator adjusts the opening and closing amplitude of the blade according to the adjustment instruction. When the paper thickness is ≤0.2mm, the opening and closing amplitude of the scissors body is ≤2.5mm; when the paper thickness is greater than 0.2mm and ≤0.5mm, the opening and closing amplitude of the scissors body is ≤3.8mm; when the paper thickness is greater than 0.5mm, the opening and closing amplitude of the scissors body is <5mm.

[0093] In practice, the controller adjusts the blade's opening and closing range by controlling the pressure of the pressure regulator. Initially, the pressure regulator has a default pressure value, corresponding to the scissors being in a closed or minimum opening state. This default pressure value is set based on the mechanical characteristics of the scissors and the minimum blade opening and closing range required. For example, for a paper thickness of ≤0.2mm and a scissors opening and closing range of ≤2.5mm, the initial pressure is set to a value that maintains the blade within this opening and closing range.

[0094] When the controller detects a paper thickness of 0.2mm or less, it sends a signal to the pressure regulator based on a preset mapping, causing it to maintain a lower pressure level. This lower pressure generates a force acting on the blade opening and closing mechanism, keeping the blade opening and closing amplitude ≤2.5mm. Because thinner paper requires a smaller blade opening and closing amplitude to cut, lower pressure is sufficient to meet this requirement while also avoiding excessive compression or damage to the paper.

[0095] When the paper thickness is between 0.2mm and 0.5mm, the controller instructs the pressure regulator to increase the pressure to an appropriate level. This moderate pressure acts on the blade opening and closing mechanism, keeping the scissors open and closed to 3.8mm or less. As paper becomes thicker, a wider blade opening and closing range is required for effective cutting, so the pressure needs to be increased appropriately to adjust the blade opening and closing.

[0096] For paper thicknesses greater than 0.5mm, the controller sends a signal to the pressure regulator to increase the pressure further. This higher pressure acts on the blade opening and closing mechanism, reducing the scissors' opening and closing range to less than 5mm. Thicker paper requires a wider opening and closing range, and higher pressure can meet this requirement, ensuring the scissors can smoothly cut thicker paper.

[0097] During the entire process described above, the distance sensor installed on the blade will monitor the opening and closing range of the blade in real time and feed the data back to the controller.

[0098] Furthermore, in this embodiment, when the distance sensor detects that the distance between the hand skin and the blade is less than 0.5 cm, the distance sensor sends information that the distance is too small to the controller. The controller receives the information and sends an instruction to adjust the pressure to the pressure regulator. After receiving the instruction, the pressure regulator increases the pressure to the maximum pressure of the pressure regulator. At this time, the scissors are locked, thereby avoiding harm to the elderly.

[0099] The method of this embodiment also includes:

[0100] Step S600: When the user stops the operation, the controller obtains the user's target paper-cutting pattern and dynamic cutting path, obtains the path coordinate set of the target paper-cutting pattern based on the dynamic cutting path, and stores the target paper-cutting pattern and the corresponding path coordinate set in a pre-stored knowledge base. The dynamic recommendation library in the pre-stored knowledge base can then generate a personalized pattern recommendation list based on the user's target paper-cutting pattern and the corresponding path coordinate set, allowing the user to select a more suitable pattern the next time they use the paper-cutting method.

[0101] The cutting control method for intelligent paper-cutting scissors in this embodiment is simple to operate and convenient, allowing seniors to quickly master and become addicted to the technology. The scissors' exceptionally simple design makes operation less complicated, allowing seniors to easily enjoy the joy of paper-cutting. This invention not only brings enjoyment to the elderly but also enhances their hand-eye coordination, helping them express emotions and relieve stress. It also significantly improves communication with others, reduces loneliness, and enhances quality of life and happiness.

[0102] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0103] In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connect," "fixed," etc. should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; and internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0104] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0105] In the description of this specification, the terms "one embodiment", "some embodiments", "embodiments", "examples", "specific examples" or "some examples" refer to the specific features, structures, materials or characteristics described in conjunction with the embodiment or example and included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and features of different embodiments or examples, unless they are mutually inconsistent.

[0106] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may alter, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A smart paper-cutting scissors, characterized in that: include: Scissors body, intelligent identification device, controller, actuator and feedback mechanism; The intelligent recognition device, controller, actuator and feedback mechanism are respectively fixed on the scissors body; the controller is electrically connected to the intelligent recognition device, actuator and feedback mechanism respectively; The scissors body includes a pair of blades and a handle connected by a rotating shaft; the intelligent recognition device includes a camera arranged above the blade, a light sensor, and distance sensors distributed on both sides of the blade; the actuator includes a motor and a laser arranged on the scissors body; the feedback mechanism includes a vibration motor and a speaker arranged on the scissors body.

2. The intelligent paper-cutting scissors according to claim 1, characterized in that: The camera is a wide-angle miniature camera with a viewing angle of ≥120°, which is integrated with the laser and light sensor in the same module, and the module is located above the blade and 5-8 mm away from the rotation axis; The distance sensor includes two groups of lateral sensors and one group of tip sensors. The lateral sensors are symmetrically distributed on the edges of both sides of the blade, and the tip sensor is arranged at the front end of the blade.

3. The intelligent paper-cutting scissors according to claim 1, characterized in that: In the intelligent paper-cutting scissors, the intelligent recognition device further includes: At least two pressure regulators; the pressure regulators are symmetrically arranged inside the handle of the scissors body.

4. A cutting control method based on the intelligent paper-cutting scissors according to any one of claims 1 to 3, characterized in that: include: S100, a controller receives a target paper-cutting pattern selected by a user from a pre-stored knowledge base, and extracts a standard cutting path coordinate set corresponding to the pattern; S200, the controller obtains paper information of the paper to be cut collected in real time by the intelligent recognition device, and obtains a dynamic cutting path of the paper to be cut according to the paper information and a standard cutting path coordinate set; The paper information includes: paper outline and paper thickness information; S300, the controller sends the dynamic cutting path of the paper to be cut to the laser, the laser receives the dynamic cutting path of the paper to be cut, and projects a red guide line of the dynamic cutting path on the surface of the paper to be cut according to the dynamic cutting path, so that the user can cut according to the laser path.

5. The cutting control method of the intelligent paper-cutting scissors according to claim 4, characterized in that: The method further comprises: S400, the controller tracks the actual cutting trajectory in real time and compares the deviation with the dynamic cutting path of the paper to be cut. When the deviation value between the actual cutting trajectory and the dynamic cutting path exceeds 2mm, the controller sends an alarm instruction to the feedback mechanism; the feedback mechanism receives the alarm instruction sent by the controller and issues an alarm. At the same time, the controller re-executes steps S200 to S300 to update the dynamic cutting path of the paper to be cut.

6. The cutting control method of the intelligent paper-cutting scissors according to claim 5, characterized in that: The alarm instructions include graded warning instructions; When the deviation between the actual cutting trajectory and the dynamic cutting path is 2-3mm, the vibration motor vibrates intermittently at a low frequency. When the deviation is greater than 3mm, the vibration motor vibrates continuously at a high frequency and the speaker plays a voice prompt.

7. The cutting control method of the intelligent paper-cutting scissors according to claim 4, characterized in that: The S200 specifically includes: S210, performing affine transformation matching on the paper outline and the standard clipping path coordinate set to obtain an optimal transformation matrix, and obtaining an updated clipping path coordinate set according to the optimal transformation matrix to generate a first dynamic clipping path; S220 . Predict the cutting resistance distribution through finite element simulation according to the paper thickness information, and obtain a dynamic cutting path by avoiding the resistance peak area in the cutting resistance distribution according to the Dijkstra algorithm and the first dynamic cutting path.

8. The cutting control method of the intelligent paper-cutting scissors according to claim 7, characterized in that: The S210 includes: According to the paper outline, obtain the paper outline vertex coordinate set, input the standard clipping coordinate set and the paper outline vertex set into the following formula to obtain the optimal transformation matrix: Among them, (u i , v i ) is the standard clipping path coordinate, (x i ,y i ) are the coordinates of the vertices of the paper contour, k is the number of coordinate point pairs used for affine transformation matching, ||·|| 2 is the square of the Euclidean norm, which represents the position error after the coordinate point is mapped. T represents the transpose operation. M is the affine transformation matrix. m and n represent the number of points in the standard clipping path and the paper outline, respectively. k≤min(m,n), that is, the smaller number of points between the standard clipping path and the paper outline is selected.

9. The cutting control method of the intelligent paper-cutting scissors according to claim 4, characterized in that: The method further comprises: S500. The controller sends an adjustment instruction to the pressure regulator according to the thickness information of the paper to be cut. The regulator adjusts the opening and closing amplitude of the blade according to the adjustment instruction. When the paper thickness is ≤0.2mm, the opening and closing amplitude of the scissors body is ≤2.5mm; when the paper thickness is greater than 0.2mm and ≤0.5mm, the opening and closing amplitude of the scissors body is ≤3.8mm; when the paper thickness is greater than 0.5mm, the opening and closing amplitude of the scissors body is <5mm.

10. The cutting control method of the intelligent paper-cutting scissors according to claim 4, characterized in that: The method further comprises: S600. When the user stops the operation, the controller obtains the user's target paper-cutting pattern and dynamic clipping path, obtains the path coordinate set of the target paper-cutting pattern according to the dynamic clipping path, and stores the target paper-cutting pattern and the corresponding path coordinate set in a pre-stored knowledge base.

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